期刊
ENERGY STRATEGY REVIEWS
卷 33, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.esr.2020.100607
关键词
Energy mix system; LCOE; Probabilistic model; Uncertainty analysis
资金
- Korea Institute of Energy Technology Evaluation & Planning - Ministry of Trade, Industry and Energy [20194210200010]
- Korea Institute of Energy Research grant - Ministry of Science and ICT [C0-2407]
- Korea Evaluation Institute of Industrial Technology (KEIT) [20194210200010] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
This paper conducts a feasibility study on integrating renewable energy generation into the energy system of Popova Island, using the Monte Carlo method and the HOMER energy model. Multiple result scenarios are provided to stakeholders, showcasing the potential benefits of increased renewables and reduced electricity costs.
Given that the integration of renewable energy generation systems may have the potential to satisfy the electrical requirements of remote areas, this paper consists of a feasibility study with the focus on integrating renewable generation into the energy system of Popova Island. It adopts an analytical approach that consists in applying the Monte Carlo method, an energy systems model, and then evaluating the financial outcomes. In so doing, the approach takes into account the inherent uncertainties and risks of various input parameters. Thus, Multiple Monte Carlo-based parameterisations define scenarios that are fed into the Hybrid Optimization of Multiple Energy Resources (HOMER) energy model. The broad set of result scenarios can provide a valuable reference for stakeholders, and effectively communicate its potential for increased renewables, the resulting system configurations, and reduced electricity costs.
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