Site Selection of Large Ground-Mounted Photovoltaic Plants: A GIS Decision Support System and an Application to Italy

Mondino, E. Borgogno; Fabrizio, Enrico; Chiabrando, Roberto

doi:10.1080/15435075.2013.858047

Cited by 44 publications

(16 citation statements)

References 55 publications

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“…Because of site selection of large ground-mounted PV plants, a GIS based model to identify the suitable areas for the installation of photovoltaic systems in Piedmont region, Italy was proposed by Borgogno Mondino et al [12]. Several criteria including qualitative and quantitative criteria were considered and Artificial Neural Network (ANN) was applied for the aggregation of the quantitative criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

et al. 2016

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Considering the geographical location and climatic conditions of Iran, solar energy can provide a considerable portion of the energy demand for the country. This study develops a two-step framework. In the first step, the map of unsuitable regions is extracted based on the defined constraints. In the next step, in order to identify the suitability of different regions, 11 defined criteria, including solar radiation, average annual temperatures, distance from power transmission lines, distance from major roads, distance from residential area, elevation, slope, land use, average annual cloudy days, average annual humidity and average annual dusty days, are identified. The relative weights of defined criteria and sub-criteria are also determined applying fuzzy analytical hierarchy process (FAHP) technique. Next, by overlaying these criteria layers, the final map of prioritization of different regions of Iran for exploiting solar photovoltaic (PV) plants is developed. Based on Iran's political divisions, investigation and analysis of the results have been presented for a total of 1057 districts of the country, where each district stands in one of the five defined classes of excellent, good, fair, low, and poor level. The obtained data indicate that 14.7% (237,920 km 2 ), 17.2% (278,270 km 2 ), 19.2% (311,767 km 2 ), 11.3% (183,057 km 2 ), 1.8% (30,549 km 2 ) and 35.8% (580,264 km 2 ) of Iran's area are positioned as excellent, good, fair, low, poor and unsuitable areas, respectively. Moreover, Kerman, Yazd, Fars, Sisitan and Baluchestan, Southern Khorasan and Isfahan are included in the regions as the most excellent suitable provinces for exploiting solar PV plants.

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Section: Literature Reviewmentioning

confidence: 99%

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

et al. 2016

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“…The conditions of the land must be considered at the moment of the choice since a solar power plant occupies large areas. The agrological capacity consists of soil productivity potential . In regard to the best location for renewable installations, the land must have a low suitability for the development of agriculture .…”

Section: Resultsmentioning

confidence: 99%

“…The agrological capacity consists of soil productivity potential. 31 In regard to the best location for renewable installations, the land must have a low suitability for the development of agriculture. 40 The adequacy of land for agricultural development is when the area has a good agrological capacity and therefore is not an ideal territory to have a power plant.…”

Section: Agrological Capacitymentioning

confidence: 99%

“…The slope of the terrain influences the incoming radiation; that is, the flatter the slope, the greater the amount of solar radiation received, and the greater the site's suitability for the installation of the photovoltaic system. The 0.92 Distance of transmission lines 1,2,6,16,19,20,23,29,30,33,37-42,44,45,47,48 20 9.22 Distance from substations 20,30,36,[38][39][40][41][42] 8 3.69 Distance from protected areas 1,19,23,29,31,38 6 2.76 Distance from residential areas 1,2,6,19,23,[36][37][38][39][40][41][42][44][45][46][47] 16 7.37 Distance from water resources 16,19,20,30,33,37 6 2.76 Population density 16,19,30,[32][33][34]38…”

Section: Slope (Land Slope)mentioning

confidence: 99%

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Determinant factors in site selection for photovoltaic projects: A systematic review

et al. 2018

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Summary The choice of great places for installation of solar power plants has become a key issue in terms of project planning because of the increased number of investments in the photovoltaic sector. This study is a systematic review of the literature that seeks to identify the determining factors in choosing the best location for solar photovoltaic power plants, through previous research on the application of renewable energy technologies in great contexts of location. Among a total of 130 academic studies filtered by the keywords “photovoltaic energy,” “power plants,” “location,” and “factor” on the bases ScienceDirect, Scopus, Web of Science, and IEEE, a total of 27 studies were identified. These articles were carefully explored, including years of publication, countries of origin, and identification of factors that each author demonstrated. It has been extracted 28 factors, organized in six points of view: socioenvironmental, location, economic, political, climatic, and orographic. It was verified that the determining factors for choosing the best locations are solar irradiation, substation distance, slope, distance of roads, distance from urban areas, and land use. The results of this research may assist academic students and investors in identifying factors that they should consider in their decision making and may also assist in the efficient planning of renewable energy management to ensure the sustainable development of power generation through the photovoltaic source.

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“…Chiabrando et al emphasized the territorial and landscape impacts (mainly, a visual impact evaluation was presented) of photovoltaic systems by geographical information systems (GIS) and daylighting software tools, which assessed the risk of glare by the reflection of direct sunlight from the surface of photovoltaic cells. Mondino et al [17,18] summarized four different types of documents regarding the evaluation of the site and used GIS to select a suitable site for photovoltaic plants, but actual landscape assessment was not studied. However, the authors noted that landscape assessment of a new photovoltaic plant should be made with GIS spatial analyses and with other software tools and techniques (for example, picture analysis).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Photovoltaic Applications on Urban Landscapes Based on Visual Q Methodology

2018

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Abstract:In recent years, the installation of photovoltaic systems in China has increased steadily to gradually become large-scale, having a significant impact on the urban landscape. Research on this impact mostly focuses on visual impact and glare risk. However, differences in urban land use types may lead to differences in the impact of photovoltaic applications on the landscape. This study adapts visual Q methodology to assess the impact of photovoltaic applications on the landscape in urban areas. Landscape photographs of photovoltaic applications in different cities of China are collected and used during the concourse and Q sorting. The final Q sample is composed of 36 photographs of different photovoltaic materials at different levels of integration in six urban land use types. The P set is composed of 36 respondents, including experts and non-experts. In conclusion, environmental harmony, power generation, innovative design, installation height, and social benefits of photovoltaic systems are the main impacts of photovoltaic systems on urban landscapes. Photovoltaic systems in different urban land use types have different impacts on the landscape. The conclusions have policy implications for different urban land use types, which has significance for the construction of urban photovoltaic systems in the future.

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Site Selection of Large Ground-Mounted Photovoltaic Plants: A GIS Decision Support System and an Application to Italy

Abstract: Post-print of the article: Site selection of large ground-mounted photovoltaic plants: a GIS decision support system and an application to Italy

Cited by 44 publications

References 55 publications

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

Land Suitability Analysis for Solar Farms Exploitation Using GIS and Fuzzy Analytic Hierarchy Process (FAHP)—A Case Study of Iran

Determinant factors in site selection for photovoltaic projects: A systematic review

The Impact of Photovoltaic Applications on Urban Landscapes Based on Visual Q Methodology

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