A combined geographical information system and Best–Worst Method approach for site selection for photovoltaic power plant projects

Hashemizadeh, Ali; Ju, Yanbing; Dong, Peiwu

doi:10.1007/s13762-019-02598-8

Cited by 44 publications

(21 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…En Ecuador, Cevallos y Ramos (Cevallos-Sierra & Ramos-Martin, 2018) realizaron una EM para analizar los sitios óptimos para el emplazamiento de CSF y eólicas mediante SIG. En China se usó el método Best-Worst Method para encontrar la mejor ubicación para proyectos solares fotovoltaicos (Hashemizadeh et al, 2020).…”

Section: Revisión Bibliográficaunclassified

“…La eficiencia de una celda fotovoltaica se encuentra entre 13 y 16% para paneles policristalinos y puede alcanzar el 20% en paneles monocristalinos (Ghenai et al, 2020). Un factor importante para el análisis de la eficiencia de un panel es la temperatura ambiente, existe menor producción de energía mientras más alta sea la temperatura (Hashemizadeh, Ju, & Dong, 2020), la eficiencia aumenta a medida que la temperatura se mantiene menor a los 25°C (Hashemizadeh et al, 2020;Torres-Pacheco et al, 2018).…”

Section: Introductionunclassified

See 1 more Smart Citation

Análisis multicriterio para la localización de centrales fotovoltaicas de gran escala

Quinteros

Morales

2020

NOVASINERGIA

View full text Add to dashboard Cite

La matriz energética del Ecuador supera el 75% de energía renovable, sin embargo, la fuente principal es la energía hidroeléctrica. Como primer paso hacia la obtención de una matriz más amigable con el ambiente y más diversa es fundamental identificar zonas con potencial para la instalación de energías renovables no convencionales, los Sistemas de Información Geográfico (SIG) son de gran ayuda para identificar zonas con este potencial. En este estudio se identifican los posibles sitios para la implantación de centrales solares fotovoltaicas (CSF) en la Provincia del Azuay mediante los SIG y la Evaluación Multicriterio (EM). Para valorar la importancia de los criterios se empleó el Método Analítico Jerárquico (AHP). Para la obtención de un modelo de capacidad de acogida se integró el modelo de aptitud en el que se analizaron criterios económicos y técnicos; y un modelo de impacto que analizo variables ambientales. Al integrar los modelos esta metodología permitirá la identificación de zonas para el emplazamiento de estaciones que permitan el monitoreo de los recursos y el análisis del comportamiento previo a la implementación de las CSF. Una vez ejecutada la metodología propuesta se obtiene como resultado dos posibles sitios con características medias para el emplazamiento de CSF. Como conclusión en base a los indicadores analizados el Azuay no cuenta con una zona potencialmente adecuada para la instalación de esta tecnología.

show abstract

Section: Revisión Bibliográficaunclassified

Section: Introductionunclassified

Análisis multicriterio para la localización de centrales fotovoltaicas de gran escala

Quinteros

Morales

2020

NOVASINERGIA

View full text Add to dashboard Cite

show abstract

“…Among renewable energy sources, solar energy, which includes different technologies (i.e., photovoltaic panels, concentrated solar power, and solar thermal energy), plays an important role in meeting the world's energy deficit. The attractiveness of solar energy is constantly and rapidly increasing because it is abundant, accessible, free, low-cost, environmentally friendly, and continuous (Choi et al, 2019;Hashemizadeh et al, 2019). Furthermore, solar energy systems have been an alternative energy source due to their ease of operation and maintenance in local regions (Aragonés-Beltrán et al, 2014;Zoghi et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Energy is an indispensable part of the economic development programs of developing countries (Hashemizadeh et al, 2019). It plays a major role in the advancement of countries, increasing competitiveness and the welfare of society.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of GIS based Ranking and AHP methods in selecting the most suitable site: A case study in Kayseri, Turkey

