IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v73y2014icp592-605.html
   My bibliography  Save this article

Modelling decentralised heat supply: An application and methodological extension in TIMES

Author

Listed:
  • Merkel, Erik
  • Fehrenbach, Daniel
  • McKenna, Russell
  • Fichtner, Wolf

Abstract

In optimisation models, the characteristic features of capacity investment and dispatch planning of supply technologies are well explored for electricity systems. Little attention to date has been paid to exploring these features in an adequate manner for heat systems. This paper discusses the implementation of decentralised residential heat supply in optimising energy system models and presents an application in TIMES, an energy system model with broad application. It is shown that standard TIMES does not allow for an appropriate implementation of residential heat systems. Consequently a two-part solution procedure is presented. A special integrated TIMES feature is explored and a tailor-made methodological extension of the TIMES standard code developed. Mixed integer programming is employed to accurately model the capacity planning of residential heat supply systems. Model results yielded by the new approach comply with the realistic capacity planning of heat supply systems in a shortened computation time. A case study for selected residential heat demand categories yields contrasting results for the mixed integer programme and the standard linear programme. The model’s extension to cover larger, centralised combined heat and power plants and district heating networks remains for further work; the lower solution times encountered seem promising in this respect.

Suggested Citation

  • Merkel, Erik & Fehrenbach, Daniel & McKenna, Russell & Fichtner, Wolf, 2014. "Modelling decentralised heat supply: An application and methodological extension in TIMES," Energy, Elsevier, vol. 73(C), pages 592-605.
    • Handle: RePEc:eee:energy:v:73:y:2014:i:c:p:592-605
    DOI: 10.1016/j.energy.2014.06.060
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544214007592
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2014.06.060?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. Henning, Dag, 1997. "MODEST—An energy-system optimisation model applicable to local utilities and countries," Energy, Elsevier, vol. 22(12), pages 1135-1150.
    2. Steele Santos, Paulo E. & Coradi Leme, Rafael & Galvão, Leandro, 2012. "On the electrical two-part tariff—The Brazilian perspective," Energy Policy, Elsevier, vol. 40(C), pages 123-130.
    3. Huisman, Ronald & Mahieu, Ronald & Schlichter, Felix, 2009. "Electricity portfolio management: Optimal peak/off-peak allocations," Energy Economics, Elsevier, vol. 31(1), pages 169-174, January.
    4. Ferrer-Martí, L. & Domenech, B. & García-Villoria, A. & Pastor, R., 2013. "A MILP model to design hybrid wind–photovoltaic isolated rural electrification projects in developing countries," European Journal of Operational Research, Elsevier, vol. 226(2), pages 293-300.
    5. Fehrenbach, Daniel & Merkel, Erik & McKenna, Russell & Karl, Ute & Fichtner, Wolf, 2014. "On the economic potential for electric load management in the German residential heating sector – An optimising energy system model approach," Energy, Elsevier, vol. 71(C), pages 263-276.
    6. Kannan, Ramachandran & Strachan, Neil, 2009. "Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches," Applied Energy, Elsevier, vol. 86(4), pages 416-428, April.
    7. Assoumou, Edi & Maïzi, Nadia, 2011. "Carbon value dynamics for France: A key driver to support mitigation pledges at country scale," Energy Policy, Elsevier, vol. 39(7), pages 4325-4336, July.
