Methodology for the Energy Need Assessment to Effectively Design and Deploy Mini-Grids for Rural Electrification

Valeria Gambino*, Riccardo Del Citto, Paolo Cherubini, Carlo Tacconelli, Andrea Micangeli*, Romano Giglioli

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)
3 Downloads (Pure)

Abstract

In order to successfully deploy a large number of decentralized energy systems in developing countries, it is necessary to standardize effective methodologies and procedures to develop off-grid/mini-grid systems. Considering that the energy need assessment provides inputs and assumptions used in business modelling and mini-grid design, the accuracy of its results directly affects the technical and financial feasibility studies. Thus, the approach for applying a proven methodology for the energy need assessment of rural communities is aimed at obtaining reliable input data for the mini-grid development. This helps in reducing both the financial challenges by mitigating the uncertainties in electricity demand and the technical challenges by contributing to adequately size off-grid power generation systems, with a view to boost toward a common overall objective of mini-grid’s optimization methods and tools. Hence, taking into consideration that target communities differ in terms of needs and context conditions, the proposed paper describes an inclusive methodology that can be adapted case-by-case. It provides an effective applied solution the lack of proven guidelines from project developers or literature, giving priority to data collection methods able to achieve a large sample representative of the market, with high accuracy in estimating the energy consumptions from electricity substitutes.
Original languageEnglish
Article number574
JournalEnergies
Volume12
Issue number3
DOIs
Publication statusPublished - 1 Feb 2019

Keywords

  • energy need assessment
  • mini-grid
  • off-grid
  • rural
  • electrification
  • methodology
  • rural development
  • access to energy
  • data collection
  • energy consumptions
  • demand profile

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