IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v87y2015icp417-428.html
   My bibliography  Save this article

The potential of decentralized power-to-heat as a flexibility option for the german electricity system: A microeconomic perspective

Author

Listed:
  • Ehrlich, Lars G.
  • Klamka, Jonas
  • Wolf, André

Abstract

One fundamental challenge of the German energy transition for the electricity market is the growing imbalance between inflexible generation and generally inelastic load. Against this background, we investigate the future potential of decentralized Power-to-Heat (P2H) as an additional demand-side flexibility option for the German electricity system. Precisely, we analyze the case of hybrid systems, where conventional gas and oil condensing boiler systems are equipped with an electric heating rod. In contrast to previous approaches, we set our focus on the economic incentives at household level: only if the switch to a P2H-hybrid system can reduce individual heating expenses significantly, a considerable number of these systems will be installed. For this purpose, we implemented an integrated approach combining three distinct simulation modules. First, a stochastic simulation of the electricity spot market prices in 2020 was conducted. Second, average heat load profiles were generated based on a standard bottom-up analysis. Both results were then fed into an optimization model calculating the cost-minimizing paths of heat generation at household level during the year 2020. The simulated annual savings prove modest as long as household electricity prices are not heavily reduced through political influence.

Suggested Citation

  • Ehrlich, Lars G. & Klamka, Jonas & Wolf, André, 2015. "The potential of decentralized power-to-heat as a flexibility option for the german electricity system: A microeconomic perspective," Energy Policy, Elsevier, vol. 87(C), pages 417-428.
  • Handle: RePEc:eee:enepol:v:87:y:2015:i:c:p:417-428
    DOI: 10.1016/j.enpol.2015.09.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421515301178
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2015.09.032?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. Markus Burger & Bernhard Klar & Alfred Muller & Gero Schindlmayr, 2004. "A spot market model for pricing derivatives in electricity markets," Quantitative Finance, Taylor & Francis Journals, vol. 4(1), pages 109-122.
    2. Bierbrauer, Michael & Menn, Christian & Rachev, Svetlozar T. & Truck, Stefan, 2007. "Spot and derivative pricing in the EEX power market," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3462-3485, November.
    3. Klinge Jacobsen, Henrik & Schröder, Sascha Thorsten, 2012. "Curtailment of renewable generation: Economic optimality and incentives," Energy Policy, Elsevier, vol. 49(C), pages 663-675.
    4. Schill, Wolf-Peter, 2014. "Residual load, renewable surplus generation and storage requirements in Germany," Energy Policy, Elsevier, vol. 73(C), pages 65-79.
    5. Elberg, Christina & Hagspiel, Simeon, 2015. "Spatial dependencies of wind power and interrelations with spot price dynamics," European Journal of Operational Research, Elsevier, vol. 241(1), pages 260-272.
    6. Ketterer, Janina C., 2014. "The impact of wind power generation on the electricity price in Germany," Energy Economics, Elsevier, vol. 44(C), pages 270-280.
    7. 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.
    8. Lise, Wietze & van der Laan, Jeroen & Nieuwenhout, Frans & Rademaekers, Koen, 2013. "Assessment of the required share for a stable EU electricity supply until 2050," Energy Policy, Elsevier, vol. 59(C), pages 904-913.
    9. Hao, He & Sanandaji, Borhan M. & Poolla, Kameshwar & Vincent, Tyrone L., 2015. "Potentials and economics of residential thermal loads providing regulation reserve," Energy Policy, Elsevier, vol. 79(C), pages 115-126.
    10. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    11. Schleicher-Tappeser, Ruggero, 2012. "How renewables will change electricity markets in the next five years," Energy Policy, Elsevier, vol. 48(C), pages 64-75.
    12. Keles, Dogan & Genoese, Massimo & Möst, Dominik & Fichtner, Wolf, 2012. "Comparison of extended mean-reversion and time series models for electricity spot price simulation considering negative prices," Energy Economics, Elsevier, vol. 34(4), pages 1012-1032.
    13. Böttger, Diana & Götz, Mario & Theofilidi, Myrto & Bruckner, Thomas, 2015. "Control power provision with power-to-heat plants in systems with high shares of renewable energy sources – An illustrative analysis for Germany based on the use of electric boilers in district heatin," Energy, Elsevier, vol. 82(C), pages 157-167.
    14. Mathieu, Johanna L. & Dyson, Mark E.H. & Callaway, Duncan S., 2015. "Resource and revenue potential of California residential load participation in ancillary services," Energy Policy, Elsevier, vol. 80(C), pages 76-87.
