A review of micro combined heat and power systems for residential applications

Murugan, S.; Horak, Bohumil

doi:10.1016/j.rser.2016.04.064

Cited by 145 publications

(77 citation statements)

References 118 publications

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“…In reference [9], the multi-objective particle swarm optimization (MOPSO) is employed to address the CHP stochastic dispatch problem. In reference [12], an enhanced firefly algorithm (EFA) based multi-objective optimization (MOO) method has been put forward to resolve the 8 CHPEED issue. The non-dominated sorting genetic algorithm-II (NSGA-II) is utilized for addressing such problems in reference [13].…”

Section: Literature Reviewmentioning

confidence: 99%

A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making

Wang

Zhao

et al. 2018

Energy

198

110

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To address the problem of combined heat and power economic emission dispatch (CHPEED), a two-stage approach is proposed by combining multi-objective optimization (MOO) with integrated decision making (IDM). First, a practical CHPEED model is built by taking into account power transmission losses and the valve-point loading effects. To solve this model, a two-stage methodology is thereafter proposed.The first stage of this approach relies on the use of a powerful multi-objective evolutionary algorithm, called θ-dominance based evolutionary algorithm (θ-DEA), to find multiple Pareto-optimal solutions of the model. Through fuzzy c-means (FCM) clustering, the second stage separates the obtained Pareto-optimal solutions into different clusters and thereupon identifies the best compromise solutions (BCSs) by assessing the relative projections of the solutions belonging to the same cluster using grey relation projection (GRP). The novelty of this work is in the incorporation of an IDM technique FCM-GRP into CHPEED to automatically determine the BCSs that represent decision makers' different, even conflicting, preferences. The simulation results on three test cases with varied complexity levels verify the effectiveness and superiority of the proposed approach. (Yang Li). 2 multi-objective optimization; integrated decision making; valve-point loading effects; θ-dominance based evolutionary algorithm; grey relational projection; integrated energy system. NOMENCLATURE Acronyms CHP combined heat and power CHPED CHP economic dispatch CHPEED CHP economic emission dispatch MOEAs multi-objective evolutionary algorithms MOPSO multi-objective particle swarm optimization EFA enhanced firefly algorithm MOO multi-objective optimization

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Section: Literature Reviewmentioning

confidence: 99%

A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making

Wang

Zhao

et al. 2018

Energy

198

110

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“…Polygeneration systems may be composed of a great number of technologies arranged in various possible configuration modes, among which cogeneration, or combined heat and power (CHP), 4,5 and trigeneration, or combined cooling, heat, and power (CCHP), [6][7][8] are notorious examples. Besides, renewable energy technologies (RETs) based on solar (eg, photovoltaic panels, solar thermal collectors, and hybrid photovoltaic/thermal), wind (eg, wind turbine generator), and biomass (eg, biomass boiler), among others, are increasingly being integrated in polygeneration systems, promoting higher flexibility and energy, economic, and environmental performances.…”

Section: Introductionmentioning

confidence: 99%

A multiperiod multiobjective framework for the synthesis of trigeneration systems in tertiary sector buildings

2019

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This paper develops a multiperiod multiobjective optimization procedure to determine the optimal configuration and operational strategy of a trigeneration system assisted with solar-based technologies and thermal energy storage. The optimization model, formulated as mixed integer linear programming problem, incorporates dynamic operating conditions through time-dependent local climatic data, energy resources, energy demands, electricity prices, and electricity CO 2 emission factors. The methodology is applied to a case study of a residential building in Spain. First, the single-objective solutions are obtained, highlighting their fundamental differences regarding the installation of cogeneration (included in the optimal total annual cost solution) and solar-based technologies (included in the optimal total annual CO 2 emissions solution). Then, the Pareto curve is generated, and a decision-making approach is proposed to select the preferred trade-off solutions based on the marginal cost of CO 2 emissions saved. Additionally, sensitivity analyses are performed to investigate the influence of key parameters concerning energy resources prices, investment costs, and rooftop area. The analyses of the trade-off solutions verify the enormous potential for CO 2 emissions reduction, which can reach 32.3% with only 1.1% higher costs by displacing cogeneration in favor of the heat pump and the electric grid. Besides, with a modest cost increase of 7.3%, photovoltaic panels are incorporated, promoting an even greater CO 2 emissions reduction of 45.2%.

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“…12,13 The utilisation of hydrogen fuel cell (FC) technologies for sustainable building applications is a potential way to deal with the large amount of CO 2 emissions 14 ; FCs are suited for utilisation within micro combined heat and power (CHP) applications in buildings. 15 The main reason is that FC systems have an advantage over conventional CHP systems in terms of lower heat to power ratios. 16,17 One of the major issues for the introduction of FC technologies in the market is the storage of hydrogen, 18,19 along with sustainable hydrogen production.…”

Section: Introductionmentioning

confidence: 99%

“…9 Consequently, as a matter of urgency, there is need for energy efficient buildings that will be environmental friendly, with the lowest possible levels of greenhouse gas emissions. 15 The main reason is that FC systems have an advantage over conventional CHP systems in terms of lower heat to power ratios. 12,13 The utilisation of hydrogen fuel cell (FC) technologies for sustainable building applications is a potential way to deal with the large amount of CO 2 emissions 14 ; FCs are suited for utilisation within micro combined heat and power (CHP) applications in buildings.…”

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confidence: 99%

Study on the hydrogenation of an Mm‐based AB ₅ ‐intermetallic for sustainable building applications

Gkanas

2019

Int J Energy Res

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Summary In the present study, a numerical approach regarding the thermal management of an Mm‐based AB5‐intermetallic (MmNi4.6Al0.4) for the hydrogenation process is introduced and analysed. Several heat management scenarios are studied. The numerical model was supported and validated with experimental data in terms of hydrogenation capacity and temperature distribution. The numerical analysis is based on the introduction of the energy, mass, and momentum conservation equations to numerically describe the hydrogenation reaction. The main aim of the present study is the numerical description of the heat management when 200 g of hydrogen are stored (13 kg of the hydride). The heat management cases consider the usage of cooling tubes in combination with high thermal conductivity fins. In general, various parameters affect the efficiency of the heat management. The parameters considered are the fin thickness, the fin number—which is directly connected to the metal hydride thickness convective heat transfer coefficient. A nondimensional parameter (nondimensional conductance [NDC]) specially modified to describe the role of the fins in addition to the cooling tubes is introduced to evaluate the heat management. The target of the study was to reduce the hydrogenation time of almost 13 kg of MmNi4.6Al0.4, and from the parametric study, it has been found that the more efficient conditions are fin thickness between 5 and 8 mm and the convective heat transfer coefficient of 2000 W/m2 K.

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A review of micro combined heat and power systems for residential applications

Cited by 145 publications

References 118 publications

A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making

A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making

A multiperiod multiobjective framework for the synthesis of trigeneration systems in tertiary sector buildings

Study on the hydrogenation of an Mm‐based AB ₅ ‐intermetallic for sustainable building applications

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A review of micro combined heat and power systems for residential applications

Cited by 145 publications

References 118 publications

A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making

A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making

A multiperiod multiobjective framework for the synthesis of trigeneration systems in tertiary sector buildings

Study on the hydrogenation of an Mm‐based AB 5 ‐intermetallic for sustainable building applications

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Study on the hydrogenation of an Mm‐based AB ₅ ‐intermetallic for sustainable building applications