IDEAS home Printed from https://ideas.repec.org/p/zbw/kitiip/55.html
   My bibliography  Save this paper

Diffusion and system impact of residential battery storage under different regulatory settings

Author

Listed:
  • Fett, Daniel
  • Fraunholz, Christoph
  • Keles, Dogan

Abstract

Cost reductions of rooftop photovoltaics and battery storage, increasing retail electricity prices as well as falling feed-in remuneration provide strong incentives for many German households to engage in self-consumption. These developments may also affect the electricity system as a whole. Against this background, we jointly apply a prosumer simulation and an agent-based electricity market simulation in order to investigate the long-term impacts of a residential battery storage diffusion on the electricity market. We analyze different regulatory frameworks and find significant effects on the household level, yet only moderate system impacts. In the long run, the diffusion of residential battery storage seems difficult to govern, even under a restrictive regulation. In contrast, the way the batteries are operated may be easier to regulate. Policymakers and regulators should focus on this aspect, since a system-friendly battery operation supports the system integration of residential photovoltaics while having little impact on the households' selfsufficiency.

Suggested Citation

  • Fett, Daniel & Fraunholz, Christoph & Keles, Dogan, 2021. "Diffusion and system impact of residential battery storage under different regulatory settings," Working Paper Series in Production and Energy 55, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    • Handle: RePEc:zbw:kitiip:55
    DOI: 10.5445/IR/1000129687
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/231360/1/1748376721.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.5445/IR/1000129687?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
    ---><---

    References listed on IDEAS

    as
    1. Daniel Fett & Dogan Keles & Thomas Kaschub & Wolf Fichtner, 2019. "Impacts of self-generation and self-consumption on German household electricity prices," Journal of Business Economics, Springer, vol. 89(7), pages 867-891, September.
    2. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    3. Dietrich, Andreas & Weber, Christoph, 2018. "What drives profitability of grid-connected residential PV storage systems? A closer look with focus on Germany," Energy Economics, Elsevier, vol. 74(C), pages 399-416.
    4. Bertsch, Valentin & Geldermann, Jutta & Lühn, Tobias, 2017. "What drives the profitability of household PV investments, self-consumption and self-sufficiency?," Applied Energy, Elsevier, vol. 204(C), pages 1-15.
    5. Boßmann, T. & Staffell, I., 2015. "The shape of future electricity demand: Exploring load curves in 2050s Germany and Britain," Energy, Elsevier, vol. 90(P2), pages 1317-1333.
    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. Jimenez, I. Sanchez & Ribó-Pérez, D. & Cvetkovic, M. & Kochems, J. & Schimeczek, C. & de Vries, L.J., 2024. "Can an energy only market enable resource adequacy in a decarbonized power system? A co-simulation with two agent-based-models," Applied Energy, Elsevier, vol. 360(C).
    2. Aniello, Gianmarco & Bertsch, Valentin, 2023. "Shaping the energy transition in the residential sector: Regulatory incentives for aligning household and system perspectives," Applied Energy, Elsevier, vol. 333(C).
    3. Daniel Fett & Christoph Fraunholz & Philipp Schneider, 2023. "Life cycle greenhouse gas emissions of residential battery storage systems: A German case study," Journal of Industrial Ecology, Yale University, vol. 27(1), pages 182-195, February.
    4. Lan, Haifeng & Hou, Huiying (Cynthia) & Gou, Zhonghua & Wong, Man Sing, 2024. "Spatiotemporal analysis and forecasting of PV systems, battery storage, and EV charging diffusion in California: A graph network approach," Renewable Energy, Elsevier, vol. 230(C).
    5. Christian van Someren & Martien Visser & Han Slootweg, 2023. "Sizing Batteries for Power Flow Management in Distribution Grids: A Method to Compare Battery Capacities for Different Siting Configurations and Variable Power Flow Simultaneity," Energies, MDPI, vol. 16(22), pages 1-19, November.
    6. Russo, Marianna & Kraft, Emil & Bertsch, Valentin & Keles, Dogan, 2022. "Short-term risk management of electricity retailers under rising shares of decentralized solar generation," Energy Economics, Elsevier, vol. 109(C).
    7. Ladenburg, Jacob & Jensen, Kirsten Lund & Lodahl, Christa & Keles, Dogan, 2022. "Testing for non-linear willingness to accept compensation for controlled electricity switch-offs using choice experiments," Energy, Elsevier, vol. 238(PB).
    8. Pena-Bello, Alejandro & Junod, Robin & Ballif, Christophe & Wyrsch, Nicolas, 2023. "Balancing DSO interests and PV system economics with alternative tariffs," Energy Policy, Elsevier, vol. 183(C).
    9. Arnold, Fabian & Jeddi, Samir & Sitzmann, Amelie, 2022. "How prices guide investment decisions under net purchasing — An empirical analysis on the impact of network tariffs on residential PV," Energy Economics, Elsevier, vol. 112(C).
    10. Fett, Daniel & Fraunholz, Christoph & Lange, Malin, 2023. "Provision of frequency containment reserve from residential battery storage systems: A German case study," Working Paper Series in Production and Energy 71, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).

