IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v59y2016icp379-387.html
   My bibliography  Save this article

Effects of district heating networks on optimal energy flow of multi-carrier systems

Author

Listed:
  • Shabanpour-Haghighi, Amin
  • Seifi, Ali Reza

Abstract

A multi-carrier energy network is a system consists of several energy carriers such as electricity, natural gas, heat, etc. Generally, each transmission network is optimized separately but it could overshadow the actual optimal operation of the whole energy network. An integrated viewpoint opens a new window on optimization analysis. Among various networks, district heating networks are very promising for energy saving and carbon emission reduction. In this paper, effects of utilizing this network on optimization of a multi-carrier energy system are shown. However, such a problem has a considerable number of variables that makes a non-linear, non-convex, non-smooth, and high-dimension optimization problem and the optimal solution cannot be achieved by conventional mathematical techniques. Therefore, it is better to use evolutionary algorithms instead. In this paper, the well-known modified teaching-learning based optimization algorithm is used to solve the problem. Various simulations on a typical system show the impacts of a district heating network in the multi-carrier energy system.

Suggested Citation

  • Shabanpour-Haghighi, Amin & Seifi, Ali Reza, 2016. "Effects of district heating networks on optimal energy flow of multi-carrier systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 379-387.
    • Handle: RePEc:eee:rensus:v:59:y:2016:i:c:p:379-387
    DOI: 10.1016/j.rser.2015.12.349
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032116000022
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2015.12.349?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. Sartor, K. & Quoilin, S. & Dewallef, P., 2014. "Simulation and optimization of a CHP biomass plant and district heating network," Applied Energy, Elsevier, vol. 130(C), pages 474-483.
    2. Ghafghazi, S. & Sowlati, T. & Sokhansanj, S. & Bi, X. & Melin, S., 2011. "Particulate matter emissions from combustion of wood in district heating applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3019-3028, August.
    3. Persson, Urban & Werner, Sven, 2011. "Heat distribution and the future competitiveness of district heating," Applied Energy, Elsevier, vol. 88(3), pages 568-576, March.
    4. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
    5. Möller, Bernd & Lund, Henrik, 2010. "Conversion of individual natural gas to district heating: Geographical studies of supply costs and consequences for the Danish energy system," Applied Energy, Elsevier, vol. 87(6), pages 1846-1857, June.
    6. Shabanpour-Haghighi, Amin & Seifi, Ali Reza, 2015. "Multi-objective operation management of a multi-carrier energy system," Energy, Elsevier, vol. 88(C), pages 430-442.
    7. Gebremedhin, Alemayehu, 2014. "Optimal utilisation of heat demand in district heating system—A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 230-236.
    8. Ozgener, Leyla & Hepbasli, Arif & Dincer, Ibrahim, 2007. "A key review on performance improvement aspects of geothermal district heating systems and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(8), pages 1675-1697, October.
    9. Onovwiona, H.I. & Ugursal, V.I., 2006. "Residential cogeneration systems: review of the current technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(5), pages 389-431, October.
    10. Mancarella, Pierluigi & Chicco, Gianfranco, 2009. "Global and local emission impact assessment of distributed cogeneration systems with partial-load models," Applied Energy, Elsevier, vol. 86(10), pages 2096-2106, October.
    11. 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.
    12. Kjetil T. Midthun & Mette Bjorndal & Asgeir Tomasgard, 2009. "Modeling Optimal Economic Dispatch and System Effects in Natural Gas Networks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 155-180.
