Fuzzy comprehensive evaluation of district heating systems

Wei, Bing; Wang, Songling; Li, Li

doi:10.1016/j.enpol.2010.05.048

Cited by 60 publications

(29 citation statements)

References 12 publications

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“…Fuzzy set theory is used to represent ill-defined fuzzy phenomena, as a result of incomplete and vague data that typify practical problems (Zadeh, 1965;Singh and Tiong, 2005;Wei et al, 2010). A fuzzy set represents a set with varying degrees of membership, which ranges in the closed interval between 0 and 1.…”

Section: Multi-level Fuzzy Synthetic Evaluation (Fse)mentioning

confidence: 99%

“…Since its introduction, the fuzzy set approach has been applied to resolve practical problems and its content continues to be enriched. FSE is among the most important research contents in the fuzzy environment (Yang et al, 2003;Wei et al, 2010), as well as one of the most suitable methods for multi-criteria synthetic evaluation (Hsiao, 1998). FSE utilizes linguistic terms or variables to represent heuristic knowledge of practitioners (Tah and Carr, 2000;Boussabaine, 2014), in order to accurately cater for fuzziness and uncertainty intrinsic in human cognitive process (Dahiya et al, 2007).…”

Section: Multi-level Fuzzy Synthetic Evaluation (Fse)mentioning

confidence: 99%

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Risk allocation in public-private partnership water supply projects in Ghana

Ameyaw

Chan

2015

Construction Management and Economics

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Appropriate risk allocation (RA) between public and private sectors according to their risk management (RM) capabilities is crucial for the success of public-private partnership (PPP) projects. The RA process in PPP water projects is examined, and a methodology based on fuzzy set theory is outlined with RA principles that can be used by public-private participants to arrive at fair RA decisions. Empirical data based on an industry-wide threeround Delphi questionnaire survey is used in this study to outline the methodology. The fuzzy set theory is employed for the RA analysis because it deals well with the complex multi-criteria problem of, and precisely accounts for the fuzziness inherent in human cognitive process that characterize, RA decision-making. Five risk factors are evaluated on each RA principle, analysed and assigned between the public and private sectors. The results show that it is appropriate to allocate risks according to both sectors' RM capability to manage them, using established RA principles and fuzzy set theory. The methodology renders the decision-making process more systematic and practical because the fuzzy theory approach allows decision makers to express their evaluations of both sectors' RM capabilities in descriptive qualitative terms. The results should assist public clients to establish efficient RA strategies and develop balanced RA schemes for PPP contracts, with a view to achieving a mutually acceptable RA with the private sector.

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Section: Multi-level Fuzzy Synthetic Evaluation (Fse)mentioning

confidence: 99%

Section: Multi-level Fuzzy Synthetic Evaluation (Fse)mentioning

confidence: 99%

Risk allocation in public-private partnership water supply projects in Ghana

Ameyaw

Chan

2015

Construction Management and Economics

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“…It gives all possible schemes firstly and then finding the best comprehensive performance scheme by a rigorous fuzzy multi-criteria evaluation procedure. It is much easier to get the best trade-off scheme for the decision maker to comprehend than that of the multi-objective optimization (Lin 2007;Wang, Zhang, and Jing 2008;Wei, Wang, and Li 2010). Among the multiple multi-criteria optimization methods, Grey relational analysis (GRA) is superior in the rigorous comparison among multiple alternative schemes in the complex and grey system (Deng 1982).…”

Section: Introductionmentioning

confidence: 98%

Grey relational analysis of an integrated cascade utilization system of geothermal water

Luo

Wang

Zhao

et al. 2015

International Journal of Green Energy

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With the drastic decrease in fossil resources and rapid deterioration of the global environment, the utilization of geothermal resources has been strongly advocated. The combination of heat, power, and cold utility generation is commonly used to increase the utilization efficiency of geothermal resources. In this study, an integrated cascade utilization system of waste geothermal water (ICUWGW) from a flash geothermal power plant in China is established to increase the utilization efficiency of geothermal water. The waste geothermal water leaving the power plant is proposed for further use in cascade for twostage LiBr/H 2 O absorption cooling, agricultural product drying, and residential bathing. Twelve candidate temperature schemes showing different inlet and outlet temperatures of every subsystem are proposed for the ICUWGW. Several criteria are selected for the evaluation and screening of the candidate schemes. Grey relational analysis incorporating analytic hierarchy process is conducted to screen the optimal temperature scheme for the ICUWGW to meet the comprehensive criteria of thermodynamics and economics. Results show that the optimal scheme features significant improvement in energy efficiency, exergy efficiency, and equivalent electricity generation efficiency compared with those of the current geothermal power plant. The investment payback time of the additional subsystems for cooling, drying, and bathing is 1.85 years. Exergy analysis is also conducted to determine the further optimization potential of the optimal ICUWGW. Sensitivity analysis of electricity price on the performance of the optimal ICUWGW is also performed.

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“…ANFIS shows very good learning and prediction capabilities, which makes it an efficient tool to deal with encountered uncertainties in any system. Fuzzy inference system does not oblige learning of the physical process as a precondition for its application [55]. ANFIS merges the fuzzy inference system with a neural network learning algorithm.…”

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confidence: 99%