Günen¹

2021

Preprint

View full text Add to dashboard Cite

Demand for renewable energy sources is increasing since traditional energy sources (i.e., coal, oil, and natural gas) have limited reserves and cause high greenhouse gas emission. Suitable site selection for new generation renewable resources is vital in large-scale projects. In this paper, suitable sites for solar photovoltaic (PV) power plants were selected for a Kayseri, Turkey case. Geographic information systems and multi criteria decision-making (MCDM) methods were integrated to exploit and construct the best location for solar PV power plants. In this context, three main, twelve sub-criteria, and their indicators were determined by considering expert opinion and previous studies. The rank based (i.e., rank sum, rank reciprocal weights, and rank order centroid weights) and analytical hierarchical process (AHP) methods were used to determine the weights of the criteria. The suitability maps created according to the calculated weights were divided into 5 levels (i.e., excellent, good, fair, low, poor site). To compare the success of MCDM methods, 33 existing installed PV power plants were randomly selected and used for validation. It was determined that the rank reciprocal method was the most successful in selection of the most suitable site. Four MCDM methods determined that the Sarız, Tomarza, and Incesu districts of Kayseri were the most suitable sites.

show abstract

“…There are different studies discussing the uses of AHP in the literature. Among them, there are studies on the land use suitability for different crops (Mustafa et al 2011), suitability for agricultural land use (Feizizadeh and Blaschke 2013;Akıncı et al 2013;Zolekar and Bhagat 2015;Chandio et al 2014), suitability for different land use types (agricultural, pasture and forest lands) (Cengiz et al 2013;Cengiz and Akbulak 2009; Akbulak 2010), land suitability for rice (Maddahi et al 2017), forage legumes (Özyazıcı et al 2016), citrus cultivation (Mokarram and Mirsoleimani 2018), livestock development planning (Qiu et al 2017), selection of suitable regions for urban services (Parry et al 2018) and the determination of energy production areas (Asakereh et al 2017;Al-Yahyai et al 2012;Hashemizadeh et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Determination of agricultural land suitability with a multiple-criteria decision-making method in Northwestern Turkey

Everest

Sungur

Özcan

2020

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

This study was carried out in the district of Lapseki in Çanakkale, Turkey. The suitability of land in Lapseki for agriculture was evaluated by using an analytic hierarchy process. In the study, the basic parameters were determined by using the soil map and the Shuttle Radar Topography Mission data. Land use capability classes, soil depth, erosion risk and other soil properties (limiting factors) were obtained from the soil map, while slope, elevation and aspect were obtained from the Shuttle Radar Topography Mission data. To determine the weight of the parameters in the analytic hierarchy process, the opinions of the public institutions and experts were obtained. The obtained data were analyzed with the analytic hierarchy process and mapped with geographic information systems techniques, and a land suitability map was generated. The agricultural land suitability map demonstrated that 2.95% (2557 ha) of the lands in the study area were highly suitable; 10.37% (8989 ha) were moderately suitable; 53.47% (46,336 ha) were marginally suitable; and 33.21% (28,775 ha) were not suitable for agricultural use. The data from the agricultural land suitability map were compared with the Coordination of Information on the Environment 2012 data. As a result of comparison, 14.12% (361 ha) of highly suitable lands for agriculture and 2.25% (202 ha) of moderate suitable lands for agriculture are urbanized. It was seen that 45.71% (24,837 ha) of the lands that are marginally suitable for agriculture and 18.76% (5397 ha) of the not suitable lands had current land use for agriculture.

show abstract

A combined geographical information system and Best–Worst Method approach for site selection for photovoltaic power plant projects

Cited by 44 publications

References 48 publications

Análisis multicriterio para la localización de centrales fotovoltaicas de gran escala

Análisis multicriterio para la localización de centrales fotovoltaicas de gran escala

Evaluation of GIS based Ranking and AHP methods in selecting the most suitable site: A case study in Kayseri, Turkey

Determination of agricultural land suitability with a multiple-criteria decision-making method in Northwestern Turkey

Contact Info

Product

Resources

About