IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i22p15419-d978425.html
   My bibliography  Save this article

Evaluation Study on a Novel Structure CCHP System with a New Comprehensive Index Using Improved ALO Algorithm

Author

Listed:
  • Jie Ji

    (Electric Engineering Department, Automatic Faculty, Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Fucheng Wang

    (Electric Engineering Department, Automatic Faculty, Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Mengxiong Zhou

    (Electric Engineering Department, Automatic Faculty, Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Renwei Guo

    (Electric Engineering Department, Automatic Faculty, Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Rundong Ji

    (Jiangsu Huashui Engineering Detection & Consulting Co., Ltd., Huai’an 223001, China)

  • Hui Huang

    (Electric Engineering Department, Automatic Faculty, Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Jiayu Zhang

    (Electric Engineering Department, Automatic Faculty, Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Muhammad Shahzad Nazir

    (Electric Engineering Department, Automatic Faculty, Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Tian Peng

    (Electric Engineering Department, Automatic Faculty, Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Chu Zhang

    (Electric Engineering Department, Automatic Faculty, Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Jiahui Huang

    (Electric Engineering Department, Automatic Faculty, Huaiyin Institute of Technology, Huaiyin 223002, China)

  • Yaodong Wang

    (Department of Engineering, Durham Energy Institute, Durham University, Durham DH1 3LE, UK)

Abstract

The CCHP system is a reasonable and effective method to improve the current situation of energy use. Capacity allocation is of great significance in improving the performance of the CCHP system. Due to the particularity of chemical enterprises’ production process, the demand for cooling, heating, and power load is also relatively particular, which makes the dynamic loads challenging to be satisfied. Because of the above problems, the structure of the typical CCHP system is improved, embodied in the collocation of multi-stage lithium bromide chiller, and the use of various energy storage devices. Based on the improved ant lion intelligent optimization (ALO) algorithm, the comprehensive evaluation index coupled with energy benefit, economic benefit, and environmental benefit, is taken as the objective function, and the equipment capacity configuration of the CCHP system for chemical enterprises is studied. Considering winter, summer, and transition seasons, the results show that the system is better than the typical CCHP system. The annual cost savings of the new structural system are up to 13%, and the carbon dioxide emissions of the new structural system are reduced by up to 36.39%. The primary energy utilization rate of the new structure system is increased by 18%, and the comprehensive evaluation index also performs better. The optimal index can reach 0.814.

Suggested Citation

  • Jie Ji & Fucheng Wang & Mengxiong Zhou & Renwei Guo & Rundong Ji & Hui Huang & Jiayu Zhang & Muhammad Shahzad Nazir & Tian Peng & Chu Zhang & Jiahui Huang & Yaodong Wang, 2022. "Evaluation Study on a Novel Structure CCHP System with a New Comprehensive Index Using Improved ALO Algorithm," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15419-:d:978425
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/22/15419/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/22/15419/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Aili & Wang, Shunsheng & Ebrahimi-Moghadam, Amir & Farzaneh-Gord, Mahmood & Moghadam, Ali Jabari, 2022. "Techno-economic and techno-environmental assessment and multi-objective optimization of a new CCHP system based on waste heat recovery from regenerative Brayton cycle," Energy, Elsevier, vol. 241(C).
    2. Jie Ji & Zujun Ding & Xin Xia & Yeqin Wang & Hui Huang & Chu Zhang & Tian Peng & Xiaolu Wang & Muhammad Shahzad Nazir & Yue Zhang & Baolian Liu & Xiaoying Jia & Ruisheng Li & Yaodong Wang, 2020. "System Design and Optimisation Study on a Novel CCHP System Integrated with a Hybrid Energy Storage System and an ORC," Complexity, Hindawi, vol. 2020, pages 1-14, September.
    3. Jie Ji & Xin Xia & Wei Ni & Kailiang Teng & Chunqiong Miao & Yaodong Wang & Tony Roskilly, 2019. "An Experimental and Simulation Study on Optimisation of the Operation of a Distributed Power Generation System with Energy Storage—Meeting Dynamic Household Electricity Demand," Energies, MDPI, vol. 12(6), pages 1-16, March.
    4. Melo, F.M. & Magnani, F.S. & Carvalho, M., 2022. "A decision-making method to choose optimal systems considering financial and environmental aspects: Application in hybrid CCHP systems," Energy, Elsevier, vol. 250(C).
    5. Zhang, Yi & Sun, Hexu & Tan, Jianxin & Li, Zheng & Hou, Weimin & Guo, Yingjun, 2022. "Capacity configuration optimization of multi-energy system integrating wind turbine/photovoltaic/hydrogen/battery," Energy, Elsevier, vol. 252(C).
    6. Delong Zhang & Yiyi Ma & Jinxin Liu & Siyu Jiang & Yongcong Chen & Longze Wang & Yan Zhang & Meicheng Li, 2022. "Stochastic Optimization Method for Energy Storage System Configuration Considering Self-Regulation of the State of Charge," Sustainability, MDPI, vol. 14(1), pages 1-19, January.
    7. Yan, Rujing & Wang, Jiangjiang & Wang, Jiahao & Tian, Lei & Tang, Saiqiu & Wang, Yuwei & Zhang, Jing & Cheng, Youliang & Li, Yuan, 2022. "A two-stage stochastic-robust optimization for a hybrid renewable energy CCHP system considering multiple scenario-interval uncertainties," Energy, Elsevier, vol. 247(C).
    Full references (including those not matched with items on IDEAS)