    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. Fett, Daniel & Fraunholz, Christoph & Keles, Dogan, 2021. "Diffusion and system impact of residential battery storage under different regulatory settings," Energy Policy, Elsevier, vol. 158(C).
    2. Aniello, Gianmarco & Shamon, Hawal & Kuckshinrichs, Wilhelm, 2021. "Micro-economic assessment of residential PV and battery systems: The underrated role of financial and fiscal aspects," Applied Energy, Elsevier, vol. 281(C).
    3. Klingler, Anna-Lena & Luthander, Rasmus, 2018. "Market diffusion of residential PV and battery systems driven by self-consumption: A comparison of Sweden and Germany," Working Papers "Sustainability and Innovation" S18/2018, Fraunhofer Institute for Systems and Innovation Research (ISI).
    4. Claudia Gunther & Wolf-Peter Schill & Alexander Zerrahn, 2019. "Prosumage of solar electricity: tariff design, capacity investments, and power system effects," Papers 1907.09855, arXiv.org.
    5. Günther, Claudia & Schill, Wolf-Peter & Zerrahn, Alexander, 2021. "Prosumage of solar electricity: Tariff design, capacity investments, and power sector effects," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 152.
    6. Nina Munzke & Felix Büchle & Anna Smith & Marc Hiller, 2021. "Influence of Efficiency, Aging and Charging Strategy on the Economic Viability and Dimensioning of Photovoltaic Home Storage Systems," Energies, MDPI, vol. 14(22), pages 1-46, November.
    7. Neetzow, Paul & Mendelevitch, Roman & Siddiqui, Sauleh, 2019. "Modeling coordination between renewables and grid: Policies to mitigate distribution grid constraints using residential PV-battery systems," Energy Policy, Elsevier, vol. 132(C), pages 1017-1033.
    8. D'Adamo, Idiano & Gastaldi, Massimo & Morone, Piergiuseppe, 2022. "The impact of a subsidized tax deduction on residential solar photovoltaic-battery energy storage systems," Utilities Policy, Elsevier, vol. 75(C).
    9. Frank Fiedler & Joaquin Coll Matas, 2022. "Techno-Economic Analysis of Grid-Connected PV Battery Solutions for Holiday Homes in Sweden," Energies, MDPI, vol. 15(8), pages 1-21, April.
    10. Aniello, Gianmarco & Bertsch, Valentin, 2023. "Shaping the energy transition in the residential sector: Regulatory incentives for aligning household and system perspectives," Applied Energy, Elsevier, vol. 333(C).
    11. Olivella, Jordi & Domenech, Bruno & Calleja, Gema, 2021. "Potential of implementation of residential photovoltaics at city level: The case of London," Renewable Energy, Elsevier, vol. 180(C), pages 577-585.
    12. Wang, Ge & Zhang, Qi & Li, Yan & Li, Hailong, 2018. "Policy simulation for promoting residential PV considering anecdotal information exchanges based on social network modelling," Applied Energy, Elsevier, vol. 223(C), pages 1-10.
    13. Andreolli, Francesca & D’Alpaos, Chiara & Moretto, Michele, 2022. "Valuing investments in domestic PV-Battery Systems under uncertainty," Energy Economics, Elsevier, vol. 106(C).
    14. David Huckebrink & Valentin Bertsch, 2021. "Integrating Behavioural Aspects in Energy System Modelling—A Review," Energies, MDPI, vol. 14(15), pages 1-26, July.
    15. Oscar Gutiérrez & Francisco Ruiz-Aliseda, 2011. "Real options with unknown-date events," Annals of Finance, Springer, vol. 7(2), pages 171-198, May.
    16. Shari, Babajide Epe & Dioha, Michael O. & Abraham-Dukuma, Magnus C. & Sobanke, Victor O. & Emodi, Nnaemeka V., 2022. "Clean cooking energy transition in Nigeria: Policy implications for Developing countries," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 319-343.
    17. Cambier, Adrien & Chardy, Matthieu & Figueiredo, Rosa & Ouorou, Adam & Poss, Michael, 2022. "Optimizing subscriber migrations for a telecommunication operator in uncertain context," European Journal of Operational Research, Elsevier, vol. 298(1), pages 308-321.
    18. Tiruwork B. Tibebu & Eric Hittinger & Qing Miao & Eric Williams, 2024. "Adoption Model Choice Affects the Optimal Subsidy for Residential Solar," Energies, MDPI, vol. 17(3), pages 1-19, February.
    19. Simon P. Anderson & André de Palma, 2012. "Competition for attention in the Information (overload) Age," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 1-25, March.
    20. Peacock, Malcolm & Fragaki, Aikaterini & Matuszewski, Bogdan J, 2023. "The impact of heat electrification on the seasonal and interannual electricity demand of Great Britain," Applied Energy, Elsevier, vol. 337(C).

    More about this item

    Keywords

    Self-consumption; Battery storage; Technology diffusion; Electricity system; Agent-based simulation; Model coupling;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:zbw:kitiip:55. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.iip.kit.edu/ .

    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.