Tyndall Centre Inproceedings
2026
Cataldo, Nicolas Enrique Labra; Shaver, Michael; Stamford, Laurence; Spencer-Smith, Craig; Waite, David; Schmid, Alejandro Gallego
Expanding the scope: evaluation of high-priority circular strategies for the treatment of conveyor belts Proceedings Article
In: ScienceDirect, pp. 1129–1134, Procedia CIRP, United Kingdom, 2026, (33rd CIRP Conference on Life Cycle Engineering : LCE 2026 ; Conference date: 11-03-2026 Through 13-03-2026).
@inproceedings{f17b404efa6e488bafa2bd57b205f9e6,
title = {Expanding the scope: evaluation of high-priority circular strategies for the treatment of conveyor belts},
author = {Nicolas Enrique Labra Cataldo and Michael Shaver and Laurence Stamford and Craig Spencer-Smith and David Waite and Alejandro Gallego Schmid},
url = {https://cirp-lce2026.jspe.or.jp/},
doi = {10.1016/j.procir.2026.05.190},
year = {2026},
date = {2026-05-30},
booktitle = {ScienceDirect},
volume = {140},
pages = {1129–1134},
publisher = {Procedia CIRP},
address = {United Kingdom},
abstract = {Conveyor belts are widely used industrial composites whose end of life management remains environmentally and technically challenging, particularly because they contain poly(vinyl chloride), poly(ethylene terephthalate) and various additives. This study evaluates repairing, repurposing and two recycling routes and compares them with landfilling and incineration through mechanical testing and an attributional gate to grave life cycle assessment. Tensile and puncture tests show that conveyor belts outperform livestock mats by factors of 22.4 in tensile strength and 8.7 in puncture resistance, confirming their suitability for repurposing. The life cycle results indicate that no single option achieves the lowest impacts across all categories, but repurposing and improved recycling often present lower impacts than landfilling and incineration. For instance, repurposing followed by landfilling results in a global warming potential of minus 10.2 kilograms of carbon dioxide equivalent per functional unit, while incineration reaches 1.5 kilograms of carbon dioxide equivalent. A consistent finding across all scenarios is the identification of the PET fraction as the dominant environmental hotspot. PET treatment drives climate change, particulate formation, toxicity and eutrophication impacts through emissions during incineration, degradation in landfills and electricity demand in recycling operations. The study also highlights limitations related to the lack of data on leaching, microplastic release and general end of life behavior of repurposed belts during use. Overall, the results demonstrate the mechanical viability and environmental promise of circular strategies that keep belts in use for longer, while emphasizing the need for further research to ensure their safe and scalable implementation.},
note = {33rd CIRP Conference on Life Cycle Engineering : LCE 2026 ; Conference date: 11-03-2026 Through 13-03-2026},
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Conveyor belts are widely used industrial composites whose end of life management remains environmentally and technically challenging, particularly because they contain poly(vinyl chloride), poly(ethylene terephthalate) and various additives. This study evaluates repairing, repurposing and two recycling routes and compares them with landfilling and incineration through mechanical testing and an attributional gate to grave life cycle assessment. Tensile and puncture tests show that conveyor belts outperform livestock mats by factors of 22.4 in tensile strength and 8.7 in puncture resistance, confirming their suitability for repurposing. The life cycle results indicate that no single option achieves the lowest impacts across all categories, but repurposing and improved recycling often present lower impacts than landfilling and incineration. For instance, repurposing followed by landfilling results in a global warming potential of minus 10.2 kilograms of carbon dioxide equivalent per functional unit, while incineration reaches 1.5 kilograms of carbon dioxide equivalent. A consistent finding across all scenarios is the identification of the PET fraction as the dominant environmental hotspot. PET treatment drives climate change, particulate formation, toxicity and eutrophication impacts through emissions during incineration, degradation in landfills and electricity demand in recycling operations. The study also highlights limitations related to the lack of data on leaching, microplastic release and general end of life behavior of repurposed belts during use. Overall, the results demonstrate the mechanical viability and environmental promise of circular strategies that keep belts in use for longer, while emphasizing the need for further research to ensure their safe and scalable implementation.
Li, Jingyi; Brookfield, Adam; Fleming, Elizabeth; Picken, Christina; Collison, David; Mcinnes, Eric; Schmid, Alejandro Gallego
Embedding Life Cycle Thinking in a National Research Facility: Environmental Sustainability Analysis of Electron Paramagnetic Resonance Infrastructure Proceedings Article
In: Procedia CIRP, pp. 743–748, 2026.
@inproceedings{1d5e1ae1a26d440c9674fe421a0e82bd,
title = {Embedding Life Cycle Thinking in a National Research Facility: Environmental Sustainability Analysis of Electron Paramagnetic Resonance Infrastructure},
author = {Jingyi Li and Adam Brookfield and Elizabeth Fleming and Christina Picken and David Collison and Eric Mcinnes and Alejandro Gallego Schmid},
year = {2026},
date = {2026-01-01},
booktitle = {Procedia CIRP},
pages = {743–748},
abstract = {Electron Paramagnetic Resonance (EPR) spectroscopy is a cornerstone analytical technique in the physical and life sciences. The UK’s EPSRCfunded National Research Facility for EPR Spectroscopy (EPR NRF) at The University of Manchester supports national academic and industrial users, yet the environmental sustainability of such high-throughput, energy-intensive research infrastructures remains largely unassessed. This study includes a first-of-it-kind cradle-to-grave life cycle assessment (LCA), using the eighteen environmental impact indicators from ReCiPe 2016, to quantify the environmental impacts of NRF operations. Inventory data covers material and energy consumption, cryogen use, waste generation, and travel by staff. Results show that impacts are dominated by the operational phase, with higher-frequency spectrometer platforms driving substantially greater electricity demand and material-intensive components, such as magnet power supplies, identified as key hotspots. Embedding life cycle thinking within facility management demonstrates how sustainability principles can align technical performance with environmental responsibility. The approach provides a replicable model for other large-scale laboratories, contributing to the decarbonisation and circularisation of research infrastructures through collaboration with instrument manufacturers and the wider EPR community. To further enhance sustainability performance, potentially three circularity-oriented interventions are going to be implemented as the project develops: retrofitting obsolete cryogenic systems to extend service life and reduce embodied emissions, enabling remote monitoring and automation to minimise travel and equipment standby losses, and adopting robotic sample handling to enhance experimental throughput and resource efficiency.},
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Electron Paramagnetic Resonance (EPR) spectroscopy is a cornerstone analytical technique in the physical and life sciences. The UK’s EPSRCfunded National Research Facility for EPR Spectroscopy (EPR NRF) at The University of Manchester supports national academic and industrial users, yet the environmental sustainability of such high-throughput, energy-intensive research infrastructures remains largely unassessed. This study includes a first-of-it-kind cradle-to-grave life cycle assessment (LCA), using the eighteen environmental impact indicators from ReCiPe 2016, to quantify the environmental impacts of NRF operations. Inventory data covers material and energy consumption, cryogen use, waste generation, and travel by staff. Results show that impacts are dominated by the operational phase, with higher-frequency spectrometer platforms driving substantially greater electricity demand and material-intensive components, such as magnet power supplies, identified as key hotspots. Embedding life cycle thinking within facility management demonstrates how sustainability principles can align technical performance with environmental responsibility. The approach provides a replicable model for other large-scale laboratories, contributing to the decarbonisation and circularisation of research infrastructures through collaboration with instrument manufacturers and the wider EPR community. To further enhance sustainability performance, potentially three circularity-oriented interventions are going to be implemented as the project develops: retrofitting obsolete cryogenic systems to extend service life and reduce embodied emissions, enabling remote monitoring and automation to minimise travel and equipment standby losses, and adopting robotic sample handling to enhance experimental throughput and resource efficiency.
