Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran

Yousefi, Hossein; Hafeznia, Hamed; Yousefi-Sahzabi, Amin

doi:10.3390/en11071648

Cited by 108 publications

(71 citation statements)

References 69 publications

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“…Based on the literature, generally type-1 fuzzy sets have been applied to either directly or combining with other multicriteria decision making methods such as the analytic hierarchy process (AHP), VIKOR on solar power plant site selection problems. Yousefi et al 36 employed a fuzzy-GIS model to determine appropriate areas for solar power plants installation in Markazi, Iran with respect to technical, economic and environmental criteria. In addition, Zoghi et al 37 stated that renewable energy will become an indispensable place for countries and Iran is located a desirable place as a solar energy source.…”

Section: Multi-criteria Of Pv Solar Site Selection Problem Using Gis-mentioning

confidence: 99%

Multi-criteria of PV solar site selection problem using GIS-intuitionistic fuzzy based approach in Erzurum province/Turkey

Türk

Koç

Şahin

2021

Sci Rep

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Renewable energy sources have been placed as the key to facilitating to provide source of electricity generation. Solar power is one of the most preferable one among renewable energy sources due to the easy to generate in suitable environment. However, there are concerns with the location of solar power plants installation which causes low efficiency and ineffective use. Hence, determining the location for the usage of solar power sources is critical to mitigating those concerns. In addition, Turkey has been focused on investments on sustainable renewable energy sources and there are few studies which work on cities to reveal potential sources. In this study, GIS and intuitionistic fuzzy set based multi-criteria decision-making method is proposed for determining the most suitable areas for solar energy power plant potential site selection in Erzurum province, Turkey. Firstly, a solar energy power plant potential site selection map is made using a GIS program along with considering ecological risks and ecological criteria. Secondly, 20 districts of Erzurum are investigated in terms of 10 criteria (slope, aspect, solar irradiation, land use, wind speed, air temperature, air pressure, air humidity, land surface temperature and transmission line) using intuitionistic fuzzy sets. In these parameters the first time we looked the land use surface. The land use surface is affected the efficiency of the solar power plant. Finally, the comparisons of two methods are done to check consistency of results obtained. The results indicate that both approaches achieve same areas as the most suitable locations for solar power plants installations for Erzurum province in Turkey. The aim of this work is first to investigate possible locations for solar power plant installation using a mapping method, GIS, and then, Intuitionistic Fuzzy is applied to the problem to obtain optimum areas for solar energy. Also, more accurate results are provided comparing results of two methods, GIS and Intuitionistic Fuzzy. The results expose that 25,065.3 km2 for solar power plant suitable for solar power plan installation.

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Section: Multi-criteria Of Pv Solar Site Selection Problem Using Gis-mentioning

confidence: 99%

Multi-criteria of PV solar site selection problem using GIS-intuitionistic fuzzy based approach in Erzurum province/Turkey

Türk

Koç

Şahin

2021

Sci Rep

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“…FLC is used where an exact mathematical formulation of the problem is difficult due to non-linear time-varying nature of response, large unpredictable disturbance, etc. (Yousefi et al, 2018).…”

Section: Pi-like Fuzzy Controller Sepic Modelmentioning

confidence: 99%

PI-like fuzzy based synchronous SEPIC converter control for PV-fed small scale irrigation DC pump

et al. 2021

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For off-grid, standalone solar-fed water pumping has become a very viable option for small householder farmers. Appropriate configuration and control to suit this specific application are required. Buck, boost, and buck-boost converters are used to ensure impedance adaption between the solar PV generation and the load. However, these converters have switching harmonic problems. This problem is solved by the use of a single-ended primary inductor converter. Thus, a single-ended primary inductor converter is designed to overcome these drawbacks. Therefore, the objective of this paper is to design a single-ended primary inductive converter with a PI-like fuzzy controller. In this paper, synchronous SEPIC converter with PI-like fuzzy controller for PV-fed pumping system is modeled and designed. The system performance at different input conditions is evaluated. PI and PI-like fuzzy controllers have been compared using MATLAB/SIMULINK. PI-type fuzzy controller is less sensitive to input parameters variation than PI due to auto-tuning capability. Less than 2% output variation is recorded between 200 and 1000 W/m 2 irradiance. This show that output voltage is less sensitive to the input solar radiation with this SEPIC converter control. The steady-state result obtained in speed and flow rate were 141.4 rpm and 1.56 l/s, respectively, and the voltage error was 1.4 V. Thus, PI-like fuzzy controller was used to reduce the steady-state error. The results obtained with

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“…A Boolean scale (0/1) was used to convert each cell in the input raster map to binary format 0 and 1, where the unsuitable and suitable areas were assigned a value of 0 and 1, respectively [28,29,34]. To produce a final map to be used for decision-making, the Boolean constraint map was summed up by the logical AND or OR operators [35].…”

Section: Commensuration (Standardization) Of Criteria and Exclusion Amentioning

confidence: 99%

A Hybrid Neutrosophic GIS-MCDM Method Using a Weighted Combination Approach for Selecting Wind Energy Power Plant Locations: A Case Study of Sinai Peninsula, Egypt

El-hosiny¹,

El-Ghareeb²,

Shabana³

et al. 2021

IJFIS

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The production and use of wind energy has eased the problems of energy scarcity and environmental pollution. However, the selection of locations for wind power plants is challenging because the associated decision-making process requires political, socio-economic, and environmental considerations. The selection of suboptimal sites has created several negative impacts. This study aims to resolve this issue by implementing the following factors: integrating a qualitative and quantitative multi-criteria decision-making framework for selecting locations for wind power plants; applying the new framework in Sinai Peninsula in Egypt, and investigating the neutrosophic analytic network process for weight assignment through expert-based and entropy-based criteria; choosing four potential alternative wind power plant sites, and using PROMETHEE-TOPSIS to help decision makers find the best possible alternative; and establishing the supremacy of one option over the other. The results indicate that by applying the proposed approach, an appropriate wind power plant location can be successfully selected among various alternatives.

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Spatial Site Selection for Solar Power Plants Using a GIS-Based Boolean-Fuzzy Logic Model: A Case Study of Markazi Province, Iran

Cited by 108 publications

References 69 publications

Multi-criteria of PV solar site selection problem using GIS-intuitionistic fuzzy based approach in Erzurum province/Turkey

Multi-criteria of PV solar site selection problem using GIS-intuitionistic fuzzy based approach in Erzurum province/Turkey

PI-like fuzzy based synchronous SEPIC converter control for PV-fed small scale irrigation DC pump

A Hybrid Neutrosophic GIS-MCDM Method Using a Weighted Combination Approach for Selecting Wind Energy Power Plant Locations: A Case Study of Sinai Peninsula, Egypt

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