IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v100y2017icp170-180.html
   My bibliography  Save this article

Scaling up local energy infrastructure; An agent-based model of the emergence of district heating networks

Author

Listed:
  • Busch, Jonathan
  • Roelich, Katy
  • Bale, Catherine S.E.
  • Knoeri, Christof

Abstract

The potential contribution of local energy infrastructure – such as heat networks – to the transition to a low carbon economy is increasingly recognised in international, national and municipal policy. Creating the policy environment to foster the scaling up of local energy infrastructure is, however, still challenging; despite national policy action and local authority interest the growth of heat networks in UK cities remains slow. Techno-economic energy system models commonly used to inform policy are not designed to address institutional and governance barriers. We present an agent-based model of heat network development in UK cities in which policy interventions aimed at the institutional and governance barriers faced by diverse actors can be explored. Three types of project instigators are included – municipal, commercial and community – which have distinct decision heuristics and capabilities and follow a multi-stage development process. Scenarios of policy interventions developed in a companion modelling approach indicate that the effect of interventions differs between actors depending on their capabilities. Successful interventions account for the specific motivations and capabilities of different actors, provide a portfolio of support along the development process and recognise the important strategic role of local authorities in supporting low carbon energy infrastructure.

Suggested Citation

  • Busch, Jonathan & Roelich, Katy & Bale, Catherine S.E. & Knoeri, Christof, 2017. "Scaling up local energy infrastructure; An agent-based model of the emergence of district heating networks," Energy Policy, Elsevier, vol. 100(C), pages 170-180.
  • Handle: RePEc:eee:enepol:v:100:y:2017:i:c:p:170-180
    DOI: 10.1016/j.enpol.2016.10.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421516305560
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2016.10.011?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. Ruud Kempener & Jessica Beck & Jim Petrie, 2009. "Design and Analysis of Bioenergy Networks," Journal of Industrial Ecology, Yale University, vol. 13(2), pages 284-305, April.
    2. Bale, Catherine S.E. & Foxon, Timothy J. & Hannon, Matthew J. & Gale, William F., 2012. "Strategic energy planning within local authorities in the UK: A study of the city of Leeds," Energy Policy, Elsevier, vol. 48(C), pages 242-251.
    3. Steve Bankes, 2009. "Models as lab equipment: science from computational experiments," Computational and Mathematical Organization Theory, Springer, vol. 15(1), pages 8-10, March.
    4. Christof Knoeri & Igor Nikolic & Hans-Joerg Althaus & Claudia R. Binder, 2014. "Enhancing Recycling of Construction Materials: An Agent Based Model with Empirically Based Decision Parameters," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(3), pages 1-10.
    5. Robinson, Scott A. & Rai, Varun, 2015. "Determinants of spatio-temporal patterns of energy technology adoption: An agent-based modeling approach," Applied Energy, Elsevier, vol. 151(C), pages 273-284.
    6. Christophe Le Page & Kadiri Serge Bobo & Towa Olivier William Kamgaing & Bobo Fernanda Ngahane & Matthias Waltert, 2015. "Interactive Simulations with a Stylized Scale Model to Codesign with Villagers an Agent-Based Model of Bushmeat Hunting in the Periphery of Korup National Park (Cameroon)," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(1), pages 1-8.
    7. Alanne, Kari & Saari, Arto, 2006. "Distributed energy generation and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(6), pages 539-558, December.
