IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v255y2019ics0306261919314163.html
   My bibliography  Save this article

EnergyScope TD: A novel open-source model for regional energy systems

Author

Listed:
  • Limpens, Gauthier
  • Moret, Stefano
  • Jeanmart, Hervé
  • Maréchal, Francois

Abstract

The transition towards more sustainable, fossil-free energy systems is interlinked with a high penetration of stochastic renewables, such as wind and solar. Integrating these new energy resources and technologies will lead to profound structural changes in energy systems, such as an increasing need for storage and a radical electrification of the heating and mobility sectors. To capture the increasing complexity of such future energy systems, new flexible and open-source optimization modelling tools are needed.

Suggested Citation

  • Limpens, Gauthier & Moret, Stefano & Jeanmart, Hervé & Maréchal, Francois, 2019. "EnergyScope TD: A novel open-source model for regional energy systems," Applied Energy, Elsevier, vol. 255(C).
    • Handle: RePEc:eee:appene:v:255:y:2019:i:c:s0306261919314163
    DOI: 10.1016/j.apenergy.2019.113729
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919314163
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2019.113729?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ramachandran Kannan & Evangelos Panos & Stefan Hirschberg & Tom Kober, 2022. "A net‐zero Swiss energy system by 2050: Technological and policy options for the transition of the transportation sector," Futures & Foresight Science, John Wiley & Sons, vol. 4(3-4), September.
    2. Sacha Hodencq & Mathieu Brugeron & Jaume Fitó & Lou Morriet & Benoit Delinchant & Frédéric Wurtz, 2021. "OMEGAlpes, an Open-Source Optimisation Model Generation Tool to Support Energy Stakeholders at District Scale," Energies, MDPI, vol. 14(18), pages 1-30, September.
    3. Luis Montero & Antonio Bello & Javier Reneses, 2020. "A New Methodology to Obtain a Feasible Thermal Operation in Power Systems in a Medium-Term Horizon," Energies, MDPI, vol. 13(12), pages 1-17, June.
    4. Stephan Kigle & Michael Ebner & Andrej Guminski, 2022. "Greenhouse Gas Abatement in EUROPE—A Scenario-Based, Bottom-Up Analysis Showing the Effect of Deep Emission Mitigation on the European Energy System," Energies, MDPI, vol. 15(4), pages 1-18, February.
    5. Kenjiro Yagi & Ramteen Sioshansi, 2023. "Simplifying capacity planning for electricity systems with hydroelectric and renewable generation," Computational Management Science, Springer, vol. 20(1), pages 1-28, December.
    6. Jonathan Dumas & Antoine Dubois & Paolo Thiran & Pierre Jacques & Francesco Contino & Bertrand Cornélusse & Gauthier Limpens, 2022. "The Energy Return on Investment of Whole-Energy Systems: Application to Belgium," Biophysical Economics and Resource Quality, Springer, vol. 7(4), pages 1-34, December.
    7. Nitsch, Felix & Deissenroth-Uhrig, Marc & Schimeczek, Christoph & Bertsch, Valentin, 2021. "Economic evaluation of battery storage systems bidding on day-ahead and automatic frequency restoration reserves markets," Applied Energy, Elsevier, vol. 298(C).
    8. Langevin, J. & Reyna, J.L. & Ebrahimigharehbaghi, S. & Sandberg, N. & Fennell, P. & Nägeli, C. & Laverge, J. & Delghust, M. & Mata, É. & Van Hove, M. & Webster, J. & Federico, F. & Jakob, M. & Camaras, 2020. "Developing a common approach for classifying building stock energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    9. Borasio, M. & Moret, S., 2022. "Deep decarbonisation of regional energy systems: A novel modelling approach and its application to the Italian energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    10. Oliver Gregor Gorbach & Noha Saad Hussein & Jessica Thomsen, 2021. "Impact of Internal Carbon Prices on the Energy System of an Organisation’s Facilities in Germany, Japan and the United Kingdom Compared to Potential External Carbon Prices," Energies, MDPI, vol. 14(14), pages 1-41, July.
