IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i9p5029-d546749.html

A Novel Oil-free Dual Piston Compressor Driven by a Moving Coil Linear Motor with Capacity Regulation Using R134a

Author

Listed:
  • Jian Sun

    (Key Laboratory of Technology on Space Energy Conversion, Technical Institute of Physics and Chemistry, Chinese Academy of Science, Beijing 100190, China
    University of Chinese Academy of Sciences, Beijing 100190, China)

  • Jianguo Li

    (University of Chinese Academy of Sciences, Beijing 100190, China)

  • Yuanli Liu

    (Key Laboratory of Technology on Space Energy Conversion, Technical Institute of Physics and Chemistry, Chinese Academy of Science, Beijing 100190, China
    University of Chinese Academy of Sciences, Beijing 100190, China)

  • Zhijie Huang

    (Key Laboratory of Technology on Space Energy Conversion, Technical Institute of Physics and Chemistry, Chinese Academy of Science, Beijing 100190, China
    University of Chinese Academy of Sciences, Beijing 100190, China)

  • Jinghui Cai

    (Key Laboratory of Technology on Space Energy Conversion, Technical Institute of Physics and Chemistry, Chinese Academy of Science, Beijing 100190, China
    University of Chinese Academy of Sciences, Beijing 100190, China)

Abstract

Improving compressor efficiency is very important to save energy and reduce greenhouse gas emissions. A novel oil-free dual piston compressor prototype driven by a moving coil linear motor was developed, and its working principle was described in detail. The prototype was integrated with a test rig to measure the operation characteristics, the compressor efficiencies and the coefficient of performance (COP). The results show that the dual piston structure results in extraordinary sinusoidal gas force and electromagnetic force and significantly reduces piston offset, which is completely different from the traditional single piston structure. Compared with the variable frequency method, the variable stroke method has lower energy consumption and a higher COP, which is more suitable to cooling capacity regulation for the prototype. The maximum COP, motor efficiency and volumetric efficiency are 5.34, 87.9% and 79.1%, respectively, under the design condition (the evaporation pressure is 0.35 MPa, and the pressure ratio is 2.54). The COP of the linear compressor is 38%, 24% and 12% higher than the commercial crank-driven reciprocating compressor at the pressure ratios of 2.54, 2.80 and 3.90, respectively, which reflects the efficiency advantage of the dual piston linear compressor in household refrigeration.

