Tyndall Centre Inproceedings
2019
Edo-Osagie, Oduwa; Iglesia, Beatriz De La; Lake, Iain; Edeghere, Obaghe
Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing Proceedings Article
In: Marsico, Maria De; di Baja, Gabriella Sanniti; Fred, Ana L. N. (Ed.): Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods ICPRAM, pp. 491–500, Science and Technology Publications, Lda, 2019, ISBN: 9789897583513, (Funding Information: We acknowledge support from NHS 111 and NHS Digital for their assistance and support with the NHS 111 system; Out-of-Hours providers submitting data to the GPOOH syndromic surveillance and Advanced Heath & Care. The authors also acknowledge support from the Public Health England Real-time Syndromic Surveillance Team. Beatriz De La Iglesia and Iain Lake receive support from the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Emergency Preparedness and Response. Publisher Copyright: © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 8th International Conference on Pattern Recognition Applications and Methods , ICPRAM 2019 ; Conference date: 19-02-2019 Through 21-02-2019).
@inproceedings{2392d2e910784a9fa6727b4ad68edc32,
title = {Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing},
author = {Oduwa Edo-Osagie and Beatriz De La Iglesia and Iain Lake and Obaghe Edeghere},
editor = {Maria De Marsico and Gabriella Sanniti di Baja and Ana L. N. Fred},
url = {http://www.icpram.org},
doi = {10.5220/0007366904910500},
isbn = {9789897583513},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods ICPRAM},
pages = {491–500},
publisher = {Science and Technology Publications, Lda},
series = {International Conference on Pattern Recognition Applications and Methods},
abstract = {In this paper, we investigate deep learning methods that may extract some word context for Twitter mining for syndromic surveillance. Most of the work on syndromic surveillance has been done on the flu or Influenza- Like Illnesses (ILIs). For this reason, we decided to look at a different but equally important syndrome, asthma/difficulty breathing, as this is quite topical given global concerns about the impact of air pollution. We also compare deep learning algorithms for the purpose of filtering Tweets relevant to our syndrome of interest, asthma/difficulty breathing. We make our comparisons using different variants of the F-measure as our evaluation metric because they allow us to emphasise recall over precision, which is important in the context of syndromic surveillance so that we do not lose relevant Tweets in the classification. We then apply our relevance filtering systems based on deep learning algorithms, to the task of syndromic surveillance and compare the results with real-world syndromic surveillance data provided by Public Health England (PHE).We find that the RNN performs best at relevance filtering but can also be slower than other architectures which is important for consideration in real-time application. We also found that the correlation between Twitter and the real-world asthma syndromic surveillance data was positive and improved with the use of the deep- learning-powered relevance filtering. Finally, the deep learning methods enabled us to gather context and word similarity information which we can use to fine tune the vocabulary we employ to extract relevant Tweets in the first place.},
note = {Funding Information: We acknowledge support from NHS 111 and NHS Digital for their assistance and support with the NHS 111 system; Out-of-Hours providers submitting data to the GPOOH syndromic surveillance and Advanced Heath & Care. The authors also acknowledge support from the Public Health England Real-time Syndromic Surveillance Team. Beatriz De La Iglesia and Iain Lake receive support from the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Emergency Preparedness and Response. Publisher Copyright: © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 8th International Conference on Pattern Recognition Applications and Methods , ICPRAM 2019 ; Conference date: 19-02-2019 Through 21-02-2019},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we investigate deep learning methods that may extract some word context for Twitter mining for syndromic surveillance. Most of the work on syndromic surveillance has been done on the flu or Influenza- Like Illnesses (ILIs). For this reason, we decided to look at a different but equally important syndrome, asthma/difficulty breathing, as this is quite topical given global concerns about the impact of air pollution. We also compare deep learning algorithms for the purpose of filtering Tweets relevant to our syndrome of interest, asthma/difficulty breathing. We make our comparisons using different variants of the F-measure as our evaluation metric because they allow us to emphasise recall over precision, which is important in the context of syndromic surveillance so that we do not lose relevant Tweets in the classification. We then apply our relevance filtering systems based on deep learning algorithms, to the task of syndromic surveillance and compare the results with real-world syndromic surveillance data provided by Public Health England (PHE).We find that the RNN performs best at relevance filtering but can also be slower than other architectures which is important for consideration in real-time application. We also found that the correlation between Twitter and the real-world asthma syndromic surveillance data was positive and improved with the use of the deep- learning-powered relevance filtering. Finally, the deep learning methods enabled us to gather context and word similarity information which we can use to fine tune the vocabulary we employ to extract relevant Tweets in the first place.
2018
Manggala, Meilati Ligardini; Sunkar, Arzyana; Carmenta, Rachel
Local perceptions of oil palm plantation: Case study in Kumai subdistrict, Central Kalimantan Proceedings Article
In: Huyop, Fahrul Zaman Bin; Siswanto, Dian; Mastuti, Retno; Treesubsuntorn, Chairat (Ed.): 9th International Conference on Global Resource Conservation, ICGRC and AJI from Ritsumeikan University, American Institute of Physics Inc., 2018, (Funding Information: This work was supported by BPDPKS (Indonesian Oil Palm Estate Fund Agency). Thanks are also forwarded to GAPKI (Indonesian Palm Oil Associations) and PT. ASMR for the permissions and the facilities provided during the study period. Publisher Copyright: textcopyright 2018 Author(s).; 9th International Conference on Global Resource Conservation and AJI from Ritsumeikan University, ICGRC 2018 ; Conference date: 07-03-2018 Through 08-03-2018).
@inproceedings{6d7494e7574b40c1b1a5f4701f40cb8f,
title = {Local perceptions of oil palm plantation: Case study in Kumai subdistrict, Central Kalimantan},
author = {Meilati Ligardini Manggala and Arzyana Sunkar and Rachel Carmenta},
editor = {Fahrul Zaman Bin Huyop and Dian Siswanto and Retno Mastuti and Chairat Treesubsuntorn},
doi = {10.1063/1.5061876},
year = {2018},
date = {2018-10-10},
booktitle = {9th International Conference on Global Resource Conservation, ICGRC and AJI from Ritsumeikan University},
publisher = {American Institute of Physics Inc.},
series = {AIP Conference Proceedings},
abstract = {Being directly affected by oil palm plantation development, local people's opinions need to be acknowledged as they indicate the future development of the plantation. This study was conducted to analyse the local people's perceptions of oil palm plantations. A five-point Likert scale household survey was conducted in August 2017 in one hamlet and two villages where a new oil palm plantation had just been developed (trees planted in 2013). The statements were read by a surveyor to 97 respondents selected using convenience sampling. The results were analysed using descriptive qualitative analysis. The study found that the local people's perceptions of oil palm plantations had both common and distinct results, based on the location and community characteristics. People in the three study sites showed some common perceptions towards the economic and social impacts of the oil palm plantation, with economic impacts receiving the most positive perceptions. People showed the most positive attitudes towards the plantation's impacts in increasing employment (95.56%) and decreasing urbanisation (95.56%). On the contrary, their perceptions of the plantation's environmental impacts received the lowest positive perceptions. However, unlike the negative accusations towards the plantation's impact on forest and land fires, all respondents agreed that the company did not cause the fires.},
note = {Funding Information: This work was supported by BPDPKS (Indonesian Oil Palm Estate Fund Agency). Thanks are also forwarded to GAPKI (Indonesian Palm Oil Associations) and PT. ASMR for the permissions and the facilities provided during the study period. Publisher Copyright: textcopyright 2018 Author(s).; 9th International Conference on Global Resource Conservation and AJI from Ritsumeikan University, ICGRC 2018 ; Conference date: 07-03-2018 Through 08-03-2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Being directly affected by oil palm plantation development, local people's opinions need to be acknowledged as they indicate the future development of the plantation. This study was conducted to analyse the local people's perceptions of oil palm plantations. A five-point Likert scale household survey was conducted in August 2017 in one hamlet and two villages where a new oil palm plantation had just been developed (trees planted in 2013). The statements were read by a surveyor to 97 respondents selected using convenience sampling. The results were analysed using descriptive qualitative analysis. The study found that the local people's perceptions of oil palm plantations had both common and distinct results, based on the location and community characteristics. People in the three study sites showed some common perceptions towards the economic and social impacts of the oil palm plantation, with economic impacts receiving the most positive perceptions. People showed the most positive attitudes towards the plantation's impacts in increasing employment (95.56%) and decreasing urbanisation (95.56%). On the contrary, their perceptions of the plantation's environmental impacts received the lowest positive perceptions. However, unlike the negative accusations towards the plantation's impact on forest and land fires, all respondents agreed that the company did not cause the fires.