    15. Muench, Stefan & Thuss, Sebastian & Guenther, Edeltraud, 2014. "What hampers energy system transformations? The case of smart grids," Energy Policy, Elsevier, vol. 73(C), pages 80-92.
    16. Römer, Benedikt & Reichhart, Philipp & Kranz, Johann & Picot, Arnold, 2012. "The role of smart metering and decentralized electricity storage for smart grids: The importance of positive externalities," Energy Policy, Elsevier, vol. 50(C), pages 486-495.
    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. Wang, Jinda & Zhou, Zhigang & Zhao, Jianing & Zheng, Jinfu & Guan, Zhiqiang, 2019. "Optimizing for clean-heating improvements in a district energy system with high penetration of wind power," Energy, Elsevier, vol. 175(C), pages 1085-1099.
    2. Collins, Seán & Deane, J.P. & Ó Gallachóir, Brian, 2017. "Adding value to EU energy policy analysis using a multi-model approach with an EU-28 electricity dispatch model," Energy, Elsevier, vol. 130(C), pages 433-447.
    3. Gilang Hardadi & Alexander Buchholz & Stefan Pauliuk, 2021. "Implications of the distribution of German household environmental footprints across income groups for integrating environmental and social policy design," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 95-113, February.
    4. Haghi, Ehsan & Qadrdan, Meysam & Wu, Jianzhong & Jenkins, Nick & Fowler, Michael & Raahemifar, Kaamran, 2020. "An iterative approach for optimal decarbonization of electricity and heat supply systems in the Great Britain," Energy, Elsevier, vol. 201(C).
    5. Barco-Burgos, J. & Bruno, J.C. & Eicker, U. & Saldaña-Robles, A.L. & Alcántar-Camarena, V., 2022. "Review on the integration of high-temperature heat pumps in district heating and cooling networks," Energy, Elsevier, vol. 239(PE).
    6. Tronchin, Lamberto & Manfren, Massimiliano & Nastasi, Benedetto, 2018. "Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 341-353.
    7. 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.
    8. Gravelsins, Armands & Pakere, Ieva & Tukulis, Anrijs & Blumberga, Dagnija, 2019. "Solar power in district heating. P2H flexibility concept," Energy, Elsevier, vol. 181(C), pages 1023-1035.
    9. Dengiz, Thomas & Jochem, Patrick & Fichtner, Wolf, 2019. "Demand response with heuristic control strategies for modulating heat pumps," Applied Energy, Elsevier, vol. 238(C), pages 1346-1360.
    10. Ribó-Pérez, David & Heleno, Miguel & Álvarez-Bel, Carlos, 2021. "The flexibility gap: Socioeconomic and geographical factors driving residential flexibility," Energy Policy, Elsevier, vol. 153(C).
    11. Popovski, Eftim & Aydemir, Ali & Fleiter, Tobias & Bellstädt, Daniel & Büchele, Richard & Steinbach, Jan, 2019. "The role and costs of large-scale heat pumps in decarbonising existing district heating networks – A case study for the city of Herten in Germany," Energy, Elsevier, vol. 180(C), pages 918-933.
    12. Thimmel, Markus & Fridgen, Gilbert & Keller, Robert & Roevekamp, Patrick, 2019. "Compensating balancing demand by spatial load migration – The case of geographically distributed data centers," Energy Policy, Elsevier, vol. 132(C), pages 1130-1142.
    13. Fridgen, Gilbert & Keller, Robert & Thimmel, Markus & Wederhake, Lars, 2017. "Shifting load through space–The economics of spatial demand side management using distributed data centers," Energy Policy, Elsevier, vol. 109(C), pages 400-413.
    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. Møller Sneum, Daniel, 2021. "Barriers to flexibility in the district energy-electricity system interface – A taxonomy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    16. Schlund, David & Theile, Philipp, 2021. "Simultaneity of green energy and hydrogen production: Analysing the dispatch of a grid-connected electrolyser," EWI Working Papers 2021-10, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    17. Schlund, David & Theile, Philipp, 2022. "Simultaneity of green energy and hydrogen production: Analysing the dispatch of a grid-connected electrolyser," Energy Policy, Elsevier, vol. 166(C).
    18. Meha, Drilon & Pfeifer, Antun & Duić, Neven & Lund, Henrik, 2020. "Increasing the integration of variable renewable energy in coal-based energy system using power to heat technologies: The case of Kosovo," Energy, Elsevier, vol. 212(C).
    19. Ribó-Pérez, D. & Carrión, A. & Rodríguez García, J. & Álvarez Bel, C., 2021. "Ex-post evaluation of Interruptible Load programs with a system optimisation perspective," Applied Energy, Elsevier, vol. 303(C).
    20. Melo, S.P. & Brand, U. & Vogt, T. & Telle, J.S. & Schuldt, F. & Maydell, K.v., 2019. "Primary frequency control provided by hybrid battery storage and power-to-heat system," Applied Energy, Elsevier, vol. 233, pages 220-231.