    8. Hu, Mengqi & Weir, Jeffery D. & Wu, Teresa, 2012. "Decentralized operation strategies for an integrated building energy system using a memetic algorithm," European Journal of Operational Research, Elsevier, vol. 217(1), pages 185-197.
    9. Milan, Christian & Bojesen, Carsten & Nielsen, Mads Pagh, 2012. "A cost optimization model for 100% renewable residential energy supply systems," Energy, Elsevier, vol. 48(1), pages 118-127.
    10. Schlereth, Christian & Stepanchuk, Tanja & Skiera, Bernd, 2010. "Optimization and analysis of the profitability of tariff structures with two-part tariffs," European Journal of Operational Research, Elsevier, vol. 206(3), pages 691-701, November.
    11. Chiodi, Alessandro & Gargiulo, Maurizio & Rogan, Fionn & Deane, J.P. & Lavigne, Denis & Rout, Ullash K. & Ó Gallachóir, Brian P., 2013. "Modelling the impacts of challenging 2050 European climate mitigation targets on Ireland’s energy system," Energy Policy, Elsevier, vol. 53(C), pages 169-189.
    12. Michelsen, Carl Christian & Madlener, Reinhard, 2011. "Homeowners' Preferences for Adopting Residential Heating Systems: A Discrete Choice Analysis for Germany," FCN Working Papers 9/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    13. Lozano, Miguel A. & Ramos, Jose C. & Serra, Luis M., 2010. "Cost optimization of the design of CHCP (combined heat, cooling and power) systems under legal constraints," Energy, Elsevier, vol. 35(2), pages 794-805.
    14. Mahapatra, Krushna & Gustavsson, Leif, 2008. "An adopter-centric approach to analyze the diffusion patterns of innovative residential heating systems in Sweden," Energy Policy, Elsevier, vol. 36(2), pages 577-590, February.
    15. Rosen, Johannes & Tietze-Stöckinger, Ingela & Rentz, Otto, 2007. "Model-based analysis of effects from large-scale wind power production," Energy, Elsevier, vol. 32(4), pages 575-583.
    16. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    17. Pina, André & Silva, Carlos & Ferrão, Paulo, 2011. "Modeling hourly electricity dynamics for policy making in long-term scenarios," Energy Policy, Elsevier, vol. 39(9), pages 4692-4702, September.
    18. Anandarajah, Gabrial & Strachan, Neil, 2010. "Interactions and implications of renewable and climate change policy on UK energy scenarios," Energy Policy, Elsevier, vol. 38(11), pages 6724-6735, November.
    19. Stadler, Michael & Kranzl, Lukas & Huber, Claus & Haas, Reinhard & Tsioliaridou, Elena, 2007. "Policy strategies and paths to promote sustainable energy systems--The dynamic Invert simulation tool," Energy Policy, Elsevier, vol. 35(1), pages 597-608, January.
    20. Reneses, Javier & Gómez, Tomás & Rivier, Juan & Angarita, Jorge L., 2011. "Electricity tariff design for transition economies: Application to the Libyan power system," Energy Economics, Elsevier, vol. 33(1), pages 33-43, January.
    21. Simões, Sofia & Cleto, João & Fortes, Patri­cia & Seixas, Júlia & Huppes, Gjalt, 2008. "Cost of energy and environmental policy in Portuguese CO2 abatement--scenario analysis to 2020," Energy Policy, Elsevier, vol. 36(9), pages 3598-3611, September.
    22. Rodri­guez Ortega, Mari­a Pi­a & Pérez-Arriaga, J. Ignacio & Abbad, Juan Rivier & González, Jesús Peco, 2008. "Distribution network tariffs: A closed question?," Energy Policy, Elsevier, vol. 36(5), pages 1712-1725, May.
    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. Yanık, Seda & Sürer, Özge & Öztayşi, Başar, 2016. "Designing sustainable energy regions using genetic algorithms and location-allocation approach," Energy, Elsevier, vol. 97(C), pages 161-172.
    2. Bloess, Andreas, 2019. "Impacts of heat sector transformation on Germany’s power system through increased use of power-to-heat," Applied Energy, Elsevier, vol. 239(C), pages 560-580.
