TY - GEN
T1 - Optimization of a smart integrated renewable energy system for isolated rural villages using integer linear programming
AU - Masip, Yunesky
AU - Gil, Alejandro Fernandez
AU - Sanchez, Mariam Gomez
AU - Castro, Carlos
AU - Gonzalez, Suleivys M.Nunez
N1 - Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/10
Y1 - 2019/10
N2 - Providing energy to areas isolated from the electricity grid through the use of a smart integrated renewable energy system (SIRES) is based on the Agenda 2030 for Sustainable Development, specifically Goal 7, according to the United Nations (UN). This study analyzes the process of identifying the appropriate size of a SIRES considering technical and economic factors (cost of energy-COE). An optimization integer linear programming model proposed was used, and a subsequent spatial-temporal analysis of the different variables was conducted. The model comprises locally available renewable energy resources, such as biomass, biogas, wind power, solar photovoltaic, and thermal power. Furthermore, it could be used to determine the energy potential of each of the isolated villages, identifying those areas in which the SIRES could be implemented as a sustainable and economical solution. The design simulates the cost of the initial investment and energy generation in the chosen village. The study also includes the study case in the region of Valparaiso, Chile. Different scenarios were used to optimize the available resources and minimize the COE generation.
AB - Providing energy to areas isolated from the electricity grid through the use of a smart integrated renewable energy system (SIRES) is based on the Agenda 2030 for Sustainable Development, specifically Goal 7, according to the United Nations (UN). This study analyzes the process of identifying the appropriate size of a SIRES considering technical and economic factors (cost of energy-COE). An optimization integer linear programming model proposed was used, and a subsequent spatial-temporal analysis of the different variables was conducted. The model comprises locally available renewable energy resources, such as biomass, biogas, wind power, solar photovoltaic, and thermal power. Furthermore, it could be used to determine the energy potential of each of the isolated villages, identifying those areas in which the SIRES could be implemented as a sustainable and economical solution. The design simulates the cost of the initial investment and energy generation in the chosen village. The study also includes the study case in the region of Valparaiso, Chile. Different scenarios were used to optimize the available resources and minimize the COE generation.
KW - Cost of energy
KW - Integer linear programming
KW - Off grid electrification
KW - Optimization model
KW - Smart integrated renewable energy system
UR - http://www.scopus.com/inward/record.url?scp=85078205313&partnerID=8YFLogxK
U2 - 10.1109/IESTEC46403.2019.00-83
DO - 10.1109/IESTEC46403.2019.00-83
M3 - Conference contribution
AN - SCOPUS:85078205313
T3 - Proceedings - 2019 7th International Engineering, Sciences and Technology Conference, IESTEC 2019
SP - 161
EP - 166
BT - Proceedings - 2019 7th International Engineering, Sciences and Technology Conference, IESTEC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Engineering, Sciences and Technology Conference, IESTEC 2019
Y2 - 9 October 2019 through 11 October 2019
ER -