Li, Jingyi; Egan-Morriss, Christopher; Harvey, Patrick; Lloyd, Jonathan; Schmid, Alejandro Gallego
Rethinking Platinum Group Metals (PGMs) Recovery Pathways: A Comparative Life Cycle Assessment Proceedings Article
In: Procedia CIRP, pp. 737–742, 2026.
@inproceedings{56629834011a421798dcc0ced94df1bc,
title = {Rethinking Platinum Group Metals (PGMs) Recovery Pathways: A Comparative Life Cycle Assessment},
author = {Jingyi Li and Christopher Egan-Morriss and Patrick Harvey and Jonathan Lloyd and Alejandro Gallego Schmid},
year = {2026},
date = {2026-01-01},
booktitle = {Procedia CIRP},
pages = {737–742},
abstract = {Platinum group metals (PGMs), including platinum, palladium, rhodium, ruthenium, and iridium, are critical for catalytic, electronic, and clean energy applications. However, mining is highly resource- and carbon-intensive, with supply concentrated in South Africa and Russia. Secondary recovery through chemical recycling of end-of-life products can reduce global warming potential by up to 98% compared with mining, but still relies on intensive chemical use. An emerging alternative is biological recovery using the metal-reducing bacterium Shewanella oneidensis (S.oneidensis) which converts soluble PGMs into catalytically active nanoparticles, offering a potentially selective and low-energy route for recovery from complex effluents. This study presents a cradle-to-gate life cycle assessment using ReCiPe 2016 to compare three PGM production routes: (1) primary production via conventional mining, (2) secondary recovery through chemical refining of industrial waste streams, and (3) an innovative biological pathway using S.oneidensis for PGM biorecovery and nanoparticle biosynthesis from low-concentration industrial waste effluent. At current laboratory-derived parameters, industrial-scale biorecovery performs worse than mining in 17 of 18 impact categories, exceeding chemical recycling in all cases, though it avoids ore depletion and thus reduces mineral resource scarcity. Sensitivity analysis shows that increasing initial biomass concentration reduces impacts by at least 70% at a five-fold increase. The findings underline that the unfavourable results stem from the very early stage of development and small-scale experimental data. With optimisation of media composition, improved recovery yields, and effluent recycling, biorecovery could progress into a viable complementary route within future circular economy strategies.},
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Platinum group metals (PGMs), including platinum, palladium, rhodium, ruthenium, and iridium, are critical for catalytic, electronic, and clean energy applications. However, mining is highly resource- and carbon-intensive, with supply concentrated in South Africa and Russia. Secondary recovery through chemical recycling of end-of-life products can reduce global warming potential by up to 98% compared with mining, but still relies on intensive chemical use. An emerging alternative is biological recovery using the metal-reducing bacterium Shewanella oneidensis (S.oneidensis) which converts soluble PGMs into catalytically active nanoparticles, offering a potentially selective and low-energy route for recovery from complex effluents. This study presents a cradle-to-gate life cycle assessment using ReCiPe 2016 to compare three PGM production routes: (1) primary production via conventional mining, (2) secondary recovery through chemical refining of industrial waste streams, and (3) an innovative biological pathway using S.oneidensis for PGM biorecovery and nanoparticle biosynthesis from low-concentration industrial waste effluent. At current laboratory-derived parameters, industrial-scale biorecovery performs worse than mining in 17 of 18 impact categories, exceeding chemical recycling in all cases, though it avoids ore depletion and thus reduces mineral resource scarcity. Sensitivity analysis shows that increasing initial biomass concentration reduces impacts by at least 70% at a five-fold increase. The findings underline that the unfavourable results stem from the very early stage of development and small-scale experimental data. With optimisation of media composition, improved recovery yields, and effluent recycling, biorecovery could progress into a viable complementary route within future circular economy strategies.
2025
Li, Wenzhu; Cunningham, Lee; Osman, Ashraf; Sun, Hongjian
Enhancing Grid Flood Resilience with CFD Fragility Modelling and Risk-Constrained DRL Proceedings Article
In: 2025 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pp. 1–6, IEEE, United States, 2025, (2025 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) ; Conference date: 29-09-2025 Through 02-10-2025).
@inproceedings{7cdd4696834748c4bba233a6ace1355d,
title = {Enhancing Grid Flood Resilience with CFD Fragility Modelling and Risk-Constrained DRL},
author = {Wenzhu Li and Lee Cunningham and Ashraf Osman and Hongjian Sun},
url = {https://ieeexplore.ieee.org/xpl/conhome/11204555/proceeding},
doi = {10.1109/SmartGridComm65349.2025.11204561},
year = {2025},
date = {2025-10-21},
booktitle = {2025 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)},
pages = {1–6},
publisher = {IEEE},
address = {United States},
abstract = {Flood-induced failures in power distribution networks compromise grid resilience, while existing resilient control strategies often rely on static risk models and lack integration with physical flood dynamics. This paper presents a hybrid framework that combines Computational Fluid Dynamics (CFD) with Deep Reinforcement Learning (DRL) to enable dynamic risk-aware control under evolving flood conditions. High-resolution flood scenarios are simulated using ANSYS Fluent, where stochastic hydrodynamic parameters are sampled from calibrated Weibull distributions. These parameters are embedded into a Maskable Proximal Policy Optimisation (PPO) agent trained with Conditional Value-at Risk (CVaR) constraints, enabling the learning of risk constrained control policies without requiring real-time CFD computations. This architecture preserves physical fidelity while ensuring dynamic feasibility. When evaluated on the extended IEEE 123-bus feeder, the proposed CFD–DRL controller achieves a 49% reduction in energy not supplied (ENS) and improves CVaR compliance from 85% to 98%, compared to the conventional MPC baseline. The results demonstrate that integrating high-fidelity numerical modelling with scalable learning-based control significantly enhances the adaptability and robustness of flood-resilient grid operations.},
note = {2025 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) ; Conference date: 29-09-2025 Through 02-10-2025},
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Flood-induced failures in power distribution networks compromise grid resilience, while existing resilient control strategies often rely on static risk models and lack integration with physical flood dynamics. This paper presents a hybrid framework that combines Computational Fluid Dynamics (CFD) with Deep Reinforcement Learning (DRL) to enable dynamic risk-aware control under evolving flood conditions. High-resolution flood scenarios are simulated using ANSYS Fluent, where stochastic hydrodynamic parameters are sampled from calibrated Weibull distributions. These parameters are embedded into a Maskable Proximal Policy Optimisation (PPO) agent trained with Conditional Value-at Risk (CVaR) constraints, enabling the learning of risk constrained control policies without requiring real-time CFD computations. This architecture preserves physical fidelity while ensuring dynamic feasibility. When evaluated on the extended IEEE 123-bus feeder, the proposed CFD–DRL controller achieves a 49% reduction in energy not supplied (ENS) and improves CVaR compliance from 85% to 98%, compared to the conventional MPC baseline. The results demonstrate that integrating high-fidelity numerical modelling with scalable learning-based control significantly enhances the adaptability and robustness of flood-resilient grid operations.
Nair, Manu H.; Mackintosh, John C.; Waller, Laurie; Thomas, Carys; Crisp, Nicholas H.; Smith, Kate; Gallego-Schmid, Alejandro; Thomas, Craig; Iwanoczko, Andrew; Tabone, Joey; Bellamy, Rob; McGrath, Ciara N.
Towards an Environmentally Sustainable Space Future: An Interdisciplinary Approach to Assess Terrestrial and Orbital Interdependencies Proceedings Article
In: AIAA Aviation Forum and ASCEND 2025, pp. 1–18, AIAA International, United States, 2025, (AIAA ASCEND ; Conference date: 22-07-2025 Through 24-07-2025).
