From Theory to Practice: Implementing PVsyst Modeling for Solar Power Plant Design, a case study of Iran

The increasing focus on renewable energy sources presents a viable alternative to non-renewable fossil fuels, with solar energy gaining particular attention. This research aims to identify and zone areas suitable for the construction of solar power plants in the neighborhoods of Islamabad and Shiroodi in Tonekabon city. This applied research employs a descriptive-analytical method. The study's statistical population consists of 30 experts in the field, from which 28 were selected as the sample using the Cochran formula. Data collection methods included questionnaires, field observations, and documentary studies. The data analysis for determining solar power plant locations utilized the IHWP (Inverse Hierarchy Analysis) method within GIS software, along with PVsyst modeling for rooftop and ground-mounted power plants. The research findings indicate that 26% of the city area is classified as very unsuitable for solar development, 23% as unsuitable, 20% as relatively suitable, 20% as suitable, and 11% as completely suitable, with the most favorable areas located primarily in the central part of the city. The Islamabad neighborhood shows greater potential for solar power plant construction, with 72.88% of its central area deemed suitable, compared to 27.11% in the southern area of Shiroodi. Specifically, identification code 54 in the Shiroodi neighborhood ranks first for suitability, while identification codes 26 and 27 in the Islamabad neighborhood follow in second place.