IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v56y2013icp233-247.html
   My bibliography  Save this article

Scenario-based modelling of future residential electricity demands and assessing their impact on distribution grids

Author

Listed:
  • Veldman, Else
  • Gibescu, Madeleine
  • Slootweg, Han (J.G.)
  • Kling, Wil L.

Abstract

New developments towards a more sustainable energy delivery system require electricity distribution grids that support distributed generation and a potential increase in electricity demand. In this article, the impact of changes in future residential use on the electricity distribution grids is assessed by using a scenario-based methodology to model residential loads. It illustrates that scenarios resulting from varied economic and demographic developments, but also driven by the focus of energy policies, can have considerable consequences on the loading and the resulting required network capacities of electricity distribution grids. A strategy for network operators to cope with these changes and optimise the utilisation of their grids is to use the possibilities to control flexible loads to reduce peak loads and shift demands. This article shows that if these loads can be managed in such way, the electricity profiles can be flattened significantly. For the case of the Netherlands, the peak demands in residential areas can be reduced with 35–67% in various scenarios. Load-flow analyses of medium voltage networks show that a load management strategy to reduce peak demands can realise a reduction of 21–40% for required capacity of cables and transformers. This makes a reduction 45–72% in investment costs possible.

Suggested Citation

  • Veldman, Else & Gibescu, Madeleine & Slootweg, Han (J.G.) & Kling, Wil L., 2013. "Scenario-based modelling of future residential electricity demands and assessing their impact on distribution grids," Energy Policy, Elsevier, vol. 56(C), pages 233-247.
  • Handle: RePEc:eee:enepol:v:56:y:2013:i:c:p:233-247
    DOI: 10.1016/j.enpol.2012.12.078
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421513000189
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2012.12.078?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. Faruqui, Ahmad & Harris, Dan & Hledik, Ryan, 2010. "Unlocking the [euro]53 billion savings from smart meters in the EU: How increasing the adoption of dynamic tariffs could make or break the EU's smart grid investment," Energy Policy, Elsevier, vol. 38(10), pages 6222-6231, October.
    2. Shaw, Rita & Attree, Mike & Jackson, Tim, 2010. "Developing electricity distribution networks and their regulation to support sustainable energy," Energy Policy, Elsevier, vol. 38(10), pages 5927-5937, October.
    3. McDonald, Jim, 2008. "Adaptive intelligent power systems: Active distribution networks," Energy Policy, Elsevier, vol. 36(12), pages 4346-4351, December.
    4. Verbong, Geert & Geels, Frank, 2007. "The ongoing energy transition: Lessons from a socio-technical, multi-level analysis of the Dutch electricity system (1960-2004)," Energy Policy, Elsevier, vol. 35(2), pages 1025-1037, February.
    5. Blokhuis, Erik & Brouwers, Bart & van der Putten, Eric & Schaefer, Wim, 2011. "Peak loads and network investments in sustainable energy transitions," Energy Policy, Elsevier, vol. 39(10), pages 6220-6233, October.
    6. E. Veldman & D.A.M. Geldtmeijer & J. D. Knigge & H. Slootweg, 2010. "Smart Grids Put into Practice: Technological and Regulatory Aspects," Competition and Regulation in Network Industries, Intersentia, vol. 11(3), pages 287-307, September.
    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. Pereira, Guillermo Ivan & Specht, Jan Martin & Silva, Patrícia Pereira & Madlener, Reinhard, 2018. "Technology, business model, and market design adaptation toward smart electricity distribution: Insights for policy making," Energy Policy, Elsevier, vol. 121(C), pages 426-440.
    2. Mashlakov, Aleksei & Pournaras, Evangelos & Nardelli, Pedro H.J. & Honkapuro, Samuli, 2021. "Decentralized cooperative scheduling of prosumer flexibility under forecast uncertainties," Applied Energy, Elsevier, vol. 290(C).
    3. Harbrecht, Alexander & McKenna, Russell & Fischer, David & Fichtner, Wolf, 2018. "Behavior-oriented modeling of electric vehicle load profiles: A stochastic simulation model considering different household characteristics, charging decisions and locations," Working Paper Series in Production and Energy 29, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    4. Kubli, Merla & Loock, Moritz & Wüstenhagen, Rolf, 2018. "The flexible prosumer: Measuring the willingness to co-create distributed flexibility," Energy Policy, Elsevier, vol. 114(C), pages 540-548.
