Comparative TOPSIS-ELECTRE TRI methods for optimal sites for photovoltaic solar farms. Case study in Spain

Sánchez-Lozano, Juan Miguel; García-Cáscales, M. Socorro; Lamata, María Teresa

doi:10.1016/j.jclepro.2016.04.005

Cited by 158 publications

(69 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In regard to the best location for renewable installations, the land must have a low suitability for the development of agriculture . 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 . Consequently, it should be ensured that the selected land has a low agricultural production capacity …”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

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

et al. 2018

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 99%

“…The solar radiation corresponds to the amount of solar energy that a surface of the soil receives during a certain period of time . Several authors quote the radiation as the most important parameter in the indication of potential areas for solar power plant installation .…”

Section: Resultsmentioning

confidence: 99%

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

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The Technique for Order Performance by Similarity to Ideal Solution, known as TOPSIS, was first introduced by Hwang & Yoon17 and is one of the classical MCDM procedures3334. This approach selects an optimal alternative that presents the shortest distance from the positive ideal solution (PIS) and the farthest distance from the negative ideal solution (NIS).…”

Section: Methodsmentioning

confidence: 99%

Near-Earth object hazardous impact: A Multi-Criteria Decision Making approach

Sánchez-Lozano¹,

Fernández–Martínez²

2016

Sci Rep

View full text Add to dashboard Cite

The impact of a near-Earth object (NEO) may release large amounts of energy and cause serious damage. Several NEO hazard studies conducted over the past few years provide forecasts, impact probabilities and assessment ratings, such as the Torino and Palermo scales. These high-risk NEO assessments involve several criteria, including impact energy, mass, and absolute magnitude. The main objective of this paper is to provide the first Multi-Criteria Decision Making (MCDM) approach to classify hazardous NEOs. Our approach applies a combination of two methods from a widely utilized decision making theory. Specifically, the Analytic Hierarchy Process (AHP) methodology is employed to determine the criteria weights, which influence the decision making, and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is used to obtain a ranking of alternatives (potentially hazardous NEOs). In addition, NEO datasets provided by the NASA Near-Earth Object Program are utilized. This approach allows the classification of NEOs by descending order of their TOPSIS ratio, a single quantity that contains all of the relevant information for each object.

show abstract

“…Various MCDM methods have been adopted in various decision making situations, such as analytical hierarchy process (AHP; Ren, Manzardo, Mazzi, Zuliani, & Scipioni, 2015;Sambasivan & Fei, 2008;Thanki, Govindan, & Thakkar, 2016;Tseng, Lin, & Chiu, 2009), ELECTRE (Hatami-Marbini & Tavana, 2011Kaya & Kahraman, 2011a;Wen, Yu, & Yan, 2016), TOPSIS (Joshi & Kumar, 2016;Kaya & Kahraman, 2011b;Kluczek & Gladysz, 2015), and PROMETHEE (Arıkan, Şimşit-Kalender, & Vayvay, 2017;Athawale & Chakraborty, 2010;Ren et al, 2016). These methods are either adopted solely or combined together with other MCDM methods to take full advantage of different methods (Chauhan & Singh, 2016;Kaya & Kahraman, 2010;Sánchez-Lozano, García-Cascales, & Lamata, 2016;Sreekumar & Rajmohan, 2018). In this study, AHP and ELECTRE method were integrated; specifically, the weights of the assessment criteria are determined through AHP procedure utilizing consistent fuzzy preference relations (CFPR), and ranking of alternatives is obtained using fuzzy ELECTRE III method.…”

Section: Introductionmentioning

confidence: 99%

Towards sustainability‐oriented decision making: Model development and its validation via a comparative case study on building construction methods

Liu

Qian

2019

Sustainable Development

View full text Add to dashboard Cite

In order to facilitate the shift towards sustainability in the building industry, development of building‐specific sustainability assessment tools that evaluate and integrate related environmental and socioeconomic impacts is needed. Existing assessment tools mainly focus on environmental and economic issues and give limited consideration on social sustainability. This study fills this gap through proposing an integrated building‐specific sustainability assessment model. This model was developed based on a conceptual model of life cycle sustainability assessment (LCSA), which is theoretically a combination of environmental life cycle assessment, life cycle cost analysis, and social life cycle assessment. An integrated AHP‐ELECTRE approach was adopted to provide a logical backbone for the model. This LCSA model is demonstrated through a case study to choose the best alternative regarding sustainability from three structural designs, that is, modular construction‐based, semiprefabricated, and conventional designs. Results show that semiprefabricated design is the best option in the context of this study.

show abstract

Comparative TOPSIS-ELECTRE TRI methods for optimal sites for photovoltaic solar farms. Case study in Spain

Cited by 158 publications

References 39 publications

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

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

Near-Earth object hazardous impact: A Multi-Criteria Decision Making approach

Towards sustainability‐oriented decision making: Model development and its validation via a comparative case study on building construction methods

Contact Info

Product

Resources

About