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Renewable technologies for rural electrification in Colombia: a multiple objective approach

Renewable technologies for rural electrification in Colombia: a multiple objective approach Purpose – This study aims to present preliminary results from an integrated evaluation of electricity supply systems for rural areas using renewable energy technologies by means of a multi‐objective decision making method Design/methodology/approach – Goal programming is applied to obtain the optimal system configuration meeting the electricity demand, based on the location's resource availability and taking diesel generation as the alternative of reference. The performance of the system is evaluated through four attributes: electricity generation costs, employment and two environmental impacts (CO 2 emissions and land use). The model is designed for isolated rural area belonging to the non‐interconnected zones of Colombia. Findings – Application of the method showed that biomass conversion technology has the highest potential and that renewable energy systems offer better performance than diesel generation. Reductions of more than 10 percent in unit electricity costs, land use rates and CO 2 emissions can be achieved. Research limitations/implications – Inclusion of additional attributes and sensitivity analysis are matters of future research. Originality/value – The methodology used in this study is an alternative means to perform evaluation of electricity supply systems integrating several aspects of technology and which is flexible enough so as to enable the inclusion of a wider scope of interests towards energy access targets. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Energy Sector Management Emerald Publishing

Renewable technologies for rural electrification in Colombia: a multiple objective approach

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Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
1750-6220
DOI
10.1108/17506220810859132
Publisher site
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Abstract

Purpose – This study aims to present preliminary results from an integrated evaluation of electricity supply systems for rural areas using renewable energy technologies by means of a multi‐objective decision making method Design/methodology/approach – Goal programming is applied to obtain the optimal system configuration meeting the electricity demand, based on the location's resource availability and taking diesel generation as the alternative of reference. The performance of the system is evaluated through four attributes: electricity generation costs, employment and two environmental impacts (CO 2 emissions and land use). The model is designed for isolated rural area belonging to the non‐interconnected zones of Colombia. Findings – Application of the method showed that biomass conversion technology has the highest potential and that renewable energy systems offer better performance than diesel generation. Reductions of more than 10 percent in unit electricity costs, land use rates and CO 2 emissions can be achieved. Research limitations/implications – Inclusion of additional attributes and sensitivity analysis are matters of future research. Originality/value – The methodology used in this study is an alternative means to perform evaluation of electricity supply systems integrating several aspects of technology and which is flexible enough so as to enable the inclusion of a wider scope of interests towards energy access targets.

Journal

International Journal of Energy Sector Management – Emerald Publishing

Published: Apr 11, 2008

Keywords: Energy access; Renewable energy technologies; Decision making; Colombia; Energy supply systems; Rural regions; Electricity industry

References

  • Optimum utilization of renewable energy sources in a remote area
    Akella, A.K.; Sharma, M.P.; Saini, R.P.
  • Decision‐making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology
    Beccali, M.; Cellura, M.; Mistretta, M.
  • Energy supply for sustainable rural livelihoods. A multi‐criteria decision‐support system
    Cherni, J.A.; Dyner, I.; Henao, F.; Jaramillo, P.; Smith, R.; Olalde, R.