对屋顶光伏系统的满意度以及上网电价对约旦能源和环境目标的影响

Processes Pub Date : 2024-06-07 DOI:10.3390/pr12061175
A. Al-Refaie, N. Lepkova
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引用次数: 0

摘要

屋顶光伏(RPV)系统是一项宝贵的清洁能源高效技术,可促进住宅建筑向能源可持续性转型。因此,约旦政府实施了上网电价(FiT)政策,以激发居民安装 RPV 系统的意愿。然而,热电联产产品和服务的质量是决定社会是否接受安装热电联产系统的关键因素。因此,制造商和供应商正与采用者密切合作,设计和制造满足或超过他们期望的热电联产系统。尽管如此,仍有必要进行量化评估,以研究该 FiT 政策和热电联产系统质量对能源安全的影响。因此,本研究建立了一个系统动力学模型,以考察 FiT 政策以及热电联产产品和服务的质量对安装热电联产系统的社会接受度的影响。为实现这一目标,研究人员建立了几个与主要模型因素相关的假设,包括服务质量、投诉减少、性能比、投资回收期和保修期、FiT 价格以及安装 RPV 系统的意愿。然后,构建了一个系统动力学模型。模拟结果显示了影响能源目标的重要因素。此外,从 2030 年底到 2050 年底,RPV 安装量、发电量和二氧化碳减排量预计将分别从 0.681 GW 增加到 72.83 GW,从 1.07 TWh 增加到 125.74 TWh,二氧化碳排放量从 0.680 吨增加到 7959 万吨。在关键模型变量不确定的情况下,为使三个目标最大化进行了优化。最佳因子值可将当前的能源目标大幅提高约 20%。总之,收集、分析和评估采用者对热电联产系统在设计、技术和制造方面的意见和反馈,以及热电联产系统的后期服务,会对住宅建筑的能源可持续性产生重大影响。此外,政府通过投资 FiT 政策提供支持,可促进住宅建筑中的 RPV 安装。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Satisfaction with Rooftop Photovoltaic Systems and Feed-in-Tariffs Effects on Energy and Environmental Goals in Jordan
Rooftop photovoltaic (RPV) systems are valuable clean-energy-efficient technology that facilitates the transition toward energy sustainability in residential buildings. Hence, the government in Jordan implemented the feed-in-tariffs (FiT) policy to motivate residents’ willingness to install RPV systems. However, the quality of RPV products and services is a key determinant of social acceptance to install RPV systems. Hence, manufacturers and suppliers are working closely with adopters to design and manufacture RPV systems that meet or exceed their expectations. Still, there is a need to develop a quantitative assessment to examine the effects of this FiT policy and the quality of RPV systems on energy security. This study, therefore, develops a system dynamics model to examine the effects of the FiT policy and the quality of RPV products and services on social acceptance to install RPV systems. To achieve this objective, several hypotheses were established related to the main model factors, including the quality of services, complaint reduction, performance ratio, payback period and warranty, and FiT price, with a willingness to install RPV systems. Then, a system dynamics model was constructed. The simulation results reveal the significant factor that impacts energy goals. Moreover, from the end of the year 2030 to the end of 2050, RPV installations, generated power, and CO2 emission reductions are expected to increase from 0.681 GW to 72.83 GW, from 1.07 to 125.74 TWh, and from 0.680 to 79.59 million tons of CO2, respectively. Optimization was performed to maximize the three objectives under the uncertainty of key model variables. The optimal factor values can significantly increase the current energy goals by about 20%. In conclusion, collecting, analyzing, and evaluating adopter input and feedback on RPV systems regarding their design and technology and manufacturing and the post-services of RPV systems significantly influence energy sustainability in residential buildings. In addition, government support through investing in the FiT policy can boost RPV installations in residential buildings.
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