The Power and Energy Division of the School of Electrical and Electronic Engineering of The University of Manchester, Manchester, UK is looking for a Research Associate to work on research project funded by the EPSRC “Multi-energy storage-social, techno-economic, regulatory and environmental assessment under uncertainty (MY STORE)”.
Current research on energy storage is addressing various aspects including whole-system analysis of technologies, enhancing operation of power systems with large-scale Renewable Energy Sources (RES), development of various Electrical Energy Storage (EES) and Thermal Energy Storage (TES) technologies, and analysis of commercial and regulatory aspects of storage. However, there is still little understanding as to the true value streams, impacts and synergies of EES and TES, how to develop sustainable business cases, and establish environments that can facilitate large-scale storage rollout. This is due to multiple factors that can be reflected in relevant Research Challenges that this multi-facet project aims to address, including understanding commercial, regulatory, and institutional settings, understanding the value streams, understanding and deploying cross-vector interactions, developing suitable techno-economic models and understanding environmental impacts and social responses. Within the overall project this particular research will focus on Probabilistic techno-economic assessment of virtual storage plant (VSP) portfolios for dynamic and QoS services. It will assess in a probabilistic fashion the contribution from VSP portfolios to the provision of dynamic services (angular and frequency stability) and Quality of Electricity Supply (QoS). The concept of VSP will be used to model location-specific and network-constrained aspects of service provision in an aggregated fashion, potentially considering portfolios and coordinated control of thousands of devices across the system. An evaluation of the annual performance of VSP portfolios with respect to QoS and dynamic services will then be carried out in a probabilistic manner based on key portfolio attributes (e.g., size, ramping, etc). The potential contribution to provide different services will be summarised using look-up tables in the form of minimum, maximum and most likely contribution as a function of these attributes.
As an equal opportunities employer we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies
Enquiries about the vacancy, shortlisting and interviews:
Name: Professor Jovica V. Milanovic
Tel: 0161 306 8724
Tel: 0161 275 4499
This vacancy will close for applications at midnight on the closing date