IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v304y2021ics0306261921010874.html
   My bibliography  Save this article

Relative optimization potential: A novel perspective to address trade-off challenges in urban energy system planning

Author

Listed:
  • Lin, Jian
  • Zhong, Xiaoyi
  • Wang, Jing
  • Huang, Yuan
  • Bai, Xuetao
  • Wang, Xiaonan
  • Shah, Nilay
  • Xie, Shan
  • Zhao, Yingru

Abstract

Urban energy systems often contain multiple optimization sub-objectives with different dimensions. They often need to be normalized in many multi-objective optimization problems. This process may result in the loss of trade-off characteristics of each sub-objectives. This paper introduces a novel indicator, relative optimization potential, to quantify the difference in sensitivity of sub-objectives to the trade-off process, which is easily ignored in previous studies. An integrated multi-objective optimization framework for urban energy systems with flexible decision-making approaches is further proposed to match the differentiated requirements of various scenarios. This framework includes a partial a posterior approach to tackle high-dimensional multi-objective optimization problems, which reduces the computational cost while obtaining equivalent or better results through a reasonable simplification of the decision process. Moreover, a results evaluation method consistent with the perspective of decision-making is proposed to improve the interpretability and consistency of the entire trade-off process. The case studies illustrate the preference characteristics of the proposed approach under different scenarios. And its feasibility is verified by the cross-sectoral planning problem of integrated energy system and building retrofit in different urban areas and scenarios. The proposed approach favors different sub-objectives under different building environments, demand profiles and grid-connection conditions while seeking the maximization of overall relative benefits. Overall, the proposed approach can be applied flexibly in various optimization scenarios to rationally trade-off multi-objective according to different optimization conditions without causing a significant increase in computational cost. This study provides a new tool for multi-objective optimization of urban energy systems with different perspectives.

