Optimization of a combined cooling, heating and power system using CO2 as main working fluid driven by gas turbine waste heat

Hou, Shengya; Zhang, Fengyuan; Yu, Liang; Cao, Sheng; Zhou, Yaodong; Wu, Yuandan; Hou, Lingyi

doi:10.1016/j.enconman.2018.09.072

Cited by 50 publications

(12 citation statements)

References 29 publications

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“…The other researchers also detected that CO 2 closedcycle gas turbines can have a wide application in marine systems, especially in a waste heat recovery systems [24,25]. From this viewpoint, it will be also of importance to perform various complex analyses of such processes by using several artificial intelligence methods [26][27][28][29].…”

Section: Resultsmentioning

confidence: 99%

Thermodynamic Analysis of CO2 Closed-Cycle Gas Turbine for Marine Applications at Various Pressure Ratios

et al. 2022

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A thermodynamic analysis of CO2 closed-cycle gas turbine is presented in this paper. Two processes are investigated -base process and the same process upgraded with a heat regenerator. Maximum specific useful work is 159.94 kJ/kg for both observed processes. Involving of heat regenerator inside base CO2 closed-cycle gas turbine process requires attention due to required temperature differences -high pressure ratios cannot be obtained with a high efficiency heat regenerator. Base CO2 closed-cycle gas turbine process did not reach cycle efficiency higher than 25%, while for the upgraded process the cycle efficiency can reach 40% at high pressure ratio and for high regenerator efficiency. Additionally, multilayer perceptron is trained in order to achieve high quality models for estimating specific useful work and efficiency for both, base and upgraded process. As a result, MLP with three hidden layers achieved high values of R 2 score.

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Section: Resultsmentioning

confidence: 99%

Thermodynamic Analysis of CO2 Closed-Cycle Gas Turbine for Marine Applications at Various Pressure Ratios

et al. 2022

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“…Energy balance PV/T installation area [107] Optimization and analyses of a CCHP system comprised of supercritical CO2 recompression cycle and gas turbine waste heat.…”

Section: Apesr Atcsr Acderrmentioning

confidence: 99%

Classification and Analysis of Optimization Techniques for Integrated Energy Systems Utilizing Renewable Energy Sources: A Review for CHP and CCHP Systems

et al. 2021

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Energy generation and its utilization is bound to increase in the following years resulting in accelerating depletion of fossil fuels, and consequently, undeniable damages to our environment. Over the past decade, despite significant efforts in renewable energy realization and developments for electricity generation, carbon dioxide emissions have been increasing rapidly. This is due to the fact that there is a need to go beyond the power sector and target energy generation in an integrated manner. In this regard, energy systems integration is a concept that looks into how different energy systems, or forms, can connect together in order to provide value for consumers and producers. Cogeneration and trigeneration are the two most well established technologies that are capable of producing two or three different forms of energy simultaneously within a single system. Integrated energy systems make for a very strong proposition since it results in energy saving, fuel diversification, and supply of cleaner energy. Optimization of such systems can be carried out using several techniques with regards to different objective functions. In this study, a variety of optimization methods that provides the possibility of performance improvements, with or without presence of constraints, are demonstrated, pinpointing the characteristics of each method along with detailed statistical reports. In this context, optimization techniques are classified into two primary groups including unconstrained optimization and constrained optimization techniques. Further, the potential applications of evolutionary computing in optimization of Integrated Energy Systems (IESs), particularly Combined Heat and Power (CHP) and Combined Cooling, Heating, and Power (CCHP), utilizing renewable energy sources are grasped and reviewed thoroughly. It was illustrated that the employment of classical optimization methods is fading out, replacing with evolutionary computing techniques. Amongst modern heuristic algorithms, each method has contributed more to a certain application; while the Genetic Algorithm (GA) was favored for thermoeconomic optimization, Particle Swarm Optimization (PSO) was mostly applied for economic improvements. Given the mathematical nature and constraint satisfaction property of Mixed-Integer Linear Programming (MILP), this method is gaining prominence for scheduling applications in energy systems.

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“…Xu et al [19] studied the modification of the previous system with extraction, which resulted in a 22.5% exergy efficiency enhancement. Hou et al [20] studied a complex cycle with CO 2 as the main working fluid. This system was driven by methanol and it includes a typical air-Brayton cycle, which feeds heat to a CO 2 cycle for power and refrigeration.…”

Section: Introductionmentioning

confidence: 99%

“…(20) The process in the high-pressure compressor is described by the isentropic efficiency, which is defined below for the two compressors:…”

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confidence: 99%

Parametric Analysis of a Polygeneration System with CO2 Working Fluid

Bellos

Tzivanidis

2021

Applied Sciences

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The objective of the present work is the investigation of a novel polygeneration system for power, refrigeration and heating production at two temperature levels. The present system uses CO2 as the working fluid, which is an environmentally friendly fluid. The total configuration is a combination of a transcritical refrigeration cycle coupled to a Brayton cycle with recompression, which is fed by a biomass boiler. The examined system, at nominal operating conditions, produces refrigeration at 5 °C, and heating at 45 °C and 80 °C. Additionally, the system can be converted into a trigeneration system where the two heating outputs are produced at the same temperature level. The system was studied parametrically by changing the following seven critical parameters: turbine inlet temperature, high pressure, medium pressure, heat exchanger effectiveness, refrigeration temperature, heat rejection temperature and high heating temperature. In nominal operating conditions, the system energy and exergy efficiencies were 78.07% and 26.29%, respectively. For a heat input of 100 kW, the net power production was 24.50 kW, the refrigeration production was 30.73 kW, while the low and high heating production was 9.24 kW and 13.60 kW, respectively. The analysis was conducted with a developed model in Engineering Equation Solver.

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Optimization of a combined cooling, heating and power system using CO2 as main working fluid driven by gas turbine waste heat

Cited by 50 publications

References 29 publications

Thermodynamic Analysis of CO2 Closed-Cycle Gas Turbine for Marine Applications at Various Pressure Ratios

Thermodynamic Analysis of CO2 Closed-Cycle Gas Turbine for Marine Applications at Various Pressure Ratios

Classification and Analysis of Optimization Techniques for Integrated Energy Systems Utilizing Renewable Energy Sources: A Review for CHP and CCHP Systems

Parametric Analysis of a Polygeneration System with CO2 Working Fluid

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