IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v120y2017icp209-216.html
   My bibliography  Save this article

Adapted computational method of energy level and energy quality evolution for combined cooling, heating and power systems with energy storage units

Author

Listed:
  • Jiang, Xi Zhuo
  • Wang, Xiangyu
  • Feng, Lejun
  • Zheng, Danxing
  • Shi, Lin

Abstract

Current energy quality evaluation indexes mainly focus on depicting energy quality in systems whose character temperature and pressure are higher than environment. However, when the temperature and the pressure are lower than environment, these indexes sometimes fail to properly assess the energy quality of the system. Meanwhile, quoting different references or benchmarks in the calculation of some thermodynamics quantities, one of which is energy quality, may also confuse energy system designers. These situations will thereby result in potentially incomplete or partial evaluation of energy quality in complicated energy systems like combined cooling, heating and power (CCHP) systems. In this research, an adapted computational method of energy level which describes energy quality from thermal and mechanical perspectives has been proposed. In this method, energy quality of all-temperature and all-pressure conditions can be quantified without quoting different benchmarks, which allows thorough energy quality analysis for complicated energy systems. Energy quality evolution of a CCHP system with energy storage units (ESUs) has been discussed in terms of the proposed energy levels. The thermal energy quality evolution depicted by thermal energy level indicates that high energy level from waste heat of power generation units will cause large energy quality loss in the absorption refrigerator (AR), since the generation temperature in the AR confines the energy level in the generator to a comparatively low value. In the CCHP power generation unit, thermoacoustic engines prevail over gas turbines in energy quality conservation. Furthermore, mechanical energy level analysis shows that the absorption refrigerator and the absorption cooling storage units have higher mechanical energy levels than other components in CCHP systems due to the high vacuum conditions. Finally, an energy level matching map is provided to suggest matching strategies between waste heat sources and energy storage techniques in CCHP systems.

