This project (Energy decisions in time) will focus on decision-making related to the time variation of energy conversion and use. The initila focus will be on decisions required to balance a UK electricity system with increased intermittent power generation, new demands (e.g. electric vehicles and heat pumps) and use of ICTs.
Models of electricity sector decision-making are typically rational, which is a reasonable approximation for large firms, but problematic for smaller actors in demand side response, distributed generation and storage. Pricing may therefore be insufficient to secure optimal outcomes. This is relevant to the design of incentives in capacity markets. We will draw on empirical research, e.g. from the other projects in this programme and SuperGen HIDEF (Darby and McKenna 2012), to understand how decision making frameworks of different actors might interact. This work will interact strongly with the technical analysis of power systems (at national and local scales) in the Energy Systems at Multiple Scales programme. It will include new neighbourhood level fieldwork, including on networked appliances, and draw on analysis of interactions between DSR and demand reduction.