A GIS-based multi-criteria decision making method for the potential assessment and suitable sites selection of PV and CSP plants

Sun, Lijian; Jiang, Yuncheng; Qingsheng, Guo; Ji, Ling; Xie, Yulei; Qiao, Qinhua; Huang, Guohe; Xiao, Kun

doi:10.1016/j.resconrec.2020.105306

Cited by 80 publications

(37 citation statements)

References 37 publications

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“…GIS-based MCDM is a fast and cost-effective method for industrial site selection purposes. There are diverse studies that verify the benefits of MCDM methods in the GIS environment for industrial site selection purposes (Ramaya and Devadas, 2019;Cunden et al, 2020;Saraswat et al, 2021, Sun et al, 2021Caner and Aydin, 2021), especially in Iran, notably Reisi et al (2011), Masoudi and Jokar (2015), Fataei et al (2015), Amini (2015), Arabsheibani et al (2016), Ahmadipari et al (2018), Kishani Farahani (2018, Salari et al (2019), andMoradi et al (2020). The difference of this study with other research has been its comprehensiveness and integrity of information, in so that, it has made the effort to use the most effective data in the field.…”

Section: Discussionmentioning

confidence: 99%

Industrial park land capability assessment and post-evaluation in Markazi province

Aghmashhadi

Azizi²,

Hoseinkhani

et al. 2021

Appl Geomat

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Markazi province in Central Iran is a highly attractive area for the development of industrial centers; however, over the last few decades, unregulated development has led to environmental and socioeconomic issues. The purpose of this research is to evaluate the existing industrial parks and identify potential areas for appropriate development. An industrial land capability assessment utilized 14 main criteria and 10 constraint parameters of socioeconomic, infrastructural, biological, and physical aspects using a geographic information system-based analytical network process model. Results show that Markazi province has 14.27% of highly suitable and 11.32% of extremely suitable area for industrial development; contrariwise, 60.14% of the province has no potential or is classified as an exclusion zone. Moreover, 44.4% (i.e., 8 parks) of the province’s industrial parks are located in unsuitable zones. According to the land capability of Markazi province, the need to organize existing industrial parks and integrate industrial units alongside existing centers and potential areas should be considered in the industrial development policies of the province. The results of the sensitivity analysis also support the research findings.

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Section: Discussionmentioning

confidence: 99%

Industrial park land capability assessment and post-evaluation in Markazi province

Aghmashhadi

Azizi²,

Hoseinkhani

et al. 2021

Appl Geomat

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“…Locating a CSP plant in proximity to a road and rail network will minimize additional costs related to the transportation of the plant's components, employees, and maintenance and replacement parts. [ 18 ] Consequently, sites being situated away from a road and railway network leads to further investment expenses associated with the construction of a new connection. [ 22 ] Therefore, sites close to this infrastructure are preferred over others.…”

Section: Methodsmentioning

confidence: 99%

“…Whereas in the case of a dry cooling system, the used water is intended only for the mirror cleaning process. [ 9,18,23 ] To quantify the potential of the Marrakech‐Safi region, both cooling systems (wet and dry) are considered in this study. Thus, sites located in the proximity of water resources are more favorable than others, while taking into account the order of priority between the two schemes considered.…”

Section: Methodsmentioning

confidence: 99%

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Site Assessment for Wet and Dry Concentrated Solar Power Plant Integration Using an Analytical Hierarchy Process–Geographic Information System Approach: A Case Study in the Marrakesh‐Safi Region

Jbaihi

Ouchani

Merrouni³

et al. 2021

Energy Tech

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Herein, a combination of a multicriteria decision‐making (MCDM) technique and geographic information system (GIS) is established to identify the most appropriate sites for the installation of large‐scale concentrated solar power (CSP) plants in the Marrakech‐Safi region located in mid‐south Morocco. For this purpose, numerous criteria affecting its deployment, such as climate, orography, location, and water resources, are taken into account. As a CSP plant requires cooling for its power block cycle, wet and dry cooling options are explored to assess the suitability of the field of study to host CSP plants with both scenarios. Results reveal that 62.4% of the study area is deemed appropriate for CSP plant hosting. Moreover, 16.1% and 7.6% of the suitable surface area is evaluated as highly suitable for wet and dry cooling systems, respectively. Nevertheless, the excellent areas represent 4.5% for both scenarios.

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“…To generate candidate fire brigades, the final suitability is divided into three categories: most suitable zones (FS > 5), suitable zones (FS ≤ 5), and unsuitable zones including exclusion zones (FS = 0) [56].…”

Section: Weighted Linear Combinationmentioning

confidence: 99%

A GIS-Based Multi-Criterion Decision-Making Method to Select City Fire Brigade: A Case Study of Wuhan, China

Jiang

Yan

et al. 2021

IJGI

Self Cite

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Rapid urban expansion has brought new challenges to firefighting, with the speed of firefighting rescue being crucial for the safety of property and life. Thus, fire prevention and rescuing people in distress have become more challenging for city managers and emergency responders. Unfortunately, existing research does not consider the negative effects of the current spatial distribution of fire-risk areas, land cover, location, and traffic congestion. To address these shortcomings, we use multiple methods (including geographic information system, multi-criterion decision-making, and location–allocation (L-A)) and multi-source geospatial data (including land cover, point-of-interest, drive time, and statistical yearbooks) to identify suitable areas for fire brigades. We propose a method for identifying potential fire-risk areas and to select suitable fire brigade zones. In this method, we first remove exclusion criteria to identify spatially undeveloped zones and use kernel density methods to evaluate the various fire-risk zones. Next, we use analytic hierarchy processes (AHPs) to comprehensively evaluate the undeveloped areas according to the location, orography, and potential fire-risk zones. In addition, based on the multi-time traffic situation, the average traffic speed during rush hour of each road is calculated, a traffic network model is established, and the travel time is calculated. Finally, the L-A model and network analysis are used to map the spatial coverage of the fire brigades, which is optimized by combining various objectives, such as the coverage rate of high-fire-risk zones, the coverage rate of building construction, and the maintenance of a sub-five-minute drive time between the proposed fire brigade and the demand point. The result shows that the top 50% of fire-risk zones in the central part of Wuhan are mainly concentrated to the west of the Yangtze River. Good overall rescue coverage is obtained with existing fire brigades, but the fire brigades in the north, south, southwest, and eastern areas of the study area lack rescue capabilities. The optimized results show that, to cover the high-fire-risk zones and building constructions, nine fire brigades should be added to increase the service coverage rate from 93.28% to 99.01%. The proposed method combines the viewpoint of big data, which provides new ideas and technical methods for the fire brigade site-selection model.

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A GIS-based multi-criteria decision making method for the potential assessment and suitable sites selection of PV and CSP plants

Cited by 80 publications

References 37 publications

Industrial park land capability assessment and post-evaluation in Markazi province

Industrial park land capability assessment and post-evaluation in Markazi province

Site Assessment for Wet and Dry Concentrated Solar Power Plant Integration Using an Analytical Hierarchy Process–Geographic Information System Approach: A Case Study in the Marrakesh‐Safi Region

A GIS-Based Multi-Criterion Decision-Making Method to Select City Fire Brigade: A Case Study of Wuhan, China

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