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Modeling hourly electricity dynamics for policy making in long-term scenarios

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  1. Diaz, Gabriel & Inzunza, Andrés & Moreno, Rodrigo, 2019. "The importance of time resolution, operational flexibility and risk aversion in quantifying the value of energy storage in long-term energy planning studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 797-812.
  2. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
  3. Pina, André & Baptista, Patrícia & Silva, Carlos & Ferrão, Paulo, 2014. "Energy reduction potential from the shift to electric vehicles: The Flores island case study," Energy Policy, Elsevier, vol. 67(C), pages 37-47.
  4. Alimou, Yacine & Maïzi, Nadia & Bourmaud, Jean-Yves & Li, Marion, 2020. "Assessing the security of electricity supply through multi-scale modeling: The TIMES-ANTARES linking approach," Applied Energy, Elsevier, vol. 279(C).
  5. Scott, Ian J. & Carvalho, Pedro M.S. & Botterud, Audun & Silva, Carlos A., 2019. "Clustering representative days for power systems generation expansion planning: Capturing the effects of variable renewables and energy storage," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  6. 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.
  7. John Foster & William Paul Bell & Craig Froome & Phil Wild & Liam Wagner & Deepak Sharma & Suwin Sandu & Suchi Misra & Ravindra Bagia, 2012. "Institutional adaptability to redress electricity infrastructure vulnerability due to climate change," Energy Economics and Management Group Working Papers 7-2012, School of Economics, University of Queensland, Australia.
  8. Foster, John & Bell, William Paul & Wild, Phillip & Sharma, Deepak & Sandu, Suwin & Froome, Craig & Wagner, Liam & Misra, Suchi & Bagia, Ravindra, 2013. "Analysis of institutional adaptability to redress electricity infrastructure vulnerability due to climate change," MPRA Paper 47787, University Library of Munich, Germany.
  9. Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
  10. Thomas Heggarty & Jean-Yves Bourmaud & Robin Girard & Georges Kariniotakis, 2024. "Assessing the relative impacts of maximum investment rate and temporal detail in capacity expansion models applied to power systems," Post-Print hal-04383397, HAL.
  11. Haller, Markus & Ludig, Sylvie & Bauer, Nico, 2012. "Bridging the scales: A conceptual model for coordinated expansion of renewable power generation, transmission and storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2687-2695.
  12. Merrick, James H., 2016. "On representation of temporal variability in electricity capacity planning models," Energy Economics, Elsevier, vol. 59(C), pages 261-274.
  13. Jain, A. & Yamujala, S. & Gaur, A. & Das, P. & Bhakar, R. & Mathur, J., 2023. "Power sector decarbonization planning considering renewable resource variability and system operational constraints," Applied Energy, Elsevier, vol. 331(C).
  14. Kittel, Martin & Hobbie, Hannes & Dierstein, Constantin, 2022. "Temporal aggregation of time series to identify typical hourly electricity system states: A systematic assessment of relevant cluster algorithms," Energy, Elsevier, vol. 247(C).
  15. Amorim, Filipa & Simoes, Sofia G. & Siggini, Gildas & Assoumou, Edi, 2020. "Introducing climate variability in energy systems modelling," Energy, Elsevier, vol. 206(C).
  16. Miranda, Raul & Simoes, Sofia & Szklo, Alexandre & Schaeffer, Roberto, 2019. "Adding detailed transmission constraints to a long-term integrated assessment model – A case study for Brazil using the TIMES model," Energy, Elsevier, vol. 167(C), pages 791-803.
  17. Prina, Matteo Giacomo & Nastasi, Benedetto & Groppi, Daniele & Misconel, Steffi & Garcia, Davide Astiaso & Sparber, Wolfram, 2022. "Comparison methods of energy system frameworks, models and scenario results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
  18. Gerbelová, Hana & Amorim, Filipa & Pina, André & Melo, Mário & Ioakimidis, Christos & Ferrão, Paulo, 2014. "Potential of CO2 (carbon dioxide) taxes as a policy measure towards low-carbon Portuguese electricity sector by 2050," Energy, Elsevier, vol. 69(C), pages 113-119.
  19. Collins, Seán & Deane, John Paul & Poncelet, Kris & Panos, Evangelos & Pietzcker, Robert C. & Delarue, Erik & Ó Gallachóir, Brian Pádraig, 2017. "Integrating short term variations of the power system into integrated energy system models: A methodological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 839-856.
  20. Suomalainen, K. & Silva, C. & Ferrão, P. & Connors, S., 2013. "Wind power design in isolated energy systems: Impacts of daily wind patterns," Applied Energy, Elsevier, vol. 101(C), pages 533-540.