@inproceedings{4b4825c55bfb417e9a8a41a7f2d2024c,
title = {Towards an Environmentally Sustainable Space Future: An Interdisciplinary Approach to Assess Terrestrial and Orbital Interdependencies},
author = {Manu H. Nair and John C. Mackintosh and Laurie Waller and Carys Thomas and Nicholas H. Crisp and Kate Smith and Alejandro Gallego-Schmid and Craig Thomas and Andrew Iwanoczko and Joey Tabone and Rob Bellamy and Ciara N. McGrath},
doi = {10.2514/6.2025-4009},
year = {2025},
date = {2025-07-16},
booktitle = {AIAA Aviation Forum and ASCEND 2025},
pages = {1–18},
publisher = {AIAA International},
address = {United States},
abstract = {As space activities accelerate, concerns over their environmental impacts—both on Earth and in orbit—have grown significantly. This paper presents an interdisciplinary, modular life-cycle assessment framework designed to evaluate the sustainability of space missions during their Design & Manufacturing and Launch & Propulsion phases. The model integrates both qualitative and quantitative metrics to assess emissions and energy consumption associated with office operations, travel, material extraction, component processing, launch vehicle transportation, and propellant use. To demonstrate feasibility, the framework is applied to a case study of an Active Debris Removal mission. The use case explores real-world parameters related to spacecraft mass, material composition, launch logistics, and operational infrastructure. The analysis highlights the often-overlooked terrestrial environmental impacts associated with ostensibly sustainability-focused missions. The proposed framework introduces a sustainability metric to complement traditional Technology Readiness Level assessments, offering a means to integrate environmental considerations into early mission planning. Its modular structure enables adaptation across a variety of mission types, including In-Orbit Servicing, Assembly, and Manufacturing, and In-Situ Resource Utilization. By providing a structured and adaptable tool, this work supports informed decision-making and helps embed environmental accountability into future space systems design and governance.},
note = {AIAA ASCEND ; Conference date: 22-07-2025 Through 24-07-2025},
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As space activities accelerate, concerns over their environmental impacts—both on Earth and in orbit—have grown significantly. This paper presents an interdisciplinary, modular life-cycle assessment framework designed to evaluate the sustainability of space missions during their Design & Manufacturing and Launch & Propulsion phases. The model integrates both qualitative and quantitative metrics to assess emissions and energy consumption associated with office operations, travel, material extraction, component processing, launch vehicle transportation, and propellant use. To demonstrate feasibility, the framework is applied to a case study of an Active Debris Removal mission. The use case explores real-world parameters related to spacecraft mass, material composition, launch logistics, and operational infrastructure. The analysis highlights the often-overlooked terrestrial environmental impacts associated with ostensibly sustainability-focused missions. The proposed framework introduces a sustainability metric to complement traditional Technology Readiness Level assessments, offering a means to integrate environmental considerations into early mission planning. Its modular structure enables adaptation across a variety of mission types, including In-Orbit Servicing, Assembly, and Manufacturing, and In-Situ Resource Utilization. By providing a structured and adaptable tool, this work supports informed decision-making and helps embed environmental accountability into future space systems design and governance.
Jenkins, Katie; Nicholls, Robert; Sayers, Paul; Redhead, John; Price, Jeff; He, Yi; Minns, Asher; Pywell, Richard
An innovative multi-hazard climate change risk assessment framework: Evidence from a place-based assessment of challenges and solutions in the UK Fens Proceedings Article
In: EGU General Assembly 2025, 2025.
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title = {An innovative multi-hazard climate change risk assessment framework: Evidence from a place-based assessment of challenges and solutions in the UK Fens},
author = {Katie Jenkins and Robert Nicholls and Paul Sayers and John Redhead and Jeff Price and Yi He and Asher Minns and Richard Pywell},
doi = {10.5194/egusphere-egu25-18584},
year = {2025},
date = {2025-03-15},
booktitle = {EGU General Assembly 2025},
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2024
ElAgouz, Noura
Integrating Life Cycle Sustainability Assessment and Multi-Criteria Decision-Making for Sustainable Transit Bus Fleet Optimization. Proceedings Article
In: Proceedings of the 7th European Conference on Industrial Engineering and Operations Management, pp. 1028–1040, IEOM Forum, United States, 2024.
@inproceedings{8ab2bedcf2464dbca385c6c704ad6439,
title = {Integrating Life Cycle Sustainability Assessment and Multi-Criteria Decision-Making for Sustainable Transit Bus Fleet Optimization.},
author = {Noura ElAgouz},
year = {2024},
date = {2024-07-16},
booktitle = {Proceedings of the 7th European Conference on Industrial Engineering and Operations Management},
pages = {1028–1040},
publisher = {IEOM Forum},
address = {United States},
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of Sciences, Engineering National Academies; Medicine,; Earth, Division; Studies, Life; Sciences, Board Atmospheric; Climate,; Agriculture, Board; Resources, Natural; Board, Polar Research; on Greenhouse Gas Emissions from Wildland Fires: Toward Improved Monitoring, Modeling Committee; Workshop, Management—A; Silvern, Rachel; Jones, Matthew
Approaches for Understanding Regional Fires Proceedings Article
In: Greenhouse Gas Emissions from Wildland Fires: Toward Improved Monitoring, Modeling, and Management, pp. 30–30, National Academies Press, 2024, ISBN: 978-0-309-71553-9.
@inproceedings{7b1f83c58ed84b5aa003ec1f77b6c02b,
title = {Approaches for Understanding Regional Fires},
author = {Engineering National Academies of Sciences and Medicine and Division Earth and Life Studies and Board Atmospheric Sciences and Climate and Board Agriculture and Natural Resources and Polar Research Board and Modeling Committee on Greenhouse Gas Emissions from Wildland Fires: Toward Improved Monitoring and Management—A Workshop and Rachel Silvern and Matthew Jones},
doi = {10.17226/27473},
isbn = {978-0-309-71553-9},
year = {2024},
date = {2024-04-30},
booktitle = {Greenhouse Gas Emissions from Wildland Fires: Toward Improved Monitoring, Modeling, and Management},
pages = {30–30},
publisher = {National Academies Press},
keywords = {},
pubstate = {published},
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ElAgouz, Noura
Evaluating Life-Cycle Environmental and Economic Impacts of Alternative Fuel Buses Proceedings Article
In: Proceedings of the 14th International Conference on Industrial Engineering and Operations Management (IEOM 2024), IEOM Forum, United States, 2024.
@inproceedings{382028f4d5a54b42b66c9ff19febaa06,
title = {Evaluating Life-Cycle Environmental and Economic Impacts of Alternative Fuel Buses},
author = {Noura ElAgouz},
year = {2024},
date = {2024-02-12},
booktitle = {Proceedings of the 14th International Conference on Industrial Engineering and Operations Management (IEOM 2024)},
publisher = {IEOM Forum},
address = {United States},
keywords = {},
pubstate = {published},
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2023
Capper, Timothy; Kuriakose, Jaise; Sharmina, Maria
Economic viability of domestic battery storage participation in British flexibilty markets Proceedings Article
In: 19th International Conference on AC and DC Power Transmission (ACDC 2023), pp. 281–285, Institution of Engineering and Technology, United Kingdom, 2023, (Publisher Copyright: © 2023 IET Conference Proceedings. All rights reserved.; 19th International Conference on AC and DC Power Transmission, ACDC 2023 ; Conference date: 01-03-2023 Through 03-03-2023).
