4.8 Article

Survey based characterisation of energy services for improved design and operation of standalone microgrids

Journal

RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 101, Issue -, Pages 493-503

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2018.11.016

Keywords

Energy access; Energy service; Microgrid; Energy service characterisation; Demand side management

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Microgrids for rural electrification are expected to play a key role in achieving global energy access goals. However, the high cost of stand-alone microgrids intended to serve generally poor communities remains a key barrier to their deployment, while design and operation is challenging, given generally low diversity of loads and generators, and often high penetrations of variable renewable generation. Current practices for providing electricity access still often focus on the supply side with an emphasis on ensuring the reliability, affordability and security of electricity supply to meet user demand. This supply focus misses some key opportunities on the demand-side for providing low cost and reliable energy service delivery. In particular, rural communities may place very different relative values on various energy services, while there may be considerable flexibility in terms of when some of these energy services are delivered; due to inherent energy storage in the end-use equipment, or user willingness to shift the energy service itself. This paper presents a novel characterisation framework for energy services based on their relative flexibility and consumer prioritisation. Detailed survey data from 154 households across five microgrid sites in Nepal is used to test this framework, and assess the potential insights that it can provide for microgrid designers and operators seeking to reduce costs and improve reliability when serving poor rural communities. The five microgrids represent very different energy services and microgrid technology contexts, yet all would appear to have demand-side management opportunities that can trade-off cost and reliability and prioritise loads according to user preferences.

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