Ikoro, V.; Sharmina, M.; Malik, K.; Batista-Navarro, R.
Analyzing Sentiments Expressed on Twitter by UK Energy Company Consumers Proceedings Article
In: 2018 5th International Conference on Social Networks Analysis, Management and Security, SNAMS 2018, 2018.
@inproceedings{5acee1c4ec3d4a9784d860bc26fec2c2b,
title = {Analyzing Sentiments Expressed on Twitter by UK Energy Company Consumers},
author = {V. Ikoro and M. Sharmina and K. Malik and R. Batista-Navarro},
doi = {10.1109/SNAMS.2018.8554619},
year = {2018},
date = {2018-01-01},
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Ikoro, V.; Sharmina, M.; Malik, K.; Batista-Navarro, R.
Analyzing Sentiments Expressed on Twitter by UK Energy Company Consumers Proceedings Article
In: 2018 5th International Conference on Social Networks Analysis, Management and Security, SNAMS 2018, 2018.
@inproceedings{5acee1c4ec3d4a9784d860bc26fec2c2,
title = {Analyzing Sentiments Expressed on Twitter by UK Energy Company Consumers},
author = {V. Ikoro and M. Sharmina and K. Malik and R. Batista-Navarro},
doi = {10.1109/SNAMS.2018.8554619},
year = {2018},
date = {2018-01-01},
booktitle = {2018 5th International Conference on Social Networks Analysis, Management and Security, SNAMS 2018},
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2017
Mander, Sarah; Anderson, Kevin; Larkin, Alice; Gough, Clair; Vaughan, Naomi
The Role of Bio-energy with Carbon Capture and Storage in Meeting the Climate Mitigation Challenge: A Whole System Perspective Proceedings Article
In: Energy Procedia, pp. 6036, 2017, (13th International Conference on Greenhouse Gas Control Technologies,, GHGT-13 ; Conference date: 14-11-2016 Through 18-11-2016).
@inproceedings{289bc410030c41368e6367d304ae6eed,
title = {The Role of Bio-energy with Carbon Capture and Storage in Meeting the Climate Mitigation Challenge: A Whole System Perspective},
author = {Sarah Mander and Kevin Anderson and Alice Larkin and Clair Gough and Naomi Vaughan},
doi = {10.1016/j.egypro.2017.03.1739},
year = {2017},
date = {2017-01-01},
booktitle = {Energy Procedia},
pages = {6036},
abstract = {This paper explores the role and implications of bio-energy with carbon capture and storage (BECCS) for addressing the climate change mitigation challenge. Framed within the context of the latest emissions budgets, and their associated uncertainty, we present a summary of the contribution of BECCS within the Integrated Assessment Model (IAM) scenarios used by the climate change community. Within this discussion we seek to shed light on two important areas. Firstly, that BECCS is a central, but often hidden element of many of the modelling work that underpins climate policy from the global to the national scale. The second area we address are the assumptions for BECCS embedded within IAM models, and the wider system consequences of these implied levels of deployment. In light of these challenges, we question whether BECCS can deliver what is anticipated of it within existing climate change policy.},
note = {13th International Conference on Greenhouse Gas Control Technologies,, GHGT-13 ; Conference date: 14-11-2016 Through 18-11-2016},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper explores the role and implications of bio-energy with carbon capture and storage (BECCS) for addressing the climate change mitigation challenge. Framed within the context of the latest emissions budgets, and their associated uncertainty, we present a summary of the contribution of BECCS within the Integrated Assessment Model (IAM) scenarios used by the climate change community. Within this discussion we seek to shed light on two important areas. Firstly, that BECCS is a central, but often hidden element of many of the modelling work that underpins climate policy from the global to the national scale. The second area we address are the assumptions for BECCS embedded within IAM models, and the wider system consequences of these implied levels of deployment. In light of these challenges, we question whether BECCS can deliver what is anticipated of it within existing climate change policy.
Gough, Clair; Cunningham, Rebecca; Mander, Sarah
Societal responses to CO2 storage in the UK: media, stakeholder and public perspectives Proceedings Article
In: Energy Procedia, pp. 7310–7316, 2017, (13th International Conference on Greenhouse Gas Control Technologies,, GHGT-13 ; Conference date: 14-11-2016 Through 18-11-2016).
@inproceedings{93b4586d8c164e2e9b7522c08f189fc4b,
title = {Societal responses to CO2 storage in the UK: media, stakeholder and public perspectives},
author = {Clair Gough and Rebecca Cunningham and Sarah Mander},
doi = {10.1016/j.egypro.2017.03.1861},
year = {2017},
date = {2017-01-01},
booktitle = {Energy Procedia},
volume = {114},
pages = {7310–7316},
abstract = {This paper summarises results from empirical research with the broad aim of exploring societal responses to CO2 storage, framed around the concept of social license to operate (SLO). The essential characteristic of SLO is based on a partnership between communities, operators and government and is thus dependent on a variety of factors that contribute to building trust between the stakeholders. Drawing on data from media analysis, stakeholder interviews and focus groups deployed in two locations in the UK, we explore social factors that could influence an emerging SLO for CO2 storage in the UK, drawing lessons from an analogous technology},
note = {13th International Conference on Greenhouse Gas Control Technologies,, GHGT-13 ; Conference date: 14-11-2016 Through 18-11-2016},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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This paper summarises results from empirical research with the broad aim of exploring societal responses to CO2 storage, framed around the concept of social license to operate (SLO). The essential characteristic of SLO is based on a partnership between communities, operators and government and is thus dependent on a variety of factors that contribute to building trust between the stakeholders. Drawing on data from media analysis, stakeholder interviews and focus groups deployed in two locations in the UK, we explore social factors that could influence an emerging SLO for CO2 storage in the UK, drawing lessons from an analogous technology
Gough, Clair; Cunningham, Rebecca; Mander, Sarah
Societal responses to CO2 storage in the UK: media, stakeholder and public perspectives Proceedings Article
In: Energy Procedia, pp. 7310–7316, 2017, (13th International Conference on Greenhouse Gas Control Technologies,, GHGT-13 ; Conference date: 14-11-2016 Through 18-11-2016).
@inproceedings{93b4586d8c164e2e9b7522c08f189fc4,
title = {Societal responses to CO2 storage in the UK: media, stakeholder and public perspectives},
author = {Clair Gough and Rebecca Cunningham and Sarah Mander},
doi = {10.1016/j.egypro.2017.03.1861},
year = {2017},
date = {2017-01-01},
booktitle = {Energy Procedia},
volume = {114},
pages = {7310–7316},
abstract = {This paper summarises results from empirical research with the broad aim of exploring societal responses to CO2 storage, framed around the concept of social license to operate (SLO). The essential characteristic of SLO is based on a partnership between communities, operators and government and is thus dependent on a variety of factors that contribute to building trust between the stakeholders. Drawing on data from media analysis, stakeholder interviews and focus groups deployed in two locations in the UK, we explore social factors that could influence an emerging SLO for CO2 storage in the UK, drawing lessons from an analogous technology},
note = {13th International Conference on Greenhouse Gas Control Technologies,, GHGT-13 ; Conference date: 14-11-2016 Through 18-11-2016},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper summarises results from empirical research with the broad aim of exploring societal responses to CO2 storage, framed around the concept of social license to operate (SLO). The essential characteristic of SLO is based on a partnership between communities, operators and government and is thus dependent on a variety of factors that contribute to building trust between the stakeholders. Drawing on data from media analysis, stakeholder interviews and focus groups deployed in two locations in the UK, we explore social factors that could influence an emerging SLO for CO2 storage in the UK, drawing lessons from an analogous technology
Mander, Sarah; Anderson, Kevin; Larkin, Alice; Gough, Clair; Vaughan, Naomi
The Role of Bio-energy with Carbon Capture and Storage in Meeting the Climate Mitigation Challenge: A Whole System Perspective Proceedings Article
In: Energy Procedia, pp. 6036, 2017, (13th International Conference on Greenhouse Gas Control Technologies,, GHGT-13 ; Conference date: 14-11-2016 Through 18-11-2016).
