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Dr Solomon F BrownI am a Senior Lecturer in the Department of Chemical and Biological Engineering at The University of Sheffield.
I'm the Director of the EPSRC's CDT in Energy Storage and its Applications and lead the Brown Group at Sheffield with ongoing projects funded by the EPSRC, BEIS, DASA, RAEng, the EC and Industry. |
Current Group members
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Jude Ejeh joined us as part of the Energy Open Piazza – Power Forward Challenge project, he works on developing optimisation models for electrical energy systems. This involves and extends to models for optimal scheduling of electrical energy storage devices for efficient integration of renewable energy sources – solar and wind, energy arbitrage, balancing mechanism services and other energy services for behind-the-meter and front-of-meter applications. It further covers the use of static electrical energy storage devices as well as the optimal scheduling of electric vehicle charging/discharging for vehicle-to-home (V2H) and vehicle-to-grid (V2G) applications. He also has experience in developing techno-economic optimisation models for process systems, with emphasis on multi-floor process plant layout configurations; in research relating to obtaining fuels from plastic wastes, as an intern in a Petroleum refining company and a Nuclear research laboratory. His current research interests lie in operations research (OR) applications to energy systems and supply chains. |
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Peter Bugryniec: My research focuses on developing a better understanding of the safety of Li-ion batteries. Specifically, my work investigates the hazard of thermal runaway with the aim of determining the governing processes and influencing factors that affect thermal runaway severity. This involves employing experimental methods to study the thermal runaway process under different environmental conditions and battery states. It further involves computational techniques for the development of an advanced abuse model of Lithium-ion phosphate cells.
ResearchGate |
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Rachel Lee’s research is aimed at combining technical analysis of vehicle-to-grid (V2G) systems with a human behaviour model in order to move from current ‘technically feasible’ to more realistic “practically achievable” volumes of V2G response. The work employs an agent-based simulation using the ‘consumat’ behaviour model to first establish the growth in electric vehicle deployment and then the uptake of V2G contracts. Data from the National Travel Survey is used to model journeys and locations of vehicles so that the availability of V2G connection points at different locations can be considered within the analysis.
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Diarmid Roberts: The goal of my project is to perform a techno-economic analysis of Redox Flow Batteries in grid-connected applications. The work has two major components:
- Battery model - what performance can the battery achieve, and at what cost? - Application models - how much revenue can the battery generate in a particular application? For the application models I am making use of linear, non-linear and integer programming in order to determine revenue under optimal scheduling. I am also investigating stochastic approaches in order to understand how much revenue can be realised in practice, considering short-term uncertainty in electricity price and the need to access multiple revenue streams. LindedIn |
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Tim Hutty's project seeks to assess the efficacy and cost of reversible solid oxide fuel cells (ReSOFC) as a tool for implementing a small scale, low-carbon distributed energy generation/storage system when interacting with a larger grid. To this end a microgrid simulation will be constructed using AnyLogic software.
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Flora Biggin's research looks at how energy storage can be utilised to generate value in different integration scenarios. Case studies have explored locational effects of co-locating battery storage with solar, optimising bidding strategies in competitive energy markets and community storage partially accessed by a value-maximising aggregator. Ongoing work includes developing a model for a wind-based hydrogen electrolysis and applying a real-options approach to energy storage projects.
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