scholarly journals Hydrogen Power Plant Site Selection Under Fuzzy Multicriteria Decision-Making (FMCDM) Environment Conditions

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 596 ◽  
Author(s):  
Chia-Nan Wang ◽  
Ming-Hsien Hsueh ◽  
Da-Fu Lin
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Site Selection ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Multicriteria Decision Making ◽  
Biomass Energy ◽  
Multicriteria Decision ◽  
Decision Making Unit ◽  
Plant Site

Fuel and energy are basic resources necessary to meet a country’s socioeconomic development needs; further, countries rich in these resources have the best premise for meeting the inputs of an economic system; however, this also poses many political challenges and threats to national security. Vietnam is located in the Southeast Asian monsoon-humid tropical region and has diverse fuel-energy resources such as coal, petroleum, and hydropower, along with renewable energy sources such as solar energy, biomass energy, and geothermal energy. However, the reality of economic development in recent years shows complex fluctuations in fuel and energy usage, i.e., besides the export of coal and crude oil, Vietnam still has imported processed oil products. To overcome this issue, many hydrogen power plants will be built in the future. This is why we propose fuzzy multicriteria decision-making (FMCDM) for hydrogen power plant site selection in this research. All criteria affecting location selection are determined by experts and literature reviews, and the weight of all criteria are defined by a fuzzy analytic hierarchy process (FAHP). The technique for order of preference by similarity to an ideal solution (TOPSIS) is a multicriteria decision analysis method, which is used for ranking potential locations in the final stage. As a result, the decision-making unit, DMU010 (DMU010), has become the optimal solution for building hydrogen power plants in Vietnam. A multicriteria decision-making (MCDM) model for hydrogen power plant site selection in Vietnam under fuzzy environment conditions is a contribution of this study. This research also provides useful tools for other types of renewable energies in Vietnam and other countries.

scholarly journals Nuclear Power Plant Location Selection in Vietnam under Fuzzy Environment Conditions

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 548 ◽  
Author(s):  
Chia-Nan Wang ◽  
Chih-Chiang Su ◽  
Van Nguyen
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Site Selection ◽  
Nuclear Power ◽  
Multicriteria Decision Making ◽  
Energy Sources ◽  
Location Selection ◽  
Multicriteria Decision

The demands for energy in general and electrical power in particular in the process of industrialization–modernization in Vietnam are increasing. Although other renewable energy sources such as wind and solar power have been prioritized, they cannot compensate for the shortages of electricity in Vietnam; moreover, traditional energy sources in Vietnam are not endless and will soon reach exhaustion. Nowadays, the government has chosen a solution to maximize domestic energy resources, i.e., develop renewable energy combined with importing coal and gas in appropriate proportions with the construction of nuclear power plants (NPP), which may be the optimal solution to ensure energy security, environmental protection, and sustainable development. However, site selection for construction of a nuclear power plant is one of the most difficult decisions that management faces. Thus, the authors proposed multicriteria decision-making (MCDM), including a fuzzy analytic network process (FANP) and technique for order preference by similarity of an ideal solution (TOPSIS) for NPP location selection in Vietnam. In the first stages of this research, the weight of all criteria and subcriteria will be calculated by an ANP model using fuzzy logic. A TOPSIS model is proposed for ranking all potential locations in the final stage. The results reveal that Binh Thuan is the best place for building an NPP in Vietnam. The contributions of this research include a fuzzy multicriteria decision-making (F-MCDM) approach for NPP site selection in Vietnam. This research also utilizes the evolution of a new approach that is flexible and practical for the decision-maker and provides useful guidelines for NPP site selection in countries around the world.

scholarly journals GIS BASED SOLAR POWER PLANTS SITE SELECTION USING ANALYTIC HIERARCHY PROCESS (AHP) IN ISTANBUL, TURKEY

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1353-1360 ◽  
Author(s):  
A. Tunc ◽  
G. Tuncay ◽  
Z. Alacakanat ◽  
F. S. Sevimli
Keyword(s):  
Renewable Energy ◽  
Power Plant ◽  
Solar Energy ◽  
Site Selection ◽  
Solar Power ◽  
Renewable Energy Sources ◽  
Impact Factors ◽  
Solar Power Plant ◽  
Plant Site ◽  
Hierarchy Process

<p><strong>Abstract.</strong> Today, countries are shifting their energy policies towards to renewable energy sources. The main reasons for this can be summarized as the reduction of fossil fuel resources, resulting in cost increase and their harmful effect on the ecological balance. Since renewable energy sources are both economical and eco-friendly, for countries which have high solar energy potential such as Turkey, it is reasonable to direct their energy policies to solar energy which is a renewable energy source.</p><p>In this study, the development of renewable energy legislation in Turkey, from past to present has been examined and implementation steps for the licenced and unlicensed generation of electricity from solar energy have been introduced. Ten impact factors have been identified as the first step for the implementation of the solar power plant site selection in Istanbul, which was determined as the pilot region. Impact factors weighted using Analytical Hierarchy Process (AHP) method. Concurrently, the weights of these determined impact factors were compared with the weights obtained by evaluating the results of the “Evaluation of Solar Energy Power Plant Site Selection Factors” survey conducted during the study. After obtaining the weights, the relevant data were collected and the necessary analyses were performed with the help of the GIS software and the most suitable places were provided for the solar power plant for Istanbul.</p>

scholarly journals Decision Support Technique Based on Spherical Fuzzy Yager Aggregation Operators and Their Application in Wind Power Plant Locations: A Case Study of Jhimpir, Pakistan