@inproceedings{edaba5bbc20a464eacea79f5e6ff16ba,
title = {Economic viability of domestic battery storage participation in British flexibilty markets},
author = {Timothy Capper and Jaise Kuriakose and Maria Sharmina},
doi = {10.1049/icp.2023.1341},
year = {2023},
date = {2023-03-20},
booktitle = {19th International Conference on AC and DC Power Transmission (ACDC 2023)},
number = {1},
pages = {281–285},
publisher = {Institution of Engineering and Technology},
address = {United Kingdom},
series = {IET Conference Proceedings},
abstract = {Curbing emissions to avoid the worst impacts of climate change is likely to lead to a significant increase in electricity demand due to the electrification of heating and transportation, and a decrease in the balancing reserve due to a decrease in the number of gas turbines. To alleviate the significant network investment costs and the fall in balancing resources, both distribution network operators and the system operator in Great Britain have created markets for behind-the-meter flexibility. For domestic battery storage to play a meaningful role in flexibility markets, it must be beneficial to the households who choose to finance and install it. In this paper we examine the value of domestic battery storage systems, both with and without associated PV installations. We show quantitatively, for the first time, that domestic battery storage is a financially worthwhile investment for households, and that participating in network operator and system operator flexibility markets can be lucrative. Finally, we show that domestic PV installations have a negative value when accounting for the capital investment. However, if a household wanted to install PV for non-financial reasons, investing in a battery alongside the PV gives the installed system a positive value.},
note = {Publisher Copyright: © 2023 IET Conference Proceedings. All rights reserved.; 19th International Conference on AC and DC Power Transmission, ACDC 2023 ; Conference date: 01-03-2023 Through 03-03-2023},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Curbing emissions to avoid the worst impacts of climate change is likely to lead to a significant increase in electricity demand due to the electrification of heating and transportation, and a decrease in the balancing reserve due to a decrease in the number of gas turbines. To alleviate the significant network investment costs and the fall in balancing resources, both distribution network operators and the system operator in Great Britain have created markets for behind-the-meter flexibility. For domestic battery storage to play a meaningful role in flexibility markets, it must be beneficial to the households who choose to finance and install it. In this paper we examine the value of domestic battery storage systems, both with and without associated PV installations. We show quantitatively, for the first time, that domestic battery storage is a financially worthwhile investment for households, and that participating in network operator and system operator flexibility markets can be lucrative. Finally, we show that domestic PV installations have a negative value when accounting for the capital investment. However, if a household wanted to install PV for non-financial reasons, investing in a battery alongside the PV gives the installed system a positive value.
Capper, Timothy; Kuriakose, Jaise; Sharmina, Maria
Economic viability of domestic battery storage participation in British flexibility markets Proceedings Article
In: 19th International Conference on AC and DC Power Transmission (ACDC 2023), Institution of Engineering and Technology, United Kingdom, 2023.
@inproceedings{fec9eeec3d4c4f5e8eb60873f50f0995,
title = {Economic viability of domestic battery storage participation in British flexibility markets},
author = {Timothy Capper and Jaise Kuriakose and Maria Sharmina},
year = {2023},
date = {2023-03-01},
booktitle = {19th International Conference on AC and DC Power Transmission (ACDC 2023)},
publisher = {Institution of Engineering and Technology},
address = {United Kingdom},
abstract = {Curbing emissions to avoid the worst impacts of climate change is likely to lead to a significant increase in electricity demand due to the electrification of heating and transportation, and a decrease in the balancing reserve due to a decrease in the number of gas turbines. To alleviate the significant network investment costs and the fall in balancing resources, both distribution network operators and the system operator in Great Britain have created markets for behind-the-meter flexibility. For domestic battery storage to play a meaningful role in flexibility markets, it must be beneficial to the households who choose to finance and install it. In this paper we examine the value of domestic battery storage systems, both with and without associated PV installations. We show quantitatively, for the first time, that domestic battery storage is a financially worthwhile investment for households, and that participating in network operator and system operator flexibility markets can be lucrative. Finally, we show that domestic PV installations have a negative value when accounting for the capital investment. However, if a household wanted to install PV for non-financial reasons, investing in a battery alongside the PV gives the installed system a positive value.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Curbing emissions to avoid the worst impacts of climate change is likely to lead to a significant increase in electricity demand due to the electrification of heating and transportation, and a decrease in the balancing reserve due to a decrease in the number of gas turbines. To alleviate the significant network investment costs and the fall in balancing resources, both distribution network operators and the system operator in Great Britain have created markets for behind-the-meter flexibility. For domestic battery storage to play a meaningful role in flexibility markets, it must be beneficial to the households who choose to finance and install it. In this paper we examine the value of domestic battery storage systems, both with and without associated PV installations. We show quantitatively, for the first time, that domestic battery storage is a financially worthwhile investment for households, and that participating in network operator and system operator flexibility markets can be lucrative. Finally, we show that domestic PV installations have a negative value when accounting for the capital investment. However, if a household wanted to install PV for non-financial reasons, investing in a battery alongside the PV gives the installed system a positive value.
Shtanov, Mark
Drawing your incinerator: suitability of graphic anthropology for researching municipal solid waste infrastructure in the United Kingdom Proceedings Article
In: Sosiologia, pp. 139, The Westermarck Society, Finland, 2023, (proceedings published in the print version only).
@inproceedings{1e4d84d8c9e94be699ad702c2ffb841fb,
title = {Drawing your incinerator: suitability of graphic anthropology for researching municipal solid waste infrastructure in the United Kingdom},
author = {Mark Shtanov},
year = {2023},
date = {2023-01-01},
booktitle = {Sosiologia},
volume = {2},
pages = {139},
publisher = {The Westermarck Society},
address = {Finland},
abstract = {Societies in the Global North typically neglect, fear, or deny the existence of waste. They seek to marginalise waste management infrastructure geographically and cognitively. New research methods are needed to study, visualise, expose and debate, where our waste goes and what happens to it. This paper aims to position waste treatment facilities as urban typologies, workplaces, and locations of cultural significance, rather than merely as logistical non-places. Methodologically, the research uses graphic anthropology, which involves documenting industrial facilities through annotated sketches and diagrams. The approach has been previously employed in the examination of urban public spaces, private homes, psychiatric hospitals, and prisons. The suitability of graphic anthropology for research on waste treatment facilities will be evaluated. The study specifically focuses on energy-from-waste facilities in Manchester and Middlesbrough, United Kingdom, and includes findings from interviews with staff and stakeholders. Findings contribute to the fields of waste management, architecture, and Science and Technology Studies by providing methodological innovation and highlighting the potential benefits and drawbacks of using graphic anthropology to study waste management infrastructure. Furthermore, the findings contribute to the discussion about the design flaws impacting on the durability and operational efficiency of industrial facilities, as well as the comfort and well-being of their workers.},
note = {proceedings published in the print version only},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Societies in the Global North typically neglect, fear, or deny the existence of waste. They seek to marginalise waste management infrastructure geographically and cognitively. New research methods are needed to study, visualise, expose and debate, where our waste goes and what happens to it. This paper aims to position waste treatment facilities as urban typologies, workplaces, and locations of cultural significance, rather than merely as logistical non-places. Methodologically, the research uses graphic anthropology, which involves documenting industrial facilities through annotated sketches and diagrams. The approach has been previously employed in the examination of urban public spaces, private homes, psychiatric hospitals, and prisons. The suitability of graphic anthropology for research on waste treatment facilities will be evaluated. The study specifically focuses on energy-from-waste facilities in Manchester and Middlesbrough, United Kingdom, and includes findings from interviews with staff and stakeholders. Findings contribute to the fields of waste management, architecture, and Science and Technology Studies by providing methodological innovation and highlighting the potential benefits and drawbacks of using graphic anthropology to study waste management infrastructure. Furthermore, the findings contribute to the discussion about the design flaws impacting on the durability and operational efficiency of industrial facilities, as well as the comfort and well-being of their workers.
Shtanov, Mark
Drawing your incinerator: suitability of graphic anthropology for researching municipal solid waste infrastructure in the United Kingdom Proceedings Article
In: Sosiologia, pp. 139, The Westermarck Society, Finland, 2023, (proceedings published in the print version only).