    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. Oduro, Richard A. & Taylor, Peter G., 2023. "Future pathways for energy networks: A review of international experiences in high income countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    2. Liu, Tianhao & Tian, Jun & Zhu, Hongyu & Goh, Hui Hwang & Liu, Hui & Wu, Thomas & Zhang, Dongdong, 2023. "Key technologies and developments of multi-energy system: Three-layer framework, modelling and optimisation," Energy, Elsevier, vol. 277(C).
    3. Salehimaleh, Mohammad & Akbarimajd, Adel & Valipour, Khalil & Dejamkhooy, Abdolmajid, 2018. "Generalized modeling and optimal management of energy hub based electricity, heat and cooling demands," Energy, Elsevier, vol. 159(C), pages 669-685.
    4. Chen, Binbin & Wu, Wenchuan & Guo, Qinglai & Sun, Hongbin, 2022. "An efficient optimal energy flow model for integrated energy systems based on energy circuit modeling in the frequency domain," Applied Energy, Elsevier, vol. 326(C).
    5. Calise, Francesco & Macaluso, Adriano & Piacentino, Antonio & Vanoli, Laura, 2017. "A novel hybrid polygeneration system supplying energy and desalinated water by renewable sources in Pantelleria Island," Energy, Elsevier, vol. 137(C), pages 1086-1106.
    6. Abdi, Hamdi & Beigvand, Soheil Derafshi & Scala, Massimo La, 2017. "A review of optimal power flow studies applied to smart grids and microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 742-766.
    7. Guan, Aobo & Zhou, Suyang & Gu, Wei & Liu, Zhong & Liu, Hengmen, 2022. "A novel dynamic simulation approach for Gas-Heat-Electric coupled system," Applied Energy, Elsevier, vol. 315(C).
    8. Lu, Shuai & Gu, Wei & Zhou, Jinhui & Zhang, Xuesong & Wu, Chenyu, 2018. "Coordinated dispatch of multi-energy system with district heating network: Modeling and solution strategy," Energy, Elsevier, vol. 152(C), pages 358-370.
    9. Beigvand, Soheil Derafshi & Abdi, Hamdi & La Scala, Massimo, 2017. "A general model for energy hub economic dispatch," Applied Energy, Elsevier, vol. 190(C), pages 1090-1111.
    10. Li, Jiaxi & Wang, Dan & Jia, Hongjie & Lei, Yang & Zhou, Tianshuo & Guo, Ying, 2022. "Mechanism analysis and unified calculation model of exergy flow distribution in regional integrated energy system," Applied Energy, Elsevier, vol. 324(C).
    11. Hossam A. Gabbar, 2021. "Modeling of Interconnected Infrastructures with Unified Interface Design toward Smart Cities," Energies, MDPI, vol. 14(15), pages 1-17, July.
    12. Omais Abdur Rehman & Valeria Palomba & Andrea Frazzica & Luisa F. Cabeza, 2021. "Enabling Technologies for Sector Coupling: A Review on the Role of Heat Pumps and Thermal Energy Storage," Energies, MDPI, vol. 14(24), pages 1-30, December.
    13. Alabi, Tobi Michael & Aghimien, Emmanuel I. & Agbajor, Favour D. & Yang, Zaiyue & Lu, Lin & Adeoye, Adebusola R. & Gopaluni, Bhushan, 2022. "A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems," Renewable Energy, Elsevier, vol. 194(C), pages 822-849.
    14. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    15. Zhang, Suhan & Gu, Wei & Lu, Hai & Qiu, Haifeng & Lu, Shuai & Wang, Dada & Liang, Junyu & Li, Wenyun, 2021. "Superposition-principle based decoupling method for energy flow calculation in district heating networks," Applied Energy, Elsevier, vol. 295(C).
    16. Bao, Shiyuan & Yang, Zhifang & Guo, Lin & Yu, Juan & Dai, Wei, 2020. "One-segment linearization modeling of electricity-gas system optimization," Energy, Elsevier, vol. 197(C).
    17. Mostafavi Sani, Mostafa & Mostafavi Sani, Hossein & Fowler, Michael & Elkamel, Ali & Noorpoor, Alireza & Ghasemi, Amir, 2022. "Optimal energy hub development to supply heating, cooling, electricity and freshwater for a coastal urban area taking into account economic and environmental factors," Energy, Elsevier, vol. 238(PB).
    18. Hoseini, Naghi & Sheikholeslami, Abdolreza & Barforoushi, Taghi & Latify, Mohammad Amin, 2020. "Preventive maintenance mid-term scheduling of resources in multi-carrier energy systems," Energy, Elsevier, vol. 197(C).
    19. Majidi, Majid & Nojavan, Sayyad & Zare, Kazem, 2017. "A cost-emission framework for hub energy system under demand response program," Energy, Elsevier, vol. 134(C), pages 157-166.
