IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i8p2946-d795860.html
   My bibliography  Save this article

Tracing and Evaluating Life-Cycle Carbon Emissions of Urban Multi-Energy Systems

Author

Listed:
  • Xiaoming Zhou

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310063, China)

  • Maosheng Sang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310063, China)

  • Minglei Bao

    (College of Energy Engineering, Zhejiang University, Hangzhou 310063, China)

  • Yi Ding

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310063, China)

Abstract

With the acceleration of urbanization, urban multi-energy systems (UMESs) generate more and more carbon emissions, causing severe environmental issues. The carbon generated by UMESs includes not only emissions from the consumption of fossil fuels for electricity generation during operation phases, but also those from the transportation, extraction, and recycling of materials during construction phases. Meanwhile, as carbon emissions are delivered with the energy flow among devices in the UMES, they are distributed differently across devices. Under this background, analyzing the carbon emissions of UMESs considering different life-cycle phases (i.e., operation and construction) and carbon flow characteristics is essential for carbon reduction and environmental protection. Considering that, a novel framework for tracing and evaluating life-cycle carbon emissions of UMESs is proposed in this paper. Firstly, the carbon emission models of different devices in UMESs, including energy sources and energy hub (EH), are established considering both the construction and operation phases. On this basis, the carbon flow matrixes of EHs coupled with the energy flow model are formulated to trace the distribution of life-cycle carbon emissions in UMESs. Moreover, different evaluation indices including the device carbon distribution factor (DCDF) and consumer carbon distribution factor (CCDF) are proposed to quantify the carbon emissions of devices and consumers in UMESs. The case study results based on a typical test UMES are presented to verify the effectiveness of the proposed framework. The analysis results of the test system show that about 60% of carbon emissions are delivered to electricity loads and the construction-produced carbon emissions of energy sources and EH devices account for nearly 35% of total carbon emissions at some periods.