@inproceedings{1e4d84d8c9e94be699ad702c2ffb841f,
title = {Drawing your incinerator: suitability of graphic anthropology for researching municipal solid waste infrastructure in the United Kingdom},
author = {Mark Shtanov},
year = {2023},
date = {2023-01-01},
booktitle = {Sosiologia},
volume = {2},
pages = {139},
publisher = {The Westermarck Society},
address = {Finland},
abstract = {Societies in the Global North typically neglect, fear, or deny the existence of waste. They seek to marginalise waste management infrastructure geographically and cognitively. New research methods are needed to study, visualise, expose and debate, where our waste goes and what happens to it. This paper aims to position waste treatment facilities as urban typologies, workplaces, and locations of cultural significance, rather than merely as logistical non-places. Methodologically, the research uses graphic anthropology, which involves documenting industrial facilities through annotated sketches and diagrams. The approach has been previously employed in the examination of urban public spaces, private homes, psychiatric hospitals, and prisons. The suitability of graphic anthropology for research on waste treatment facilities will be evaluated. The study specifically focuses on energy-from-waste facilities in Manchester and Middlesbrough, United Kingdom, and includes findings from interviews with staff and stakeholders. Findings contribute to the fields of waste management, architecture, and Science and Technology Studies by providing methodological innovation and highlighting the potential benefits and drawbacks of using graphic anthropology to study waste management infrastructure. Furthermore, the findings contribute to the discussion about the design flaws impacting on the durability and operational efficiency of industrial facilities, as well as the comfort and well-being of their workers.},
note = {proceedings published in the print version only},
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Societies in the Global North typically neglect, fear, or deny the existence of waste. They seek to marginalise waste management infrastructure geographically and cognitively. New research methods are needed to study, visualise, expose and debate, where our waste goes and what happens to it. This paper aims to position waste treatment facilities as urban typologies, workplaces, and locations of cultural significance, rather than merely as logistical non-places. Methodologically, the research uses graphic anthropology, which involves documenting industrial facilities through annotated sketches and diagrams. The approach has been previously employed in the examination of urban public spaces, private homes, psychiatric hospitals, and prisons. The suitability of graphic anthropology for research on waste treatment facilities will be evaluated. The study specifically focuses on energy-from-waste facilities in Manchester and Middlesbrough, United Kingdom, and includes findings from interviews with staff and stakeholders. Findings contribute to the fields of waste management, architecture, and Science and Technology Studies by providing methodological innovation and highlighting the potential benefits and drawbacks of using graphic anthropology to study waste management infrastructure. Furthermore, the findings contribute to the discussion about the design flaws impacting on the durability and operational efficiency of industrial facilities, as well as the comfort and well-being of their workers.
2022
Li, Wenzhu; Cesena, Eduardo Alejandro Martinez; Cunningham, Lee; Panteli, Mathaios; Schultz, David; Mander, Sarah; Gan, Chin Kim; Mancarella, Pierluigi
In: Proceedings of IEEE Power and Energy Society: Innovative Smart Grid Technologies (ISGT) Europe 2022, pp. 1–5, IEEE, United States, 2022, ISBN: 9781665480321, (Funding Information: ACKNOWLEDGEMENT The authors gratefully acknowledge the financial support of the EPSRC for funding “TERSE” (EP/R030294/1), UKRI for the GCRF funds for “FutureDAMS” (ES/P011373/1), as well as the GCRF funds for PhD Studentship. The authors also sincerely thank the Research & Development team from Sarawak Energy Berhad, Malaysia, Dr Fergus McClean and Prof Richard Dawson from Newcastle University for providing data and CityCAT software for this work. Publisher Copyright: © 2022 IEEE.; IEEE PES Innovative Smart Grid Technologies (ISGT) Europe 2022, ISGT Europe 2022 ; Conference date: 10-10-2022 Through 12-10-2022).
@inproceedings{26fb4cfe31094370930393e702540405,
title = {Assessing Power System Resilience to Floods: A Geo-Referenced Statistical Model for Substation Inundation Failures: A Geo-Referenced Statistical Model for Substation Inundation Failures},
author = {Wenzhu Li and Eduardo Alejandro Martinez Cesena and Lee Cunningham and Mathaios Panteli and David Schultz and Sarah Mander and Chin Kim Gan and Pierluigi Mancarella},
url = {https://attend.ieee.org/isgt-europe-2022/},
doi = {10.1109/ISGT-Europe54678.2022.9960296},
isbn = {9781665480321},
year = {2022},
date = {2022-10-12},
booktitle = {Proceedings of IEEE Power and Energy Society: Innovative Smart Grid Technologies (ISGT) Europe 2022},
pages = {1–5},
publisher = {IEEE},
address = {United States},
series = {IEEE PES Innovative Smart Grid Technologies Conference Europe},
abstract = {Floods can cause widespread and prolonged power outages by inundating substations. However, assessing the inundation failure of substations to improve power system resilience is challenging, as there may not be sufficient historical data to capture the impact of flooding on substations at a given location, due to their evident temporal and spatial variability. To tackle this gap in knowledge, this paper proposes a georeferenced statistical model that is not constrained by historical flooding data. The geo-referenced model embeds a hydrological model that uses established digital rainfall and topography data to simulate flood depths at the location of selected substations and calculate associated inundation risks. The stochastic inundation profiles are used within a Monte Carlo simulation to model substation failures and explore options to improve power system resilience (e.g., asset elevation). The proposed model is demonstrated using a case study from Bintulu, Malaysia, where real empirical data was used to identify the breaking points of the power system and estimate probability density functions of energy not supplied caused by inundated substations. The simulation results show that substation failures can abruptly lead to significant energy not being supplied, whereas elevating the substation to withstand an additional 20 cm flood depth will significantly delay flood impacts, and effectively improve system resilience. The proposed methodology and key findings will enable system planners and operators to understand when and where the power system will experience energy losses under unpredictable extreme floods and help them to decide on the most effective resilience enhancement strategies.},
note = {Funding Information: ACKNOWLEDGEMENT The authors gratefully acknowledge the financial support of the EPSRC for funding “TERSE” (EP/R030294/1), UKRI for the GCRF funds for “FutureDAMS” (ES/P011373/1), as well as the GCRF funds for PhD Studentship. The authors also sincerely thank the Research & Development team from Sarawak Energy Berhad, Malaysia, Dr Fergus McClean and Prof Richard Dawson from Newcastle University for providing data and CityCAT software for this work. Publisher Copyright: © 2022 IEEE.; IEEE PES Innovative Smart Grid Technologies (ISGT) Europe 2022, ISGT Europe 2022 ; Conference date: 10-10-2022 Through 12-10-2022},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Floods can cause widespread and prolonged power outages by inundating substations. However, assessing the inundation failure of substations to improve power system resilience is challenging, as there may not be sufficient historical data to capture the impact of flooding on substations at a given location, due to their evident temporal and spatial variability. To tackle this gap in knowledge, this paper proposes a georeferenced statistical model that is not constrained by historical flooding data. The geo-referenced model embeds a hydrological model that uses established digital rainfall and topography data to simulate flood depths at the location of selected substations and calculate associated inundation risks. The stochastic inundation profiles are used within a Monte Carlo simulation to model substation failures and explore options to improve power system resilience (e.g., asset elevation). The proposed model is demonstrated using a case study from Bintulu, Malaysia, where real empirical data was used to identify the breaking points of the power system and estimate probability density functions of energy not supplied caused by inundated substations. The simulation results show that substation failures can abruptly lead to significant energy not being supplied, whereas elevating the substation to withstand an additional 20 cm flood depth will significantly delay flood impacts, and effectively improve system resilience. The proposed methodology and key findings will enable system planners and operators to understand when and where the power system will experience energy losses under unpredictable extreme floods and help them to decide on the most effective resilience enhancement strategies.
Li, Wenzhu; Cesena, Eduardo Alejandro Martinez; Cunningham, Lee; Panteli, Mathaios; Schultz, David; Mander, Sarah; Gan, Chin Kim; Mancarella, Pierluigi
In: Proceedings of IEEE Power and Energy Society: Innovative Smart Grid Technologies (ISGT) Europe 2022, pp. 1–5, IEEE, United States, 2022, ISBN: 9781665480321, (Funding Information: ACKNOWLEDGEMENT The authors gratefully acknowledge the financial support of the EPSRC for funding “TERSE” (EP/R030294/1), UKRI for the GCRF funds for “FutureDAMS” (ES/P011373/1), as well as the GCRF funds for PhD Studentship. The authors also sincerely thank the Research & Development team from Sarawak Energy Berhad, Malaysia, Dr Fergus McClean and Prof Richard Dawson from Newcastle University for providing data and CityCAT software for this work. Publisher Copyright: © 2022 IEEE.; IEEE PES Innovative Smart Grid Technologies (ISGT) Europe 2022, ISGT Europe 2022 ; Conference date: 10-10-2022 Through 12-10-2022).