    8. O'Brien, Geoff & Hope, Alex, 2010. "Localism and energy: Negotiating approaches to embedding resilience in energy systems," Energy Policy, Elsevier, vol. 38(12), pages 7550-7558, December.
    9. Roger Fouquet & Peter J. G. Pearson, 1998. "A Thousand Years of Energy Use in the United Kingdom," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 1-41.
    10. Hecher, Maria & Vilsmaier, Ulli & Akhavan, Roya & Binder, Claudia R., 2016. "An integrative analysis of energy transitions in energy regions: A case study of ökoEnergieland in Austria," Ecological Economics, Elsevier, vol. 121(C), pages 40-53.
    11. Andrea L. Hicks & Thomas L. Theis & Moira L. Zellner, 2015. "Emergent Effects of Residential Lighting Choices: Prospects for Energy Savings," Journal of Industrial Ecology, Yale University, vol. 19(2), pages 285-295, April.
    12. Eriksson, Ola & Finnveden, Goran & Ekvall, Tomas & Bjorklund, Anna, 2007. "Life cycle assessment of fuels for district heating: A comparison of waste incineration, biomass- and natural gas combustion," Energy Policy, Elsevier, vol. 35(2), pages 1346-1362, February.
    13. Henry Chesbrough & Richard S. Rosenbloom, 2002. "The role of the business model in capturing value from innovation: evidence from Xerox Corporation's technology spin-off companies," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(3), pages 529-555, June.
    14. Seyfang, Gill & Park, Jung Jin & Smith, Adrian, 2013. "A thousand flowers blooming? An examination of community energy in the UK," Energy Policy, Elsevier, vol. 61(C), pages 977-989.
    15. Christof Knoeri & Claudia R. Binder & Hans-Joerg Althaus, 2011. "An Agent Operationalization Approach for Context Specific Agent-Based Modeling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 14(2), pages 1-4.
    16. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
    17. Noam Bergman & Alex Haxeltine & Lorraine Whitmarsh & Jonathan Köhler & Michel Schilperoord & Jan Rotmans, 2008. "Modelling Socio-Technical Transition Patterns and Pathways," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-7.
    18. Wolf, Ingo & Schröder, Tobias & Neumann, Jochen & de Haan, Gerhard, 2015. "Changing minds about electric cars: An empirically grounded agent-based modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 269-285.
    19. Mitchell, Catherine & Woodman, Bridget, 2010. "Towards trust in regulation--moving to a public value regulation," Energy Policy, Elsevier, vol. 38(6), pages 2644-2651, June.
    20. Foxon, Timothy J., 2011. "A coevolutionary framework for analysing a transition to a sustainable low carbon economy," Ecological Economics, Elsevier, vol. 70(12), pages 2258-2267.
    21. Faber, Albert & Valente, Marco & Janssen, Peter, 2010. "Exploring domestic micro-cogeneration in the Netherlands: An agent-based demand model for technology diffusion," Energy Policy, Elsevier, vol. 38(6), pages 2763-2775, June.
    22. Eppstein, Margaret J. & Grover, David K. & Marshall, Jeffrey S. & Rizzo, Donna M., 2011. "An agent-based model to study market penetration of plug-in hybrid electric vehicles," Energy Policy, Elsevier, vol. 39(6), pages 3789-3802, June.
    23. Hannon, Matthew J. & Foxon, Timothy J. & Gale, William F., 2013. "The co-evolutionary relationship between Energy Service Companies and the UK energy system: Implications for a low-carbon transition," Energy Policy, Elsevier, vol. 61(C), pages 1031-1045.
    24. Maya Sopha, Bertha & Klöckner, Christian A. & Hertwich, Edgar G., 2011. "Exploring policy options for a transition to sustainable heating system diffusion using an agent-based simulation," Energy Policy, Elsevier, vol. 39(5), pages 2722-2729, May.
