Dr Chun Sing Lai, Lecturer, Brunel Interdisciplinary Power Systems (BIPS) Research Centre, Professor Gareth Taylor, Director, BIPS Research Centre, Dr Mohamed Darwish, Reader, BIPS Research Centre, Brunel University London
BIPS Research Centre at Brunel University London delivers world-class research in power systems analysis for transmission and distribution networks, smart grids, and analysis of new energy markets.
Professor Giorgio Locatelli, Chair in Project Business Strategy, University of Leeds
Prof Locatelli received his PhD “Cum Laude” in Industrial engineering, economics, and management from Politecnico di Milano in 2011. His research area is project management in large and complex infrastructure. He is also a consultant and visiting academic for several institutions, including the International Atomic Energy Agency.
This evidence and the recommendations are based primarily upon findings derived from research activities conducted for Engineering and Physical Sciences Research Council, Standard Research Project EP/022049/1. The research project was focussed on utility-scale energy storage for low carbon electricity generation. The findings and recommendations are highly relevant to the call for evidence.
- Recommendation 1: Energy policy schemes should be enacted to support and protect the planning, development and operations of energy storage in related markets, in particular utility-scale energy storage in combination of low carbon electricity generation1 incentives.
- Recommendation 2: Generation Integrated Energy Storage (GIES) systems2 have been demonstrated as technically and economically viable energy storage options in achieving net zero. On that basis, GIES systems can be considered for storage of thermal and mechanical energy produced by solar and wind power.
- Recommendation 3: Price floor mechanisms as applied for carbon trading3 can also enhance energy storage economic viability and reduce electricity market volatility. Upfront subsidies required to meet the high upfront costs and long lifetimes of energy storage is needed with regard to currently expensive battery technologies.
- Recommendation 4: From a long-term (i.e., 5 to 20 years) perspective, mathematical models can be developed to analyse the technical and economic impacts on the wider energy system in terms of extensive installation of large-scale batteries.
Read the full paper here.