A Low Cost Shading Analyzer and Site Evaluator Design to Determine Solar Power System Installation Area

Kesler, Selami; Kivrak, Sinan; Gurleyen, Hilmi; Dinçer, Furkan; Yılmaz, Şaban; Özçalık, Hasan Rıza

doi:10.1155/2015/126373

Cited by 9 publications

(2 citation statements)

References 15 publications

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“…Pinpointing optimal sites for solar farms involves diverse methodologies, such as MCDA (a technique for order of preference by similarity to an ideal solution (TOPSIS), ordered weight averaging (OWA), and fuzzy AHP) [11], solar resource assessment [73], viewshed analysis [74], solar pathfinder analysis [75], Boolean-fuzzy logic model [61], the Dempster-Shafer method [76], and many more. Integrating machine learning and AI algorithms [77] also proves advantageous for renewable energy planning and microgrid development.…”

Section: Discussionmentioning

confidence: 99%

Suitability Analysis Using GIS-Based Analytic Hierarchy Process (AHP) for Solar Power Exploration

Gacu,

Garcia,

Fetalvero

et al. 2023

Energies

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Sibuyan Island is experiencing a significant increase in electricity demand due to population growth, urbanization, and industrial development. The island plans to use solar energy, recognizing its abundance and renewable nature; thus, this study was conducted to visualize the spatial distribution of solar exploration suitability using a geographic information system (GIS). Various criteria, including climatology, location, geography, meteorology, and disaster susceptibility, were considered in the assessment. Parameters affected by government policies, such as protected areas, proximity to rivers, roads and faults, ancestral domains, and proclaimed watersheds, were also considered. Parameters were weighted, and suitability levels were highlighted using AHP. The study revealed that about 5.88% (2674.06 km2) of the island was categorized as highly suitable for a solar farm, 34.99% (15,908.21 km2) as suitable, 2.49% (1129.95 km2) as moderately suitable, and the majority, 56.64% (25,754.47 km2), was considered not suitable for solar projects. A solar power suitability map was developed as a reference for local governments and residents in establishing solar PV systems in their respective sites, thus maximizing the full potential of their land. The study also directs future solar power exploration studies in Sibuyan Island, supporting ongoing efforts to maximize solar energy utilization.

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Section: Discussionmentioning

confidence: 99%

Suitability Analysis Using GIS-Based Analytic Hierarchy Process (AHP) for Solar Power Exploration

Gacu,

Garcia,

Fetalvero

et al. 2023

Energies

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show abstract

“…[1][2][3][4][5] Solar energy is one of the most important environment-friendly, carbon-free, and cost effective "green energy sources." Nonrenewable conventional energy sources such as oil, natural gas, and coal pose a threat to the environment and human health and their amounts decrease on a daily basis.…”

Section: Introductionmentioning

confidence: 99%

Remote detection and assessment of solar energy potential analysis based on available roof surface area: case study in Kahramanmaras, Turkey

Yılmaz

Özçalık

Dinçer

2015

J. Appl. Remote Sens

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Renewable energy has started to receive increasing attention due to various factors, such as scarcity of existing energy sources, high costs, global climate problems, etc. In this respect, solar energy has recently witnessed rapid developments due to its unlimited, carbon-free, environment-friendly, cost effective, and feasible nature. However, large pieces of land are necessary in order to install photovoltaic systems. Therefore, protection of arable lands and measurement of roof potentials are of vital importance in terms of reducing environmentfriendly and renewable energy costs. Potential values of building roofs in Kahramanmaras province are calculated in detail thanks to various software and programs. Findings indicate that photovoltaic panels, which can generate a total amount of 430.348 MWp, can be installed on building roofs in Kahramanmaras province. Analysis of various parameters such as shading effect, safety factors, required usage area on the roofs, and tilt are also included in the calculations. This installed power may annually supply 693,977,463 kWh (≈694 GWh) for the region in question. In addition, CO 2 emission may be reduced by 18,541.975 tons. This study sets an example for other regions and thus can also be performed for them. Downloaded From: http://remotesensing.spiedigitallibrary.org/ on 07/11/2015 Terms of Use: http://spiedl.org/termsFig. 2 Geographic demonstration of the selected region.Yilmaz, Ozcalik, and Dincer: Remote detection and assessment of solar energy potential analysis.

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Increasing the Solar Share in Electricity Production in the Built Environment

Vişa

Duţă

Moldovan

et al. 2020

Green Energy and Technology

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A Low Cost Shading Analyzer and Site Evaluator Design to Determine Solar Power System Installation Area

Cited by 9 publications

References 15 publications

Suitability Analysis Using GIS-Based Analytic Hierarchy Process (AHP) for Solar Power Exploration

Suitability Analysis Using GIS-Based Analytic Hierarchy Process (AHP) for Solar Power Exploration

Remote detection and assessment of solar energy potential analysis based on available roof surface area: case study in Kahramanmaras, Turkey

Increasing the Solar Share in Electricity Production in the Built Environment

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