Suggested Citation

  • Lin, Jian & Zhong, Xiaoyi & Wang, Jing & Huang, Yuan & Bai, Xuetao & Wang, Xiaonan & Shah, Nilay & Xie, Shan & Zhao, Yingru, 2021. "Relative optimization potential: A novel perspective to address trade-off challenges in urban energy system planning," Applied Energy, Elsevier, vol. 304(C).
  • Handle: RePEc:eee:appene:v:304:y:2021:i:c:s0306261921010874
    DOI: 10.1016/j.apenergy.2021.117741
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921010874
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2021.117741?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. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    2. Sivasakthivel, T. & Murugesan, K. & Sahoo, P.K., 2014. "Optimization of ground heat exchanger parameters of ground source heat pump system for space heating applications," Energy, Elsevier, vol. 78(C), pages 573-586.
    3. Osman Taylan & Rami Alamoudi & Mohammad Kabli & Alawi AlJifri & Fares Ramzi & Enrique Herrera-Viedma, 2020. "Assessment of Energy Systems Using Extended Fuzzy AHP, Fuzzy VIKOR, and TOPSIS Approaches to Manage Non-Cooperative Opinions," Sustainability, MDPI, vol. 12(7), pages 1-27, March.
    4. Jin-peng Liu & Yu Tian & Hao Zheng & Tao Yi, 2019. "Research on Dynamic Evolution Simulation and Sustainability Evaluation Model of China’s Power Supply and Demand System," Energies, MDPI, vol. 12(10), pages 1-23, May.
    5. Wang, Ni & Heijnen, Petra W. & Imhof, Pieter J., 2020. "A multi-actor perspective on multi-objective regional energy system planning," Energy Policy, Elsevier, vol. 143(C).
    6. Zhang, Zhihui & Jing, Rui & Lin, Jian & Wang, Xiaonan & van Dam, Koen H. & Wang, Meng & Meng, Chao & Xie, Shan & Zhao, Yingru, 2020. "Combining agent-based residential demand modeling with design optimization for integrated energy systems planning and operation," Applied Energy, Elsevier, vol. 263(C).
    7. Jing, Rui & Kuriyan, Kamal & Kong, Qingyuan & Zhang, Zhihui & Shah, Nilay & Li, Ning & Zhao, Yingru, 2019. "Exploring the impact space of different technologies using a portfolio constraint based approach for multi-objective optimization of integrated urban energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    8. Liang, Xuesheng & Ma, Linwei & Chong, Chinhao & Li, Zheng & Ni, Weidou, 2020. "Development of smart energy towns in China: Concept and practices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    9. Georgiou, Giorgos S. & Christodoulides, Paul & Kalogirou, Soteris A., 2020. "Optimizing the energy storage schedule of a battery in a PV grid-connected nZEB using linear programming," Energy, Elsevier, vol. 208(C).
    10. Yazdanie, M. & Orehounig, K., 2021. "Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    11. Herrera-Viedma, E. & Herrera, F. & Chiclana, F. & Luque, M., 2004. "Some issues on consistency of fuzzy preference relations," European Journal of Operational Research, Elsevier, vol. 154(1), pages 98-109, April.
    12. Zhu, Xingyi & Zhan, Xiangyan & Liang, Hao & Zheng, Xuyue & Qiu, Yuwei & Lin, Jian & Chen, Jincan & Meng, Chao & Zhao, Yingru, 2020. "The optimal design and operation strategy of renewable energy-CCHP coupled system applied in five building objects," Renewable Energy, Elsevier, vol. 146(C), pages 2700-2715.
    13. D'Adamo, Idiano & Falcone, Pasquale Marcello & Gastaldi, Massimo & Morone, Piergiuseppe, 2020. "RES-T trajectories and an integrated SWOT-AHP analysis for biomethane. Policy implications to support a green revolution in European transport," Energy Policy, Elsevier, vol. 138(C).
    14. Sivasakthivel, T. & Murugesan, K. & Thomas, H.R., 2014. "Optimization of operating parameters of ground source heat pump system for space heating and cooling by Taguchi method and utility concept," Applied Energy, Elsevier, vol. 116(C), pages 76-85.
    15. Stoyanova, Ivelina & Monti, Antonello, 2019. "Cross-domain Pareto optimization of heterogeneous domains for the operation of smart cities," Applied Energy, Elsevier, vol. 240(C), pages 534-548.
    16. Tan, Sieting & Yang, Jin & Yan, Jinyue & Lee, Chewtin & Hashim, Haslenda & Chen, Bin, 2017. "A holistic low carbon city indicator framework for sustainable development," Applied Energy, Elsevier, vol. 185(P2), pages 1919-1930.
    17. Patwal, Rituraj Singh & Narang, Nitin, 2020. "Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach," Renewable Energy, Elsevier, vol. 156(C), pages 864-882.
