Multi-criteria decision-making model for assessment of large photovoltaic farms in Brazil

Rediske, Graciele; Siluk, Julio Cezar Mairesse; Michels, Leandro; Rigo, Paula Donaduzzi; Rosa, Carmen Brum; Cugler, Gilberto

doi:10.1016/j.energy.2020.117167

Cited by 86 publications

(38 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A particular problem class is "location" because the researcher generates alternatives through an adequacy analysis. The authors [39,129,178] studied local solar plant imposing the necessary restrictions. They used Geographic Information Systems (GIS) software, as 50% of papers related to problem class "location."…”

Section: Multicriteria Methodsmentioning

confidence: 99%

Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process

et al. 2020

Self Cite

View full text Add to dashboard Cite

In the current scenario of increasing energy demand and encouraging sustainable development in countries, the energy sector’s planning has become more complex, involving multiple factors, such as technical, economic, environmental, social, and political. The decision process plays a vital role in structuring and evaluating complex decision situations related to the sector, considering various criteria and objectives, encouraging adopting policies to promote energy efficiency actions by increasing research on renewable energy sources and strategic energy decisions. The high number of multi-criteria decision support methods (MCDM) available and their efficiency in solving highly complex problems results in an impasse with their selection and application in specific decision situations. Thus, the scientific community requires methodological approaches that help the decision-maker select the method consistent with his problem. Accordingly, this paper conducts a Systematic Literature Review (SLR) of renewable energy problems associated with MCDM methods based on a final set of 163 articles. We identified five categories of problems solved by MCDM techniques: Source selection, location, sustainability, project performance, and technological performance. We separate the MCDM process into five evaluation steps (alternative selection, criteria selection, criteria weighting, evaluation of alternatives, and post-assessment analyzes), and we extract the methods used in each MCDM step from papers. This paper’s main contribution is identifying the most common MCDM methods in the renewable energy area and the energy problem they solve. Accordingly, this manuscript helps energy decision-makers, entrepreneurs, investors, and policy-makers to improve their ability to choose the proper MCDM methods to solve energy problems.

show abstract

Section: Multicriteria Methodsmentioning

confidence: 99%

Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Varios estudios indican el uso de métodos de EM mediante SIG. Sintetizando los autores, proponen modelos capaces de indicar la mejor ubicación para la implementación de CSF a gran escala usando AHP mediante EM en países como Brasil, Arabia Saudita, España y Tanzania (Al Garni & Awasthi, 2017;Aly et al, 2017;Gutiérrez & Velazquez, 2018;Rediske et al, 2020). En Turquía, Aydin et al (Aydin et al, 2013) analizó la ubicación de plantas solares y eólicas mediante la metodología Ordered Weighted Averging (OWA).…”

Section: Revisión Bibliográficaunclassified

“…Subcriterio Referencia Técnico Pendiente (%) (Aydin et al, 2013), (Cevallos-Sierra & Ramos-Martin, 2018), (Gutiérrez & Velazquez, 2018), (Al Garni & Awasthi, 2017), (Rediske et al, 2020), (Charabi & Gastli, 2011), (Sánchez-Lozano et al, 2014), (Aly, Jensen, & Pedersen, 2017) Técnico Radiación (kWh/ 2 día) (Aydin et al, 2013)…”

Section: Criteriounclassified

“…Las ER están vinculadas a las condiciones globales y el desarrollo. Para la ejecución de estos proyectos se deben analizar los criterios económicos, sociales y ambientales (Cevallos-Sierra & Ramos-Martin, 2018;Rediske et al, 2020;Sánchez-Lozano, Antunes;, García-Cascales, & Dias, 2014;Xu, Wei, Ji, Wang, & Gao, 2019).…”

Section: Introductionunclassified

“…,(Cevallos- Sierra & Ramos-Martin, 2018),(Gutiérrez & Velazquez, 2018),(Al Garni & Awasthi, 2017),(Rediske et al, 2020),(Charabi & Gastli, 2011),(Sánchez-Lozano et al, 2014),(Aly et al, 2017) Económico Vías de comunicación (km)(Cevallos-Sierra & Ramos-Martin, 2018),(Gutiérrez & Velazquez, 2018), (Al Garni &Awasthi, 2017),(Rediske et al, 2020),(Sánchez-Lozano et al, 2014),(Aly et al, 2017) al., 2013), (Cevallos-Sierra & Ramos-Martin, 2018),(Gutiérrez & Velazquez, 2018), (Al Garni & Awasthi, 2017),(Rediske et al, 2020),(Charabi & Gastli, 2011),(Sánchez-Lozano et al, 2014),(Aly et al, 2017) Ambientales Hidrología (km)(Aydin et al, 2013), (Cevallos-Sierra & Ramos-Martin, 2018),(Gutiérrez & Velazquez, 2018),(Charabi & Gastli, 2011),(Aly et al, 2017) Ambientales Uso de suelo(Aydin et al, 2013), (Cevallos-Sierra & Ramos-Martin, 2018),(Gutiérrez & Velazquez, 2018),(Rediske et al, 2020),(Charabi & Gastli, 2011),(Sánchez-Lozano et al, 2014),(Aly et al, 2017) Ambientales Centros poblados (m)(Aydin et al, 2013),(Al Garni & Awasthi, 2017),(Rediske et al, 2020),(Sánchez-Lozano et al, 2014),(Aly et al, 2017) Ambientales Áreas protegidas (Cevallos-Sierra & Ramos-Martin, 2018),(Gutiérrez & Velazquez, 2018),(Al Garni & Awasthi, 2017),(Charabi & Gastli, 2011),…”

unclassified

See 2 more Smart Citations

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

Identification of suitable sites for large‐scale photovoltaic installations through a geographic information system and analytical hierarchy process combination: A case study in Marrakesh‐Safi region, Morocco

Ouchani

Jbaihi

Maâroufi

et al. 2020

Progress in Photovoltaics

View full text Add to dashboard Cite

In this paper, an assessment of the large-scale photovoltaic (PV) potential in the region of Marrakesh-Safi, Morocco, has been carried out. Considering the significant solar resources that the country possesses, the purpose of this investigation was to highlight suitable sites for a PV power plant. To this end, multicriteria decision making (MCDM) analysis and geographic information system (GIS) tools were combined. Several criteria were taken into account, namely, the constraints related to the system installation and environmental conditions. To the best of our knowledge, no study has considered the wind speed as a criterion for PV site selection. Such a criterion has a cooling effect on the technology itself and also affects the stability of the PV panel mounting system. Results reveal that 74% of the study area was considered suitable to host PV power plants. An analytical hierarchy process (AHP) analysis was conducted to evaluate the adopted criteria and a ranking map was generated for the appropriate surface using GIS tools. Results demonstrate that 24.3% of the suitable area was qualified as highly suitable according to calculations. These findings help stakeholders to select the highest ranked sites, ensuring a high score from a technical and economic point of view.

show abstract

Multi-criteria decision-making model for assessment of large photovoltaic farms in Brazil

Cited by 86 publications

References 49 publications

Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process

Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process

Análisis multicriterio para la localización de centrales fotovoltaicas de gran escala

Identification of suitable sites for large‐scale photovoltaic installations through a geographic information system and analytical hierarchy process combination: A case study in Marrakesh‐Safi region, Morocco

Contact Info

Product

Resources

About