@inproceedings{289bc410030c41368e6367d304ae6eedb,
title = {The Role of Bio-energy with Carbon Capture and Storage in Meeting the Climate Mitigation Challenge: A Whole System Perspective},
author = {Sarah Mander and Kevin Anderson and Alice Larkin and Clair Gough and Naomi Vaughan},
doi = {10.1016/j.egypro.2017.03.1739},
year = {2017},
date = {2017-01-01},
booktitle = {Energy Procedia},
pages = {6036},
abstract = {This paper explores the role and implications of bio-energy with carbon capture and storage (BECCS) for addressing the climate change mitigation challenge. Framed within the context of the latest emissions budgets, and their associated uncertainty, we present a summary of the contribution of BECCS within the Integrated Assessment Model (IAM) scenarios used by the climate change community. Within this discussion we seek to shed light on two important areas. Firstly, that BECCS is a central, but often hidden element of many of the modelling work that underpins climate policy from the global to the national scale. The second area we address are the assumptions for BECCS embedded within IAM models, and the wider system consequences of these implied levels of deployment. In light of these challenges, we question whether BECCS can deliver what is anticipated of it within existing climate change policy.},
note = {13th International Conference on Greenhouse Gas Control Technologies,, GHGT-13 ; Conference date: 14-11-2016 Through 18-11-2016},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper explores the role and implications of bio-energy with carbon capture and storage (BECCS) for addressing the climate change mitigation challenge. Framed within the context of the latest emissions budgets, and their associated uncertainty, we present a summary of the contribution of BECCS within the Integrated Assessment Model (IAM) scenarios used by the climate change community. Within this discussion we seek to shed light on two important areas. Firstly, that BECCS is a central, but often hidden element of many of the modelling work that underpins climate policy from the global to the national scale. The second area we address are the assumptions for BECCS embedded within IAM models, and the wider system consequences of these implied levels of deployment. In light of these challenges, we question whether BECCS can deliver what is anticipated of it within existing climate change policy.
2016
Welfle, Andrew
Exploring the Sustainable Development Opportunities from Generating Low Carbon Sustainable Energy from Brazilian Waste & Residue Biomass Resources Proceedings Article
In: Mendonça, Marcelo Rodrigues; de Oliveira, Adriano Rodrigues (Ed.): Annals of IV Workshop, pp. 256–262, Gráfica UFG, Brazil, 2016, ISBN: 978-85-495-0087-8.
@inproceedings{66a378bddc6a4cdb8067e4fb3ed098dbb,
title = {Exploring the Sustainable Development Opportunities from Generating Low Carbon Sustainable Energy from Brazilian Waste & Residue Biomass Resources},
author = {Andrew Welfle},
editor = {Marcelo Rodrigues Mendonça and Adriano Rodrigues de Oliveira},
isbn = {978-85-495-0087-8},
year = {2016},
date = {2016-11-18},
booktitle = {Annals of IV Workshop},
volume = {1},
pages = {256–262},
publisher = {Gráfica UFG},
address = {Brazil},
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Welfle, Andrew
Exploring the Sustainable Development Opportunities from Generating Low Carbon Sustainable Energy from Brazilian Waste & Residue Biomass Resources Proceedings Article
In: Mendonça, Marcelo Rodrigues; de Oliveira, Adriano Rodrigues (Ed.): Annals of IV Workshop, pp. 256–262, Gráfica UFG, Brazil, 2016, ISBN: 978-85-495-0087-8.
@inproceedings{66a378bddc6a4cdb8067e4fb3ed098db,
title = {Exploring the Sustainable Development Opportunities from Generating Low Carbon Sustainable Energy from Brazilian Waste & Residue Biomass Resources},
author = {Andrew Welfle},
editor = {Marcelo Rodrigues Mendonça and Adriano Rodrigues de Oliveira},
isbn = {978-85-495-0087-8},
year = {2016},
date = {2016-11-18},
booktitle = {Annals of IV Workshop},
volume = {1},
pages = {256–262},
publisher = {Gráfica UFG},
address = {Brazil},
edition = {1},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Hoolohan, Claire
Designing innovative water demand management interventions Proceedings Article
In: Charlesworth, S (Ed.): Water Frontiers, pp. 87–92, University of Brighton, United Kingdom, 2016, (Water Efficiency Conference 2016 ; Conference date: 07-09-2016 Through 09-09-2016).
@inproceedings{532f3452bc6044bbb91e708fffe02ecfb,
title = {Designing innovative water demand management interventions},
author = {Claire Hoolohan},
editor = {S Charlesworth},
year = {2016},
date = {2016-07-25},
booktitle = {Water Frontiers},
pages = {87–92},
publisher = {University of Brighton},
address = {United Kingdom},
abstract = {This paper reflects on existing social theory and industry collaborations to reconceptualise demand management interventions. The aim is to provide examples that are both practically relevant and theoretically robust to support the development of water demand management that engage with the collective socio-material context of everyday domestic water use. Three alternative conceptualizations of demand management are presented; re-design, re-attune,re-locate. Each is illustrated through the use of ‘imagined initiatives’, those designed in one of two practice innovation workshops held with professionals in the field to develop practical insights from theoretical research. It is anticipated that these ‘imagined initiatives’ will provide fertile ground for ongoing discussion and development of ideas in both research and practice.},
note = {Water Efficiency Conference 2016 ; Conference date: 07-09-2016 Through 09-09-2016},
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pubstate = {published},
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This paper reflects on existing social theory and industry collaborations to reconceptualise demand management interventions. The aim is to provide examples that are both practically relevant and theoretically robust to support the development of water demand management that engage with the collective socio-material context of everyday domestic water use. Three alternative conceptualizations of demand management are presented; re-design, re-attune,re-locate. Each is illustrated through the use of ‘imagined initiatives’, those designed in one of two practice innovation workshops held with professionals in the field to develop practical insights from theoretical research. It is anticipated that these ‘imagined initiatives’ will provide fertile ground for ongoing discussion and development of ideas in both research and practice.
Hoolohan, Claire
Designing innovative water demand management interventions Proceedings Article
In: Charlesworth, S (Ed.): Water Frontiers, pp. 87–92, University of Brighton, United Kingdom, 2016, (Water Efficiency Conference 2016 ; Conference date: 07-09-2016 Through 09-09-2016).
@inproceedings{532f3452bc6044bbb91e708fffe02ecf,
title = {Designing innovative water demand management interventions},
author = {Claire Hoolohan},
editor = {S Charlesworth},
year = {2016},
date = {2016-07-25},
booktitle = {Water Frontiers},
pages = {87–92},
publisher = {University of Brighton},
address = {United Kingdom},
abstract = {This paper reflects on existing social theory and industry collaborations to reconceptualise demand management interventions. The aim is to provide examples that are both practically relevant and theoretically robust to support the development of water demand management that engage with the collective socio-material context of everyday domestic water use. Three alternative conceptualizations of demand management are presented; re-design, re-attune, re-locate. Each is illustrated through the use of ‘imagined initiatives’, those designed in one of two practice innovation workshops held with professionals in the field to develop practical insights from theoretical research. It is anticipated that these ‘imagined initiatives’ will provide fertile ground for ongoing discussion and development of ideas in both research and practice.},
note = {Water Efficiency Conference 2016 ; Conference date: 07-09-2016 Through 09-09-2016},
keywords = {},
pubstate = {published},
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This paper reflects on existing social theory and industry collaborations to reconceptualise demand management interventions. The aim is to provide examples that are both practically relevant and theoretically robust to support the development of water demand management that engage with the collective socio-material context of everyday domestic water use. Three alternative conceptualizations of demand management are presented; re-design, re-attune, re-locate. Each is illustrated through the use of ‘imagined initiatives’, those designed in one of two practice innovation workshops held with professionals in the field to develop practical insights from theoretical research. It is anticipated that these ‘imagined initiatives’ will provide fertile ground for ongoing discussion and development of ideas in both research and practice.
Jenkins, K.; Surminski, S.; Hall, J.; Crick, F.
Surface water flood risk and management strategies for London: An Agent-Based Model approach Proceedings Article
In: E3S Web of Conferences, 2016.