    20. Hosseini, Seyed Hamid Reza & Allahham, Adib & Walker, Sara Louise & Taylor, Phil, 2020. "Optimal planning and operation of multi-vector energy networks: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    21. Zhang, Guoqing & Wang, Jiangjiang & Ren, Fukang & Liu, Yi & Dong, Fuxiang, 2021. "Collaborative optimization for multiple energy stations in distributed energy network based on electricity and heat interchanges," Energy, Elsevier, vol. 222(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. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    2. Bartolozzi, Irene & Rizzi, Francesco & Frey, Marco, 2017. "Are district heating systems and renewable energy sources always an environmental win-win solution? A life cycle assessment case study in Tuscany, Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 408-420.
    3. Lake, Andrew & Rezaie, Behanz & Beyerlein, Steven, 2017. "Review of district heating and cooling systems for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 417-425.
    4. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    5. Guelpa, Elisa & Verda, Vittorio, 2020. "Automatic fouling detection in district heating substations: Methodology and tests," Applied Energy, Elsevier, vol. 258(C).
    6. Noussan, Michel & Jarre, Matteo & Poggio, Alberto, 2017. "Real operation data analysis on district heating load patterns," Energy, Elsevier, vol. 129(C), pages 70-78.
    7. Tereshchenko, Tymofii & Nord, Natasa, 2016. "Energy planning of district heating for future building stock based on renewable energies and increasing supply flexibility," Energy, Elsevier, vol. 112(C), pages 1227-1244.
    8. Persson, U. & Möller, B. & Werner, S., 2014. "Heat Roadmap Europe: Identifying strategic heat synergy regions," Energy Policy, Elsevier, vol. 74(C), pages 663-681.
    9. Persson, Urban & Wiechers, Eva & Möller, Bernd & Werner, Sven, 2019. "Heat Roadmap Europe: Heat distribution costs," Energy, Elsevier, vol. 176(C), pages 604-622.
    10. Rismanchi, B., 2017. "District energy network (DEN), current global status and future development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 571-579.
    11. Shabanpour-Haghighi, Amin & Seifi, Ali Reza, 2015. "Multi-objective operation management of a multi-carrier energy system," Energy, Elsevier, vol. 88(C), pages 430-442.
    12. Colmenar-Santos, Antonio & Rosales-Asensio, Enrique & Borge-Diez, David & Collado-Fernández, Eduardo, 2016. "Evaluation of the cost of using power plant reject heat in low-temperature district heating and cooling networks," Applied Energy, Elsevier, vol. 162(C), pages 892-907.
    13. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    14. Gebremedhin, Alemayehu, 2012. "Introducing District Heating in a Norwegian town – Potential for reduced Local and Global Emissions," Applied Energy, Elsevier, vol. 95(C), pages 300-304.
    15. Lizana, Jesús & Ortiz, Carlos & Soltero, Víctor M. & Chacartegui, Ricardo, 2017. "District heating systems based on low-carbon energy technologies in Mediterranean areas," Energy, Elsevier, vol. 120(C), pages 397-416.
    16. Pakere, Ieva & Gravelsins, Armands & Lauka, Dace & Bazbauers, Gatis & Blumberga, Dagnija, 2021. "Linking energy efficiency policies toward 4th generation district heating system," Energy, Elsevier, vol. 234(C).
    17. Björnebo, Lars & Spatari, Sabrina & Gurian, Patrick L., 2018. "A greenhouse gas abatement framework for investment in district heating," Applied Energy, Elsevier, vol. 211(C), pages 1095-1105.
    18. Thomas Krikser & Adriano Profeta & Sebastian Grimm & Heiko Huther, 2020. "Willingness-to-Pay for District Heating from Renewables of Private Households in Germany," Sustainability, MDPI, vol. 12(10), pages 1-14, May.
    19. Jie, Pengfei & Kong, Xiangfei & Rong, Xian & Xie, Shangqun, 2016. "Selecting the optimum pressure drop per unit length of district heating piping network based on operating strategies," Applied Energy, Elsevier, vol. 177(C), pages 341-353.
    20. Kaliatka, A. & Valinčius, M., 2012. "Modeling of pipe break accident in a district heating system using RELAP5 computer code," Energy, Elsevier, vol. 44(1), pages 813-819.

    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:rensus:v:59:y:2016:i:c:p:379-387. 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/600126/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.