Sizing the prime mover of a residential micro-combined cooling heating and power (CCHP) system by multi-criteria sizing method for different climates

Ebrahimi, Masood; Keshavarz, Ali

doi:10.1016/j.energy.2013.01.061

Cited by 101 publications

(45 citation statements)

References 22 publications

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“…Step 4.1: transform fuzzy data (Table 1) into interval data based on the alpha-cut using Equation (13); Step 4.2: normalize the interval (alpha cut = 0.1, 0.5, 0.9) decision matrix according to Equations (15) and (16) (17) and (18); Step 4.4: compute the degree of diversification d L i and d R i using Equations (19) and (20); Step 4.5: finally, by applying Equations (21) and (22), we obtain the lower and upper bounds of the interval weight, as shown in Table 3.…”

Section: Algorithm and Resultsmentioning

confidence: 99%

“…In particular, we can mention the following: Wang et al, (2008) who offered a fuzzy multicriteria decision-making model (FMCDM) for the selection and evaluation of several kinds of trigeneration systems [15]; Nieto-Morote et al, (2011), who presented the case of the selection of a trigeneration system for a typical residential building [16]; Pilavachi et al, (2006), who evaluated 16 kinds of CHP systems using a multicriteria method [17]; , who evaluated 16 kinds of CHP systems using weighting methodologies following a multicriteria approach [18]; Ebrahimi and Keshavarz (2013), who proposed a multicriteria sizing function (MCSF) for designing the optimum size and operating strategy of a residential micro-combined cooling heating and power (CCHP) system [19], and, finally, Carvalho, Lozano and Serra (2012), who proposed a mixed-integer linear programming (MILP) model to assess a trigeneration system to be installed in a hospital [20].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Combined Heat and Power (CHP) Systems Using Fuzzy Shannon Entropy and Fuzzy TOPSIS

2016

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Combined heat and power (CHP) or cogeneration can play a strategic role in addressing environmental issues and climate change. CHP systems require less fuel than separate heat and power systems in order to produce the same amount of energy saving primary energy, improving the security of the supply. Because less fuel is combusted, greenhouse gas emissions and other air pollutants are reduced. If we are to consider the CHP system as "sustainable", we must include in its assessment not only energetic performance but also environmental and economic aspects, presenting a multicriteria issue. The purpose of the paper is to apply a fuzzy multicriteria methodology to the assessment of five CHP commercial technologies. Specifically, the combination of the fuzzy Shannon's entropy and the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach will be tested for this purpose. Shannon's entropy concept, using interval data such as the α-cut, is a particularly suitable technique for assigning weights to criteria-it does not require a decision-making (DM) to assign a weight to the criteria. To rank the proposed alternatives, a fuzzy TOPSIS method has been applied. It is based on the principle that the chosen alternative should be as close as possible to the positive ideal solution and be as far as possible from the negative ideal solution. The proposed approach provides a useful technical-scientific decision-making tool that can effectively support, in a consistent and transparent way, the assessment of various CHP technologies from a sustainable point of view.

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Section: Algorithm and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Combined Heat and Power (CHP) Systems Using Fuzzy Shannon Entropy and Fuzzy TOPSIS

2016

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“…Two multi criteria decision-making algorithms of fuzzy logic and grey incidence approach were used to choose the best prime mover for a micro-CCHP system in five different climates [6]. They also proposed a multi-criteria sizing function for designing the optimum size and operating strategy of the prime mover of a micro CCHP system [7]. The benefits of using a CCHP system with dual power generation units was examined in nine different U.S. locations by Alta et al [8].…”

Section: Introductionmentioning

confidence: 99%

Investigating the effects of load demands on selection of optimum CCHP-ORC plant

Hajabdollahi

2015

Applied Thermal Engineering

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“…However, due to the inherent intermittency of RES, it is difficult to supply load using them alone [2,3]. Comprehensive use of these resources to provide different services simultaneously, such as power, heating, and cooling, represents an important energy balance challenge, with the potential to improve the penetration of RES as well as assure high efficiency of energy use [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Economic optimization for configuration and sizing of micro integrated energy systems

Zhang

Deng

et al. 2017

J. Mod. Power Syst. Clean Energy

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Based on analysis of construction and operation of micro integrated energy systems (MIES), this paper presents economic optimization for their configuration and sizing. After presenting typical models for MIES, a residential community MIES is developed by analyzing residential direct energy consumption within a general design procedure. Integrating with available current technologies and local resources, the systematic design considers a prime mover, fed by natural gas, with wind power, photovoltaic generation, and two storage devices serving thermal energy and power to satisfy cooling, heating and electricity demands. Control strategies for MIES also are presented in this study. Multi-objective formulas are obtained by analyzing annual cost and dumped renewable energy to achieve optimal coordination of energy supply and demand. According to historical load data and the probability distribution of distributed generation output, clustering methods based on K-means and discretization methods are employed to obtain typical scenarios representative of uncertainties. The modified non-dominated sorting genetic algorithm is applied to find the Pareto frontier of the constructed multi-objective formulas. In addition, aiming to explore the Pareto frontier, the dumped energy cost ratio is defined to check the energy balance in different MIES designs and provide decision support for the investors. Finally, simulations and comparision show the appropriateness of the developed model and the applicability of the adopted optimization algorithm.

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Sizing the prime mover of a residential micro-combined cooling heating and power (CCHP) system by multi-criteria sizing method for different climates

Cited by 101 publications

References 22 publications

Evaluation of Combined Heat and Power (CHP) Systems Using Fuzzy Shannon Entropy and Fuzzy TOPSIS

Evaluation of Combined Heat and Power (CHP) Systems Using Fuzzy Shannon Entropy and Fuzzy TOPSIS

Investigating the effects of load demands on selection of optimum CCHP-ORC plant

Economic optimization for configuration and sizing of micro integrated energy systems

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