@inproceedings{41f93b28a4ed4c28bd4c7403376204db,
title = {Surface water flood risk and management strategies for London: An Agent-Based Model approach},
author = {K. Jenkins and S. Surminski and J. Hall and F. Crick},
doi = {10.1051/e3sconf/20160722003},
year = {2016},
date = {2016-01-01},
booktitle = {E3S Web of Conferences},
abstract = {Flooding is recognised as one of the most common and costliest natural disasters in England. Flooding in urban areas during heavy rainfall is known as ‘surface water flooding’, considered to be the most likely cause of flood events and one of the greatest short-term climate risks for London. In this paper we present results from a novel Agent-Based Model designed to assess the interplay between different adaptation options, different agents, and the role of flood insurance and the flood insurance pool, Flood Re, in the context of climate change. The model illustrates how investment in adaptation options could reduce London’s surface water flood risk, today and in the future. However, benefits can be outweighed by continued development in high risk areas and the effects of climate change. Flood Re is beneficial in its function to provide affordable insurance, even under climate change. However, it offers no additional benefits in terms of overall risk reduction, and will face increasing pressure due to rising surface water flood risk in the future. The modelling approach and findings are highly relevant for reviewing the proposed Flood Re scheme, as well as for wider discussions on the potential of insurance schemes, and broader multi-sectoral partnerships, to incentivise flood risk management in the UK and internationally.},
keywords = {},
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Flooding is recognised as one of the most common and costliest natural disasters in England. Flooding in urban areas during heavy rainfall is known as ‘surface water flooding’, considered to be the most likely cause of flood events and one of the greatest short-term climate risks for London. In this paper we present results from a novel Agent-Based Model designed to assess the interplay between different adaptation options, different agents, and the role of flood insurance and the flood insurance pool, Flood Re, in the context of climate change. The model illustrates how investment in adaptation options could reduce London’s surface water flood risk, today and in the future. However, benefits can be outweighed by continued development in high risk areas and the effects of climate change. Flood Re is beneficial in its function to provide affordable insurance, even under climate change. However, it offers no additional benefits in terms of overall risk reduction, and will face increasing pressure due to rising surface water flood risk in the future. The modelling approach and findings are highly relevant for reviewing the proposed Flood Re scheme, as well as for wider discussions on the potential of insurance schemes, and broader multi-sectoral partnerships, to incentivise flood risk management in the UK and internationally.
2015
Janda, Kathryn B.; Wilson, Charlie; Moezzi, Mithra; Bartiaux, Francoise
Improving efficiency in buildings: conventional and alternative approaches Proceedings Article
In: Ekins, Paul; Bradshaw, Mike; Watson, Jim (Ed.): Global Energy, pp. 163–188, Oxford University Press, United Kingdom, 2015, ISBN: 978-0-19-871952-6.
@inproceedings{773d312f6e4249b4be5bbacd35049abb,
title = {Improving efficiency in buildings: conventional and alternative approaches},
author = {Kathryn B. Janda and Charlie Wilson and Mithra Moezzi and Francoise Bartiaux},
editor = {Paul Ekins and Mike Bradshaw and Jim Watson},
isbn = {978-0-19-871952-6},
year = {2015},
date = {2015-09-17},
booktitle = {Global Energy},
pages = {163–188},
publisher = {Oxford University Press},
address = {United Kingdom},
keywords = {},
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Anderson, K.; Bows-Larkin, A.
The implications of 2°C carbon budgets for global energy systems Proceedings Article
In: host publication, 2015, (Our common future ; Conference date: 06-07-2015 Through 10-07-2015).
@inproceedings{4d0170fabe494df1b887e7e3ae5c9858,
title = {The implications of 2°C carbon budgets for global energy systems},
author = {K. Anderson and A. Bows-Larkin},
year = {2015},
date = {2015-07-01},
booktitle = {host publication},
abstract = {The IPCC’s fifth assessment reports (AR5) have been widely heralded as delivering unequivocal and stark messages to policy makers. Of particular relevance to this paper is the inclusion, for the first time in the IPCC’s history, of explicit carbon budgets for differing probabilities of meeting a range of twenty-first century temperatures rises, from 1.5°C to 4°C. these carbon budgets provide a clear and quantifiable framework against which to assess technical and socio-economic policies for delivering the requisite rates and timeframes of mitigation.With specific focus on CO2-only emissions from the energy system, this paper will revisit the framing of the mitigation challenge in accordance with the ar5 carbon budget range for a “likely” (66%), “likely as not” (50%) and “not likely” (33%) probability of maintaining the rise in global mean surface temperature below the 2°C characterisation of dangerous climate change. new estimates of the process- carbon emissions from the cement industry, combined with a revised carbon budget estimate for deforestation will be used to determine what CO2-only budget remains for the energy sector.the paper will demonstrate that even assuming an unparalleled agreement at the paris negotiations in December 2015 (COp 21), alongside highly ambitious policies for reducing emissions from cement and deforestation, the energy-only budget of CO2 post-2020 will be radically more challenging than implied in ar5’s post-2011 budgets. For a “likely” chance of 2°C, and assuming global emissions peak in 2020, mitigation of energy-only CO2 would need to rise rapidly to well over 10% p.a. by 2025 and be maintained at that rate until the virtual elimination of CO2 by 2050. the story for a 50:50 chance of 2°C though slightly less dramatic, is nonetheless beyond anything yet countenanced by policy makers and only seldom referred to in the literature.Whilst the implications of such 2°C pathways are interpreted by some as highly regressive, this paper seeks to outline a positive solutions-oriented agenda. the scale of the challenge in the twenty-first century, with globalisation and an increasing population, demands moving beyond the reductionist disciplinary tools of the twentieth century. a systems-oriented and interdisciplinary approach designs infrastructure and develops institutions to offer resilience and facilitate iteration; a radical departure from abstract and theorised optimisation. set within this context of unprecedented rates of mitigation and rapidly shrinking timeframes, it is this intellectually more exciting agenda, that informs the papers quantitative, technical and social- science content.},
note = {Our common future ; Conference date: 06-07-2015 Through 10-07-2015},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The IPCC’s fifth assessment reports (AR5) have been widely heralded as delivering unequivocal and stark messages to policy makers. Of particular relevance to this paper is the inclusion, for the first time in the IPCC’s history, of explicit carbon budgets for differing probabilities of meeting a range of twenty-first century temperatures rises, from 1.5°C to 4°C. these carbon budgets provide a clear and quantifiable framework against which to assess technical and socio-economic policies for delivering the requisite rates and timeframes of mitigation.With specific focus on CO2-only emissions from the energy system, this paper will revisit the framing of the mitigation challenge in accordance with the ar5 carbon budget range for a “likely” (66%), “likely as not” (50%) and “not likely” (33%) probability of maintaining the rise in global mean surface temperature below the 2°C characterisation of dangerous climate change. new estimates of the process- carbon emissions from the cement industry, combined with a revised carbon budget estimate for deforestation will be used to determine what CO2-only budget remains for the energy sector.the paper will demonstrate that even assuming an unparalleled agreement at the paris negotiations in December 2015 (COp 21), alongside highly ambitious policies for reducing emissions from cement and deforestation, the energy-only budget of CO2 post-2020 will be radically more challenging than implied in ar5’s post-2011 budgets. For a “likely” chance of 2°C, and assuming global emissions peak in 2020, mitigation of energy-only CO2 would need to rise rapidly to well over 10% p.a. by 2025 and be maintained at that rate until the virtual elimination of CO2 by 2050. the story for a 50:50 chance of 2°C though slightly less dramatic, is nonetheless beyond anything yet countenanced by policy makers and only seldom referred to in the literature.Whilst the implications of such 2°C pathways are interpreted by some as highly regressive, this paper seeks to outline a positive solutions-oriented agenda. the scale of the challenge in the twenty-first century, with globalisation and an increasing population, demands moving beyond the reductionist disciplinary tools of the twentieth century. a systems-oriented and interdisciplinary approach designs infrastructure and develops institutions to offer resilience and facilitate iteration; a radical departure from abstract and theorised optimisation. set within this context of unprecedented rates of mitigation and rapidly shrinking timeframes, it is this intellectually more exciting agenda, that informs the papers quantitative, technical and social- science content.
Anderson, K.; Bows-Larkin, A.
The implications of 2°C carbon budgets for global energy systems Proceedings Article
In: host publication, 2015, (Our common future ; Conference date: 06-07-2015 Through 10-07-2015).