@inproceedings{26fb4cfe31094370930393e702540405b,
title = {Assessing Power System Resilience to Floods: A Geo-Referenced Statistical Model for Substation Inundation Failures: A Geo-Referenced Statistical Model for Substation Inundation Failures},
author = {Wenzhu Li and Eduardo Alejandro Martinez Cesena and Lee Cunningham and Mathaios Panteli and David Schultz and Sarah Mander and Chin Kim Gan and Pierluigi Mancarella},
url = {https://attend.ieee.org/isgt-europe-2022/},
doi = {10.1109/ISGT-Europe54678.2022.9960296},
isbn = {9781665480321},
year = {2022},
date = {2022-10-12},
booktitle = {Proceedings of IEEE Power and Energy Society: Innovative Smart Grid Technologies (ISGT) Europe 2022},
pages = {1–5},
publisher = {IEEE},
address = {United States},
series = {IEEE PES Innovative Smart Grid Technologies Conference Europe},
abstract = {Floods can cause widespread and prolonged power outages by inundating substations. However, assessing the inundation failure of substations to improve power system resilience is challenging, as there may not be sufficient historicaldata to capture the impact of flooding on substations at a given location, due to their evident temporal and spatial variability. To tackle this gap in knowledge, this paper proposes a georeferenced statistical model that is not constrained by historical flooding data. The geo-referenced model embeds a hydrologicalmodel that uses established digital rainfall and topography data to simulate flood depths at the location of selected substations and calculate associated inundation risks. The stochastic inundation profiles are used within a Monte Carlo simulation to model substation failures and explore options to improve power system resilience (e.g., asset elevation). The proposed model isdemonstrated using a case study from Bintulu, Malaysia, where real empirical data was used to identify the breaking points of the power system and estimate probability density functions of energy not supplied caused by inundated substations. The simulation results show that substation failures can abruptlylead to significant energy not being supplied, whereas elevating the substation to withstand an additional 20 cm flood depth will significantly delay flood impacts, and effectively improve system resilience. The proposed methodology and key findings will enable system planners and operators to understand when and where the power system will experience energy losses under unpredictable extreme floods and help them to decide on the most effective resilience enhancement strategies.},
note = {Funding Information: ACKNOWLEDGEMENT The authors gratefully acknowledge the financial support of the EPSRC for funding “TERSE” (EP/R030294/1), UKRI for the GCRF funds for “FutureDAMS” (ES/P011373/1), as well as the GCRF funds for PhD Studentship. The authors also sincerely thank the Research & Development team from Sarawak Energy Berhad, Malaysia, Dr Fergus McClean and Prof Richard Dawson from Newcastle University for providing data and CityCAT software for this work. Publisher Copyright: © 2022 IEEE.; IEEE PES Innovative Smart Grid Technologies (ISGT) Europe 2022, ISGT Europe 2022 ; Conference date: 10-10-2022 Through 12-10-2022},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Floods can cause widespread and prolonged power outages by inundating substations. However, assessing the inundation failure of substations to improve power system resilience is challenging, as there may not be sufficient historicaldata to capture the impact of flooding on substations at a given location, due to their evident temporal and spatial variability. To tackle this gap in knowledge, this paper proposes a georeferenced statistical model that is not constrained by historical flooding data. The geo-referenced model embeds a hydrologicalmodel that uses established digital rainfall and topography data to simulate flood depths at the location of selected substations and calculate associated inundation risks. The stochastic inundation profiles are used within a Monte Carlo simulation to model substation failures and explore options to improve power system resilience (e.g., asset elevation). The proposed model isdemonstrated using a case study from Bintulu, Malaysia, where real empirical data was used to identify the breaking points of the power system and estimate probability density functions of energy not supplied caused by inundated substations. The simulation results show that substation failures can abruptlylead to significant energy not being supplied, whereas elevating the substation to withstand an additional 20 cm flood depth will significantly delay flood impacts, and effectively improve system resilience. The proposed methodology and key findings will enable system planners and operators to understand when and where the power system will experience energy losses under unpredictable extreme floods and help them to decide on the most effective resilience enhancement strategies.
Li, Wenzhu; Cunningham, Lee; Mander, Sarah; Schultz, David; Panteli, Mathaios; Gan, Chin Kim
Siting of Electrical Substations for Flood Resilience: Identification of Hazards and Vulnerable Assets Proceedings Article
In: Proceedings of the 2022 MACE PGR Conference, pp. 1–4, 2022, (The 2022 MACE PGR Conference ; Conference date: 01-07-2022 Through 01-07-2022).
@inproceedings{a68dea1043d34154847865006922fb44,
title = {Siting of Electrical Substations for Flood Resilience: Identification of Hazards and Vulnerable Assets},
author = {Wenzhu Li and Lee Cunningham and Sarah Mander and David Schultz and Mathaios Panteli and Chin Kim Gan},
year = {2022},
date = {2022-07-01},
booktitle = {Proceedings of the 2022 MACE PGR Conference},
pages = {1–4},
abstract = {Extreme weather events disrupt power-system assets, causing widespread and prolonged power outages. Proper siting of power-system assets can help stakeholders improve their resilience (i.e., the ability to withstand hazards and recover quickly from impacts) at the planning stage. However, resilience is context-dependent because different regions face distinct hazards and these damage power system assets differently. As such, the asset siting schemes for stakeholders involve a complex process of i) identifying hazards and vulnerable assets, ii) determining the failure mechanisms of assets under hazards and iii) weighing up the economic and social effectiveness involved in resilience enhancement measures. This paper will focus on the first step of the process, which is to demonstrate how to identify the most severe hazards (e.g., floods) and affected assets (e.g., substations), using Peninsular Malaysia as the study area. The results of this study can provide research objectives for the subsequent two steps: determining the failure mechanisms of assets subject to hazards, and developing resilience enhancement measures in the third step.},
note = {The 2022 MACE PGR Conference ; Conference date: 01-07-2022 Through 01-07-2022},
keywords = {},
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Extreme weather events disrupt power-system assets, causing widespread and prolonged power outages. Proper siting of power-system assets can help stakeholders improve their resilience (i.e., the ability to withstand hazards and recover quickly from impacts) at the planning stage. However, resilience is context-dependent because different regions face distinct hazards and these damage power system assets differently. As such, the asset siting schemes for stakeholders involve a complex process of i) identifying hazards and vulnerable assets, ii) determining the failure mechanisms of assets under hazards and iii) weighing up the economic and social effectiveness involved in resilience enhancement measures. This paper will focus on the first step of the process, which is to demonstrate how to identify the most severe hazards (e.g., floods) and affected assets (e.g., substations), using Peninsular Malaysia as the study area. The results of this study can provide research objectives for the subsequent two steps: determining the failure mechanisms of assets subject to hazards, and developing resilience enhancement measures in the third step.
Foggitt, Ella; Mehta, Nikita; Roy, Manoj; Pickup, Roger; Ara, Yasmin; Veral, Mehmet; Kabir, Ehsan; Larbi, Reuben
Connecting the Unconnected: Informal Toilets and a Safe Circular Water Economy.: Proceedings of International Symposium Proceedings Article
In: Connecting the Unconnected: Informal Toilets and a Safe Circular Water Economy., Lancaster University, United Kingdom, 2022.
