Thermodynamic analyses and optimization of a novel CCHP system integrated organic Rankine cycle and solar thermal utilization

Wu, Di; Zuo, Jifeng; Liu, Zhijian; Han, Zhonghe; Zhang, Yulong; Wang, Qiaomei; Li, Peng

doi:10.1016/j.enconman.2019.06.020

Cited by 76 publications

(13 citation statements)

References 37 publications

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“…Kang et al [24] concluded that efficiency is the highest under the thermal demand management mode by exploring the operation management modes of a CCHP-ORC system with a ground source heat pump. Wu et al [25] innovatively combined a CCHP system, a photothermal utilization system, and an ORC system, and compared the thermodynamic performance of the system under several operating conditions according to some performance indexes of the system.…”

Section: Nomenclaturementioning

confidence: 99%

Performance Evaluation and Optimization of a Novel System Combining a Photovoltaic/Thermal Subsystem & an Organic Rankine Cycle Driven by Solar Parabolic Trough Collector

Liu

Wei

et al. 2021

J. Therm. Sci.

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A novel coupling system that combines a photovoltaic/thermal (PV/T) subsystem and an Organic Rankine Cycle (ORC) driven by solar parabolic trough collector (PTC) is presented in this paper. The mathematical model is initially built. On the basis, the influence of area ratio of two collectors (PV/T and PTC) on the performance of system is discussed. The results show that the optimal area ratio of PV/T to PTC is 8:2, which can achieve the maximum energy output. Moreover, the performance of the coupling system and two independent systems (PV/T and ORC system) are compared and analyzed. The results show that the coupling system is more reliable and its total output energy (heat and electricity) is the highest, compared with the other two independent systems. The solar energy utilization efficiency of the coupling system is 40% higher than that of the other two independent systems in the steady-state simulation. Moreover, the annual output energy per unit area collector of the coupling system is 13% higher than that of the other two independent systems in the dynamic simulation. Furthermore, in the dynamic simulation of a typical day, the PV panels' temperature of the coupling system is 5°C-7°C lower than that of the independent PV/T system. It means that the power generation efficiency of PV panels can be increased by 1.5%-3.5%. This study aims to explore the operation characteristics of the novel solar energy utilization coupling system and promote the development of renewable energy utilization models, which provides a reference for the design and optimization of related energy systems.

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Section: Nomenclaturementioning

confidence: 99%

Performance Evaluation and Optimization of a Novel System Combining a Photovoltaic/Thermal Subsystem & an Organic Rankine Cycle Driven by Solar Parabolic Trough Collector

Liu

Wei

et al. 2021

J. Therm. Sci.

Self Cite

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“…Besides, auxiliary equipment can be adopted in the new CCHP systems to improve performance coefficient. A complementary ORC system [5], [6] was added to CCHP system, which enabled an adjustable electricity to thermal energy output ratio via changing the loads of ORC dynamically. A structural configuration of the CCHP system with hybrid chillers was proposed in [7], [8], consisting of a combined electric and absorption chiller, whose electric cooling to cool load ratio varied according to different electric and thermal loads in every hour.…”

Section: Cchp Systemmentioning

confidence: 99%

Optimal Operation Strategy of Multi-Energy Complementary Distributed CCHP System and its Application on Commercial Building

Wang

Liu

et al. 2019

IEEE Access

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For distributed energy system, multi-energy sources and their comprehensive utilization are popularly concerned nowadays. In this paper, optimal operation of a multi-energy complementary distributed combined cooling, heating and power (CCHP) system is deeply studied. This system is applied on a commercial building in Beijing and it has complex configuration including natural gas energy source, renewable energy source and different energy conversion devices. Meanwhile, a separated cooling, heating and power (SCHP) supply system is also proposed. Their optimal operation strategies and performance are compared to show the advantages of multi-energy complementary system. Through simulation, the results show that the multi-energy complementary system operates with great performance and the optimal operation strategy is effective. INDEX TERMS Combined cooling, heating and power system, distributed energy system, multi-energy complementary system, optimal operation.

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“…In these literature studies, the main objective is one of improving ORC performance is by the use of different working fluids, changing turbine inlet parameters, and using different ORC design configurations (simple, regenerative, dual loop, etc.) [18,19]. In spite of the various experimental and theoretical studies, it is still not possible to precisely predict how much energy might be recovered and ORC performance due to the presence of various heat sources and dynamic variation of the heat source parameters.…”

Section: Introductionmentioning

confidence: 99%

Deep neural network approach to estimation of power production for an organic Rankine cycle system

Mert

Bilgiç

Yağlı

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Thermodynamic analyses and optimization of a novel CCHP system integrated organic Rankine cycle and solar thermal utilization

Cited by 76 publications

References 37 publications

Performance Evaluation and Optimization of a Novel System Combining a Photovoltaic/Thermal Subsystem & an Organic Rankine Cycle Driven by Solar Parabolic Trough Collector

Performance Evaluation and Optimization of a Novel System Combining a Photovoltaic/Thermal Subsystem & an Organic Rankine Cycle Driven by Solar Parabolic Trough Collector

Optimal Operation Strategy of Multi-Energy Complementary Distributed CCHP System and its Application on Commercial Building

Deep neural network approach to estimation of power production for an organic Rankine cycle system

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