@inproceedings{4d0170fabe494df1b887e7e3ae5c9858b,
title = {The implications of 2°C carbon budgets for global energy systems},
author = {K. Anderson and A. Bows-Larkin},
year = {2015},
date = {2015-07-01},
booktitle = {host publication},
abstract = {The IPCC’s fifth assessment reports (AR5) have been widely heralded as delivering unequivocal and stark messages to policy makers. Of particular relevance to this paper is the inclusion, for the first time in the IPCC’s history, of explicit carbon budgets for differing probabilities of meeting a range of twenty-first century temperatures rises, from 1.5°C to 4°C. these carbon budgets provide a clear and quantifiable framework against which to assess technical and socio-economic policies for delivering the requisite rates and timeframes of mitigation.With specific focus on CO2-only emissions from the energy system, this paper will revisit the framing of the mitigation challenge in accordance with the ar5 carbon budget range for a “likely” (66%), “likely as not” (50%) and “not likely” (33%) probability of maintaining the rise in global mean surface temperature below the 2°C characterisation of dangerous climate change. new estimates of the process- carbon emissions from the cement industry, combined with a revised carbon budget estimate for deforestation will be used to determine what CO2-only budget remains for the energy sector.the paper will demonstrate that even assuming an unparalleled agreement at the paris negotiations in December 2015 (COp 21), alongside highly ambitious policies for reducing emissions from cement and deforestation, the energy-only budget of CO2 post-2020 will be radically more challenging than implied in ar5’s post-2011 budgets. For a “likely” chance of 2°C, and assuming global emissions peak in 2020, mitigation of energy-only CO2 would need to rise rapidly to well over 10% p.a. by 2025 and be maintained at that rate until the virtual elimination of CO2 by 2050. the story for a 50:50 chance of 2°C though slightly less dramatic, is nonetheless beyond anything yet countenanced by policy makers and only seldom referred to in the literature.Whilst the implications of such 2°C pathways are interpreted by some as highly regressive, this paper seeks to outline a positive solutions-oriented agenda. the scale of the challenge in the twenty-first century, with globalisation and an increasing population, demands moving beyond the reductionist disciplinary tools of the twentieth century. a systems-oriented and interdisciplinary approach designs infrastructure and develops institutions to offer resilience and facilitate iteration; a radical departure from abstract and theorised optimisation. set within this context of unprecedented rates of mitigation and rapidly shrinking timeframes, it is this intellectually more exciting agenda, that informs the papers quantitative, technical and social- science content.},
note = {Our common future ; Conference date: 06-07-2015 Through 10-07-2015},
keywords = {},
pubstate = {published},
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}
The IPCC’s fifth assessment reports (AR5) have been widely heralded as delivering unequivocal and stark messages to policy makers. Of particular relevance to this paper is the inclusion, for the first time in the IPCC’s history, of explicit carbon budgets for differing probabilities of meeting a range of twenty-first century temperatures rises, from 1.5°C to 4°C. these carbon budgets provide a clear and quantifiable framework against which to assess technical and socio-economic policies for delivering the requisite rates and timeframes of mitigation.With specific focus on CO2-only emissions from the energy system, this paper will revisit the framing of the mitigation challenge in accordance with the ar5 carbon budget range for a “likely” (66%), “likely as not” (50%) and “not likely” (33%) probability of maintaining the rise in global mean surface temperature below the 2°C characterisation of dangerous climate change. new estimates of the process- carbon emissions from the cement industry, combined with a revised carbon budget estimate for deforestation will be used to determine what CO2-only budget remains for the energy sector.the paper will demonstrate that even assuming an unparalleled agreement at the paris negotiations in December 2015 (COp 21), alongside highly ambitious policies for reducing emissions from cement and deforestation, the energy-only budget of CO2 post-2020 will be radically more challenging than implied in ar5’s post-2011 budgets. For a “likely” chance of 2°C, and assuming global emissions peak in 2020, mitigation of energy-only CO2 would need to rise rapidly to well over 10% p.a. by 2025 and be maintained at that rate until the virtual elimination of CO2 by 2050. the story for a 50:50 chance of 2°C though slightly less dramatic, is nonetheless beyond anything yet countenanced by policy makers and only seldom referred to in the literature.Whilst the implications of such 2°C pathways are interpreted by some as highly regressive, this paper seeks to outline a positive solutions-oriented agenda. the scale of the challenge in the twenty-first century, with globalisation and an increasing population, demands moving beyond the reductionist disciplinary tools of the twentieth century. a systems-oriented and interdisciplinary approach designs infrastructure and develops institutions to offer resilience and facilitate iteration; a radical departure from abstract and theorised optimisation. set within this context of unprecedented rates of mitigation and rapidly shrinking timeframes, it is this intellectually more exciting agenda, that informs the papers quantitative, technical and social- science content.
Hargreaves, Tom; Hauxwell-Baldwin, Richard; Wilson, Charlie; Coleman, Mike; Kane, Tom; Stankovic, Lina; Stankovic, Vladimir; Murray, David; Liao, Jing; Firth, Steven; Hassan, Tarek
Smart homes, control and energy management: How do smart home technologies influence control over energy use and domestic life? Proceedings Article
In: European Council for an Energy Efficient Economy (ECEEE) 2015 Summer Study Proceedings, pp. 1022–1032, 2015.
@inproceedings{e4949755da7b48a482b1965ade4ea1b3,
title = {Smart homes, control and energy management: How do smart home technologies influence control over energy use and domestic life?},
author = {Tom Hargreaves and Richard Hauxwell-Baldwin and Charlie Wilson and Mike Coleman and Tom Kane and Lina Stankovic and Vladimir Stankovic and David Murray and Jing Liao and Steven Firth and Tarek Hassan},
year = {2015},
date = {2015-06-01},
booktitle = {European Council for an Energy Efficient Economy (ECEEE) 2015 Summer Study Proceedings},
pages = {1022–1032},
abstract = {By introducing new ways of automatically and remotely controlling domestic environments smart technologies have the potential to significantly improve domestic energy management. It is argued that they will simplify users’ lives by allowing them to delegate aspects of decision-making and control - relating to energy management, security, leisure and entertainment etc. - to automated smart home systems. Whilst such technologically-optimistic visions are seductive to many, less research attention has so far been paid to how users interact with and make use of the advanced control functionality that smart homes provide within already complex everyday lives. What literature there is on domestic technology use and control, shows that control is a complex and contested concept. Far from merely controlling appliances, householders are also concerned about a wide range of broader understandings of control relating, for example, to control over security, independence, hectic schedules and even over other household members such as through parenting or care relationships. This paper draws on new quantitative and qualitative data from 4 homes involved in a smart home field trial that have been equipped with smart home systems that provide advanced control functionality over appliances and space heating. Quantitative data examines how householders have used the systems both to try and improve their energy efficiency but also for purposes such as enhanced security or scheduling appliances to align with lifestyles. Qualitative data (from in-depth interviews) explores how smart technologies have impacted upon, and were impacted by, broader understandings of control within the home. The paper concludes by proposing an analytical framework for future research on control in the smart home.},
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By introducing new ways of automatically and remotely controlling domestic environments smart technologies have the potential to significantly improve domestic energy management. It is argued that they will simplify users’ lives by allowing them to delegate aspects of decision-making and control - relating to energy management, security, leisure and entertainment etc. - to automated smart home systems. Whilst such technologically-optimistic visions are seductive to many, less research attention has so far been paid to how users interact with and make use of the advanced control functionality that smart homes provide within already complex everyday lives. What literature there is on domestic technology use and control, shows that control is a complex and contested concept. Far from merely controlling appliances, householders are also concerned about a wide range of broader understandings of control relating, for example, to control over security, independence, hectic schedules and even over other household members such as through parenting or care relationships. This paper draws on new quantitative and qualitative data from 4 homes involved in a smart home field trial that have been equipped with smart home systems that provide advanced control functionality over appliances and space heating. Quantitative data examines how householders have used the systems both to try and improve their energy efficiency but also for purposes such as enhanced security or scheduling appliances to align with lifestyles. Qualitative data (from in-depth interviews) explores how smart technologies have impacted upon, and were impacted by, broader understandings of control within the home. The paper concludes by proposing an analytical framework for future research on control in the smart home.
Wilson, Charlie; Lina, Stankovic; Stankovic, Vladimir; Liao, Jing; Coleman, Michael; Hauxwell-Baldwin, Richard; Kane, Tom; Firth, Steven; Hassan, Tarek
Identifying the time profile of everyday activities in the home using smart meter data Proceedings Article
In: Proceedings of the ECEEE Summer Study on Buildings, pp. 933–945, 2015.