@inproceedings{101909bdeb4a40ecb5aab1b668d83786,
title = {Connecting the Unconnected: Informal Toilets and a Safe Circular Water Economy.: Proceedings of International Symposium},
author = {Ella Foggitt and Nikita Mehta and Manoj Roy and Roger Pickup and Yasmin Ara and Mehmet Veral and Ehsan Kabir and Reuben Larbi},
year = {2022},
date = {2022-01-01},
booktitle = {Connecting the Unconnected: Informal Toilets and a Safe Circular Water Economy.},
publisher = {Lancaster University},
address = {United Kingdom},
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Foggitt, Ella; Mehta, Nikita; Roy, Manoj; Pickup, Roger; Ara, Yasmin; Veral, Mehmet; Kabir, Ehsan; Larbi, Reuben
Connecting the Unconnected: Informal Toilets and a Safe Circular Water Economy.: Proceedings of International Symposium Proceedings Article
In: Connecting the Unconnected: Informal Toilets and a Safe Circular Water Economy., Lancaster University, United Kingdom, 2022.
@inproceedings{101909bdeb4a40ecb5aab1b668d83786b,
title = {Connecting the Unconnected: Informal Toilets and a Safe Circular Water Economy.: Proceedings of International Symposium},
author = {Ella Foggitt and Nikita Mehta and Manoj Roy and Roger Pickup and Yasmin Ara and Mehmet Veral and Ehsan Kabir and Reuben Larbi},
year = {2022},
date = {2022-01-01},
booktitle = {Connecting the Unconnected: Informal Toilets and a Safe Circular Water Economy.},
publisher = {Lancaster University},
address = {United Kingdom},
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2021
ElAgouz, Noura
Environmental, Economic, and Social Life Cycle Impacts of Alternative Fuel Buses: The Case for Qatar. Proceedings Article
In: 10th International Conference on Power Science and Engineering (ICPSE 2021), pp. 132–137, IEEE, United States, 2021.
@inproceedings{8d09be8c922a45428e75da4dc7f41079,
title = {Environmental, Economic, and Social Life Cycle Impacts of Alternative Fuel Buses: The Case for Qatar.},
author = {Noura ElAgouz},
year = {2021},
date = {2021-10-21},
booktitle = {10th International Conference on Power Science and Engineering (ICPSE 2021)},
pages = {132–137},
publisher = {IEEE},
address = {United States},
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Li, Jingyi; Tarpani, Raphael; Schmid, Alejandro Gallego; Stamford, Laurence
Adopting Circular Economy Strategies into Geothermal Power Generation Proceedings Article
In: 3rd Symposium on Circular Economy and Sustainability, 2021.
@inproceedings{4737f47e585f43698b3499c0a7d98204,
title = {Adopting Circular Economy Strategies into Geothermal Power Generation},
author = {Jingyi Li and Raphael Tarpani and Alejandro Gallego Schmid and Laurence Stamford},
year = {2021},
date = {2021-06-29},
booktitle = {3rd Symposium on Circular Economy and Sustainability},
abstract = {Geothermal energy is a stable and ubiquitous renewable energy source, which has been successfully deployed for heating, cooling, and electricity production in many nations around the world. Therefore, it has been considered a promising technique to mitigate climate change and other impacts. However, few studies have addressed circular economy (CE) strategies for geothermal energy utilisation, leaving an important but underexplored gap in literature. This work evaluates how different CE strategies can aid geothermal energy to become an even more sustainable energy source.},
keywords = {},
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Geothermal energy is a stable and ubiquitous renewable energy source, which has been successfully deployed for heating, cooling, and electricity production in many nations around the world. Therefore, it has been considered a promising technique to mitigate climate change and other impacts. However, few studies have addressed circular economy (CE) strategies for geothermal energy utilisation, leaving an important but underexplored gap in literature. This work evaluates how different CE strategies can aid geothermal energy to become an even more sustainable energy source.
Li, Jingyi; Tarpani, Raphael; Schmid, Alejandro Gallego; Stamford, Laurence
Adopting Circular Economy Strategies into Geothermal Power Generation Proceedings Article
In: 3rd Symposium on Circular Economy and Sustainability, 2021.
@inproceedings{4737f47e585f43698b3499c0a7d98204b,
title = {Adopting Circular Economy Strategies into Geothermal Power Generation},
author = {Jingyi Li and Raphael Tarpani and Alejandro Gallego Schmid and Laurence Stamford},
year = {2021},
date = {2021-06-29},
booktitle = {3rd Symposium on Circular Economy and Sustainability},
abstract = {Geothermal energy is a stable and ubiquitous renewable energy source, which has been successfully deployed for heating, cooling, and electricity production in many nations around the world. Therefore, it has been considered a promising technique to mitigate climate change and other impacts. However, few studies have addressed circular economy (CE) strategies for geothermal energy utilisation, leaving an important but underexplored gap in literature. This work evaluates how different CE strategies can aid geothermal energy to become an even more sustainable energy source.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Geothermal energy is a stable and ubiquitous renewable energy source, which has been successfully deployed for heating, cooling, and electricity production in many nations around the world. Therefore, it has been considered a promising technique to mitigate climate change and other impacts. However, few studies have addressed circular economy (CE) strategies for geothermal energy utilisation, leaving an important but underexplored gap in literature. This work evaluates how different CE strategies can aid geothermal energy to become an even more sustainable energy source.
Li, Wenzhu; Galeela, Mohamed; Panteli, Mathaios; Cesena, Eduardo Alejandro Martinez; Mancarella, Pierluigi
Comparative Studies on Cost, Reliability and Resilience of Off-Grid Energy Systems Proceedings Article
In: 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, pp. 1–6, IEEE, United States, 2021, (Funding Information: ACKNOWLEDGMENT The authors gratefully acknowledge the financial support of the EPSRC-funded “Techno-Economic framework for Resilient and Sustainable Electrification” (EP/R030294/1) and the Newton Prize project “Resilient Planning of Low-Carbon Power Systems”. Publisher Copyright: © 2021 IEEE.; 2021 IEEE Madrid PowerTech, PowerTech 2021 ; Conference date: 28-06-2021 Through 02-07-2021).
@inproceedings{0f2f895ac1b04dc9862dbb978d0ba57a,
title = {Comparative Studies on Cost, Reliability and Resilience of Off-Grid Energy Systems},
author = {Wenzhu Li and Mohamed Galeela and Mathaios Panteli and Eduardo Alejandro Martinez Cesena and Pierluigi Mancarella},
doi = {10.1109/PowerTech46648.2021.9495025},
year = {2021},
date = {2021-06-28},
booktitle = {2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings},
pages = {1–6},
publisher = {IEEE},
address = {United States},
series = {2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings},
abstract = {Rural electrification is critical for the social and economic development of developing countries. Off-grid energy systems are attractive solutions for rural electrification which may offer technical and economic benefits compared with network expansion. However, given the conditions in remote areas, off-grid energy systems are often exposed to high impact and low probability (HILP) events such as natural hazards. This is an issue as off-grid planning practices traditionally focus on average performance reliability indicators, and neglect studying resilience to HILP events. This paper proposes a practical off-grid assessment framework which brings together average and risk performance indices to optimally size off-grid energy systems and quantify their reliability and resilience performance. The proposed methodology, based on Sequential Monte Carlo simulations, is demonstrated with two off-grid energy systems: PV and CHP based systems. In addition, through case studies with applications on windstorms, the impacts of natural hazards are systematically quantified and explicitly considered in the sizing of the off-grid plant. Power system planners and operators can use this framework to quantify the reliability and resilience of off-grid energy systems and inform the decision-making on optimal portfolios for rural electrification.},
note = {Funding Information: ACKNOWLEDGMENT The authors gratefully acknowledge the financial support of the EPSRC-funded “Techno-Economic framework for Resilient and Sustainable Electrification” (EP/R030294/1) and the Newton Prize project “Resilient Planning of Low-Carbon Power Systems”. Publisher Copyright: © 2021 IEEE.; 2021 IEEE Madrid PowerTech, PowerTech 2021 ; Conference date: 28-06-2021 Through 02-07-2021},
keywords = {},
pubstate = {published},
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}
Rural electrification is critical for the social and economic development of developing countries. Off-grid energy systems are attractive solutions for rural electrification which may offer technical and economic benefits compared with network expansion. However, given the conditions in remote areas, off-grid energy systems are often exposed to high impact and low probability (HILP) events such as natural hazards. This is an issue as off-grid planning practices traditionally focus on average performance reliability indicators, and neglect studying resilience to HILP events. This paper proposes a practical off-grid assessment framework which brings together average and risk performance indices to optimally size off-grid energy systems and quantify their reliability and resilience performance. The proposed methodology, based on Sequential Monte Carlo simulations, is demonstrated with two off-grid energy systems: PV and CHP based systems. In addition, through case studies with applications on windstorms, the impacts of natural hazards are systematically quantified and explicitly considered in the sizing of the off-grid plant. Power system planners and operators can use this framework to quantify the reliability and resilience of off-grid energy systems and inform the decision-making on optimal portfolios for rural electrification.
