期刊
MATHEMATICS
卷 9, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/math9010039
关键词
mathematical programming; optimization model; energy system; renewable energy; cost of energy; greenhouse emissions
类别
资金
- CONICYT-PFCHA [Doctorado Nacional/2017-21171857]
- Proyectos de Linea de Investigacion Regular (UTFSM) [PI_LIR_2020_67]
- Programa de Incentivo a la Iniciacion Cientifica (PIIC, UTFSM)
- Universidad Tecnica Federico Santa Maria, Chile
- School of Mechanical Engineering at the Pontificia Universidad Catolica de Valparaiso (PUCV)
- Thermal Sciences and Fluids Department, Federal University of Sao Joao del-Rei (USFJ)
- [ANID-PFCHA/Doctorado Nacional/2020-21200871]
This study is based on a real case study of a remote village, proposing a mathematical optimization model to use various renewable energy sources to meet local needs, evaluating different scenarios in terms of economic costs, the viability of biomass and biogas resources, and the high costs associated with wind power generation.
The generation of energy from renewable sources is a fundamental aspect for the sustainable development of society, and several energy sources such as solar, biomass, biogas, and wind must be used to the maximum to meet existing needs. In Chile, there are villages that are off-grid. A real case study is presented in this research. To meet the needs of this village we have proposed a mathematical optimization model using a CPLEX optimizer to generate the necessary energy power while minimizing the cost of energy (COE). In this study, different scenarios have been evaluated with respect to the existing energy availabilities, for example, in different periods of the year, demonstrated in terms of economic costs, the viability of resources such as biomass and biogas, and the viability of the energy production of wind power given the associated high costs. Finally, the effect of the use of renewable energy in consideration of CO2 emissions is studied in our research.
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