    3. Mondal, Md. Alam Hossain & Ringler, Claudia & Al-Riffai, Perrihan & Eldidi, Hagar & Breisinger, Clemens & Wiebelt, Manfred, 2019. "Long-term optimization of Egypt’s power sector: Policy implications," Energy, Elsevier, vol. 166(C), pages 1063-1073.
    4. Heinen, Steve & Turner, William & Cradden, Lucy & McDermott, Frank & O'Malley, Mark, 2017. "Electrification of residential space heating considering coincidental weather events and building thermal inertia: A system-wide planning analysis," Energy, Elsevier, vol. 127(C), pages 136-154.
    5. Park, Nyun-Bae & Park, Sang Yong & Kim, Jong-Jin & Choi, Dong Gu & Yun, Bo Yeong & Hong, Jong Chul, 2017. "Technical and economic potential of highly efficient boiler technologies in the Korean industrial sector," Energy, Elsevier, vol. 121(C), pages 884-891.
    6. Bloess, Andreas & Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials," Applied Energy, Elsevier, vol. 212(C), pages 1611-1626.
    7. Schütz, Thomas & Schraven, Markus Hans & Remy, Sebastian & Granacher, Julia & Kemetmüller, Dominik & Fuchs, Marcus & Müller, Dirk, 2017. "Optimal design of energy conversion units for residential buildings considering German market conditions," Energy, Elsevier, vol. 139(C), pages 895-915.
    8. Lee, Hwarang & Eom, Jiyong & Cho, Cheolhung & Koo, Yoonmo, 2019. "A bottom-up model of industrial energy system with positive mathematical programming," Energy, Elsevier, vol. 173(C), pages 679-690.
    9. McKenna, R. & Djapic, P. & Weinand, J. & Fichtner, W. & Strbac, G., 2018. "Assessing the implications of socioeconomic diversity for low carbon technology uptake in electrical distribution networks," Applied Energy, Elsevier, vol. 210(C), pages 856-869.
    10. Atabaki, Mohammad Saeid & Aryanpur, Vahid, 2018. "Multi-objective optimization for sustainable development of the power sector: An economic, environmental, and social analysis of Iran," Energy, Elsevier, vol. 161(C), pages 493-507.
    11. Chen, Yi-kuang & Jensen, Ida Græsted & Kirkerud, Jon Gustav & Bolkesjø, Torjus Folsland, 2021. "Impact of fossil-free decentralized heating on northern European renewable energy deployment and the power system," Energy, Elsevier, vol. 219(C).
    12. Vijay, Avinash & Hawkes, Adam, 2018. "Impact of dynamic aspects on economics of fuel cell based micro co-generation in low carbon futures," Energy, Elsevier, vol. 155(C), pages 874-886.
    13. Mondal, Md Alam Hossain & Ringler, Claudia, 2020. "Long-term optimization of regional power sector development: Potential for cooperation in the Eastern Nile region?," Energy, Elsevier, vol. 201(C).
    14. Bloess, Andreas & Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials," Applied Energy, Elsevier, vol. 212(C), pages 1611-1626.
    15. Rečka, L. & Ščasný, M., 2016. "Impacts of carbon pricing, brown coal availability and gas cost on Czech energy system up to 2050," Energy, Elsevier, vol. 108(C), pages 19-33.
    16. Ma, Sining & Guo, Siyue & Zheng, Dingqian & Chang, Shiyan & Zhang, Xiliang, 2021. "Roadmap towards clean and low carbon heating to 2035: A provincial analysis in northern China," Energy, Elsevier, vol. 225(C).
    17. Valeriya Azarova & Mathias Mier, 2021. "Unraveling the Black Box of Power Market Models," ifo Working Paper Series 357, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    18. Avinash Vijay & Adam Hawkes, 2017. "The Techno-Economics of Small-Scale Residential Heating in Low Carbon Futures," Energies, MDPI, vol. 10(11), pages 1-23, November.
    19. Hagos, Dejene Assefa & Gebremedhin, Alemayehu & Bolkesjø, Torjus Folsland, 2017. "The prospects of bioenergy in the future energy system of Inland Norway," Energy, Elsevier, vol. 121(C), pages 78-91.
    20. Juroszek, Zbigniew & Kudelko, Mariusz, 2016. "A model of optimization for local energy infrastructure development," Energy, Elsevier, vol. 96(C), pages 625-643.