Li, Wenzhu; Galeela, Mohamed; Panteli, Mathaios; Cesena, Eduardo Alejandro Martinez; Mancarella, Pierluigi
Comparative Studies on Cost, Reliability and Resilience of Off-Grid Energy Systems Proceedings Article
In: 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings, pp. 1–6, IEEE, United States, 2021, (Funding Information: ACKNOWLEDGMENT The authors gratefully acknowledge the financial support of the EPSRC-funded “Techno-Economic framework for Resilient and Sustainable Electrification” (EP/R030294/1) and the Newton Prize project “Resilient Planning of Low-Carbon Power Systems”. Publisher Copyright: © 2021 IEEE.; 2021 IEEE Madrid PowerTech, PowerTech 2021 ; Conference date: 28-06-2021 Through 02-07-2021).
@inproceedings{0f2f895ac1b04dc9862dbb978d0ba57ab,
title = {Comparative Studies on Cost, Reliability and Resilience of Off-Grid Energy Systems},
author = {Wenzhu Li and Mohamed Galeela and Mathaios Panteli and Eduardo Alejandro Martinez Cesena and Pierluigi Mancarella},
doi = {10.1109/PowerTech46648.2021.9495025},
year = {2021},
date = {2021-06-28},
booktitle = {2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings},
pages = {1–6},
publisher = {IEEE},
address = {United States},
series = {2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings},
abstract = {Rural electrification is critical for the social and economic development of developing countries. Off-grid energy systems are attractive solutions for rural electrification which may offer technical and economic benefits compared with network expansion. However, given the conditions in remote areas, off-grid energy systems are often exposed to high impact and low probability (HILP) events such as natural hazards. This is an issue as off-grid planning practices traditionally focus on average performance reliability indicators, and neglect studying resilience to HILP events. This paper proposes a practical off-grid assessment framework which brings together average and risk performance indices to optimally size off-grid energy systems and quantify their reliability and resilience performance. The proposed methodology, based on Sequential Monte Carlo simulations, is demonstrated with two off-grid energy systems: PV and CHP based systems. In addition, through case studies with applications on windstorms, the impacts of natural hazards are systematically quantified and explicitly considered in the sizing of the off-grid plant. Power system planners and operators can use this framework to quantify the reliability and resilience of off-grid energy systems and inform the decision-making on optimal portfolios for rural electrification.},
note = {Funding Information: ACKNOWLEDGMENT The authors gratefully acknowledge the financial support of the EPSRC-funded “Techno-Economic framework for Resilient and Sustainable Electrification” (EP/R030294/1) and the Newton Prize project “Resilient Planning of Low-Carbon Power Systems”. Publisher Copyright: © 2021 IEEE.; 2021 IEEE Madrid PowerTech, PowerTech 2021 ; Conference date: 28-06-2021 Through 02-07-2021},
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Rural electrification is critical for the social and economic development of developing countries. Off-grid energy systems are attractive solutions for rural electrification which may offer technical and economic benefits compared with network expansion. However, given the conditions in remote areas, off-grid energy systems are often exposed to high impact and low probability (HILP) events such as natural hazards. This is an issue as off-grid planning practices traditionally focus on average performance reliability indicators, and neglect studying resilience to HILP events. This paper proposes a practical off-grid assessment framework which brings together average and risk performance indices to optimally size off-grid energy systems and quantify their reliability and resilience performance. The proposed methodology, based on Sequential Monte Carlo simulations, is demonstrated with two off-grid energy systems: PV and CHP based systems. In addition, through case studies with applications on windstorms, the impacts of natural hazards are systematically quantified and explicitly considered in the sizing of the off-grid plant. Power system planners and operators can use this framework to quantify the reliability and resilience of off-grid energy systems and inform the decision-making on optimal portfolios for rural electrification.
Vrain, Emilie; Wilson, Charlie
Social Influence in the Adoption of Digital Consumer Innovations to Mitigate Climate Change Proceedings Article
In: Zhu, Xianli; Dias, Gabriela Prata (Ed.): Conference Proceedings - BEHAVE 2020-2021: the 6th European Conference on Behaviour Change for Energy Efficiency, pp. 85–88, 2021.
@inproceedings{9cf2d6dfd0c844899fb7ea6c012c96b6,
title = {Social Influence in the Adoption of Digital Consumer Innovations to Mitigate Climate Change},
author = {Emilie Vrain and Charlie Wilson},
editor = {Xianli Zhu and Gabriela Prata Dias},
year = {2021},
date = {2021-06-01},
booktitle = {Conference Proceedings - BEHAVE 2020-2021: the 6th European Conference on Behaviour Change for Energy Efficiency},
pages = {85–88},
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}
2020
Edo-Osagie, Oduwa; Iglesia, Beatriz De La; Lake, Iain; Edeghere, Obaghe
An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis Proceedings Article
In: Cal, Enrique Antonio; Flecha, José Ramón Villar; Quintián, Héctor; Corchado, Emilio (Ed.): Hybrid Artificial Intelligent Systems, pp. 160–171, Springer, Germany, 2020, ISBN: 978-3-030-61705-9.
@inproceedings{7b9b694e198e4be4926906e1868d6fe1,
title = {An Evolutionary Approach to Automatic Keyword Selection for Twitter Data Analysis},
author = {Oduwa Edo-Osagie and Beatriz De La Iglesia and Iain Lake and Obaghe Edeghere},
editor = {Enrique Antonio Cal and José Ramón Villar Flecha and Héctor Quintián and Emilio Corchado},
doi = {10.1007/978-3-030-61705-9_14},
isbn = {978-3-030-61705-9},
year = {2020},
date = {2020-11-04},
booktitle = {Hybrid Artificial Intelligent Systems},
pages = {160–171},
publisher = {Springer},
address = {Germany},
series = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
abstract = {In this paper, we propose an approach to intelligent and automatic keyword selection for the purpose of Twitter data collection and analysis. The proposed approach makes use of a combination of deep learning and evolutionary computing. As some context for application, we present the proposed algorithm using the case study of public health surveillance over Twitter, which is a field with a lot of interest. We also describe an optimization objective function particular to the keyword selection problem, as well as metrics for evaluating Twitter keywords, namely: reach and tweet retreival power, on top of traditional metrics such as precision. In our experiments, our evolutionary computing approach achieved a tweet retreival power of 0.55, compared to 0.35 achieved by the baseline human approach.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we propose an approach to intelligent and automatic keyword selection for the purpose of Twitter data collection and analysis. The proposed approach makes use of a combination of deep learning and evolutionary computing. As some context for application, we present the proposed algorithm using the case study of public health surveillance over Twitter, which is a field with a lot of interest. We also describe an optimization objective function particular to the keyword selection problem, as well as metrics for evaluating Twitter keywords, namely: reach and tweet retreival power, on top of traditional metrics such as precision. In our experiments, our evolutionary computing approach achieved a tweet retreival power of 0.55, compared to 0.35 achieved by the baseline human approach.