Optimal energy mix with renewable penetration for Masirah Island, Oman

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES
Abdullah Al Badi, Arif S. Malik
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引用次数: 0

Abstract

ABSTRACTElectrical power generation in Oman depends mainly on natural gas, while in rural areas it is based mainly on diesel fuel. Oman has committed to net-zero emissions by 2050, in line with the Paris Agreement’s goal of limiting global warming to 1.5°C. The objective of this paper is to propose an optimal energy mix model for electricity generation from various energy sources, such as gas, diesel, wind, and photovoltaic, that considers more renewable sources in the energy mix. The optimization model minimizes various costs such as construction cost, operation cost, fuel cost, and carbon emissions, while satisfying the load demand. In this paper, Masirah Island is selected to perform our analysis. Several scenarios are contemplated, including grid extension to the island. The results found that gas-powered generators with 20% PV and storage are the best option in terms of the levelized cost of electricity. The grid extension is an economically feasible option if the existing load is more than doubled.KEYWORDS: OmanMasirah Islandrural areasrenewable sourcesenergy mixgrid extension Disclosure statementNo potential conflict of interest was reported by the author(s).Authors’ contributions Al Badi wrote the paper and did Homer AnalysisMalik wrote the optimization part and did the grid analysisBoth of them reviewed the paperAvailability of data and materialsThe datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
阿曼马西拉岛可再生能源渗透的最佳能源结构
阿曼的发电主要依靠天然气,而在农村地区主要依靠柴油。阿曼承诺到2050年实现净零排放,符合《巴黎协定》将全球变暖限制在1.5°C的目标。本文的目标是针对多种能源(如天然气、柴油、风能和光伏)的发电,提出一种考虑能源结构中更多可再生能源的最优能源结构模型。该优化模型在满足负荷需求的前提下,使建设成本、运行成本、燃料成本、碳排放等各项成本达到最小。本文选择马西拉岛进行分析。考虑了几种情况,包括将电网扩展到岛屿。结果发现,就电力成本而言,具有20%光伏和存储的燃气发电机是最佳选择。如果现有负荷增加一倍以上,电网扩展在经济上是可行的选择。关键词:阿曼马西拉岛农村地区可再生能源混合电网扩展披露声明作者未报告潜在利益冲突。作者的贡献Al Badi撰写了论文并进行了Homer analysis, malik撰写了优化部分并进行了网格分析,他们都对论文进行了审查。数据和材料的可用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
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