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Experimental investigation of 3-kW organic Rankine cycle (ORC) system subject to heat source conditions: A new appraisal for assessment

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  • Li, Yung-Ming
  • Hung, Tzu-Chen
  • Wu, Chia-Jung
  • Su, Ting-Ying
  • Xi, Huan
  • Wang, Chi-Chuan

Abstract

In this study, experiments are carried out to examine the 3 kW organic Rankine cycle (ORC), investigating the influence of the heat source temperature and the flowrate of heat source on the system performance and heat recovery. Firstly, the behaviors of the evaporator and expander are examined. The efficiency and heat recovery effectiveness further discussed. The results indicated that the inlet temperature of the heat source exhibits a higher sensitivity on system efficiency than the flowrate due to the contribution of the heat transfer rate and power output. The system efficiency increases from 5.2% to 5.6% when the inlet temperature increase. However, the higher heat transfer rate leads to reduction of heat recovery from 60% to 40%. It indicated that the system efficiency may rise while the decrease in the heat recovery effectiveness are encountered with the increase in evaporating temperature. To tackle this inconsistency, the present study proposes a new appraisal, total heat recovery efficiency, defined by the multiplication of system efficiency and effectiveness. The proposed appraisal is more appropriate from the perspective of the heat recovery. Based on the experimental data, the proposed index can assess the performance of ORC subject to inlet temperature of heat source.

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  • Li, Yung-Ming & Hung, Tzu-Chen & Wu, Chia-Jung & Su, Ting-Ying & Xi, Huan & Wang, Chi-Chuan, 2021. "Experimental investigation of 3-kW organic Rankine cycle (ORC) system subject to heat source conditions: A new appraisal for assessment," Energy, Elsevier, vol. 217(C).
    • Handle: RePEc:eee:energy:v:217:y:2021:i:c:s036054422032449x
    DOI: 10.1016/j.energy.2020.119342
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    2. Hsieh, Jui-Ching & Chen, Yen-Hsun & Hsieh, Yi-Chi, 2023. "Experimental study of an organic Rankine cycle with a variable-rotational-speed scroll expander at various heat source temperatures," Energy, Elsevier, vol. 270(C).
    3. Zhang, Xuanang & Wang, Xuan & Cai, Jinwen & He, Zhaoxian & Tian, Hua & Shu, Gequn & Shi, Lingfeng, 2022. "Experimental study on operating parameters matching characteristic of the organic Rankine cycle for engine waste heat recovery," Energy, Elsevier, vol. 244(PA).
    4. Zhou, Xia & Zhang, Hanwei & Rong, Yangyiming & Song, Jian & Fang, Song & Xu, Zhuoren & Zhi, Xiaoqin & Wang, Kai & Qiu, Limin & Markides, Christos N., 2022. "Comparative study for air compression heat recovery based on organic Rankine cycle (ORC) in cryogenic air separation units," Energy, Elsevier, vol. 255(C).
    5. Tian, Zhen & Gan, Wanlong & Zou, Xianzhi & Zhang, Yuan & Gao, Wenzhong, 2022. "Performance prediction of a cryogenic organic Rankine cycle based on back propagation neural network optimized by genetic algorithm," Energy, Elsevier, vol. 254(PB).
    6. Chen, Ruihua & Xu, Weicong & Deng, Shuai & Zhao, Ruikai & Choi, Siyoung Q. & Zhao, Li, 2023. "Towards the Carnot efficiency with a novel electrochemical heat engine based on the Carnot cycle: Thermodynamic considerations," Energy, Elsevier, vol. 284(C).
    7. Li, Tailu & Qiao, Yuwen & Wang, Zeyu & Zhang, Yao & Gao, Xiang & Yuan, Ye, 2024. "Experimental study on dynamic power generation of three ORC-based cycle configurations under different heat source/sink conditions," Renewable Energy, Elsevier, vol. 227(C).
    8. Mahdavi, Navid & Mojaver, Parisa & Khalilarya, Shahram, 2022. "Multi-objective optimization of power, CO2 emission and exergy efficiency of a novel solar-assisted CCHP system using RSM and TOPSIS coupled method," Renewable Energy, Elsevier, vol. 185(C), pages 506-524.
    9. Al-Sayyab, Ali Khalid Shaker & Mota-Babiloni, Adrián & Navarro-Esbrí, Joaquín, 2023. "Performance evaluation of modified compound organic Rankine-vapour compression cycle with two cooling levels, heating, and power generation," Applied Energy, Elsevier, vol. 334(C).
    10. Yan Gao & Qianxi Song & Wen Su & Xinxing Lin & Zhi Sun & Zhisheng Huang & Yaping Gao, 2023. "Experimentally Identifying the Influences of Key Parameters for an Organic Rankine Cycle Using R123," Sustainability, MDPI, vol. 15(1), pages 1-14, January.
    11. Feng, Yong-Qiang & Zhang, Qiang & Xu, Kang-Jing & Wang, Chun-Ming & He, Zhi-Xia & Hung, Tzu-Chen, 2023. "Operation characteristics and performance prediction of a 3 kW organic Rankine cycle (ORC) with automatic control system based on machine learning methodology," Energy, Elsevier, vol. 263(PC).

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