    18. Zhang, Wei & Valencia, Andrea & Gu, Lixing & Zheng, Qipeng P. & Chang, Ni-Bin, 2020. "Integrating emerging and existing renewable energy technologies into a community-scale microgrid in an energy-water nexus for resilience improvement," Applied Energy, Elsevier, vol. 279(C).
    19. Qu, Kaiping & Yu, Tao & Zhang, Xiaoshun & Li, Haofei, 2019. "Homogenized adjacent points method: A novel Pareto optimizer for linearized multi-objective optimal energy flow of integrated electricity and gas system," Applied Energy, Elsevier, vol. 233, pages 338-351.
    20. Guo, Caishan & Luo, Fengji & Cai, Zexiang & Dong, Zhao Yang & Zhang, Rui, 2021. "Integrated planning of internet data centers and battery energy storage systems in smart grids," Applied Energy, Elsevier, vol. 281(C).
    21. Jing, Rui & Kuriyan, Kamal & Lin, Jian & Shah, Nilay & Zhao, Yingru, 2020. "Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach," Applied Energy, Elsevier, vol. 266(C).
    22. A. T. D. Perera & Vahid M. Nik & Deliang Chen & Jean-Louis Scartezzini & Tianzhen Hong, 2020. "Quantifying the impacts of climate change and extreme climate events on energy systems," Nature Energy, Nature, vol. 5(2), pages 150-159, February.
    23. Klemm, Christian & Vennemann, Peter, 2021. "Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    24. Prina, Matteo Giacomo & Casalicchio, Valeria & Kaldemeyer, Cord & Manzolini, Giampaolo & Moser, David & Wanitschke, Alexander & Sparber, Wolfram, 2020. "Multi-objective investment optimization for energy system models in high temporal and spatial resolution," Applied Energy, Elsevier, vol. 264(C).
    25. Butturi, M.A. & Lolli, F. & Sellitto, M.A. & Balugani, E. & Gamberini, R. & Rimini, B., 2019. "Renewable energy in eco-industrial parks and urban-industrial symbiosis: A literature review and a conceptual synthesis," Applied Energy, Elsevier, vol. 255(C).
    26. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    27. Wu, Wei & You, Tian & Wang, Baolong & Shi, Wenxing & Li, Xianting, 2014. "Simulation of a combined heating, cooling and domestic hot water system based on ground source absorption heat pump," Applied Energy, Elsevier, vol. 126(C), pages 113-122.
    28. Wang, Meng & Yu, Hang & Lin, Xiaoyu & Jing, Rui & He, Fangjun & Li, Chaoen, 2020. "Comparing stochastic programming with posteriori approach for multi-objective optimization of distributed energy systems under uncertainty," Energy, Elsevier, vol. 210(C).
    29. Cayir Ervural, Beyzanur & Evren, Ramazan & Delen, Dursun, 2018. "A multi-objective decision-making approach for sustainable energy investment planning," Renewable Energy, Elsevier, vol. 126(C), pages 387-402.
    30. Nan Zhou & Nina Khanna & Wei Feng & Jing Ke & Mark Levine, 2018. "Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050," Nature Energy, Nature, vol. 3(11), pages 978-984, November.
    31. O’Dwyer, Edward & Pan, Indranil & Acha, Salvador & Shah, Nilay, 2019. "Smart energy systems for sustainable smart cities: Current developments, trends and future directions," Applied Energy, Elsevier, vol. 237(C), pages 581-597.
    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. Faustino, Fausta J. & Lopes, José Calixto & Melo, Joel D. & Sousa, Thales & Padilha-Feltrin, Antonio & Brito, José A.S. & Garcia, Claudio O., 2023. "Identifying charging zones to allocate public charging stations for electric vehicles," Energy, Elsevier, vol. 283(C).
    2. Li, Li & Wang, Jing & Zhong, Xiaoyi & Lin, Jian & Wu, Nianyuan & Zhang, Zhihui & Meng, Chao & Wang, Xiaonan & Shah, Nilay & Brandon, Nigel & Xie, Shan & Zhao, Yingru, 2022. "Combined multi-objective optimization and agent-based modeling for a 100% renewable island energy system considering power-to-gas technology and extreme weather conditions," Applied Energy, Elsevier, vol. 308(C).
    3. Liu, Jia & Ma, Tao & Wu, Huijun & Yang, Hongxing, 2023. "Study on optimum energy fuel mix for urban cities integrated with pumped hydro storage and green vehicles," Applied Energy, Elsevier, vol. 331(C).
    4. Zhao, Xiangming & Guo, Jianxiang & He, Maogang, 2023. "Multi-objective optimization and improvement of multi-energy combined cooling, heating and power system based on system simplification," Renewable Energy, Elsevier, vol. 217(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. Jing, Rui & Li, Yubing & Wang, Meng & Chachuat, Benoit & Lin, Jianyi & Guo, Miao, 2021. "Coupling biogeochemical simulation and mathematical optimisation towards eco-industrial energy systems design," Applied Energy, Elsevier, vol. 290(C).
