M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning

Giacomo Falchetta, Nicolò Stevanato, Magda Moner-Girona, Davide Mazzoni, Emanuela Colombo and Manfred Hafner

No 305213, FEP: Future Energy Program from Fondazione Eni Enrico Mattei (FEEM) > FEP: Future Energy Program

Abstract: Globally about 800 million people live without electricity at home, over two thirds of which are in sub-Saharan Africa. Ending energy poverty is a key development priority because energy plays an enabling role for human wellbeing and economic activities. Planning electricity access infrastructure and allocating resources efficiently requires a careful assessment of the diverse energy needs across space, time, and sectors. However, because of data scarcity, most country or regional-scale electrification planning studies have been based on top-down electricity demand targets. Yet, poorly representing the heterogeneity in the electricity demand can lead to inappropriate energy planning, inaccurate energy system sizing, and misleading cost assessments. Here we introduce M-LED, Multi-sectoral Latent Electricity Demand, a geospatial data processing platform to estimate electricity demand in communities that live in energy poverty. The key novelties of the platform are the multi-sectoral, bottom-up, time-explicit demand evaluation and the assessment of water-energy-agriculture-development interlinkages. We apply the methodology to the country-study of Kenya. Our findings suggest that a bottom-up approach to evaluating energy needs across space, time, and sectors is likely to improve the reliability and accuracy of supply-side electrification modelling and therefore of electrification planning and policy.

Keywords: Resource/Energy; Economics; and; Policy (search for similar items in EconPapers)
Pages: 69
Date: 2020-09-15
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Persistent link: https://EconPapers.repec.org/RePEc:ags:feemfe:305213

DOI: 10.22004/ag.econ.305213

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