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
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Giacomo Falchetta: Fondazione Eni Enrico Mattei (FEEM) and Cattolica University
Nicolò Stevanato: Fondazione Eni Enrico Mattei (FEEM) and Politecnico di Milano, Department of Energy
Magda Moner-Girona: European Commission, Joint Research Centre (JRC)
Davide Mazzoni: Fondazione Eni Enrico Mattei (FEEM)
Emanuela Colombo: Politecnico di Milano, Department of Energy
Manfred Hafner: Fondazione Eni Enrico Mattei (FEEM), John Hopkins University SAIS and Sciences Po PSIA

No 2020.09, Working Papers from Fondazione Eni Enrico Mattei

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: Electricity Access; Energy Demand; Rural Development; Bottom-up Modelling; Sub-Saharan Africa; Multi-sectoral Approach; Water-Energy-Food-Environment Nexus (search for similar items in EconPapers)
JEL-codes: O13 Q4 Q41 (search for similar items in EconPapers)
Date: 2020-08
New Economics Papers: this item is included in nep-agr and nep-ene
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