    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. Steele Santos, Paulo E. & Coradi Leme, Rafael & Galvão, Leandro, 2012. "On the electrical two-part tariff—The Brazilian perspective," Energy Policy, Elsevier, vol. 40(C), pages 123-130.
    2. Hickey, Conor & Deane, Paul & McInerney, Celine & Ó Gallachóir, Brian, 2019. "Is there a future for the gas network in a low carbon energy system?," Energy Policy, Elsevier, vol. 126(C), pages 480-493.
    3. Dedinec, Aleksandar & Taseska-Gjorgievska, Verica & Markovska, Natasa & Pop-Jordanov, Jordan & Kanevce, Gligor & Goldstein, Gary & Pye, Steve & Taleski, Rubin, 2016. "Low emissions development pathways of the Macedonian energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1202-1211.
    4. Avinash Vijay & Adam Hawkes, 2017. "The Techno-Economics of Small-Scale Residential Heating in Low Carbon Futures," Energies, MDPI, vol. 10(11), pages 1-23, November.
    5. Fortes, Patrícia & Alvarenga, António & Seixas, Júlia & Rodrigues, Sofia, 2015. "Long-term energy scenarios: Bridging the gap between socio-economic storylines and energy modeling," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 161-178.
    6. Fehrenbach, Daniel & Merkel, Erik & McKenna, Russell & Karl, Ute & Fichtner, Wolf, 2014. "On the economic potential for electric load management in the German residential heating sector – An optimising energy system model approach," Energy, Elsevier, vol. 71(C), pages 263-276.
    7. Hall, Lisa M.H. & Buckley, Alastair R., 2016. "A review of energy systems models in the UK: Prevalent usage and categorisation," Applied Energy, Elsevier, vol. 169(C), pages 607-628.
    8. Vijay, Avinash & Hawkes, Adam, 2018. "Impact of dynamic aspects on economics of fuel cell based micro co-generation in low carbon futures," Energy, Elsevier, vol. 155(C), pages 874-886.
    9. Poncelet, Kris & Delarue, Erik & Six, Daan & Duerinck, Jan & D’haeseleer, William, 2016. "Impact of the level of temporal and operational detail in energy-system planning models," Applied Energy, Elsevier, vol. 162(C), pages 631-643.
    10. Chiodi, Alessandro & Gargiulo, Maurizio & Deane, J.P. & Lavigne, Denis & Rout, Ullash K. & Ó Gallachóir, Brian P., 2013. "Modelling the impacts of challenging 2020 non-ETS GHG emissions reduction targets on Ireland′s energy system," Energy Policy, Elsevier, vol. 62(C), pages 1438-1452.
    11. Venter, Philip van Zyl & Terblanche, Stephanus Esias & van Eldik, Martin, 2018. "Turbine investment optimisation for energy recovery plants by utilising historic steam flow profiles," Energy, Elsevier, vol. 155(C), pages 668-677.
    12. Blanco, Herib & Gómez Vilchez, Jonatan J. & Nijs, Wouter & Thiel, Christian & Faaij, André, 2019. "Soft-linking of a behavioral model for transport with energy system cost optimization applied to hydrogen in EU," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    13. McKenna, Russell & Merkel, Erik & Fichtner, Wolf, 2017. "Energy autonomy in residential buildings: A techno-economic model-based analysis of the scale effects," Applied Energy, Elsevier, vol. 189(C), pages 800-815.
    14. Fortes, Patrícia & Simoes, Sofia G. & Gouveia, João Pedro & Seixas, Júlia, 2019. "Electricity, the silver bullet for the deep decarbonisation of the energy system? Cost-effectiveness analysis for Portugal," Applied Energy, Elsevier, vol. 237(C), pages 292-303.
    15. Camille Pajot & Nils Artiges & Benoit Delinchant & Simon Rouchier & Frédéric Wurtz & Yves Maréchal, 2019. "An Approach to Study District Thermal Flexibility Using Generative Modeling from Existing Data," Energies, MDPI, vol. 12(19), pages 1-22, September.
    16. Dupont, B. & De Jonghe, C. & Olmos, L. & Belmans, R., 2014. "Demand response with locational dynamic pricing to support the integration of renewables," Energy Policy, Elsevier, vol. 67(C), pages 344-354.
    17. Scheller, Fabian & Bruckner, Thomas, 2019. "Energy system optimization at the municipal level: An analysis of modeling approaches and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 444-461.
    18. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
    19. Yang, Yun & Zhang, Shijie & Xiao, Yunhan, 2015. "An MILP (mixed integer linear programming) model for optimal design of district-scale distributed energy resource systems," Energy, Elsevier, vol. 90(P2), pages 1901-1915.
    20. Wouters, Carmen & Fraga, Eric S. & James, Adrian M., 2015. "An energy integrated, multi-microgrid, MILP (mixed-integer linear programming) approach for residential distributed energy system planning – A South Australian case-study," Energy, Elsevier, vol. 85(C), pages 30-44.

    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:energy:v:73:y:2014:i:c:p:592-605. 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.journals.elsevier.com/energy .

    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.