Performance evaluation of a tri-generation system with simulation and experiment

Ge, Y.T.; Tassou, S.A.; Chaer, Issa; Suguartha, N.

doi:10.1016/j.apenergy.2009.03.018

Cited by 83 publications

(34 citation statements)

References 18 publications

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“…Recently, however, several researchers, motivated by an effort to reduce energy use and greenhouse gas emissions, have theoretically studied the feasibility of using trigeneration systems in supermarket applications (Maidment and Tozer 2002) (Sugiartha, et al 2009) (Arteconi, Brandoni and Polonara 2009). In addition, a laboratory study of a micro turbine based trigeneration system with application to supermarkets has been reported by Ge et al (2009). Furthermore, a field demonstration of a CHP system installed in a supermarket in Hauppauge, NY has been performed by CDH Energy Corporation (2004).…”

Section: Typical Commercially Available Trigeneration Systems Includementioning

confidence: 99%

Waste Heat Recapture from Supermarket Refrigeration Systems

Fricke¹

2011

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Section: Typical Commercially Available Trigeneration Systems Includementioning

confidence: 99%

Waste Heat Recapture from Supermarket Refrigeration Systems

Fricke¹

2011

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“…Also, possible energy sources for CCHP systems include a vast range of fossil fuels, biomass, geothermal and solar power, giving the flexibility desired for installing these systems in different geographical regions. Consequently, CCHP systems are installed in a variety of buildings, such as hotels, offices, hospitals and supermarkets (Ge et al, 2009;Wang et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Optimum design of a CCHP system based on Economical, energy and environmental considerations using GA and PSO

Rabbani¹,

Mohammadi²,

Mobini³

2018

10.5267/j.ijiec

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Optimum design and control of a Combined Cooling, Heating and Power generation (CCHP) system, in addition to the economic benefits, could be profitable in environmental and energy consumption aspects. The aim of this study is to determine the optimal capacity of equipment and define the best control strategy of a CCHP system. Since determination of optimal system control strategy has a huge impact on improving the objective functions, the system's performance under five different strategies (developed based on well-known Following Electrical Load (FEL) and Following Thermal Load (FTL) strategies) is evaluated. In a real case study, a CCHP system is designed for an educational complex located in Mahmoudabad, Mazandaran, Iran. The objective is to minimize capital and operational costs, energy consumption, and CO2 emissions of the system. Due to the complexities of the model, genetic algorithm (GA) and particle swarm optimisation (PSO) algorithm are used to find the optimal values of the decision variables. The results show that using FEL strategy CO2 emissions reduces in compression to FTL strategy. Furthermore, using multiple power generation units under FTL strategy eventuates the least cost but increases CO2 emissions and energy consumption in compression to FEL strategy.

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“…A promising approach for domestic power generation is a combined cooling, heating and power (CCHP) system [1][2][3], that can simultaneously provide cooling, heating and power energy. CCHP systems have also been referred to as trigeneration systems, and have been widely applied in hospitals, supermarkets, and schools [4][5][6][7]. CCHP microgrid is a complex system with many operation conditions, a variety of structures, and highly coupled characteristics caused by the physical connections among components.…”

Section: Introductionmentioning

confidence: 99%

A robust optimization method for energy management of CCHP microgrid

Luo

et al. 2017

J. Mod. Power Syst. Clean Energy

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Energy management is facing new challenges due to the increasing supply and demand uncertainties, which is caused by the integration of variable generation resources, inaccurate load forecasts and non-linear efficiency curves. To meet these challenges, a robust optimization method incorporating piecewise linear thermal and electrical efficiency curve is proposed to accommodate the uncertainties of cooling, thermal and electrical load, as well as photovoltaic (PV) output power. Case study results demonstrate that the robust optimization model performs better than the deterministic optimization model in terms of the expected operation cost. The fluctuation of net electrical load has greater effect on the dispatching results of the combined cooling, heating and power (CCHP) microgrid than the fluctuation of the cooling and thermal load. The day-ahead schedule is greatly affected by the uncertainty budget of the load demand. The economy of the optimal decision could be achieved by adjusting different uncertainty budget levels according to control the conservatism of the model.

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Performance evaluation of a tri-generation system with simulation and experiment

Cited by 83 publications

References 18 publications

Waste Heat Recapture from Supermarket Refrigeration Systems

Waste Heat Recapture from Supermarket Refrigeration Systems

Optimum design of a CCHP system based on Economical, energy and environmental considerations using GA and PSO

A robust optimization method for energy management of CCHP microgrid

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