A fuzzy multi-criteria decision-making model for trigeneration system

Wang, Jiangjiang; Jing, Youyin; Zhang, Chun-Fa; Shi, Guohua; Zhang, Xutao

doi:10.1016/j.enpol.2008.07.002

Cited by 167 publications

(75 citation statements)

References 29 publications

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“…Four main criteria from a sustainability point of view are accepted by experts in the literature review on the application of the MCDM techniques in energy planning: technological, environmental, economic, and social (Begic and Afgan 2007;Doukas et al 2007;Wang et al 2008Wang et al , 2009. Table 2 shows the most important ''criteria'' and ''indicators'' used in recent MCDM studies conducted on energy issues.…”

Section: Related Workmentioning

confidence: 99%

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Afsordegan

Sánchez

Agell

et al. 2016

Int. J. Environ. Sci. Technol.

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Multi-criteria decision-making methods support decision makers in all stages of the decision-making process by providing useful data. However, criteria are not always certain as uncertainty is a feature of the real world. MCDM methods under uncertainty and fuzzy systems are accepted as suitable techniques in conflicting problems that cannot be represented by numerical values, in particular in energy analysis and planning. In this paper, a modified TOPSIS method for multi-criteria group decision-making with qualitative linguistic labels is proposed. This method addresses uncertainty considering different levels of precision. Each decision maker's judgment on the performance of alternatives with respect to each criterion is expressed by qualitative linguistic labels. The new method takes into account linguistic data provided by the decision makers without any previous aggregation. Decision maker judgments are incorporated into the proposed method to generate a complete ranking of alternatives. An application in energy planning is presented as an illustrative case example in which energy policy alternatives are ranked. Seven energy alternatives under nine criteria were evaluated according to the opinion of three environmental and energy experts. The weights of the criteria are determined by fuzzy AHP, and the alternatives are ranked using qualitative TOPSIS. The proposed approach is compared with a modified fuzzy TOPSIS method, showing the advantages of the proposed approach when dealing with linguistic assessments to model uncertainty and imprecision. Although the new approach requires less cognitive effort to decision makers, it yields similar results.

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Section: Related Workmentioning

confidence: 99%

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Afsordegan

Sánchez

Agell

et al. 2016

Int. J. Environ. Sci. Technol.

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“…Petrecca and Decarli [23] examined the impact of using hydrogen systems based on technical and economic aspects. Wang et al [6] and Lund et al [24] derived their criteria based on the aspects of technology, economy, environment, and society. Hence, this study selected criteria derived from the four aspects of environment, technology, economy, and society.…”

Section: B Selection Of Criteria For Evaluating Fuel Cell Applicationsmentioning

confidence: 99%

“…1) Safeguard: Wang et al [6] used the safeguarding of surroundings for residents as an assessment criterion for new energy systems. In this study, safeguard is defined as the relative level of safety while using a certain type of fuel cell product compared to that of other products.…”

Section: Evaluation Criteria From a Social Perspectivementioning

confidence: 99%

“…In this study, safeguard is defined as the relative level of safety while using a certain type of fuel cell product compared to that of other products. 2) Use environment maturity: Wang et al [6] used this indicator as an assessment criterion for new energy systems. In this study, use environment maturity is defined as the relative level of environment maturity of a certain type of fuel cell product compared to that of other products.…”

Section: Evaluation Criteria From a Social Perspectivementioning

confidence: 99%

“…Tzeng et al [5] adopted the MCDM to evaluate eight new energy systems. Wang et al [6] also adopted a fuzzy MCDM model to assess trigeneration systems. However, few studies have used the fuzzy Delphi method (FDM) as one method of the MCDM family specifically to evaluate hydrogen fuel cell applications.…”

Section: Introductionmentioning

confidence: 99%

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An Assessment Model for Hydrogen Fuel Cell Applications: Fuzzy Delphi Approach

Chang¹

2011

IJSSH

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Abstract-The objective of this study is to develop an assessment model that can be used to evaluate hydrogen fuel cell applications and provide a screening tool for decision makers. This model operates by selecting the evaluation indicators, determining criteria weight, and assessing the performance of hydrogen fuel cell applications with respect to each criterion. The fuzzy Delphi method (FDM) was used to select the criteria and the preferred hydrogen fuel cell products based on the information collected from a group of experts. Survey questionnaires were sent out to obtain the opinions of experts in different fields. After two rounds of surveying, the group consensus, criteria weight, and ranking of options were obtained. The selected criteria included four general fields-environment, technology, economy, and society, 14 indicators such as energy efficiency and CO 2 emission, and seven hydrogen fuel cell applications such as fuel cell forklifts and fuel cell backup power systems. The results show that the fuel cell backup power system ranked the highest, followed by household fuel cell electric-heat composite systems. The criteria provide a screening tool for decision makers to select appropriate hydrogen-related applications.

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State‐of‐the‐Art of Combined Cooling, Heating, and Power (CCHP) Systems

2017

Combined Cooling, Heating, and Power Systems

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A fuzzy multi-criteria decision-making model for trigeneration system

Cited by 167 publications

References 29 publications

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives

An Assessment Model for Hydrogen Fuel Cell Applications: Fuzzy Delphi Approach

State‐of‐the‐Art of Combined Cooling, Heating, and Power (CCHP) Systems

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