Optimization and Analysis of Operation Strategies for Combined Cooling, Heating and Power System

Li, Zhengyi; Huo, Zhaoyi; Yin, Hua

doi:10.1109/appeec.2011.5748962

Cited by 15 publications

(6 citation statements)

References 15 publications

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“…The gas turbine and its running parameters are listed in Table 1. Based on related literature [32] and the price fitting equation of a gas turbine (1), its price can be estimated; heat emission from the gas turbine per second can be calculated by Equations (2) and 3is used for calculating gas consumption per hour:…”

Section: Calculation Of Exhaust Enthalpy In Gas Turbinementioning

confidence: 99%

Economical Efficiency of Combined Cooling Heating and Power Systems Based on an Enthalpy Method

Yuan

2017

Energies

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As the living standards of Chinese people have been improving, the energy demand for cooling and heating, mainly in the form of electricity, has also expanded. Since an integrated cooling, heating and power supply system (CCHP) will serve this demand better, the government is now attaching more importance to the application of CCHP energy systems. Based on the characteristics of the combined cooling heating and power supply system, and the method of levelized cost of energy, two calculation methods for the evaluation of the economical efficiency of the system are employed when the energy production in the system is dealt with from the perspective of exergy. According to the first method, fuel costs account for about 75% of the total cost. In the second method, the profits from heating and cooling are converted to fuel costs, resulting in a significant reduction of fuel costs, accounting for 60% of the total cost. Then the heating and cooling parameters of gas turbine exhaust, heat recovery boiler, lithium-bromide heat-cooler and commercial tariff of provincial capitals were set as benchmark based on geographic differences among provinces, and the economical efficiency of combined cooling heating and power systems in each province were evaluated. The results shows that the combined cooling heating and power system is economical in the developed areas of central and eastern China, especially in Hubei and Zhejiang provinces, while in other regions it is not. The sensitivity analysis was also made on related influencing factors of fuel cost, demand intensity in heating and cooling energy, and bank loans ratio. The analysis shows that the levelized cost of energy of combined cooling heating and power systems is very sensitive to exergy consumption and fuel costs. When the consumption of heating and cooling energy increases, the unit cost decreases by 0.1 yuan/kWh, and when the on-grid power ratio decreases by 20%, the cost may increase by 0.1 yuan/kWh. Finally, some suggestions were offered from the perspective of the power grid, gas sector reform, heating and cooling systems and other aspects to promote the use of combined cooling heating and power systems in the future.

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Section: Calculation Of Exhaust Enthalpy In Gas Turbinementioning

confidence: 99%

Economical Efficiency of Combined Cooling Heating and Power Systems Based on an Enthalpy Method

Yuan

2017

Energies

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“…Particle swarm optimisation (PSO) is another meta‐heuristic method widely used for energy systems. Li et al implemented PSO to minimise the annual total cost, primary energy consumption and carbon dioxide emissions for a solar‐based tri‐generation plant in a commercial building. The results of each objective were obtained for several runs, considering different operation strategies, following the electric load (FEL), following the thermal load (FTL) and hybrid electric‐thermal load.…”

Section: Optimisation Studiesmentioning

confidence: 99%

“…A few studies of heuristic optimisation for tri‐generation/poly‐generation systems have been implemented for hotels in Italy and in China as case studies. Moreover, commercial buildings in China and in Japan were also used to evaluate the optimisation for the tri‐generation/poly‐generation systems numerically. A few numerical cases were applied to residential buildings, such as a proposed building in Iran , two households in Greece , a residential settlement in Serbia and an agglomeration of buildings, multi‐family houses and single family houses in Switzerland .…”

Section: Optimisation Studiesmentioning

confidence: 99%

Optimisation studies on tri-generation: a review

Ünal¹,

Ercan

Kayakutlu

2015

Int. J. Energy Res.

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Summary Electricity, heating and cooling usage at the same time constitute an important part of primary energy consumption. Currently, intense efforts are being devoted to the improvement and development of new technologies to promote energy savings and to mitigate the global warming. Among these technologies, tri‐generation and poly‐generation systems come into prominence due to their high efficiencies, as well as low operating costs and low greenhouse gas emissions. Nevertheless, modelling and sizing these systems is a large‐sized problem itself, and the higher the number of inputs, the higher the computational complexity. This paper aims to give a comprehensive review of the optimisation techniques used in tri‐generation and poly‐generation systems modelling and optimisation. After having reviewed more than a hundred papers, taxonomy is constructed. Self‐organising map is used to cluster the reviewed studies based on the optimisation techniques. Variations of the energy resources and the outputs of implemented systems are summarised. The crowd of clusters demonstrated the widely used optimisation techniques and the gaps in research. This study will certainly pioneer the optimisation studies in the field of tri‐generation/poly‐generation applications. Copyright © 2015 John Wiley & Sons, Ltd.

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“…Most of the optimization studies only considered energy efficiency or economy unilaterally, and obtained the equipment capacity configuration results when the system achieves the best energy efficiency or economy [2][3][4][5] . In addition, some studies used the method of weight factor to transform multi-objective into single-objective optimization, which is still a singleobjective optimization [6][7][8] .…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Configuration Optimization of DCCHP System by NSGA-II

Wang,

Dai,

Guo

et al. 2020

Preprint

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Optimization and Analysis of Operation Strategies for Combined Cooling, Heating and Power System

Cited by 15 publications

References 15 publications

Economical Efficiency of Combined Cooling Heating and Power Systems Based on an Enthalpy Method

Economical Efficiency of Combined Cooling Heating and Power Systems Based on an Enthalpy Method

Optimisation studies on tri-generation: a review

Multi-Objective Configuration Optimization of DCCHP System by NSGA-II

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