    25. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    26. Paul Guyot & Shinichi Honiden, 2006. "Agent-Based Participatory Simulations: Merging Multi-Agent Systems and Role-Playing Games," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-8.
    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. Fuentes González, Fabián & Webb, Janette & Sharmina, Maria & Hannon, Matthew & Braunholtz-Speight, Timothy & Pappas, Dimitrios, 2022. "Local energy businesses in the United Kingdom: Clusters and localism determinants based on financial ratios," Energy, Elsevier, vol. 239(PB).
    2. Fouladvand, Javanshir & Aranguren Rojas, Maria & Hoppe, Thomas & Ghorbani, Amineh, 2022. "Simulating thermal energy community formation: Institutional enablers outplaying technological choice," Applied Energy, Elsevier, vol. 306(PA).
    3. Huang, Zishuo & Yu, Hang & Chu, Xiangyang & Peng, Zhenwei, 2017. "A goal programming based model system for community energy plan," Energy, Elsevier, vol. 134(C), pages 893-901.
    4. Fuentes González, Fabián & Webb, Janette & Sharmina, Maria & Hannon, Matthew & Pappas, Dimitrios & Tingey, Margaret, 2021. "Characterising a local energy business sector in the United Kingdom: Participants, revenue sources, and estimates of localism and smartness," Energy, Elsevier, vol. 223(C).
    5. Herreras Martínez, Sara & Harmsen, Robert & Menkveld, Marijke & Faaij, André & Kramer, Gert Jan, 2022. "Municipalities as key actors in the heat transition to decarbonise buildings: Experiences from local planning and implementation in a learning context," Energy Policy, Elsevier, vol. 169(C).
    6. Li, Pei-Hao & Barazza, Elsa & Strachan, Neil, 2022. "The influences of non-optimal investments on the scale-up of smart local energy systems in the UK electricity market," Energy Policy, Elsevier, vol. 170(C).
    7. González, Arnau & Arranz-Piera, Pol & Olives, Borja & Ivancic, Aleksandar & Pagà, Conrad & Cortina, Marc, 2023. "Thermal energy community-based multi-dimensional business model framework and critical success factors investigation in the mediterranean region of the EU," Technology in Society, Elsevier, vol. 75(C).
    8. Nava-Guerrero, Graciela-del-Carmen & Hansen, Helle Hvid & Korevaar, Gijsbert & Lukszo, Zofia, 2022. "An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions," Applied Energy, Elsevier, vol. 306(PB).
    9. Xifeng Wu & Sijia Zhao & Yue Shen & Hatef Madani & Yu Chen, 2020. "A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis," Energies, MDPI, vol. 13(19), pages 1-21, September.
    10. Barazza, Elsa & Strachan, Neil, 2020. "The impact of heterogeneous market players with bounded-rationality on the electricity sector low-carbon transition," Energy Policy, Elsevier, vol. 138(C).
    11. Nava-Guerrero, Graciela-del-Carmen & Hansen, Helle Hvid & Korevaar, Gijsbert & Lukszo, Zofia, 2021. "The effect of group decisions in heat transitions: An agent-based approach," Energy Policy, Elsevier, vol. 156(C).
    12. Fouladvand, Javanshir, 2022. "Behavioural attributes towards collective energy security in thermal energy communities: Environmental-friendly behaviour matters," Energy, Elsevier, vol. 261(PB).
    13. Liu, Liansheng & Wang, Dongji & Gao, Liwei & Duan, Runze, 2020. "Distributed heating/centralized monitoring mode of biomass briquette fuel in Chinese northern rural areas," Renewable Energy, Elsevier, vol. 147(P1), pages 1221-1230.
    14. Pardo-Bosch, Francesc & Blanco, Ana & Mendoza, Nora & Libreros, Bibiana & Tejedor, Blanca & Pujadas, Pablo, 2023. "Sustainable deployment of energy efficient district heating: city business model," Energy Policy, Elsevier, vol. 181(C).
    15. Birgit A. Henrich & Thomas Hoppe & Devin Diran & Zofia Lukszo, 2021. "The Use of Energy Models in Local Heating Transition Decision Making: Insights from Ten Municipalities in The Netherlands," Energies, MDPI, vol. 14(2), pages 1-23, January.

