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A Graph Theory-Based Method for Regional Integrated Energy Network Planning: A Case Study of a China–U.S. Low-Carbon Demonstration City

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  • Yingying Chen

    (School of Civil Engineering, Hefei University of Technology, Hefei 230009, Anhui, China)

  • Jian Zhu

    (School of Civil Engineering, Hefei University of Technology, Hefei 230009, Anhui, China)

Abstract

With the significant attention on global climate change, regional integrated energy systems (RIES) in low-carbon city planning has become one of the most important ways for global cities to achieve the goal of energy conservation and emission reduction. However, the planning strategy used in the primary stage of RIES establishment will greatly affect the system economy and environment. In view of the lack of planning guidance mechanisms for the large-scale RIES in China, a method for RIES preliminary overall planning, focused on energy types and use, is proposed in this paper. A graph theory-based mathematical optimal model was established with the lifetime costs of the whole system as the economic goal, and an improved Prim algorithm was put forward to solve the costs of the transmission and distribution network with the dynamic weight set of pipeline flow. The model was solved by an algorithm based on the idea of a dynamic minimum spanning tree and optimal path planning. The model and method were applied in a China–U.S. low-carbon demonstration city to verify feasibility and validity. The results could help us to comprehensively integrate regional energy and accurately plan future cities.

Suggested Citation

  • Yingying Chen & Jian Zhu, 2019. "A Graph Theory-Based Method for Regional Integrated Energy Network Planning: A Case Study of a China–U.S. Low-Carbon Demonstration City," Energies, MDPI, vol. 12(23), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4491-:d:290788
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    1. Kauko, Hanne & Kvalsvik, Karoline Husevåg & Rohde, Daniel & Nord, Natasa & Utne, Åmund, 2018. "Dynamic modeling of local district heating grids with prosumers: A case study for Norway," Energy, Elsevier, vol. 151(C), pages 261-271.
    2. Ma, Weiwu & Fang, Song & Liu, Gang, 2017. "Hybrid optimization method and seasonal operation strategy for distributed energy system integrating CCHP, photovoltaic and ground source heat pump," Energy, Elsevier, vol. 141(C), pages 1439-1455.
    3. Thomas T. D. Tran & Amanda D. Smith, 2019. "Stochastic Optimization for Integration of Renewable Energy Technologies in District Energy Systems for Cost-Effective Use," Energies, MDPI, vol. 12(3), pages 1-26, February.
    4. Dongmei Zhao & Xuan Xia & Ran Tao, 2019. "Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System," Energies, MDPI, vol. 12(13), pages 1-22, July.
    5. Li, Yu & Rezgui, Yacine & Zhu, Hanxing, 2017. "District heating and cooling optimization and enhancement – Towards integration of renewables, storage and smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 281-294.
    6. Valerie Eveloy & Dereje S. Ayou, 2019. "Sustainable District Cooling Systems: Status, Challenges, and Future Opportunities, with Emphasis on Cooling-Dominated Regions," Energies, MDPI, vol. 12(2), pages 1-64, January.
    7. Rezaie, Behnaz & Rosen, Marc A., 2012. "District heating and cooling: Review of technology and potential enhancements," Applied Energy, Elsevier, vol. 93(C), pages 2-10.
    8. Bordin, Chiara & Gordini, Angelo & Vigo, Daniele, 2016. "An optimization approach for district heating strategic network design," European Journal of Operational Research, Elsevier, vol. 252(1), pages 296-307.
    9. Kristina Lygnerud, 2019. "Business Model Changes in District Heating: The Impact of the Technology Shift from the Third to the Fourth Generation," Energies, MDPI, vol. 12(9), pages 1-16, May.
    10. Marcin Rabe & Dalia Streimikiene & Yuriy Bilan, 2019. "EU Carbon Emissions Market Development and Its Impact on Penetration of Renewables in the Power Sector," Energies, MDPI, vol. 12(15), pages 1-20, August.
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