Suggested Citation

  • Jian Sun & Jianguo Li & Yuanli Liu & Zhijie Huang & Jinghui Cai, 2021. "A Novel Oil-free Dual Piston Compressor Driven by a Moving Coil Linear Motor with Capacity Regulation Using R134a," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5029-:d:546749
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/9/5029/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/9/5029/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cho, Honghyun & Kim, Yongchan & Jang, Inkyu, 2005. "Performance of a showcase refrigeration system with multi-evaporator during on–off cycling and hot-gas bypass defrost," Energy, Elsevier, vol. 30(10), pages 1915-1930.
    2. Tong, Zheming & Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard B., 2016. "Energy saving potential of natural ventilation in China: The impact of ambient air pollution," Applied Energy, Elsevier, vol. 179(C), pages 660-668.
    3. Buffa, Simone & Cozzini, Marco & D’Antoni, Matteo & Baratieri, Marco & Fedrizzi, Roberto, 2019. "5th generation district heating and cooling systems: A review of existing cases in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 504-522.
    4. Chen, Yujiao & Malkawi, Ali & Liu, Zhu & Freeman, Richard Barry & Tong, Zheming, 2016. "Energy Saving Potential of Natural Ventilation in China: The Impact of Ambient Air Pollution," Scholarly Articles 27733689, Harvard University Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Chengzhan & Sun, Jian & Zou, Huiming & Cai, Jinghui & Zhu, Tingting, 2023. "Characteristic analysis and energy efficiency of an oil-free dual-piston linear compressor for household refrigeration with various conditions," Energy, Elsevier, vol. 270(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Shaohui & Guo, Qinxin & Smyth, Russell & Yao, Yao, 2022. "Extreme temperatures and residential electricity consumption: Evidence from Chinese households," Energy Economics, Elsevier, vol. 107(C).
    2. Liwei Wen & Kyosuke Hiyama, 2018. "Target Air Change Rate and Natural Ventilation Potential Maps for Assisting with Natural Ventilation Design During Early Design Stage in China," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    3. Wei Xue & Qingming Zhan & Qi Zhang & Zhonghua Wu, 2019. "Spatiotemporal Variations of Particulate and Gaseous Pollutants and Their Relations to Meteorological Parameters: The Case of Xiangyang, China," IJERPH, MDPI, vol. 17(1), pages 1-23, December.
    4. Martins, Nuno R. & Carrilho da Graça, Guilherme, 2017. "Impact of outdoor PM2.5 on natural ventilation usability in California’s nondomestic buildings," Applied Energy, Elsevier, vol. 189(C), pages 711-724.
    5. Payam Nejat & Fatemeh Jomehzadeh & Hasanen Mohammed Hussen & John Kaiser Calautit & Muhd Zaimi Abd Majid, 2018. "Application of Wind as a Renewable Energy Source for Passive Cooling through Windcatchers Integrated with Wing Walls," Energies, MDPI, vol. 11(10), pages 1-23, September.
    6. Qing He & Haiyang Zhao & Lin Shen & Liuqun Dong & Ye Cheng & Ke Xu, 2019. "Factors Influencing Residents’ Intention toward Green Retrofitting of Existing Residential Buildings," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
    7. Ádám László Katona & Huang Xuan & Sara Elhadad & István Kistelegdi & István Háber, 2020. "High-Resolution CFD and In-Situ Monitoring Based Validation of an Industrial Passive Air Conduction System (PACS)," Energies, MDPI, vol. 13(12), pages 1-23, June.
    8. Alberto Meiss & Miguel A. Padilla-Marcos & Jesús Feijó-Muñoz, 2017. "Methodology Applied to the Evaluation of Natural Ventilation in Residential Building Retrofits: A Case Study," Energies, MDPI, vol. 10(4), pages 1-19, April.
    9. Chen, Yujiao & Tong, Zheming & Wu, Wentao & Samuelson, Holly & Malkawi, Ali & Norford, Leslie, 2019. "Achieving natural ventilation potential in practice: Control schemes and levels of automation," Applied Energy, Elsevier, vol. 235(C), pages 1141-1152.
    10. Fan, Yuling & Xia, Xiaohua, 2018. "Building retrofit optimization models using notch test data considering energy performance certificate compliance," Applied Energy, Elsevier, vol. 228(C), pages 2140-2152.
    11. Elaouzy, Y. & El Fadar, A., 2022. "Energy, economic and environmental benefits of integrating passive design strategies into buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    12. Yun-Yi Zhang & Kai Kang & Jia-Rui Lin & Jian-Ping Zhang & Yi Zhang, 2020. "Building information modeling–based cyber-physical platform for building performance monitoring," International Journal of Distributed Sensor Networks, , vol. 16(2), pages 15501477209, February.
    13. Tong, Zheming & Chen, Yujiao & Malkawi, Ali, 2017. "Estimating natural ventilation potential for high-rise buildings considering boundary layer meteorology," Applied Energy, Elsevier, vol. 193(C), pages 276-286.
    14. Yu, Bendong & Yang, Jichun & He, Wei & Qin, Minghui & Zhao, Xudong & Chen, Hongbing, 2019. "The performance analysis of a novel hybrid solar gradient utilization photocatalytic-thermal-catalytic-Trombe wall system," Energy, Elsevier, vol. 174(C), pages 420-435.
    15. Song, Zhe & Liu, Jia & Yang, Hongxing, 2021. "Air pollution and soiling implications for solar photovoltaic power generation: A comprehensive review," Applied Energy, Elsevier, vol. 298(C).
    16. Xiaoyun Zhang & Yu Wang & Jie Bao & Tengda Wei & Shiwei Xu, 2022. "A Research on the Evaluation of China’s Food Security under the Perspective of Sustainable Development—Based on an Entropy Weight TOPSIS Model," Agriculture, MDPI, vol. 12(11), pages 1-19, November.
    17. Zhang, Chaobo & Xue, Xue & Zhao, Yang & Zhang, Xuejun & Li, Tingting, 2019. "An improved association rule mining-based method for revealing operational problems of building heating, ventilation and air conditioning (HVAC) systems," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    18. Sulfiah Dwi Astarini & Christiono Utomo, 2020. "Performance-Based Building Design of High-Rise Residential Buildings in Indonesia," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    19. Li, Han & You, Shijun & Zhang, Huan & Zheng, Wandong & Zheng, Xuejing & Jia, Jie & Ye, Tianzhen & Zou, Lanjun, 2017. "Modelling of AQI related to building space heating energy demand based on big data analytics," Applied Energy, Elsevier, vol. 203(C), pages 57-71.
    20. Yu, Bendong & He, Wei & Li, Niansi & Wang, Liping & Cai, Jingyong & Chen, Hongbing & Ji, Jie & Xu, Gang, 2017. "Experimental and numerical performance analysis of a TC-Trombe wall," Applied Energy, Elsevier, vol. 206(C), pages 70-82.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5029-:d:546749. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.