A spatial-techno-economic assessment modeling framework for optimal planning of rooftop photovoltaic systems in urban areas: the case of New Assiut City, Egypt

IF 5.9 Q2 ENERGY & FUELS

Renewable Energy Focus Pub Date : 2025-09-08 DOI:10.1016/j.ref.2025.100752

Mohammed Hussien Yadem Lamien , Hooman Farzaneh

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Abstract

Rooftop photovoltaic (PV) power generation can provide an efficient solution to urban energy needs, benefiting both individual homeowners and the broader community in urban areas. However, identifying suitable rooftop spaces and optimal planning of the rooftop PV systems requires a comprehensive approach. Unlike most previous studies that have concentrated on the technical aspects of rooftop PV systems, this study emphasizes both spatial and techno-economic factors. It explores how the optimal placement of rooftop PV systems can benefit customers and contribute to a more resilient and reliable energy system in newly constructed buildings. To this aim, this study presents a detailed methodology for determining the optimal placement of rooftop PV systems in newly constructed residential areas. By employing a mixed-integer linear programming (MILP) approach, the study aims to maximize the Net Present Value (NPV) of rooftop PV owners through strategically allocating solar PV panels in conjunction with designated central service areas, while adhering to spatial, technical, and economic constraints. The developed model is validated using site-specific data from a residential area, including 12 identical residential buildings in New West Assuit City, Egypt, a newly constructed but currently unoccupied district with significant solar energy potential. The results reveal that, with a latitude-based tilt angle of 27°, each building can support between 9 and 15 PV modules. In a scenario with 15% occupancy, up to 72% of the generated electricity can be sold back to the grid, resulting in the highest NPV. Conversely, a scenario with 100% occupancy leads to the lowest NPV due to the limited surplus energy available for export. Finally, a detailed sensitivity analysis is carried out to assess the impact of the tilt angle of PV panels and feed-in tariff (FiT) on NPV outcomes.

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城市屋顶光伏系统优化规划的空间-技术-经济评估建模框架：以埃及新阿西尤特市为例

屋顶光伏发电可以为城市能源需求提供有效的解决方案，使个人房主和城市地区更广泛的社区都受益。然而，确定合适的屋顶空间和屋顶光伏系统的最佳规划需要一个综合的方法。与以往大多数集中于屋顶光伏系统技术方面的研究不同，本研究强调空间和技术经济因素。它探讨了屋顶光伏系统的最佳布局如何使客户受益，并为新建建筑物提供更有弹性和更可靠的能源系统。为此，本研究提出了一种详细的方法来确定新建住宅区屋顶光伏系统的最佳位置。通过采用混合整数线性规划（MILP）方法，该研究旨在通过将太阳能光伏板与指定的中央服务区相结合，在遵守空间、技术和经济限制的同时，战略性地分配太阳能光伏板，从而最大化屋顶光伏业主的净现值（NPV）。开发的模型使用来自住宅区的特定地点数据进行验证，该住宅区包括埃及新西阿苏特市的12栋相同的住宅建筑，这是一个新建但目前无人居住的地区，具有巨大的太阳能潜力。结果表明，在纬度为27°的倾斜角度下，每栋建筑可以支持9到15个光伏模块。在占用率为15%的情况下，高达72%的发电量可以卖回电网，从而产生最高的净现值。相反，由于可用于出口的剩余能源有限，100%入住率的情景导致NPV最低。最后，进行了详细的敏感性分析，以评估光伏电池板倾斜角度和上网电价（FiT）对NPV结果的影响。

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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