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Ronnason Chinram ◽  
Shahzaib Ashraf ◽  
Saleem Abdullah ◽  
Pattarawan Petchkaew
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Fuzzy Sets ◽  
Wind Power ◽  
Power Plants ◽  
Multicriteria Decision Making ◽  
Detailed Comparison ◽  
Aggregation Operators ◽  
Wind Power Plant ◽  
Operational Laws

The problem of energy crisis and environmental pollution has been mitigated by the generation and use of wind power; however, the choice of locations for wind power plants is a difficult task because the decision-making process includes political, socioeconomic, and environmental aspects. Thus, several adverse consequences have been created by the choice of suboptimal locations. The objective of this paper is to address the integrated qualitative and quantitative multicriteria decision-making framework for the selection of wind power plant locations. Spherical fuzzy sets are the latest extension of the ordinary fuzzy sets. The main characteristic of the spherical fuzzy sets is satisfying the condition that the squared sum of the positive, neutral, and negative grades must be at least zero and at most one. In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under spherical fuzzy environments (SFE). Furthermore, based on these Yager operational laws, we develop list of novel aggregation operators under SFE. In addition, we design an algorithm to tackle the uncertainty to investigating the best wind power plant selection in four potential locations in Pakistan. A numerical example of wind power plant location problem is considered to show the supremacy and effectiveness of the proposed study. Also, a detailed comparison is constructed to evaluate the performance and validity of the established technique.

scholarly journals Deciding a Multicriteria Decision-Making (MCDM) Method to Prioritize Maintenance Work Orders of Hydroelectric Power Plants

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8281
Author(s):  
Renan Favarão da Silva ◽  
Marjorie Maria Bellinello ◽  
Gilberto Francisco Martha de Souza ◽  
Sara Antomarioni ◽  
Maurizio Bevilacqua ◽  
...  
Keyword(s):  
Decision Making ◽  
Power Plants ◽  
Multicriteria Decision Making ◽  
Maintenance Management ◽  
Maintenance Planning ◽  
Hydroelectric Power ◽  
Multicriteria Decision ◽  
Maintenance Work ◽  
Mcdm Method ◽  
Work Orders

The current global competitive scenario and the increase in complexity and automation of equipment and systems demand better results from maintenance management in organizations. As maintenance resources are limited, prioritizing maintenance activities is essential to allocate them properly and to meet maintenance management objectives. In the face of these challenges, multicriteria decision-making (MCDM) methods are commonly used in organizations to support decision-making. Nevertheless, selecting a suitable MCDM method for maintenance planning can be complicated given the diversity of methods and their strengths and weaknesses. In this context, this paper proposes a novel knowledge-based method for deciding a multicriteria decision-making (MCDM) method to prioritize maintenance work orders of hydroelectric plants. As the main novel contribution, it translates the intrinsic characteristics of the main MCDM methods into questions related to maintenance planning to guide the recommendation of a suitable MCDM method for organizations through a decision tree diagram. This approach was applied to a maintenance case study of a hydroelectric power plant in order to demonstrate its use and contribute to its understanding. These findings contribute to maintenance management in selecting an MCDM method aligned with the context of its maintenance planning for the prioritization of maintenance work orders.

Hybrid fuzzy decision making approach for wind-powered pumped storage power plant site selection: A case study

2020 ◽  
Vol 42 ◽  
pp. 100838
Author(s):  
Sayyed Hamid Reza Ahmadi ◽  
Younes Noorollahi ◽  
Sasan Ghanbari ◽  
Morteza Ebrahimi ◽  
Hossein Hosseini ◽  
...  
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Site Selection ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Plant Site ◽  
Pumped Storage

scholarly journals Decision Support Technique Based on Neutrosophic Yager Aggregation Operators: Application in Solar Power Plant Locations—Case Study of Bahawalpur, Pakistan

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Shabeer Khan ◽  
Saleem Abdullah ◽  
Shahzaib Ashraf ◽  
Ronnason Chinram ◽  
Samruam Baupradist
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Power Plants ◽  
Solar Power ◽  
Multicriteria Decision Making ◽  
Detailed Comparison ◽  
Aggregation Operators ◽  
Solar Power Plant ◽  
Neutrosophic Sets ◽  
Operational Laws