    11. Thimet, P.J. & Mavromatidis, G., 2022. "Review of model-based electricity system transition scenarios: An analysis for Switzerland, Germany, France, and Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    12. Eikeland, Odin Foldvik & Kelsall, Colin C. & Buznitsky, Kyle & Verma, Shomik & Bianchi, Filippo Maria & Chiesa, Matteo & Henry, Asegun, 2023. "Power availability of PV plus thermal batteries in real-world electric power grids," Applied Energy, Elsevier, vol. 348(C).
    13. Gauthier Limpens & Hervé Jeanmart & Francois Maréchal, 2020. "Belgian Energy Transition: What Are the Options?," Energies, MDPI, vol. 13(1), pages 1-29, January.
    14. Chang, Miguel & Thellufsen, Jakob Zink & Zakeri, Behnam & Pickering, Bryn & Pfenninger, Stefan & Lund, Henrik & Østergaard, Poul Alberg, 2021. "Trends in tools and approaches for modelling the energy transition," Applied Energy, Elsevier, vol. 290(C).
    15. Guangxuan Wang & Julien Blondeau, 2022. "Multi-Objective Optimal Integration of Solar Heating and Heat Storage into Existing Fossil Fuel-Based Heat and Power Production Systems," Energies, MDPI, vol. 15(5), pages 1-21, March.
    16. Régis Delubac & Mohammad Sadr & Sabine Sochard & Sylvain Serra & Jean-Michel Reneaume, 2023. "Optimized Operation and Sizing of Solar District Heating Networks with Small Daily Storage," Energies, MDPI, vol. 16(3), pages 1-20, January.
    17. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    18. Dubois, Antoine & Dumas, Jonathan & Thiran, Paolo & Limpens, Gauthier & Ernst, Damien, 2023. "Multi-objective near-optimal necessary conditions for multi-sectoral planning," Applied Energy, Elsevier, vol. 350(C).
    19. Ghaemi, Zahra & Tran, Thomas T.D. & Smith, Amanda D., 2022. "Comparing classical and metaheuristic methods to optimize multi-objective operation planning of district energy systems considering uncertainties," Applied Energy, Elsevier, vol. 321(C).
    20. Xavier Rixhon & Gauthier Limpens & Diederik Coppitters & Hervé Jeanmart & Francesco Contino, 2021. "The Role of Electrofuels under Uncertainties for the Belgian Energy Transition," Energies, MDPI, vol. 14(13), pages 1-23, July.
    21. Teichgraeber, Holger & Brandt, Adam R., 2022. "Time-series aggregation for the optimization of energy systems: Goals, challenges, approaches, and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    22. Serrano-Arévalo, Tania Itzel & López-Flores, Francisco Javier & Raya-Tapia, Alma Yunuen & Ramírez-Márquez, César & Ponce-Ortega, José María, 2023. "Optimal expansion for a clean power sector transition in Mexico based on predicted electricity demand using deep learning scheme," Applied Energy, Elsevier, vol. 348(C).
    23. Régis Delubac & Sylvain Serra & Sabine Sochard & Jean-Michel Reneaume, 2021. "A Dynamic Optimization Tool to Size and Operate Solar Thermal District Heating Networks Production Plants," Energies, MDPI, vol. 14(23), pages 1-27, November.
    24. Oliver Gregor Gorbach & Jessica Thomsen, 2022. "Comparing the Energy System of a Facility with Uncertainty about Future Internal Carbon Prices and Energy Carrier Costs Using Deterministic Optimisation and Two-Stage Stochastic Programming," Energies, MDPI, vol. 15(10), pages 1-39, May.
    25. Baldi, Francesco & Coraddu, Andrea & Kalikatzarakis, Miltiadis & Jeleňová, Diana & Collu, Maurizio & Race, Julia & Maréchal, François, 2022. "Optimisation-based system designs for deep offshore wind farms including power to gas technologies," Applied Energy, Elsevier, vol. 310(C).

    More about this item

    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:eee:appene:v:255:y:2019:i:c:s0306261919314163. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/wps/find/journaldescription.cws_home/405891/description#description .

    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.