NERA is pleased to sponsor the British Institute of Energy Economics (BIEE) Research Conference on 23–24 September at Worcester College, Oxford. For 30 years, the BIEE has hosted debates on UK energy issues, linking research, policy, and outcomes. Senior Managing Directors George Anstey and Richard Druce, Director Michael Dawes, and Senior Consultants Joel Davis and Zoë Fannon will speak at the 2025 BIEE Conference.

Michael Dawes

Mr. Dawes will present “Charging Ahead: Rethinking Transmission Tariffs to Reflect the Costs of Renewable Integration.” In this white paper, Mr. Dawes notes transmission costs associated with integrating renewables are not driven by the need to meet peaks in demand, so using peak demand charges (or standing charges) to recover costs may not be cost reflective. Instead, transmission costs are driven by the need to serve customers’ energy demand from low carbon generation resources. Mr. Dawes concludes well-designed energy-based charges may efficiently recover the transmission infrastructure costs driven by renewable integration. Such charges can be cost-reflective and adhere to the beneficiary pays principle of tariff design. 

Joel Davis

Mr. Davis will present “Rekindling Old Emissions Trading Flames—Impacts and Policy Lessons for a Link Between the UK and EU ETSs.” With the UK and EU having recently agreed to explore linking their emissions trading schemes, Mr. Davis will discuss the potential impacts to different sectors and key considerations for policymakers negotiating a link. His insights are underpinned by his time leading the BEIS analytical team responsible for the evidence that supported the design and implementation of the UK Emissions Trading Scheme (UK ETS).

Zoë Fannon  

Dr. Fannon will deliver the presentation “Heat to Power: Modelling Peak Gas Demand Through the Energy Transition.” Her presentation will highlight key findings from a NERA project on the econometric modelling of demand on the gas transmission network. NERA found that including renewable electricity generation as a driver of gas demand from gas-fired power stations improves the accuracy of the econometric model, looking at data over a 13-year period.