The problem of energy crisis and environmental pollution has been mitigated by the generation and use of solar power; however, the choice of locations for solar power plants is a difficult task because the decision-making process includes political, socio-economic, and environmental aspects. Thus, several adverse consequences have been created by the choice of suboptimal locations. The objective of this paper is to address the integrated qualitative and quantitative multicriteria decision-making framework for the selection of solar power plant locations. Neutrosophic sets (NSs) are the latest extension of the ordinary fuzzy sets. The main characteristic of the neutrosophic sets is satisfying the condition that the sum of the truth, indeterminacy, and falsity grades must be at least zero and at most three. In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under neutrosophic environments (NE). Furthermore, based on these Yager operational laws, we develop a list of novel aggregation operators under NE. In addition, we design an algorithm to tackle the uncertainty to investigating the best solar power plant selection in five potential locations in Pakistan. A numerical example of solar power plant location problem is considered to show the supremacy and effectiveness of the proposed study. Also, a detailed comparison is constructed to evaluate the performance and validity of the established technique.

scholarly journals Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Babak Daneshvar Rouyendegh ◽  
Abdullah Yildizbasi ◽  
Ümmühan Z. B. Arikan
Keyword(s):  
Power Plant ◽  
Wind Energy ◽  
Wind Power ◽  
Site Selection ◽  
Renewable Energy Sources ◽  
Fuzzy Topsis ◽  
Energy Sources ◽  
Wind Power Plant ◽  
Topsis Method ◽  
Plant Site

The reduction of energy resources and the increase in environmental consciousness have recently increased the interest in renewable energy sources. Wind energy is from renewable energy sources, which are used in many countries. Turkey has a lot alternative wind energy plants thanks to its favorable geographical location. Where the wind power plant is to be established is a complex and important decisive factor. It is very important to select the appropriate wind power plant site to take advantage of wind energy and reduce costs. In this study, we aimed to reach the solution of wind energy plant site selection. For this purpose 4 alternative wind power plant locations have been identified. To evaluate the alternatives, 10 criteria in four dimensions including wind potential, location, cost, and social benefits are selected. Since the Multicriterion Decision Making (MCDM) methods are often used in problem of location selection from past to present, TOPSIS method combined with intuitionistic fuzzy set (IFS) has been used to achieve this goal. The main purpose of the TOPSIS method is to rank the alternatives in the worst way. The IFS are used to reflect approval, rejection, and hesitation of decision makers by dealing with real life uncertainty, imprecision, vagueness, and linguistic human decisions. Finally, a numerical example is applied for wind power plant site selection. In order to demonstrate the effectiveness of IFS, the problem is solved by the Fuzzy TOPSIS method using the same data. Then, the obtained results are compared with the IFS method to show the effectiveness of the proposed method.

scholarly journals Hybrid solar - biomass plants for power generation; technical and economic assessment

2013 ◽  
Vol 13 (3) ◽  
pp. 266-276
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Economic Benefits ◽  
Biomass Energy ◽  
Biomass Combustion ◽  
Energy Potential ◽  
Novel Technologies ◽  
Mediterranean Countries ◽  
Biomass Power Plants

Environmental, economic and strategic reasons are behind the rapid impulse in the deployment of renewable energy sources that is taking place around the world. In addition to overcoming economic and commercial barriers, meeting the ambitious objectives set by most countries in this field will require the development of novel technologies capable of maximising the energy potential of different renewable sources at an acceptable cost. The use of solar radiation and biomass for power generation is growing rapidly, particularly in areas of the globe where these resources are plentiful, like Mediterranean countries. However, solar energy plants necessarily suffer from the intermittency of day/night cycles and also from reduced irradiation periods (winter, cloudy days, short transients). Biomass power plants have to confront the logistic problems associated with the continuous supply of very large amounts of a relatively scarce and seasonal fuel. Hybrid systems may provide the solution to these limitations, maximising the energy potential of these resources, increasing process efficiency, providing greater security of supply and reducing overall costs. This work provides a practical introduction to the production of electricity from conventional Concentrating Solar Power (CSP) and biomass power plants, which is used as the basis to evaluate the technical and economic benefits associated with hybrid CSP-biomass energy systems. The paper initially analyses alternative configurations for a 10 MWe hybrid CSP- biomass combustion power plant. The Solar Advisor Model (SAM) was used to determine the contribution of the solar field using quasi-steady generation conditions. The contribution of the biomass and gas boiler to the power plant was estimated considering the available radiation throughout the year. An economic assessment of a 10 MWe power plant based on conventional CSP, biomass combustion and hybrid technology is calculated. The results show that investment costs for hybrid CSP- biomass power plants are higher than for conventional CSP and biomass combustion plants alone. However, owing to the shared use of some of the equipment, this value is significantly lower (24% saving) than a simple addition of the investment costs associated with the two standard technologies. In contrast, effective operating hours and, therefore, overall energy generation, are significantly higher than in conventional CSP (2.77 times higher) and avoids the need for highly expensive heat storage system. Owing to the lower biomass requirements, hybrid plants may have larger capacities than standard biomass combustion plants, which implies higher energy efficiencies and a reduced risk associated with biomass supply. Universidad Politécnica de Madrid (UPM) is currently collaborating with a consortium of private companies in the development of a first commercial hybrid CSP-biomass combustion power plant that is expected to start operating in 2012.

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