Optimal site selection for the solar-wind hybrid renewable energy systems in Bangladesh using an integrated GIS-based BWM-fuzzy logic method

Aghaloo, Kamaleddin; Ali, Tausif; Chiu, Yie-Ru; Sharifi, Ayyoob

doi:10.1016/j.enconman.2023.116899

Cited by 61 publications

(14 citation statements)

References 66 publications

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“…Reddy [19] proposed a new variable fuzzy membership function island detection method for inverter integrated renewable energy systems composed of distributed generation or microgrid units. Based on a case study, Aghaloo et al [20] proposed a fuzzy logic method based on spatial geographic models to select the optimal location for a solar-wind hybrid renewable energy system.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System

Xie,

Guan,

Peng

et al. 2024

Sustainability

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Sustainable energy systems (SESs) occupy a prominent position in the modern global energy landscape. The purpose of this study is to explore the application of fuzzy control and neural network control in photovoltaic systems to improve the power generation efficiency and stability of the system. By establishing the mathematical model of a photovoltaic system, the nonlinear and uncertain characteristics of photovoltaic system are considered. Fuzzy control and neural network control are used to control the system, and their performance is verified by experiments. The experimental results show that under the conditions of low light and moderate temperature, the fuzzy neural network control achieves a 3.33% improvement in power generation efficiency compared with the single control strategy. Meanwhile, the system can still maintain relatively stable operation under different environmental conditions under this comprehensive control. This shows that fuzzy neural network control has significant advantages in improving power generation efficiency and provides beneficial technical support and guidance for the commercial development of SESs.

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Section: Literature Reviewmentioning

confidence: 99%

Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System

Xie,

Guan,

Peng

et al. 2024

Sustainability

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“…Fuzzy AHP provides more precise results by enabling decision makers to represent the uncertainty related to the nature of the decision-making process. For this reason, fuzzy sets are also commonly used along with GIS in the context of various energy problems on this scale in the literature (Asakereh et al 2017 ; Taoufik & Fekri 2023 ; Sambiani et al 2023 ; Gil-García et al 2022 ; Dehshiri & Firoozabadi 2023 ; Aghaloo et al 2023 ).…”

Section: Introductionmentioning

confidence: 99%

Convenient Site Selection of a Floating PV Power Plant in Türkiye by using GIS-Fuzzy Analytical Hierarchy Process

Karipoğlu,

Koca,

İlbahar

2024

Environ Sci Pollut Res

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Floating photovoltaics (FPVs) are appearing as a promising and an alternative renewable energy opinion in which PV panels are mounted on floating platforms in order to produce electricity from renewable energy on water such as seas, dams, rivers, oceans, canals, fish farms, and reservoirs. So far, such studies related to the body knowledge on financial, technical, and environmental aspects of installation of FPV have not been performed in Turkey while expanding steadily in other countries. In this study, suitable site selection for installation of FPV power plants on three lakes in Turkey was studied by performing geographic information system (GIS) and the fuzzy analytic hierarchy process (FAHP) as multi-criteria decision-making (MCDM) method. This detailed study revealed that the criterion of global horizontal irradiance (GHI) was determined as the most crucial criterion for the installation of FPV on Beysehir Lake, Lake of Tuz, and Van Lake. Additionally, it was clearly seen that the Beysehir Lake had the highest value approximately 52% among other lakes for installation, that is why Beysehir Lake is selected as the best option for installation of an FPV system with this multi-criteria approach.

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“…A rating scale is used to assess the suitability of each alternative for the selected factors (Kheybari et al, 2019). The ratings are then multiplied by the respective weights assigned to the factors, and the total scores are calculated for each alternative (Aghaloo et al, 2023). The alternative with the highest total score is considered the most suitable site location for that particular industry.…”

Section: Introductionmentioning

confidence: 99%

Strategic insights in manufacturing site selection: a multi-method approach using factor rating, analytic hierarchy process, and best worst method

Sharma,

Singh Ghatorha,

Kang

et al. 2024

Front. Mech. Eng.

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The current study focuses on selecting the most suitable site location for a manufacturing industry using the Factor Rating Method (FRM). The study considers six key factors: Raw Materials Availability, Location, Availability of Labor, Transport, Availability of Utilities, and Environmental Impact. The FRM assign weights to each factor based on their relative importance. The results indicate that Raw Materials Availability holds the highest weight, suggesting its critical influence on site selection decisions. Subsequently, the Analytic Hierarchy Process (AHP) and Best Worst Method (BWM) are utilized to prioritize three available location alternatives through pairwise criteria comparisons. The analysis reveals that Location C emerges as the most favorable option, effectively meeting the manufacturing industry’s requirements. The successful application of these methods demonstrates their value in aiding decision-making processes related to site location selection. By considering multiple factors and utilizing structured methodologies, organizations can make informed choices aligned with their specific needs and goals. This research contributes to the existing body of knowledge by providing insights into effective site selection strategies for the manufacturing industry. Further research opportunities exist in incorporating additional factors, addressing real-world constraints, and conducting sensitivity analyses to enhance the accuracy and applicability of site location decision-making.

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Optimal site selection for the solar-wind hybrid renewable energy systems in Bangladesh using an integrated GIS-based BWM-fuzzy logic method

Cited by 61 publications

References 66 publications

Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System

Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System

Convenient Site Selection of a Floating PV Power Plant in Türkiye by using GIS-Fuzzy Analytical Hierarchy Process

Strategic insights in manufacturing site selection: a multi-method approach using factor rating, analytic hierarchy process, and best worst method

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