Relational spatial database and multi-criteria decision methods for selecting optimum locations for photovoltaic power plants in the province of Seville (southern Spain)

Díaz-Cuevas, Pilar; Naranjo, Juan Mariano Camarillo; Pérez-Alcántara, Juan Pedro

doi:10.1007/s10098-018-1587-2

Cited by 21 publications

(10 citation statements)

References 26 publications

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“…The AHP method was used to evaluate the weights of feasibility criteria that directly affect the performance of the solar system. A similar study was also presented in the work of Diaz-Cuevas et al [102], where spatial information instead of GIS was provided with the PostgreSQL-PostGIS database, which was based on Structured Query Language (SQL). The AHP method is used to determine the weights of the criteria.…”

Section: Energymentioning

confidence: 84%

Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

et al. 2019

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Sustainability is one of the main challenges of the recent decades. In this regard, several prior studies have used different techniques and approaches for solving this problem in the field of sustainability engineering. Multiple criteria decision making (MCDM) is an important technique that presents a systematic approach for helping decisionmakers in this field. The main goal of this paper is to review the literature concerning the application of MCDM methods in the field of sustainable engineering. The Web of Science (WoS) Core Collection Database was chosen to identify 108 papers in the period of 2008–2018. The selected papers were classified into five categories, including construction and infrastructure, supply chains, transport and logistics, energy, and other. In addition, the articles were classified based on author, year, application area, study objective and problem, applied methods, number of published papers, and name of the journal. The results of this paper show that sustainable engineering is an area that is quite suitable for the use of MCDM. It can be concluded that most of the methods used in sustainable engineering are based on traditional approaches with a noticeable trend towards applying the theory of uncertainty, such as fuzzy, grey, rough, and neutrosophic theory.

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Section: Energymentioning

confidence: 84%

Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

et al. 2019

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“…The growth of the solar PV market necessitates the development of a decision-making tool for efficient establishment and evaluation of investment strategies. However, previous research has mostly focused on technical aspects such as site selection [5][6][7][8][9][10][11][12][13][14][15][16][17], sustainability assessment [18][19][20][21], and solar PV technology selection [22][23][24][25]. Previous research on investment and policy aspects [26][27][28][29][30][31][32][33], feasibility study [34][35][36][37][38] and constructing investment indicators [39,40] is limited to the econometric analysis of parameters that affect the expansion of renewable power generation including solar PV.…”

Section: Introductionmentioning

confidence: 99%

Evaluation Model for Investment in Solar Photovoltaic Power Generation Using Fuzzy Analytic Hierarchy Process

Kim

2019

Sustainability

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Owing to rapid growth in the Asian solar photovoltaic (PV) power market, decision-making models are required to develop efficient investment strategies. Previous studies have largely focused on technological conditions and macroeconomic indicators, but not on the increasing needs of the financial sector. In this study, we developed an evaluation model of solar PV investment and financial factors at the project level. The model applies the fuzzy analytic hierarchy process and selects appropriate evaluation indicators for investment by emphasizing financial factors such as access to finance and exit strategies after the initial investment. Furthermore, we derived the relative importance of the indicators for each stakeholder. Stakeholder analysis enables comparison by quantifying the risks of each market participant. Economic factors (71.57%) were selected as the most important evaluation factors, followed by policy factors (16.26%), and technical factors (12.17%). Higher weights were assigned to indicators that directly affect profitability. Stakeholders showed significant differences in policy factors. Power generation companies showed higher weight values in policy factors than other groups. Quantification of differences in perceptions provides basic data for establishing effective investment strategies and developing policies. Therefore, the proposed model will contribute to more efficient solar PV project development.

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“…The literature informs that it is not advisable to install solar power plants near protected areas . The construction of solar power plants can indirectly impact birds that live close to that area, by destroying or degrading their habitat, causing the displacement of several species and also causing disturbances (during the construction and operation phases); all these points can affect the presence or even the reproduction of these animals …”

Section: Resultsmentioning

confidence: 99%

“…It is very important to make a correct evaluation of the site installation, as this will strongly influence the viability or not for the investment . The economic aspect of the photovoltaic project in a specific location depends on several factors, which characterize this point of view and that will be discussed next.…”

Section: Resultsmentioning

confidence: 99%

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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Relational spatial database and multi-criteria decision methods for selecting optimum locations for photovoltaic power plants in the province of Seville (southern Spain)

Cited by 21 publications

References 26 publications

Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

Evaluation Model for Investment in Solar Photovoltaic Power Generation Using Fuzzy Analytic Hierarchy Process

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

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