Examining Large-Scale Solar (LSS) Photovoltaic (PV) Operating Utilities by using Environmental Impact Screening (EIS)

IF 0.6 Q3 ENGINEERING, MULTIDISCIPLINARY Jurnal Kejuruteraan Pub Date : 2023-11-30 DOI:10.17576/jkukm-2023-35(6)-25
Siti Isma Hani Ismail, Nur Syaza Syazwiena Mohd Norman, N. Md Nor, Zulfairul Zakaria, Siti Hafizan Hassan
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Abstract

For Malaysia’s future energy needs, solar photovoltaic (PV) technology and farming is becoming a more costeffective option and technology in achieving Malaysia’s goal of having 31% renewable energy in its power mix by year 2025. Malaysia’s global climate commitment is to reduce its economy-wide carbon intensity (as a percentage of GDP) by 45% by 2030 compared to 2005 levels. Realizing the government’s vision is critical to assisting the country in meeting its Nationally Determined Contributions (NDC) targets (SEDA, 2022). Hence, this paper highlights the evaluation of an existing solar farm located at Seberang Perai Pulau Pinang, Malaysia as a case study to examine the potential environmental impact arising from of large-scale solar (LSS) PV development utilising the Analytic Hierarchy Process (AHP) under the Multi-Criteria Decision Making (MCDM) technique. The approach for this study was conducting in depth interviews with 16 people, including academics, authorities, and experts in the field. Large projects need to be evaluated to make sure that any potential problems are found and resolved early in the planning and design phases. This study considers the effects on the environment and chemicals (EC), as well as occupational safety (OSH) and economic impact (EI). AHP is then used to assess the data and utilized to produce the final component rankings. By showing the outcomes, the bar chart will aid in improved decision-making. The bar chart’s ability to display the results will help in the decision-making. From the results, LSS PV farm were conducive to achieving strong sustainability however in term of environmental degradation, mitigation action must be implemented on site to tackle the arising issues.
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利用环境影响筛选 (EIS) 对大型太阳能 (LSS) 光伏 (PV) 运营公用事业进行审查
为了满足马来西亚未来的能源需求,太阳能光伏(PV)技术和农业正成为一种更具成本效益的选择和技术,以实现马来西亚到 2025 年可再生能源在其电力结构中占 31% 的目标。马来西亚的全球气候承诺是,到 2030 年,将整个经济的碳强度(占国内生产总值的百分比)与 2005 年的水平相比降低 45%。实现政府的这一愿景对于帮助马来西亚实现其国家减排目标(SEDA,2022 年)至关重要。因此,本文以位于马来西亚槟榔屿的一个现有太阳能发电场为案例,利用多标准决策(MCDM)技术下的层次分析法(AHP),对大规模太阳能(LSS)光伏开发对环境的潜在影响进行了评估。本研究的方法是对 16 人进行深入访谈,其中包括学者、权威人士和该领域的专家。大型项目需要进行评估,以确保在规划和设计阶段及早发现并解决任何潜在问题。本研究考虑了对环境和化学品(EC)的影响,以及职业安全(OSH)和经济影响(EI)。然后使用 AHP 对数据进行评估,并得出最终的组成部分排名。通过显示结果,条形图有助于改进决策。条形图显示结果的能力将有助于决策。从结果来看,LSS 光伏发电场有利于实现较强的可持续性,但在环境退化方面,必须在现场实施缓解措施,以解决出现的问题。
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来源期刊
Jurnal Kejuruteraan
Jurnal Kejuruteraan ENGINEERING, MULTIDISCIPLINARY-
自引率
16.70%
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0
审稿时长
24 weeks
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