Fuzzy Complex Proportional Assessment Applied in Location Selection for Installation of Photovoltaic Plants

Furtado, Paulo Antônio Xavier; Sola, Antônio Vanderley Herrero

doi:10.3390/en13236260

Cited by 13 publications

(4 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model resolves conflict in a fully fuzzy time-cost-quality project management model. Furtado and Sola [24] used the MCDM (multi-criteria decisionmaking) method and the fuzzy COPRAS (complex proportional assessment) method to solve the problems regarding selecting SPPS sites with conflicting energy project standards. The fuzzy COPRAS method already solves location problems and deals with uncertainty, complexity, and ambiguity problems.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

The Road to Sustainable Logistics: Using the Fuzzy Nonlinear Multi-Objective Optimization Model to Build Photovoltaic Stations in Taiwan’s Logistics Centers

Wang,

Chiang,

Pan

et al. 2023

Sustainability

View full text Add to dashboard Cite

In Taiwan, numerous company logistics centers have embraced installing solar photovoltaic power stations (SPPSs) on their rooftops. The primary objective of this study is to expedite the generation of green electricity for sale, bolstering the logistics center’s income and enhancing its environmental, social, and governance (ESG) profile. How can we secure solar photovoltaic power station (SPPS) projects with expedited construction timelines, reduced investment costs, and heightened quality aligned with the long-term ESG objectives? The study applies the critical path method (CPM) to determine the item’s path. Next, the mothed leverages Zimmermann’s mathematical models for nonlinear multi-objectives and Yager’s fuzzy sets to enhance project efficiency, minimizing completion time and cost while maximizing the quality ratio. Subsequently, the project uses Liou and Wang’s defuzzification values and incorporates Dong’s fuzzy to accelerate calculations. In this case, Project HP’s item J, the construction time is reduced from 24.3 to 3.2 days, ensuring that construction quality meets an 85% standard. Item J necessitates expanding the fuzzy cost interval (4549.90, 15,416.65, 26,283.41) (it refers to a scope of possible costs). It becomes evident that construction time plays a pivotal role in controlling costs. For Project HP’s item H, the unit time quality decision ranges from TWD 238,000 to 240,000, to turn into a cost interval of TWD 215,100, 239,000, and 262,900. Consequently, cost transformation transitions from an active to a more passive role, with quality and construction time becoming the driving components. This study uses a fuzzy nonlinear multi-objective model to guide the decision analysis of SPPSs within logistics centers. This strategy enables decision-makers to streamline logistics center operations, ensuring time, cost, and quality (TCQ) alignment during SPPS installation, thereby advancing ESG sustainability goals.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

“…The literature mentioned above [23][24][25][26][27] shows that the primary focus of building SPPS is site selection, with particular consideration for factors such as sunshine duration and energy quality. This is the pursuit of maximizing clean energy output.…”

Section: Literature Reviewmentioning

confidence: 99%

The Road to Sustainable Logistics: Using the Fuzzy Nonlinear Multi-Objective Optimization Model to Build Photovoltaic Stations in Taiwan’s Logistics Centers

Wang,

Chiang,

Pan

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Ali and Jang [25] developed a MCDM-based geographic information system (GIS) model to evaluate potential wind farm sites in South Korea, considering technical and economic criteria. Furtado and Sola [26] introduced a fuzzy complex proportional assessment (COPRAS-F)-based GIS model to support the location selection problem of photovoltaic plants. The proposed model considered business sustainability criteria including economic, technical, environmental, and social criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources

et al. 2021

View full text Add to dashboard Cite

With the expansion of its industrial and manufacturing sectors, with the goal of positioning Vietnam as the world’s new production hub, Vietnam is forecast to face a surge in energy demand. Today, the main source of energy of Vietnam is fossil fuels, which are not environmentally friendly and are rapidly depleting. The speed of extraction and consumption of fossil fuels is too fast, causing them to become increasingly scarce and gradually depleted. Renewable energy options, such as solar, wind, hydro electrical, and biomass, can be considered as sustainable alternatives to fossil fuels. However, to ensure the effectiveness of renewable energy development initiatives, technological, economic, and environmental must be taken in consideration when choosing a suitable renewable energy resource. In this research, the authors present a multi-criteria decision-making model (MCDM) implementing the grey analytic hierarchy process (G-AHP) method and the weighted aggregates sum product assessment (WASPAS) method for the selection of optimal renewable energy sources for the energy sector of Vietnam. The results of the proposed model have determined that solar energy is the optimal source of renewable energy with a performance score of 0.8822, followed by wind (0.8766), biomass (0.8488), and solid waste energy (0.8135) based on the calculations of the aforementioned methods.

show abstract

“…Aside from the fuzzy number theory, another mathematical theory that can be applied in the MCDM models is rough number [19]. [20,21,22,23], Weighted Decision Matrix (WDM), Analytic Hierarchy Process (AHP), Analytic Network Process (ANP), Technique for Order Preference by similarity to Ideal Solution (TOPSIS), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) to mention a few. In some cases, some of these models are hybridized in order to improve the computational process and make the decision process more robust [24,25,26].…”

Section: Introductionmentioning

confidence: 99%

Identifying Optimal Conceptual Design of a Briquetting Machine

Vincent,

Olabanji,

Farayibi

et al. 2024

CJAST

View full text Add to dashboard Cite

Briquetting is a mechanical compaction process for increasing the density of bulky materials. Briquette is an example of biomass which is a renewable source of energy. As the world turn to renewable energy due to global warming, depletion of fossil fuel reserves and deforestation. The demand for briquetting machines is on the increase. This high demand and large market for briquetting machines has result in the need for briquetting machines with extended capabilities and design customization. This calls for an elaborate conceptual design phase. This research adopts a fuzzified Multi Criteria Decision Making (MCDM) model, (COPRAS) to identify the optimal conceptual design from four conceptual designs of briquette making machine, operating based on different principles. This was achieved by considering eight (8) design features and their sub features as the criterion to analyze, evaluate and measure the four conceptual designs. The result shows that in applying the COPRAS-F model, several decision makers choice can be factored into the process of choosing an optimal design, from a group of designs and still generate a valid result.

show abstract

Fuzzy Complex Proportional Assessment Applied in Location Selection for Installation of Photovoltaic Plants

Cited by 13 publications

References 42 publications

The Road to Sustainable Logistics: Using the Fuzzy Nonlinear Multi-Objective Optimization Model to Build Photovoltaic Stations in Taiwan’s Logistics Centers

The Road to Sustainable Logistics: Using the Fuzzy Nonlinear Multi-Objective Optimization Model to Build Photovoltaic Stations in Taiwan’s Logistics Centers

A Multicriteria Decision-Making Model for the Selection of Suitable Renewable Energy Sources

Identifying Optimal Conceptual Design of a Briquetting Machine

Contact Info

Product

Resources

About