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Transformation of the Top and Tail of Energy Networks ‘Challenges in Creating a New Tail – The Last Mile Electric Network (Achieving change with users)’ Dr Ritsuko Ozaki, Innovation and Entrepreneurship Group, Imperial College Business School This project is part of a large research programme of an eight-university consortium. The consortium investigates two particular places in energy networks where existing network technology and infrastructure needs radical change to move us to a low carbon economy: the top and tail of network. This project focuses on the tail of the network (the ‘last mile’) where electricity is wired into user premises. Long-run scenarios of low carbon futures often envisage a large role for electric heat-pumps and vehicles post-2030; as a result, the local electrical distribution could become very heavily loaded. Remedying physically (e.g. digging up roads and laying new cables) could be expensive and disruptive. The challenge is to re-engineer the way in which the ‘last mile’ assets are used. One way of doing it is to relax the voltage. Many end-use devises are relatively tolerant to voltage variations. The consortium will assess technical issues and analyse the technical and economic benefits of relaxing voltage quality. We want to investigate user responses to the possible technical solutions, including how business users comprehend voltage quality. This project looks into user acceptability of this new energy service in the business context and seeks to understand how willing businesses users might be to adopt (or reject) and why they hold the views they do and explores challenges and opportunities in new energy service diffusion. The project also seeks to explore key engagement strategies to facilitate diffusion through understanding existing service expectation and levels required for new ‘last mile’ supply, and will explore user reactions to new business models that may to deliver environmental, social and economic value. The research employs both quantitative (e.g. questionnaire surveys with statistical analysis) and qualitative (e.g. focus groups and semi-structured interviews) methods.