    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. Dai, Yiru & Zeng, Yipu, 2022. "Optimization of CCHP integrated with multiple load, replenished energy, and hybrid storage in different operation modes," Energy, Elsevier, vol. 260(C).
    2. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    3. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Zhao, Yunlong & Gao, Chong, 2023. "A stochastic hierarchical optimization and revenue allocation approach for multi-regional integrated energy systems based on cooperative games," Applied Energy, Elsevier, vol. 350(C).
    4. Zhiming Lu & Youting Li & Guying Zhuo & Chuanbo Xu, 2023. "Configuration Optimization of Hydrogen-Based Multi-Microgrid Systems under Electricity Market Trading and Different Hydrogen Production Strategies," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    5. Ciprian Cristea & Maria Cristea & Dan Doru Micu & Andrei Ceclan & Radu-Adrian Tîrnovan & Florica Mioara Șerban, 2022. "Tridimensional Sustainability and Feasibility Assessment of Grid-Connected Solar Photovoltaic Systems Applied for the Technical University of Cluj-Napoca," Sustainability, MDPI, vol. 14(17), pages 1-23, August.
    6. Wang, Shouxiang & Wang, Shaomin & Zhao, Qianyu & Dong, Shuai & Li, Hao, 2023. "Optimal dispatch of integrated energy station considering carbon capture and hydrogen demand," Energy, Elsevier, vol. 269(C).
    7. Junchao Cheng & Yongyi Huang & Hongjing He & Abdul Matin Ibrahimi & Tomonobu Senjyu, 2023. "Optimal Operation of CCHP System Combined Electric Vehicles Considering Seasons," Energies, MDPI, vol. 16(10), pages 1-21, May.
    8. Wang, Liying & Lin, Jialin & Dong, Houqi & Wang, Yuqing & Zeng, Ming, 2023. "Demand response comprehensive incentive mechanism-based multi-time scale optimization scheduling for park integrated energy system," Energy, Elsevier, vol. 270(C).
    9. Taskin, Dilvin & Dogan, Eyup & Madaleno, Mara, 2022. "Analyzing the relationship between energy efficiency and environmental and financial variables: A way towards sustainable development," Energy, Elsevier, vol. 252(C).
    10. Alirahmi, Seyed Mojtaba & Ebrahimi-Moghadam, Amir, 2022. "Comparative study, working fluid selection, and optimal design of three systems for electricity and freshwater based on solid oxide fuel cell mover cycle," Applied Energy, Elsevier, vol. 323(C).
    11. Ahmed N. Abdalla & Yongfeng Ju & Muhammad Shahzad Nazir & Hai Tao, 2022. "A Robust Economic Framework for Integrated Energy Systems Based on Hybrid Shuffled Frog-Leaping and Local Search Algorithm," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    12. Jiang, Yuemao & Ma, Yue & Han, Fenghui & Ji, Yulong & Cai, Wenjian & Wang, Zhe, 2023. "Assessment and optimization of a novel waste heat stepped utilization system integrating partial heating sCO2 cycle and ejector refrigeration cycle using zeotropic mixtures for gas turbine," Energy, Elsevier, vol. 265(C).
    13. Takele Ferede Agajie & Ahmed Ali & Armand Fopah-Lele & Isaac Amoussou & Baseem Khan & Carmen Lilí Rodríguez Velasco & Emmanuel Tanyi, 2023. "A Comprehensive Review on Techno-Economic Analysis and Optimal Sizing of Hybrid Renewable Energy Sources with Energy Storage Systems," Energies, MDPI, vol. 16(2), pages 1-26, January.
    14. Han, Fengwu & Zeng, Jianfeng & Lin, Junjie & Gao, Chong, 2023. "Multi-stage distributionally robust optimization for hybrid energy storage in regional integrated energy system considering robustness and nonanticipativity," Energy, Elsevier, vol. 277(C).
    15. Zhang, Yusheng & Zhao, Xuehua & Wang, Xin & Li, Aiyun & Wu, Xinhao, 2023. "Multi-objective optimization design of a grid-connected hybrid hydro-photovoltaic system considering power transmission capacity," Energy, Elsevier, vol. 284(C).
    16. Zhang, Jiaqi & Tian, Guang & Chen, Xiangyu & Liu, Pei & Li, Zheng, 2023. "A chance-constrained programming approach to optimal planning of low-carbon transition of a regional energy system," Energy, Elsevier, vol. 278(PA).
    17. Wang, Yuwei & Song, Minghao & Jia, Mengyao & Shi, Lin & Li, Bingkang, 2023. "TimeGAN based distributionally robust optimization for biomass-photovoltaic-hydrogen scheduling under source-load-market uncertainties," Energy, Elsevier, vol. 284(C).
    18. Chen, Boyu & Che, Yanbo & Zheng, Zhihao & Zhao, Shuaijun, 2023. "Multi-objective robust optimal bidding strategy for a data center operator based on bi-level optimization," Energy, Elsevier, vol. 269(C).
    19. Justyna Kozłowska & Marco Antônio Benvenga & Irenilza de Alencar Nääs, 2022. "Investment Risk and Energy Security Assessment of European Union Countries Using Multicriteria Analysis," Energies, MDPI, vol. 16(1), pages 1-28, December.
    20. Gao, Mingfei & Han, Zhonghe & Zhang, Ce & Li, Peng & Wu, Di & Li, Peng, 2023. "Optimal configuration for regional integrated energy systems with multi-element hybrid energy storage," Energy, Elsevier, vol. 277(C).

    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:14:y:2022:i:22:p:15419-:d:978425. 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.