    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. Hall, Stephen & Roelich, Katy, 2016. "Business model innovation in electricity supply markets: The role of complex value in the United Kingdom," Energy Policy, Elsevier, vol. 92(C), pages 286-298.
    2. Hidayatno, Akhmad & Jafino, Bramka Arga & Setiawan, Andri D. & Purwanto, Widodo Wahyu, 2020. "When and why does transition fail? A model-based identification of adoption barriers and policy vulnerabilities for transition to natural gas vehicles," Energy Policy, Elsevier, vol. 138(C).
    3. Hesselink, Laurens X.W. & Chappin, Emile J.L., 2019. "Adoption of energy efficient technologies by households – Barriers, policies and agent-based modelling studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 29-41.
    4. Scheller, Fabian & Johanning, Simon & Bruckner, Thomas, 2019. "A review of designing empirically grounded agent-based models of innovation diffusion: Development process, conceptual foundation and research agenda," Contributions of the Institute for Infrastructure and Resources Management 01/2019, University of Leipzig, Institute for Infrastructure and Resources Management.
    5. Arfaoui, Nabila & Brouillat, Eric & Saint Jean, Maïder, 2014. "Policy design and technological substitution: Investigating the REACH regulation in an agent-based model," Ecological Economics, Elsevier, vol. 107(C), pages 347-365.
    6. Bale, Catherine S.E. & Varga, Liz & Foxon, Timothy J., 2015. "Energy and complexity: New ways forward," Applied Energy, Elsevier, vol. 138(C), pages 150-159.
    7. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    8. Nava-Guerrero, Graciela-del-Carmen & Hansen, Helle Hvid & Korevaar, Gijsbert & Lukszo, Zofia, 2022. "An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions," Applied Energy, Elsevier, vol. 306(PB).
    9. Nava-Guerrero, Graciela-del-Carmen & Hansen, Helle Hvid & Korevaar, Gijsbert & Lukszo, Zofia, 2021. "The effect of group decisions in heat transitions: An agent-based approach," Energy Policy, Elsevier, vol. 156(C).
    10. Helms, Thorsten, 2016. "Asset transformation and the challenges to servitize a utility business model," Energy Policy, Elsevier, vol. 91(C), pages 98-112.
    11. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    12. Hassan Qudrat-Ullah & Mark McCarthy Akrofi & Aymen Kayal, 2020. "Analyzing Actors’ Engagement in Sustainable Energy Planning at the Local Level in Ghana: An Empirical Study," Energies, MDPI, vol. 13(8), pages 1-20, April.
    13. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
    14. Scheller, Fabian & Johanning, Simon & Bruckner, Thomas, 2018. "IRPsim: A techno-socio-economic energy system model vision for business strategy assessment at municipal level," Contributions of the Institute for Infrastructure and Resources Management 02/2018, University of Leipzig, Institute for Infrastructure and Resources Management.
    15. Evangelos Panos & Stavroula Margelou, 2019. "Long-Term Solar Photovoltaics Penetration in Single- and Two-Family Houses in Switzerland," Energies, MDPI, vol. 12(13), pages 1-33, June.
    16. Claudia R. Binder & Susan Mühlemeier & Romano Wyss, 2017. "An Indicator-Based Approach for Analyzing the Resilience of Transitions for Energy Regions. Part I: Theoretical and Conceptual Considerations," Energies, MDPI, vol. 10(1), pages 1-18, January.
    17. Chappin, Emile J.L. & Schleich, Joachim & Guetlein, Marie-Charlotte & Faure, Corinne & Bouwmans, Ivo, 2022. "Linking of a multi-country discrete choice experiment and an agent-based model to simulate the diffusion of smart thermostats," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    18. Brown, Donal & Hall, Stephen & Davis, Mark E., 2019. "Prosumers in the post subsidy era: an exploration of new prosumer business models in the UK," Energy Policy, Elsevier, vol. 135(C).
    19. Claire Copeland & Britta Turner & Gareth Powells & Kevin Wilson, 2022. "In Search of Complementarity: Insights from an Exercise in Quantifying Qualitative Energy Futures," Energies, MDPI, vol. 15(15), pages 1-21, July.
    20. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.

    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:enepol:v:100:y:2017:i:c:p:170-180. 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/locate/enpol .

    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.