Energy Supply System Modeling Tools Integrating Sustainable Livelihoods Approach—Contribution to Sustainable Development in Remote Communities: A Review

The fulfillment of the sustainable development goals of the United Nations (UN) in remote communities undoubtedly goes through the consequent development of the energy supply system (ESS). Structuring a procedure for modeling the ESS, according to development requirements, is vital for decision maki...

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Main Authors: Carlos Pereyra-Mariñez, Félix Santos-García, Víctor S. Ocaña-Guevara, Alexander Vallejo-Díaz
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/7/2668
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author Carlos Pereyra-Mariñez
Félix Santos-García
Víctor S. Ocaña-Guevara
Alexander Vallejo-Díaz
author_facet Carlos Pereyra-Mariñez
Félix Santos-García
Víctor S. Ocaña-Guevara
Alexander Vallejo-Díaz
author_sort Carlos Pereyra-Mariñez
collection DOAJ
description The fulfillment of the sustainable development goals of the United Nations (UN) in remote communities undoubtedly goes through the consequent development of the energy supply system (ESS). Structuring a procedure for modeling the ESS, according to development requirements, is vital for decision making. This publication reviews the main methods for designing local development programs that apply a sustainable livelihoods approach and a group of modeling tools for ESS. The necessary criteria are verified to structure a model that integrates the expectations of sustainable development, through the indicators of sustainable livelihoods (SLs), with the requirements of the ESS and the use of available renewable energy resources. In the review carried out, it is found that the methods of analysis and planning of sustainable local development are disconnected from the models for energy planning. On the other hand, the relationship of the indicators for calculating SLs with the characteristics and behavior of energy demand with respect to time is verified. The main criteria, parameters, and optimization methods necessary for the design and expansion of ESS in hard-to-reach areas are also discussed. Lastly, the necessary elements are proposed to be validated through a future study case for the dimensioning and expansion of ESS in hard-to-reach communities, integrating the analysis of development programs based on SLs.
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spelling doaj.art-89402497ffb24daab983d23ef1f954ee2023-11-30T23:13:31ZengMDPI AGEnergies1996-10732022-04-01157266810.3390/en15072668Energy Supply System Modeling Tools Integrating Sustainable Livelihoods Approach—Contribution to Sustainable Development in Remote Communities: A ReviewCarlos Pereyra-Mariñez0Félix Santos-García1Víctor S. Ocaña-Guevara2Alexander Vallejo-Díaz3Instituto Tecnológico de Santo Domingo (INTEC), Santo Domingo 10602, Dominican RepublicInstituto Tecnológico de Santo Domingo (INTEC), Santo Domingo 10602, Dominican RepublicInstituto Tecnológico de Santo Domingo (INTEC), Santo Domingo 10602, Dominican RepublicInstituto Tecnológico de Santo Domingo (INTEC), Santo Domingo 10602, Dominican RepublicThe fulfillment of the sustainable development goals of the United Nations (UN) in remote communities undoubtedly goes through the consequent development of the energy supply system (ESS). Structuring a procedure for modeling the ESS, according to development requirements, is vital for decision making. This publication reviews the main methods for designing local development programs that apply a sustainable livelihoods approach and a group of modeling tools for ESS. The necessary criteria are verified to structure a model that integrates the expectations of sustainable development, through the indicators of sustainable livelihoods (SLs), with the requirements of the ESS and the use of available renewable energy resources. In the review carried out, it is found that the methods of analysis and planning of sustainable local development are disconnected from the models for energy planning. On the other hand, the relationship of the indicators for calculating SLs with the characteristics and behavior of energy demand with respect to time is verified. The main criteria, parameters, and optimization methods necessary for the design and expansion of ESS in hard-to-reach areas are also discussed. Lastly, the necessary elements are proposed to be validated through a future study case for the dimensioning and expansion of ESS in hard-to-reach communities, integrating the analysis of development programs based on SLs.https://www.mdpi.com/1996-1073/15/7/2668sustainable livelihoodsenergy managementisolated microgridsrenewable energyenergy system optimization
spellingShingle Carlos Pereyra-Mariñez
Félix Santos-García
Víctor S. Ocaña-Guevara
Alexander Vallejo-Díaz
Energy Supply System Modeling Tools Integrating Sustainable Livelihoods Approach—Contribution to Sustainable Development in Remote Communities: A Review
Energies
sustainable livelihoods
energy management
isolated microgrids
renewable energy
energy system optimization
title Energy Supply System Modeling Tools Integrating Sustainable Livelihoods Approach—Contribution to Sustainable Development in Remote Communities: A Review
title_full Energy Supply System Modeling Tools Integrating Sustainable Livelihoods Approach—Contribution to Sustainable Development in Remote Communities: A Review
title_fullStr Energy Supply System Modeling Tools Integrating Sustainable Livelihoods Approach—Contribution to Sustainable Development in Remote Communities: A Review
title_full_unstemmed Energy Supply System Modeling Tools Integrating Sustainable Livelihoods Approach—Contribution to Sustainable Development in Remote Communities: A Review
title_short Energy Supply System Modeling Tools Integrating Sustainable Livelihoods Approach—Contribution to Sustainable Development in Remote Communities: A Review
title_sort energy supply system modeling tools integrating sustainable livelihoods approach contribution to sustainable development in remote communities a review
topic sustainable livelihoods
energy management
isolated microgrids
renewable energy
energy system optimization
url https://www.mdpi.com/1996-1073/15/7/2668
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