    5. Olivier Rebenaque & Carlo Schmitt & Klemens Schumann, 2022. "Trading in local markets: A review of concepts and challenges," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2022(2), pages 25-47.
    6. Nguyen, Phuong H. & Blaauwbroek, Niels & Nguyen, Cuong & Zhang, Xu & Flueck, Alexander & Wang, Xiaoyu, 2017. "Interfacing applications for uncertainty reduction in smart energy systems utilizing distributed intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1312-1320.
    7. Diestelmeier, Lea, 2019. "Changing power: Shifting the role of electricity consumers with blockchain technology – Policy implications for EU electricity law," Energy Policy, Elsevier, vol. 128(C), pages 189-196.
    8. Raoul Bernards & Werner van Westering & Johan Morren & Han Slootweg, 2020. "Analysis of Energy Transition Impact on the Low-Voltage Network Using Stochastic Load and Generation Models," Energies, MDPI, vol. 13(22), pages 1-21, November.
    9. Shantanu Chakraborty & Remco Verzijlbergh & Kyri Baker & Milos Cvetkovic & Laurens De Vries & Zofia Lukszo, 2020. "A Coordination Mechanism For Reducing Price Spikes in Distribution Grids," Energies, MDPI, vol. 13(10), pages 1-24, May.
    10. Klaassen, E.A.M. & van Gerwen, R.J.F. & Frunt, J. & Slootweg, J.G., 2017. "A methodology to assess demand response benefits from a system perspective: A Dutch case study," Utilities Policy, Elsevier, vol. 44(C), pages 25-37.
    11. Niels Blaauwbroek & Phuong Nguyen & Han Slootweg, 2018. "Data-Driven Risk Analysis for Probabilistic Three-Phase Grid-Supportive Demand Side Management," Energies, MDPI, vol. 11(10), pages 1-18, September.
    12. Merla Kubli, 2020. "Navigating through the unknown: How conjoint analysis reduces uncertainty in energy consumer modelling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 880-885, November.
    13. Bjoern Felten & Christoph Weber, "undated". "Modeling the Value of Flexible Heat Pumps," EWL Working Papers 1709, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
    14. Zappa, William & van den Broek, Machteld, 2018. "Analysing the potential of integrating wind and solar power in Europe using spatial optimisation under various scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 1192-1216.
    15. Love, Jenny & Smith, Andrew Z.P. & Watson, Stephen & Oikonomou, Eleni & Summerfield, Alex & Gleeson, Colin & Biddulph, Phillip & Chiu, Lai Fong & Wingfield, Jez & Martin, Chris & Stone, Andy & Lowe, R, 2017. "The addition of heat pump electricity load profiles to GB electricity demand: Evidence from a heat pump field trial," Applied Energy, Elsevier, vol. 204(C), pages 332-342.
    16. Zidan, Aboelsood & Gabbar, Hossam A. & Eldessouky, Ahmed, 2015. "Optimal planning of combined heat and power systems within microgrids," Energy, Elsevier, vol. 93(P1), pages 235-244.
    17. Bjoern Felten & Jessica Raasch & Christoph Weber, 2017. "Photovoltaics and Heat Pumps - Limitations of Local Pricing Mechanisms," EWL Working Papers 1702, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Feb 2017.
    18. Klaassen, E.A.M. & Kobus, C.B.A. & Frunt, J. & Slootweg, J.G., 2016. "Responsiveness of residential electricity demand to dynamic tariffs: Experiences from a large field test in the Netherlands," Applied Energy, Elsevier, vol. 183(C), pages 1065-1074.
    19. Imke Lammers & Lea Diestelmeier, 2017. "Experimenting with Law and Governance for Decentralized Electricity Systems: Adjusting Regulation to Reality?," Sustainability, MDPI, vol. 9(2), pages 1-14, February.
    20. Kobus, Charlotte B.A. & Klaassen, Elke A.M. & Mugge, Ruth & Schoormans, Jan P.L., 2015. "A real-life assessment on the effect of smart appliances for shifting households’ electricity demand," Applied Energy, Elsevier, vol. 147(C), pages 335-343.
    21. Kalhori, M. Rostam Niakan & Emami, I. Taheri & Fallahi, F. & Tabarzadi, M., 2022. "A data-driven knowledge-based system with reasoning under uncertain evidence for regional long-term hourly load forecasting," Applied Energy, Elsevier, vol. 314(C).
    22. Kubli, Merla & Canzi, Patrizio, 2021. "Business strategies for flexibility aggregators to steer clear of being “too small to bid”," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    23. Kubli, Merla, 2018. "Squaring the sunny circle? On balancing distributive justice of power grid costs and incentives for solar prosumers," Energy Policy, Elsevier, vol. 114(C), pages 173-188.
    24. Khan, Saad Salman & Ahmad, Sadiq & Naeem, Muhammad, 2023. "On-grid joint energy management and trading in uncertain environment," Applied Energy, Elsevier, vol. 330(PB).

