期刊
ENERGIES
卷 16, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/en16031328
关键词
hybrid energy systems; sustainable rural development; energy systems modeling; off-grid systems; energy poverty
Hybrid Renewable Energy Systems (HRESs) are viable solutions for rural electrification, providing environmentally sustainable and affordable energy. Optimized HRESs minimize the levelized cost of electricity and carbon emissions, generating affordable electricity. Computational tools are important for optimizing HRESs and considering social parameters.
Hybrid Renewable Energy Systems (HRESs) have proven to be viable solutions for rural electrification. They not only electrify rural locations but also provide environmentally sustainable, secure, and affordable energy if optimized. These systems can best be described as generators of electricity from multiple energy sources that complement each other. Optimized HRESs often generate affordable electricity by minimizing the levelized cost of electricity (LCOE) and carbon emissions. The investigation of social benefit factors within energy poverty is a relatively new discussion in the study of modeling off-grid energy systems. In this perspective article, we examine the importance of computational tools for the energy transition of rural and remote communities. We show that classical and heuristic models possess the capability of optimizing hybrid renewable energy systems considering social parameters including health, education, and income. This is followed by a discussion about the potential changes these computational tools would need to go through to integrate interdisciplinary factors and address societal transformations. The essence of this paper showcases the influx of literature about this topic; additionally, we look beyond the traditional optimization approaches to disclose that new contributions are evolving based on both current and potential needs within society.
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