@inproceedings{225b83fcc7bd4dd9ae3bb65c10bf35e4,
title = {Identifying the time profile of everyday activities in the home using smart meter data},
author = {Charlie Wilson and Stankovic Lina and Vladimir Stankovic and Jing Liao and Michael Coleman and Richard Hauxwell-Baldwin and Tom Kane and Steven Firth and Tarek Hassan},
year = {2015},
date = {2015-06-01},
booktitle = {Proceedings of the ECEEE Summer Study on Buildings},
volume = {2},
pages = {933–945},
abstract = {Activities are a descriptive term for the common ways households spend their time. Examples include cooking, doing laundry, or socialising. Smart meter data can be used to generate time profiles of activities that are meaningful to households’ own lived experience. Activities are therefore a lens through which energy feedback to households can be made salient and understandable. This paper demonstrates a multi-step methodology for inferring hourly time profiles of ten household activities using smart meter data, supplemented by individual appliance plug monitors and environmental sensors. First, household interviews, video ethnography, and technology surveys are used to identify appliances and devices in the home, and their roles in specific activities. Second, ‘ontologies’ are developed to map out the relationships between activities and technologies in the home. One or more technologies may indicate the occurrence of certain activities. Third, data from smart meters, plug monitors and sensor data are collected. Smart meter data measuring aggregate electricity use are disaggregated and processed together with the plug monitor and sensor data to identify when and for how long different activities are occurring. Sensor data are particularly useful for activities that are not always associated with an energy-using device. Fourth, the ontologies are applied to the disaggregated data to make inferences on hourly time profiles of ten everyday activities. These include washing, doing laundry, watching TV (reliably inferred), and cleaning, socialising, working (inferred with uncertainties). Fifth, activity time diaries and structured interviews are used to validate both the ontologies and the inferred activity time profiles. Two case study homes are used to illustrate the methodology using data collected as part of a UK trial of smart home technologies. The methodology is demonstrated to produce reliable time profiles of a range of domestic activities that are meaningful to households. The methodology also emphasises the value of integrating coded interview and video ethnography data into both the development of the activity inference process.},
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Activities are a descriptive term for the common ways households spend their time. Examples include cooking, doing laundry, or socialising. Smart meter data can be used to generate time profiles of activities that are meaningful to households’ own lived experience. Activities are therefore a lens through which energy feedback to households can be made salient and understandable. This paper demonstrates a multi-step methodology for inferring hourly time profiles of ten household activities using smart meter data, supplemented by individual appliance plug monitors and environmental sensors. First, household interviews, video ethnography, and technology surveys are used to identify appliances and devices in the home, and their roles in specific activities. Second, ‘ontologies’ are developed to map out the relationships between activities and technologies in the home. One or more technologies may indicate the occurrence of certain activities. Third, data from smart meters, plug monitors and sensor data are collected. Smart meter data measuring aggregate electricity use are disaggregated and processed together with the plug monitor and sensor data to identify when and for how long different activities are occurring. Sensor data are particularly useful for activities that are not always associated with an energy-using device. Fourth, the ontologies are applied to the disaggregated data to make inferences on hourly time profiles of ten everyday activities. These include washing, doing laundry, watching TV (reliably inferred), and cleaning, socialising, working (inferred with uncertainties). Fifth, activity time diaries and structured interviews are used to validate both the ontologies and the inferred activity time profiles. Two case study homes are used to illustrate the methodology using data collected as part of a UK trial of smart home technologies. The methodology is demonstrated to produce reliable time profiles of a range of domestic activities that are meaningful to households. The methodology also emphasises the value of integrating coded interview and video ethnography data into both the development of the activity inference process.
Panteli, M.; Mancarella, P.; Hu, X.; Cotton, I.; Calverley, D.; Wood, R.; Pickering, C.; Wilkinson, S.; Dawson, R.; Anderson, Kevin
Impact of climate change on the resilience of the UK power system Proceedings Article
In: IET Conference Publications, Institution of Engineering and Technology, United Kingdom, 2015, (IET International Conference on Resilience of Transmission and Distribution Networks, RTDN 2015 ; Conference date: 22-09-2015 Through 24-09-2015).
@inproceedings{c39a61026f1f47ce8c506780d95e6e28,
title = {Impact of climate change on the resilience of the UK power system},
author = {M. Panteli and P. Mancarella and X. Hu and I. Cotton and D. Calverley and R. Wood and C. Pickering and S. Wilkinson and R. Dawson and Kevin Anderson},
year = {2015},
date = {2015-01-01},
booktitle = {IET Conference Publications},
volume = {2015},
publisher = {Institution of Engineering and Technology},
address = {United Kingdom},
edition = {CP668},
abstract = {The increasing effects of climate change and extreme weather events on the operation of power systems highlight the need for developing effective techniques and models for evaluating the challenges that power systems may have to deal with in the future for maintaining high levels of resilience. Within this context, the aim of the 'Resilient Electricity Networks for Great Britain (RESNET)' project is to develop and demonstrate a comprehensive approach to analyse the effects of climate-related changes on the resilience of the Great Britain's electricity system, and to develop tools for quantifying the value of adaptation measures that would enhance its resilience. This paper presents an overview of the key research activities and findings of RESNET project, specifically addressing possible climate change implications related to demand and supply scenarios, component ratings, and impact of extreme weather on system reliability. The final aim is to provide insights on various climate-and weatherrelated challenges that the Great Britain's electricity system might face in the future.},
note = {IET International Conference on Resilience of Transmission and Distribution Networks, RTDN 2015 ; Conference date: 22-09-2015 Through 24-09-2015},
keywords = {},
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The increasing effects of climate change and extreme weather events on the operation of power systems highlight the need for developing effective techniques and models for evaluating the challenges that power systems may have to deal with in the future for maintaining high levels of resilience. Within this context, the aim of the 'Resilient Electricity Networks for Great Britain (RESNET)' project is to develop and demonstrate a comprehensive approach to analyse the effects of climate-related changes on the resilience of the Great Britain's electricity system, and to develop tools for quantifying the value of adaptation measures that would enhance its resilience. This paper presents an overview of the key research activities and findings of RESNET project, specifically addressing possible climate change implications related to demand and supply scenarios, component ratings, and impact of extreme weather on system reliability. The final aim is to provide insights on various climate-and weatherrelated challenges that the Great Britain's electricity system might face in the future.
Panteli, M.; Mancarella, P.; Hu, X.; Cotton, I.; Calverley, D.; Wood, R.; Pickering, C.; Wilkinson, S.; Dawson, R.; Anderson, Kevin
Impact of climate change on the resilience of the UK power system Proceedings Article
In: IET Conference Publications, Institution of Engineering and Technology, United Kingdom, 2015, (IET International Conference on Resilience of Transmission and Distribution Networks, RTDN 2015 ; Conference date: 22-09-2015 Through 24-09-2015).
@inproceedings{c39a61026f1f47ce8c506780d95e6e28b,
title = {Impact of climate change on the resilience of the UK power system},
author = {M. Panteli and P. Mancarella and X. Hu and I. Cotton and D. Calverley and R. Wood and C. Pickering and S. Wilkinson and R. Dawson and Kevin Anderson},
year = {2015},
date = {2015-01-01},
booktitle = {IET Conference Publications},
volume = {2015},
publisher = {Institution of Engineering and Technology},
address = {United Kingdom},
edition = {CP668},
abstract = {The increasing effects of climate change and extreme weather events on the operation of power systems highlight the need for developing effective techniques and models for evaluating the challenges that power systems may have to deal with in the future for maintaining high levels of resilience. Within this context, the aim of the 'Resilient Electricity Networks for Great Britain (RESNET)' project is to develop and demonstrate a comprehensive approach to analyse the effects of climate-related changes on the resilience of the Great Britain's electricity system, and to develop tools for quantifying the value of adaptation measures that would enhance its resilience. This paper presents an overview of the key research activities and findings of RESNET project, specifically addressing possible climate change implications related to demand and supply scenarios, component ratings, and impact of extreme weather on system reliability. The final aim is to provide insights on various climate-and weatherrelated challenges that the Great Britain's electricity system might face in the future.},
note = {IET International Conference on Resilience of Transmission and Distribution Networks, RTDN 2015 ; Conference date: 22-09-2015 Through 24-09-2015},
keywords = {},
pubstate = {published},
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}
The increasing effects of climate change and extreme weather events on the operation of power systems highlight the need for developing effective techniques and models for evaluating the challenges that power systems may have to deal with in the future for maintaining high levels of resilience. Within this context, the aim of the 'Resilient Electricity Networks for Great Britain (RESNET)' project is to develop and demonstrate a comprehensive approach to analyse the effects of climate-related changes on the resilience of the Great Britain's electricity system, and to develop tools for quantifying the value of adaptation measures that would enhance its resilience. This paper presents an overview of the key research activities and findings of RESNET project, specifically addressing possible climate change implications related to demand and supply scenarios, component ratings, and impact of extreme weather on system reliability. The final aim is to provide insights on various climate-and weatherrelated challenges that the Great Britain's electricity system might face in the future.