Suggested Citation

  • Jiang, Xi Zhuo & Wang, Xiangyu & Feng, Lejun & Zheng, Danxing & Shi, Lin, 2017. "Adapted computational method of energy level and energy quality evolution for combined cooling, heating and power systems with energy storage units," Energy, Elsevier, vol. 120(C), pages 209-216.
  • Handle: RePEc:eee:energy:v:120:y:2017:i:c:p:209-216
    DOI: 10.1016/j.energy.2016.12.124
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544216319387
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2016.12.124?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fumo, Nelson & Mago, Pedro J. & Chamra, Louay M., 2009. "Emission operational strategy for combined cooling, heating, and power systems," Applied Energy, Elsevier, vol. 86(11), pages 2344-2350, November.
    2. Chicco, Gianfranco & Mancarella, Pierluigi, 2008. "Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part I: Models and indicators," Energy, Elsevier, vol. 33(3), pages 410-417.
    3. Han, Wei & Chen, Qiang & Lin, Ru-mou & Jin, Hong-guang, 2015. "Assessment of off-design performance of a small-scale combined cooling and power system using an alternative operating strategy for gas turbine," Applied Energy, Elsevier, vol. 138(C), pages 160-168.
    4. Mancarella, Pierluigi & Chicco, Gianfranco, 2008. "Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part II: Analysis techniques and application cases," Energy, Elsevier, vol. 33(3), pages 418-430.
    5. N'Tsoukpoe, K. Edem & Liu, Hui & Le Pierrès, Nolwenn & Luo, Lingai, 2009. "A review on long-term sorption solar energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2385-2396, December.
    6. Li, Minzhi & Jiang, Xi Zhuo & Zheng, Danxing & Zeng, Guangbiao & Shi, Lin, 2016. "Thermodynamic boundaries of energy saving in conventional CCHP (Combined Cooling, Heating and Power) systems," Energy, Elsevier, vol. 94(C), pages 243-249.
    7. Zheng, Danxing & Wu, Zhaohui & Huang, Weijia & Chen, Youhui, 2017. "Energy quality factor of materials conversion and energy quality reference system," Applied Energy, Elsevier, vol. 185(P1), pages 768-778.
    8. Gao, Penghui & Dai, Yanjun & Tong, YenWah & Dong, Pengwei, 2015. "Energy matching and optimization analysis of waste to energy CCHP (combined cooling, heating and power) system with exergy and energy level," Energy, Elsevier, vol. 79(C), pages 522-535.
    9. Rong, Aiying & Lahdelma, Risto, 2016. "Role of polygeneration in sustainable energy system development challenges and opportunities from optimization viewpoints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 363-372.
    10. Wu, Jing-yi & Wang, Jia-long & Li, Sheng, 2012. "Multi-objective optimal operation strategy study of micro-CCHP system," Energy, Elsevier, vol. 48(1), pages 472-483.
    11. Xu, Jianzhong & Sui, Jun & Li, Bingyu & Yang, Minlin, 2010. "Research, development and the prospect of combined cooling, heating, and power systems," Energy, Elsevier, vol. 35(11), pages 4361-4367.
    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. Wang, Yongzhen & Zhang, Lanlan & Song, Yi & Han, Kai & Zhang, Yan & Zhu, Yilin & Kang, Ligai, 2024. "State-of-the-art review on evaluation indicators of integrated intelligent energy from different perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    2. Oyekale, Joseph & Petrollese, Mario & Cau, Giorgio, 2020. "Modified auxiliary exergy costing in advanced exergoeconomic analysis applied to a hybrid solar-biomass organic Rankine cycle plant," Applied Energy, Elsevier, vol. 268(C).
    3. Feili, Milad & Rostamzadeh, Hadi & Ghaebi, Hadi, 2022. "Thermo-mechanical energy level approach integrated with exergoeconomic optimization for realistic cost evaluation of a novel micro-CCHP system," Renewable Energy, Elsevier, vol. 190(C), pages 630-657.
    4. Hu, Xiao & Zhang, Heng & Chen, Dongwen & Li, Yong & Wang, Li & Zhang, Feng & Cheng, Haozhong, 2020. "Multi-objective planning for integrated energy systems considering both exergy efficiency and economy," Energy, Elsevier, vol. 197(C).
    5. Wu, Yangyang & Yao, Wenfei & Meng, Fanbin & Wang, Di & Zhao, Xuefeng & Meng, Lan & Arıcı, Müslüm & Li, Dong, 2024. "Energy performance analysis of solar assisted gas-fired boiler heating system for floating roof oil tank," Renewable Energy, Elsevier, vol. 225(C).
    6. Ding, Jianyong & Gao, Ciwei & Song, Meng & Yan, Xingyu & Chen, Tao, 2022. "Bi-level optimal scheduling of virtual energy station based on equal exergy replacement mechanism," Applied Energy, Elsevier, vol. 327(C).
    7. Huang, Weijia & Zheng, Danxing & Chen, Xiaohui & Shi, Lin & Dai, Xiaoye & Chen, Youhui & Jing, Xuye, 2020. "Standard thermodynamic properties for the energy grade evaluation of fossil fuels and renewable fuels," Renewable Energy, Elsevier, vol. 147(P1), pages 2160-2170.
    8. Ji, Ling & Zhang, Bei-Bei & Huang, Guo-He & Xie, Yu-Lei & Niu, Dong-Xiao, 2018. "Explicit cost-risk tradeoff for optimal energy management in CCHP microgrid system under fuzzy-risk preferences," Energy Economics, Elsevier, vol. 70(C), pages 525-535.