Suggested Citation

  • Xiaoming Zhou & Maosheng Sang & Minglei Bao & Yi Ding, 2022. "Tracing and Evaluating Life-Cycle Carbon Emissions of Urban Multi-Energy Systems," Energies, MDPI, vol. 15(8), pages 1-19, April.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2946-:d:795860
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/8/2946/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/8/2946/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Xiaoshun & Chen, Yixuan & Yu, Tao & Yang, Bo & Qu, Kaiping & Mao, Senmao, 2017. "Equilibrium-inspired multiagent optimizer with extreme transfer learning for decentralized optimal carbon-energy combined-flow of large-scale power systems," Applied Energy, Elsevier, vol. 189(C), pages 157-176.
    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. Kelly, K.A. & McManus, M.C. & Hammond, G.P., 2014. "An energy and carbon life cycle assessment of industrial CHP (combined heat and power) in the context of a low carbon UK," Energy, Elsevier, vol. 77(C), pages 812-821.
    4. Wang, Yunqi & Qiu, Jing & Tao, Yuechuan & Zhang, Xian & Wang, Guibin, 2020. "Low-carbon oriented optimal energy dispatch in coupled natural gas and electricity systems," Applied Energy, Elsevier, vol. 280(C).
    5. Vaghefi, A. & Jafari, M.A. & Bisse, Emmanuel & Lu, Y. & Brouwer, J., 2014. "Modeling and forecasting of cooling and electricity load demand," Applied Energy, Elsevier, vol. 136(C), pages 186-196.
    6. Umara Khan & Ron Zevenhoven & Tor-Martin Tveit, 2020. "Evaluation of the Environmental Sustainability of a Stirling Cycle-Based Heat Pump Using LCA," Energies, MDPI, vol. 13(17), pages 1-16, August.
    7. Chau, C.K. & Leung, T.M. & Ng, W.Y., 2015. "A review on Life Cycle Assessment, Life Cycle Energy Assessment and Life Cycle Carbon Emissions Assessment on buildings," Applied Energy, Elsevier, vol. 143(C), pages 395-413.
    8. 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.
    9. Moghaddam, Iman Gerami & Saniei, Mohsen & Mashhour, Elaheh, 2016. "A comprehensive model for self-scheduling an energy hub to supply cooling, heating and electrical demands of a building," Energy, Elsevier, vol. 94(C), pages 157-170.
    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. 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).
    2. van Stiphout, Arne & Virag, Ana & Kessels, Kris & Deconinck, Geert, 2018. "Benefits of a multi-energy day-ahead market," Energy, Elsevier, vol. 165(PB), pages 651-661.
    3. Ismail, M.S. & Moghavvemi, M. & Mahlia, T.M.I., 2013. "Energy trends in Palestinian territories of West Bank and Gaza Strip: Possibilities for reducing the reliance on external energy sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 117-129.
    4. Daniel Cardoso & Daniel Nunes & João Faria & Paulo Fael & Pedro D. Gaspar, 2023. "Intelligent Micro-Cogeneration Systems for Residential Grids: A Sustainable Solution for Efficient Energy Management," Energies, MDPI, vol. 16(13), pages 1-21, July.
    5. 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.
    6. Luigi Maffei & Antonio Ciervo & Achille Perrotta & Massimiliano Masullo & Antonio Rosato, 2023. "Innovative Energy-Efficient Prefabricated Movable Buildings for Smart/Co-Working: Performance Assessment upon Varying Building Configurations," Sustainability, MDPI, vol. 15(12), pages 1-37, June.
    7. Ciampi, Giovanni & Rosato, Antonio & Sibilio, Sergio, 2018. "Thermo-economic sensitivity analysis by dynamic simulations of a small Italian solar district heating system with a seasonal borehole thermal energy storage," Energy, Elsevier, vol. 143(C), pages 757-771.
    8. Adrian Neacșa & Mirela Panait & Jianu Daniel Mureșan & Marian Catalin Voica & Otilia Manta, 2022. "The Energy Transition between Desideratum and Challenge: Are Cogeneration and Trigeneration the Best Solution?," IJERPH, MDPI, vol. 19(5), pages 1-22, March.
    9. Farah Mneimneh & Hasan Ghazzawi & Seeram Ramakrishna, 2023. "Review Study of Energy Efficiency Measures in Favor of Reducing Carbon Footprint of Electricity and Power, Buildings, and Transportation," Circular Economy and Sustainability, Springer, vol. 3(1), pages 447-474, March.
    10. 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.
    11. Sibilio, Sergio & Rosato, Antonio & Ciampi, Giovanni & Scorpio, Michelangelo & Akisawa, Atsushi, 2017. "Building-integrated trigeneration system: Energy, environmental and economic dynamic performance assessment for Italian residential applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 920-933.
    12. 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.
    13. Caresana, Flavio & Brandoni, Caterina & Feliciotti, Petro & Bartolini, Carlo Maria, 2011. "Energy and economic analysis of an ICE-based variable speed-operated micro-cogenerator," Applied Energy, Elsevier, vol. 88(3), pages 659-671, March.
    14. Kazemi-Beydokhti, Amin & Zeinali Heris, Saeed, 2012. "Thermal optimization of combined heat and power (CHP) systems using nanofluids," Energy, Elsevier, vol. 44(1), pages 241-247.
    15. 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).
    16. María A. Quintás & Ana I. Martínez-Senra & Antonio Sartal, 2018. "The Role of SMEs’ Green Business Models in the Transition to a Low-Carbon Economy: Differences in Their Design and Degree of Adoption Stemming from Business Size," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    17. Sheykhi, Mohammad & Chahartaghi, Mahmood & Safaei Pirooz, Amir Ali & Flay, Richard G.J., 2020. "Investigation of the effects of operating parameters of an internal combustion engine on the performance and fuel consumption of a CCHP system," Energy, Elsevier, vol. 211(C).
    18. Compernolle, Tine & Witters, Nele & Van Passel, Steven & Thewys, Theo, 2011. "Analyzing a self-managed CHP system for greenhouse cultivation as a profitable way to reduce CO2-emissions," Energy, Elsevier, vol. 36(4), pages 1940-1947.
    19. 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.
    20. Fumo, Nelson & Mago, Pedro J. & Chamra, Louay M., 2009. "Analysis of cooling, heating, and power systems based on site energy consumption," Applied Energy, Elsevier, vol. 86(6), pages 928-932, June.

    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:jeners:v:15:y:2022:i:8:p:2946-:d:795860. 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.