    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. Russo, Marianna & Bertsch, Valentin, 2020. "A looming revolution: Implications of self-generation for the risk exposure of retailers," Energy Economics, Elsevier, vol. 92(C).
    2. Boßmann, Tobias & Eser, Eike Johannes, 2016. "Model-based assessment of demand-response measures—A comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1637-1656.
    3. Pape, Christian & Hagemann, Simon & Weber, Christoph, 2016. "Are fundamentals enough? Explaining price variations in the German day-ahead and intraday power market," Energy Economics, Elsevier, vol. 54(C), pages 376-387.
    4. repec:dui:wpaper:1502 is not listed on IDEAS
    5. Christian Pape & Arne Vogler & Oliver Woll & Christoph Weber, 2017. "Forecasting the distributions of hourly electricity spot prices," EWL Working Papers 1705, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised May 2017.
    6. Ziel, Florian & Steinert, Rick, 2016. "Electricity price forecasting using sale and purchase curves: The X-Model," Energy Economics, Elsevier, vol. 59(C), pages 435-454.
    7. Pircalabu, A. & Benth, F.E., 2017. "A regime-switching copula approach to modeling day-ahead prices in coupled electricity markets," Energy Economics, Elsevier, vol. 68(C), pages 283-302.
    8. Johannes Kaufmann & Philipp Artur Kienscherf & Wolfgang Ketter, 2020. "Modeling and Managing Joint Price and Volumetric Risk for Volatile Electricity Portfolios," Energies, MDPI, vol. 13(14), pages 1-19, July.
    9. Andrés Oviedo-Gómez & Sandra Milena Londoño-Hernández & Diego Fernando Manotas-Duque, 2021. "Effects of the COVID-19 Pandemic on the Spot Price of Colombian Electricity," Energies, MDPI, vol. 14(21), pages 1-14, October.
    10. Hinderks, W.J. & Wagner, A., 2020. "Factor models in the German electricity market: Stylized facts, seasonality, and calibration," Energy Economics, Elsevier, vol. 85(C).
    11. Rintamäki, Tuomas & Siddiqui, Afzal S. & Salo, Ahti, 2017. "Does renewable energy generation decrease the volatility of electricity prices? An analysis of Denmark and Germany," Energy Economics, Elsevier, vol. 62(C), pages 270-282.
    12. repec:dui:wpaper:1504 is not listed on IDEAS
    13. Auer, Benjamin R., 2016. "How does Germany's green energy policy affect electricity market volatility? An application of conditional autoregressive range models," Energy Policy, Elsevier, vol. 98(C), pages 621-628.
    14. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    15. Kallabis, Thomas & Pape, Christian & Weber, Christoph, 2016. "The plunge in German electricity futures prices – Analysis using a parsimonious fundamental model," Energy Policy, Elsevier, vol. 95(C), pages 280-290.
    16. Florian Ziel & Rick Steinert, 2015. "Electricity Price Forecasting using Sale and Purchase Curves: The X-Model," Papers 1509.00372, arXiv.org, revised Aug 2016.
    17. Hosius, Emil & Seebaß, Johann V. & Wacker, Benjamin & Schlüter, Jan Chr., 2023. "The impact of offshore wind energy on Northern European wholesale electricity prices," Applied Energy, Elsevier, vol. 341(C).
    18. G P Girish & Aviral Kumar Tiwari, 2016. "A comparison of different univariate forecasting models forSpot Electricity Price in India," Economics Bulletin, AccessEcon, vol. 36(2), pages 1039-1057.
    19. repec:hum:wpaper:sfb649dp2016-035 is not listed on IDEAS
    20. Deschatre, Thomas & Féron, Olivier & Gruet, Pierre, 2021. "A survey of electricity spot and futures price models for risk management applications," Energy Economics, Elsevier, vol. 102(C).
    21. López Cabrera, Brenda & Schulz, Franziska, 2016. "Time-adaptive probabilistic forecasts of electricity spot prices with application to risk management," SFB 649 Discussion Papers 2016-035, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    22. Nowotarski, Jakub & Tomczyk, Jakub & Weron, Rafał, 2013. "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices," Energy Economics, Elsevier, vol. 39(C), pages 13-27.
    23. Billé, Anna Gloria & Gianfreda, Angelica & Del Grosso, Filippo & Ravazzolo, Francesco, 2023. "Forecasting electricity prices with expert, linear, and nonlinear models," International Journal of Forecasting, Elsevier, vol. 39(2), pages 570-586.

    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:87:y:2015:i:c:p:417-428. 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.