    2. Nie, Yonghui & Qiu, Yu & Yang, Annan & Zhao, Yan, 2024. "Risk-limiting dispatching strategy considering demand response in multi-energy microgrids," Applied Energy, Elsevier, vol. 353(PA).
    3. Wang, Meng & Yu, Hang & Yang, Yikun & Lin, Xiaoyu & Guo, Haijin & Li, Chaoen & Zhou, Yue & Jing, Rui, 2021. "Unlocking emerging impacts of carbon tax on integrated energy systems through supply and demand co-optimization," Applied Energy, Elsevier, vol. 302(C).
    4. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    5. Ma, Minda & Ma, Xin & Cai, Wei & Cai, Weiguang, 2020. "Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak," Applied Energy, Elsevier, vol. 273(C).
    6. Kachirayil, Febin & Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2022. "Reviewing local and integrated energy system models: insights into flexibility and robustness challenges," Applied Energy, Elsevier, vol. 324(C).
    7. Somogyi, Viola & Sebestyén, Viktor & Nagy, Georgina, 2017. "Scientific achievements and regulation of shallow geothermal systems in six European countries – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 934-952.
    8. Axel Bruck & Luca Casamassima & Ardak Akhatova & Lukas Kranzl & Kostas Galanakis, 2022. "Creating Comparability among European Neighbourhoods to Enable the Transition of District Energy Infrastructures towards Positive Energy Districts," Energies, MDPI, vol. 15(13), pages 1-21, June.
    9. Vivek Aggarwal & Chandan Swaroop Meena & Ashok Kumar & Tabish Alam & Anuj Kumar & Arijit Ghosh & Aritra Ghosh, 2020. "Potential and Future Prospects of Geothermal Energy in Space Conditioning of Buildings: India and Worldwide Review," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    10. 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).
    11. Xie, Yiwei & Hu, Pingfang & Zhu, Na & Lei, Fei & Xing, Lu & Xu, Linghong, 2020. "Collaborative optimization of ground source heat pump-radiant ceiling air conditioning system based on response surface method and NSGA-II," Renewable Energy, Elsevier, vol. 147(P1), pages 249-264.
    12. Magdalena Krystyna Wyrwicka & Ewa Więcek-Janka & Łukasz Brzeziński, 2023. "Transition to Sustainable Energy System for Smart Cities—Literature Review," Energies, MDPI, vol. 16(21), pages 1-26, October.
    13. Xia, Lei & Ma, Zhenjun & Kokogiannakis, Georgios & Wang, Shugang & Gong, Xuemei, 2018. "A model-based optimal control strategy for ground source heat pump systems with integrated solar photovoltaic thermal collectors," Applied Energy, Elsevier, vol. 228(C), pages 1399-1412.
    14. Zhou, Zhihua & Wang, Xiaojuan & Zhang, Xiaoyan & Chen, Guanyi & Zuo, Jian & Pullen, Stephen, 2015. "Effectiveness of pavement-solar energy system – An experimental study," Applied Energy, Elsevier, vol. 138(C), pages 1-10.
    15. Yang, Yang & Zhou, Ling & Hang, Jianwei & Du, Danyang & Shi, Weidong & He, Zhaoming, 2021. "Energy characteristics and optimal design of diffuser meridian in an electrical submersible pump," Renewable Energy, Elsevier, vol. 167(C), pages 718-727.
    16. Blanco, Herib & Leaver, Jonathan & Dodds, Paul E. & Dickinson, Robert & García-Gusano, Diego & Iribarren, Diego & Lind, Arne & Wang, Changlong & Danebergs, Janis & Baumann, Martin, 2022. "A taxonomy of models for investigating hydrogen energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    17. Jing, Rui & Kuriyan, Kamal & Lin, Jian & Shah, Nilay & Zhao, Yingru, 2020. "Quantifying the contribution of individual technologies in integrated urban energy systems – A system value approach," Applied Energy, Elsevier, vol. 266(C).
    18. Noye, Sarah & Mulero Martinez, Rubén & Carnieletto, Laura & De Carli, Michele & Castelruiz Aguirre, Amaia, 2022. "A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    19. Li, Yiming & Liu, Che & Zhang, Lizhi & Sun, Bo, 2021. "A partition optimization design method for a regional integrated energy system based on a clustering algorithm," Energy, Elsevier, vol. 219(C).
    20. Ma, Zhenjun & Xia, Lei & Gong, Xuemei & Kokogiannakis, Georgios & Wang, Shugang & Zhou, Xinlei, 2020. "Recent advances and development in optimal design and control of ground source heat pump systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(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:eee:appene:v:304:y:2021:i:c:s0306261921010874. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.