    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. Wang, Zefeng & Han, Wei & Zhang, Na & Gan, Zhongxue & Sun, Jie & Jin, Hongguang, 2018. "Energy level difference graphic analysis method of combined cooling, heating and power systems," Energy, Elsevier, vol. 160(C), pages 1069-1077.
    2. Ju, Liwei & Tan, Zhongfu & Li, Huanhuan & Tan, Qingkun & Yu, Xiaobao & Song, Xiaohua, 2016. "Multi-objective operation optimization and evaluation model for CCHP and renewable energy based hybrid energy system driven by distributed energy resources in China," Energy, Elsevier, vol. 111(C), pages 322-340.
    3. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhai, Zhiqiang (John), 2011. "Performance comparison of combined cooling heating and power system in different operation modes," Applied Energy, Elsevier, vol. 88(12), pages 4621-4631.
    4. Zhao, Xin & Zheng, Wenyu & Hou, Zhihua & Chen, Heng & Xu, Gang & Liu, Wenyi & Chen, Honggang, 2022. "Economic dispatch of multi-energy system considering seasonal variation based on hybrid operation strategy," Energy, Elsevier, vol. 238(PA).
    5. Jradi, M. & Riffat, S., 2014. "Tri-generation systems: Energy policies, prime movers, cooling technologies, configurations and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 396-415.
    6. Wei, Dajun & Chen, Alian & Sun, Bo & Zhang, Chenghui, 2016. "Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system," Energy, Elsevier, vol. 98(C), pages 296-307.
    7. Jiang-Jiang, Wang & Chun-Fa, Zhang & You-Yin, Jing, 2010. "Multi-criteria analysis of combined cooling, heating and power systems in different climate zones in China," Applied Energy, Elsevier, vol. 87(4), pages 1247-1259, April.
    8. Jing, Rui & Wang, Meng & Brandon, Nigel & Zhao, Yingru, 2017. "Multi-criteria evaluation of solid oxide fuel cell based combined cooling heating and power (SOFC-CCHP) applications for public buildings in China," Energy, Elsevier, vol. 141(C), pages 273-289.
    9. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Particle swarm optimization for redundant building cooling heating and power system," Applied Energy, Elsevier, vol. 87(12), pages 3668-3679, December.
    10. Miao Li & Hailin Mu & Huanan Li, 2013. "Analysis and Assessments of Combined Cooling, Heating and Power Systems in Various Operation Modes for a Building in China, Dalian," Energies, MDPI, vol. 6(5), pages 1-22, May.
    11. Carvalho, Monica & Serra, Luis Maria & Lozano, Miguel Angel, 2011. "Optimal synthesis of trigeneration systems subject to environmental constraints," Energy, Elsevier, vol. 36(6), pages 3779-3790.
    12. Lizhi Zhang & Fan Li & Bo Sun & Chenghui Zhang, 2019. "Integrated Optimization Design of Combined Cooling, Heating, and Power System Coupled with Solar and Biomass Energy," Energies, MDPI, vol. 12(4), pages 1-21, February.
    13. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    14. Wang, Zefeng & Han, Wei & Zhang, Na & Liu, Meng & Jin, Hongguang, 2017. "Effect of an alternative operating strategy for gas turbine on a combined cooling heating and power system," Applied Energy, Elsevier, vol. 205(C), pages 163-172.
    15. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Optimization design of BCHP system to maximize to save energy and reduce environmental impact," Energy, Elsevier, vol. 35(8), pages 3388-3398.
    16. Li, Minzhi & Jiang, Xi Zhuo & Zheng, Danxing & Zeng, Guangbiao & Shi, Lin, 2016. "Thermodynamic boundaries of energy saving in conventional CCHP (Combined Cooling, Heating and Power) systems," Energy, Elsevier, vol. 94(C), pages 243-249.
    17. Gao, Penghui & Dai, Yanjun & Tong, YenWah & Dong, Pengwei, 2015. "Energy matching and optimization analysis of waste to energy CCHP (combined cooling, heating and power) system with exergy and energy level," Energy, Elsevier, vol. 79(C), pages 522-535.
    18. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Xutao & Zhang, Chunfa, 2011. "Sensitivity analysis of optimal model on building cooling heating and power system," Applied Energy, Elsevier, vol. 88(12), pages 5143-5152.
    19. Smith, Amanda D. & Mago, Pedro J. & Fumo, Nelson, 2011. "Emissions spark spread and primary energy spark spread – Environmental and energy screening parameters for combined heating and power systems," Applied Energy, Elsevier, vol. 88(11), pages 3891-3897.
    20. Carvalho, Monica & Serra, Luis M. & Lozano, Miguel A., 2011. "Geographic evaluation of trigeneration systems in the tertiary sector. Effect of climatic and electricity supply conditions," Energy, Elsevier, vol. 36(4), pages 1931-1939.

    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:eee:energy:v:120:y:2017:i:c:p:209-216. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.