Hallgren, Willow; Beaumont, Linda; Bowness, Andrew; Chambers, Lynda; Graham, Erin; Holewa, Hamish; Laffan, Shawn; Mackey, Brendan; Nix, Henry; Price, Jeff; Vanderwal, Jeremy; Warren, Rachel; Weis, Gerhard
The biodiversity and climate change virtual laboratory: How ecology and big data can be utilised in the fight against vector-borne diseases Proceedings Article
In: Weber, Tony; McPhee, Malcolm; Anderssen, Robert (Ed.): Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015, pp. 1448–1454, Modelling and Simulation Society of Australia and New Zealand Inc., 2015, (Funding Information: Funding for the BCCVL comes from the Australian National eResearch Tools and Resources Project (NeCTAR). A complete list of participating institutions, development team members, and governance and advisory committee members can be found at www.bccvl.org.au. No co-authors have any conflicts of interests to declare. Publisher Copyright: © 2020 Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015. All rights reserved.; 21st International Congress on Modelling and Simulation ; Conference date: 29-11-2015 Through 04-12-2015).
@inproceedings{12a2391b06b4436cb4b0dd8691d8ebe4,
title = {The biodiversity and climate change virtual laboratory: How ecology and big data can be utilised in the fight against vector-borne diseases},
author = {Willow Hallgren and Linda Beaumont and Andrew Bowness and Lynda Chambers and Erin Graham and Hamish Holewa and Shawn Laffan and Brendan Mackey and Henry Nix and Jeff Price and Jeremy Vanderwal and Rachel Warren and Gerhard Weis},
editor = {Tony Weber and Malcolm McPhee and Robert Anderssen},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015},
pages = {1448–1454},
publisher = {Modelling and Simulation Society of Australia and New Zealand Inc.},
series = {Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015},
abstract = {Advances in computing power and infrastructure, increases in the number and size of ecological and environmental datasets, and the number and type of data collection methods, are revolutionizing the field of Ecology. To integrate these advances, virtual laboratories offer a unique tool to facilitate, expedite, and accelerate research into the impacts of climate change on biodiversity. We introduce the uniquely cloud-based Biodiversity and Climate Change Virtual Laboratory (BCCVL), which provides access to numerous species distribution modelling tools; a large and growing collection of biological, climate, and other environmental datasets, as well as a variety of experiment types to conduct research into the impact of climate change on biodiversity. Users can upload and share datasets, potentially increasing collaboration and cross-fertilisation of ideas and innovation among the user community. Feedback confirms that the BCCVL's goals of lowering the technical requirements for species distribution modelling, and reducing time spent on such research, are being met. We present a case study that illustrates the utility of the BCCVL as a research tool that can be applied to the problem of vector borne diseases and the likelihood of climate change altering their future distribution across Australia. This case study presents the preliminary results of an ensemble modelling experiment which employs multiple (15) different species distribution modelling algorithms to model the distribution of one of the main mosquito vectors of the most common vector borne disease in Australia: Ross River Virus (RRV). We use the BCCVL to do future projection of these models with future climates based on two extreme emissions scenarios, for multiple years. Our results show a large range in both the modelled current distribution, and projected future distribution, of the mosquito species studied. Most models (that were built using different algorithms) show somewhat similar current distributions of the species however there are three models that are obvious outliers. The projected models show a similar range in the distribution of the species, with some models indicating a fewer areas (and also areas with a lower probability of occurrence in specific areas) where the species is likely to be found under a climate change scenario. However, a majority of models show an expanded distribution, with some areas that have a greater probability of the occurrence of this species; this will provide a more robust indication of future distribution for policy makers and planners, than if just one or a few models had been employed. The economic and human health impact of vector borne diseases underline the importance of scientifically sound projections of the future spread of common disease vectors such as mosquitos under various climate change scenarios. This is because such information is essential for policy-makers to identify vulnerable communities and to better manage outbreaks and potential epidemics of such diseases. The BCCVL has provided the means to effectively and robustly bracket multiple sources of uncertainty in the future spread of RRV: this study focuses on two of these - the future distribution of a primary mosquito vector of the disease under two extreme scenarios of climate change. Research is underway to expand our analysis to take into account more sources of uncertainty: more vector and amplifying host species, emissions scenarios, and future climate projections from a range of different global climate models.},
note = {Funding Information: Funding for the BCCVL comes from the Australian National eResearch Tools and Resources Project (NeCTAR). A complete list of participating institutions, development team members, and governance and advisory committee members can be found at www.bccvl.org.au. No co-authors have any conflicts of interests to declare. Publisher Copyright: © 2020 Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015. All rights reserved.; 21st International Congress on Modelling and Simulation ; Conference date: 29-11-2015 Through 04-12-2015},
keywords = {},
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}
Advances in computing power and infrastructure, increases in the number and size of ecological and environmental datasets, and the number and type of data collection methods, are revolutionizing the field of Ecology. To integrate these advances, virtual laboratories offer a unique tool to facilitate, expedite, and accelerate research into the impacts of climate change on biodiversity. We introduce the uniquely cloud-based Biodiversity and Climate Change Virtual Laboratory (BCCVL), which provides access to numerous species distribution modelling tools; a large and growing collection of biological, climate, and other environmental datasets, as well as a variety of experiment types to conduct research into the impact of climate change on biodiversity. Users can upload and share datasets, potentially increasing collaboration and cross-fertilisation of ideas and innovation among the user community. Feedback confirms that the BCCVL's goals of lowering the technical requirements for species distribution modelling, and reducing time spent on such research, are being met. We present a case study that illustrates the utility of the BCCVL as a research tool that can be applied to the problem of vector borne diseases and the likelihood of climate change altering their future distribution across Australia. This case study presents the preliminary results of an ensemble modelling experiment which employs multiple (15) different species distribution modelling algorithms to model the distribution of one of the main mosquito vectors of the most common vector borne disease in Australia: Ross River Virus (RRV). We use the BCCVL to do future projection of these models with future climates based on two extreme emissions scenarios, for multiple years. Our results show a large range in both the modelled current distribution, and projected future distribution, of the mosquito species studied. Most models (that were built using different algorithms) show somewhat similar current distributions of the species however there are three models that are obvious outliers. The projected models show a similar range in the distribution of the species, with some models indicating a fewer areas (and also areas with a lower probability of occurrence in specific areas) where the species is likely to be found under a climate change scenario. However, a majority of models show an expanded distribution, with some areas that have a greater probability of the occurrence of this species; this will provide a more robust indication of future distribution for policy makers and planners, than if just one or a few models had been employed. The economic and human health impact of vector borne diseases underline the importance of scientifically sound projections of the future spread of common disease vectors such as mosquitos under various climate change scenarios. This is because such information is essential for policy-makers to identify vulnerable communities and to better manage outbreaks and potential epidemics of such diseases. The BCCVL has provided the means to effectively and robustly bracket multiple sources of uncertainty in the future spread of RRV: this study focuses on two of these - the future distribution of a primary mosquito vector of the disease under two extreme scenarios of climate change. Research is underway to expand our analysis to take into account more sources of uncertainty: more vector and amplifying host species, emissions scenarios, and future climate projections from a range of different global climate models.
Harold, Jordan; Coventry, Kenny; Lorenzoni, Irene; Shipley, Thomas
Making sense of time-series data: How language can help identify long-term trends Proceedings Article
In: Proceedings of the 37th Annual Meeting of the Cognitive Science Society, pp. 872–877, Cognitive Science Society, 2015, ISBN: 9781510809550.
@inproceedings{63e58e9377aa410f9dfcbf79f06a52fb,
title = {Making sense of time-series data: How language can help identify long-term trends},
author = {Jordan Harold and Kenny Coventry and Irene Lorenzoni and Thomas Shipley},
isbn = {9781510809550},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 37th Annual Meeting of the Cognitive Science Society},
pages = {872–877},
publisher = {Cognitive Science Society},
abstract = {Real-world time-series data can show substantial short-term variability as well as underlying long-term trends. Verbal descriptions from a pilot study, in which participants interpreted a real-world line graph about climate change, revealed that trend interpretation might be problematic (Experiment 1). The effect of providing a graph interpretation strategy, via a linguistic warning, on the encoding of longterm trends was then tested using eye tracking (Experiment 2). The linguistic warning was found to direct visual attention to task-relevant information thus enabling more detailed internal representations of the data to be formed. Language may therefore be an effective tool to support users in making appropriate spatial inferences about data.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Real-world time-series data can show substantial short-term variability as well as underlying long-term trends. Verbal descriptions from a pilot study, in which participants interpreted a real-world line graph about climate change, revealed that trend interpretation might be problematic (Experiment 1). The effect of providing a graph interpretation strategy, via a linguistic warning, on the encoding of longterm trends was then tested using eye tracking (Experiment 2). The linguistic warning was found to direct visual attention to task-relevant information thus enabling more detailed internal representations of the data to be formed. Language may therefore be an effective tool to support users in making appropriate spatial inferences about data.