    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. Brandstätt, Christine & Brunekreeft, Gert & Friedrichsen, Nele, 2011. "Locational signals to reduce network investments in smart distribution grids: What works and what not?," Utilities Policy, Elsevier, vol. 19(4), pages 244-254.
    2. Darius Corbier & Frédéric Gonand & Marie Bessec, 2015. "Impacts of decentralised power generation on distribution networks: a statistical typology of European countries," Working Papers 1509, Chaire Economie du climat.
    3. Poudineh, Rahmatallah & Jamasb, Tooraj, 2016. "Determinants of investment under incentive regulation: The case of the Norwegian electricity distribution networks," Energy Economics, Elsevier, vol. 53(C), pages 193-202.
    4. Yuan, Jiahai & Xu, Yan & Hu, Zhaoguang, 2012. "Delivering power system transition in China," Energy Policy, Elsevier, vol. 50(C), pages 751-772.
    5. Paul Lehmann & Felix Creutzig & Melf-Hinrich Ehlers & Nele Friedrichsen & Clemens Heuson & Lion Hirth & Robert Pietzcker, 2012. "Carbon Lock-Out: Advancing Renewable Energy Policy in Europe," Energies, MDPI, vol. 5(2), pages 1-32, February.
    6. Bolton, Ronan & Foxon, Timothy J., 2015. "Infrastructure transformation as a socio-technical process — Implications for the governance of energy distribution networks in the UK," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 538-550.
    7. Gallaher, Adam & Graziano, Marcello & Fiaschetti, Maurizio, 2021. "Legacy and shockwaves: A spatial analysis of strengthening resilience of the power grid in Connecticut," Energy Policy, Elsevier, vol. 159(C).
    8. Cosmo, Valeria Di & O’Hora, Denis, 2017. "Nudging electricity consumption using TOU pricing and feedback: evidence from Irish households," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 1-14.
    9. Eid, Cherrelle & Codani, Paul & Perez, Yannick & Reneses, Javier & Hakvoort, Rudi, 2016. "Managing electric flexibility from Distributed Energy Resources: A review of incentives for market design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 237-247.
    10. Feuerriegel, Stefan & Neumann, Dirk, 2014. "Measuring the financial impact of demand response for electricity retailers," Energy Policy, Elsevier, vol. 65(C), pages 359-368.
    11. Caragliu, Andrea & Graziano, Marcello, 2022. "The spatial dimension of energy transition policies, practices and technologies," Energy Policy, Elsevier, vol. 168(C).
    12. Claire M. Weiller & Michael G. Pollitt, 2013. "Platform markets and energy services," Working Papers EPRG 1334, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    13. Abolhosseini, Shahrouz & Heshmati, Almas & Altmann, Jörn, 2014. "A Review of Renewable Energy Supply and Energy Efficiency Technologies," IZA Discussion Papers 8145, Institute of Labor Economics (IZA).
    14. Xu, Xiaojing & Chen, Chien-fei, 2019. "Energy efficiency and energy justice for U.S. low-income households: An analysis of multifaceted challenges and potential," Energy Policy, Elsevier, vol. 128(C), pages 763-774.
    15. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Shahbaz, Muhammad & Vinh Vo, Xuan, 2021. "How energy transition and power consumption are related in Asian economies with different income levels?," Energy, Elsevier, vol. 237(C).
    16. Barbanente, Angela & Grassini, Laura, 2022. "Fostering transitions in landscape policies: A multi-level perspective," Land Use Policy, Elsevier, vol. 112(C).
    17. Hall, Stephen & Foxon, Timothy J., 2014. "Values in the Smart Grid: The co-evolving political economy of smart distribution," Energy Policy, Elsevier, vol. 74(C), pages 600-609.
    18. Karthikeyan Nainar & Florin Iov, 2020. "Smart Meter Measurement-Based State Estimation for Monitoring of Low-Voltage Distribution Grids," Energies, MDPI, vol. 13(20), pages 1-18, October.
    19. Hao Xiao & Wei Pei & Zuomin Dong & Li Kong & Dan Wang, 2018. "Application and Comparison of Metaheuristic and New Metamodel Based Global Optimization Methods to the Optimal Operation of Active Distribution Networks," Energies, MDPI, vol. 11(1), pages 1-29, January.
    20. Schachter, Jonathan A. & Mancarella, Pierluigi & Moriarty, John & Shaw, Rita, 2016. "Flexible investment under uncertainty in smart distribution networks with demand side response: Assessment framework and practical implementation," Energy Policy, Elsevier, vol. 97(C), pages 439-449.

    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:56:y:2013:i:c:p:233-247. 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.