2014
Hoolohan, Claire; Browne, Alison; Smyth, B.; Jenkins, J.
Reframing intervention: What does a collective approach to behaviour change look like? Proceedings Article
In: host publication, University of Brighton, United Kingdom, 2014, (Water Efficiency Conference 2014 ; Conference date: 09-09-2014 Through 11-09-2014).
@inproceedings{2ac09b3e2ddd432e8c27f61107252830b,
title = {Reframing intervention: What does a collective approach to behaviour change look like?},
author = {Claire Hoolohan and Alison Browne and B. Smyth and J. Jenkins},
year = {2014},
date = {2014-09-01},
booktitle = {host publication},
publisher = {University of Brighton},
address = {United Kingdom},
abstract = {This paper draws on a qualitative research into the patterns of domestic water consumption and demand management in the South-east of England. We present an analysis of various paths that could be, and in some cases are being, taken to mobilise collective action in order to achieve sustainable domestic water consumption. Building on a growing body of critique that posits conventional approaches to water efficiency are founded on oversimplified models of consumer behaviour, this paper explores domestic water consumption as a collectively ordered activity and outlines how this understanding can be used to inform water efficiency initiatives in order achieve sustainable domestic water consumption. First, we synthesise a range of social science literatures into four perspectives on demand as a collectively ordered activity, demonstrating the consequences of these various perspectives for the water efficiency agenda (Table 1). Second, drawing on focus group data we evaluate the evidence for each perspective and their potential to inform behaviour change initiatives. We reveal that while evidence for each set of collective drivers can be identified, some offer greater potential for intervention than others, highlighting different sites, scales and subjects to which campaigns might attend. Our discussion focusses on laundry as a specific example of domestic water use to demonstrate how taking an approach informed by this notion of ‘collective’ opens up new opportunities for intervention},
note = {Water Efficiency Conference 2014 ; Conference date: 09-09-2014 Through 11-09-2014},
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pubstate = {published},
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This paper draws on a qualitative research into the patterns of domestic water consumption and demand management in the South-east of England. We present an analysis of various paths that could be, and in some cases are being, taken to mobilise collective action in order to achieve sustainable domestic water consumption. Building on a growing body of critique that posits conventional approaches to water efficiency are founded on oversimplified models of consumer behaviour, this paper explores domestic water consumption as a collectively ordered activity and outlines how this understanding can be used to inform water efficiency initiatives in order achieve sustainable domestic water consumption. First, we synthesise a range of social science literatures into four perspectives on demand as a collectively ordered activity, demonstrating the consequences of these various perspectives for the water efficiency agenda (Table 1). Second, drawing on focus group data we evaluate the evidence for each perspective and their potential to inform behaviour change initiatives. We reveal that while evidence for each set of collective drivers can be identified, some offer greater potential for intervention than others, highlighting different sites, scales and subjects to which campaigns might attend. Our discussion focusses on laundry as a specific example of domestic water use to demonstrate how taking an approach informed by this notion of ‘collective’ opens up new opportunities for intervention
Hoolohan, Claire; Browne, Alison; Smyth, B.; Jenkins, J.
Reframing intervention: What does a collective approach to behaviour change look like? Proceedings Article
In: host publication, University of Brighton, United Kingdom, 2014, (Water Efficiency Conference 2014 ; Conference date: 09-09-2014 Through 11-09-2014).
@inproceedings{2ac09b3e2ddd432e8c27f61107252830,
title = {Reframing intervention: What does a collective approach to behaviour change look like?},
author = {Claire Hoolohan and Alison Browne and B. Smyth and J. Jenkins},
year = {2014},
date = {2014-09-01},
booktitle = {host publication},
publisher = {University of Brighton},
address = {United Kingdom},
abstract = {This paper draws on a qualitative research into the patterns of domestic water consumption and demand management in the South-east of England. We present an analysis of various paths that could be, and in some cases are being, taken to mobilise collective action in order to achieve sustainable domestic water consumption. Building on a growing body of critique that posits conventional approaches to water efficiency are founded on oversimplified models of consumer behaviour, this paper explores domestic water consumption as a collectively ordered activity and outlines how this understanding can be used to inform water efficiency initiatives in order achieve sustainable domestic water consumption. First, we synthesise a range of social science literatures into four perspectives on demand as a collectively ordered activity, demonstrating the consequences of these various perspectives for the water efficiency agenda (Table 1). Second, drawing on focus group data we evaluate the evidence for each perspective and their potential to inform behaviour change initiatives. We reveal that while evidence for each set of collective drivers can be identified, some offer greater potential for intervention than others, highlighting different sites, scales and subjects to which campaigns might attend. Our discussion focusses on laundry as a specific example of domestic water use to demonstrate how taking an approach informed by this notion of ‘collective’ opens up new opportunities for intervention},
note = {Water Efficiency Conference 2014 ; Conference date: 09-09-2014 Through 11-09-2014},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper draws on a qualitative research into the patterns of domestic water consumption and demand management in the South-east of England. We present an analysis of various paths that could be, and in some cases are being, taken to mobilise collective action in order to achieve sustainable domestic water consumption. Building on a growing body of critique that posits conventional approaches to water efficiency are founded on oversimplified models of consumer behaviour, this paper explores domestic water consumption as a collectively ordered activity and outlines how this understanding can be used to inform water efficiency initiatives in order achieve sustainable domestic water consumption. First, we synthesise a range of social science literatures into four perspectives on demand as a collectively ordered activity, demonstrating the consequences of these various perspectives for the water efficiency agenda (Table 1). Second, drawing on focus group data we evaluate the evidence for each perspective and their potential to inform behaviour change initiatives. We reveal that while evidence for each set of collective drivers can be identified, some offer greater potential for intervention than others, highlighting different sites, scales and subjects to which campaigns might attend. Our discussion focusses on laundry as a specific example of domestic water use to demonstrate how taking an approach informed by this notion of ‘collective’ opens up new opportunities for intervention
Chrysochoidis, Georgios; Wilson, Charlie
Reducing the UK’s Carbon Footprint: Household Renovation Decisions and the results of a UK-Wide Survey Proceedings Article
In: Academy of Marketing 2014, 2014.
@inproceedings{a067f6b9fe034944923452418cdfd86c,
title = {Reducing the UK’s Carbon Footprint: Household Renovation Decisions and the results of a UK-Wide Survey},
author = {Georgios Chrysochoidis and Charlie Wilson},
year = {2014},
date = {2014-07-10},
booktitle = {Academy of Marketing 2014},
abstract = {Reducing old-housing-stock gas emissions is of importance given their major contribution to global warming. For instance, old housing stock generates >40% of the UK’s total gas emissions. Homeowner decisions to reduce energy consumption through home renovations are thus at the heart of success for such sustainability. In this paper we examine the drivers that lead to UK homeowners moving through their home renovation process. Conceptualising renovation decision making, not as a static one off event but as a series of distinctive stages we examine this process as a more dynamic and detailed mechanism which underlies efficiency renovations. We also draw from 2 separate theoretical strands and show what specific drivers are at play at each stage of the renovation decision making process. In doing so, we contrast estimates for energy (and mixed) efficient renovations with estimates for non-energy efficient renovations (i.e., amenity renovations). Last, but not least we also provide an indication of the influence of external triggers. We contrast the estimates from internal home renovation decisions induced singularly from within the household to renovation decisions initiated from both internal and external events.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Reducing old-housing-stock gas emissions is of importance given their major contribution to global warming. For instance, old housing stock generates >40% of the UK’s total gas emissions. Homeowner decisions to reduce energy consumption through home renovations are thus at the heart of success for such sustainability. In this paper we examine the drivers that lead to UK homeowners moving through their home renovation process. Conceptualising renovation decision making, not as a static one off event but as a series of distinctive stages we examine this process as a more dynamic and detailed mechanism which underlies efficiency renovations. We also draw from 2 separate theoretical strands and show what specific drivers are at play at each stage of the renovation decision making process. In doing so, we contrast estimates for energy (and mixed) efficient renovations with estimates for non-energy efficient renovations (i.e., amenity renovations). Last, but not least we also provide an indication of the influence of external triggers. We contrast the estimates from internal home renovation decisions induced singularly from within the household to renovation decisions initiated from both internal and external events.