  21. Lara, Cristiana L. & Mallapragada, Dharik S. & Papageorgiou, Dimitri J. & Venkatesh, Aranya & Grossmann, Ignacio E., 2018. "Deterministic electric power infrastructure planning: Mixed-integer programming model and nested decomposition algorithm," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1037-1054.
  22. Markus Lauer & Daniela Thrän, 2018. "Flexible Biogas in Future Energy Systems—Sleeping Beauty for a Cheaper Power Generation," Energies, MDPI, vol. 11(4), pages 1-24, March.
  23. Pina, André & Silva, Carlos A. & Ferrão, Paulo, 2013. "High-resolution modeling framework for planning electricity systems with high penetration of renewables," Applied Energy, Elsevier, vol. 112(C), pages 215-223.
  24. Scheer, Dirk, 2017. "Communicating energy system modelling to the wider public: An analysis of German media coverage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1389-1398.
  25. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
  26. Nahmmacher, Paul & Schmid, Eva & Hirth, Lion & Knopf, Brigitte, 2016. "Carpe diem: A novel approach to select representative days for long-term power system modeling," Energy, Elsevier, vol. 112(C), pages 430-442.
  27. 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.
  28. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
  29. Jose Juan Caceres-Hernandez & Gloria Martin-Rodriguez & Jonay Hernandez-Martin, 2022. "A proposal for measuring and comparing seasonal variations in hourly economic time series," Empirical Economics, Springer, vol. 62(4), pages 1995-2021, April.
  30. Das, Anjana & Halder, Arideep & Mazumder, Rahul & Saini, Vinay Kumar & Parikh, Jyoti & Parikh, Kirit S., 2018. "Bangladesh power supply scenarios on renewables and electricity import," Energy, Elsevier, vol. 155(C), pages 651-667.
  31. Kougias, Ioannis & Szabó, Sándor & Nikitas, Alexandros & Theodossiou, Nicolaos, 2019. "Sustainable energy modelling of non-interconnected Mediterranean islands," Renewable Energy, Elsevier, vol. 133(C), pages 930-940.
  32. Poncelet, Kris & Delarue, Erik & Six, Daan & Duerinck, Jan & D’haeseleer, William, 2016. "Impact of the level of temporal and operational detail in energy-system planning models," Applied Energy, Elsevier, vol. 162(C), pages 631-643.
  33. Kittel, Martin & Hobbie, Hannes & Dierstein, Constantin, 2022. "Temporal aggregation of time series to identify typical hourly electricity system states: A systematic assessment of relevant cluster algorithms," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 247, pages 1-15.
  34. Amorim, Filipa & Pina, André & Gerbelová, Hana & Pereira da Silva, Patrícia & Vasconcelos, Jorge & Martins, Victor, 2014. "Electricity decarbonisation pathways for 2050 in Portugal: A TIMES (The Integrated MARKAL-EFOM System) based approach in closed versus open systems modelling," Energy, Elsevier, vol. 69(C), pages 104-112.
  35. Reyseliani, Nadhilah & Purwanto, Widodo Wahyu, 2021. "Pathway towards 100% renewable energy in Indonesia power system by 2050," Renewable Energy, Elsevier, vol. 176(C), pages 305-321.
  36. Haller, Markus & Ludig, Sylvie & Bauer, Nico, 2012. "Decarbonization scenarios for the EU and MENA power system: Considering spatial distribution and short term dynamics of renewable generation," Energy Policy, Elsevier, vol. 47(C), pages 282-290.
  37. Reyseliani, Nadhilah & Hidayatno, Akhmad & Purwanto, Widodo Wahyu, 2022. "Implication of the Paris agreement target on Indonesia electricity sector transition to 2050 using TIMES model," Energy Policy, Elsevier, vol. 169(C).
  38. Merkel, Erik & Fehrenbach, Daniel & McKenna, Russell & Fichtner, Wolf, 2014. "Modelling decentralised heat supply: An application and methodological extension in TIMES," Energy, Elsevier, vol. 73(C), pages 592-605.
  39. Adeoye, Omotola & Spataru, Catalina, 2019. "Modelling and forecasting hourly electricity demand in West African countries," Applied Energy, Elsevier, vol. 242(C), pages 311-333.
  40. Lai Fong Chiu & Robert John Lowe, 2022. "Eliciting Stakeholders’ Requirements for Future Energy Systems: A Case Study of Heat Decarbonisation in the UK," Energies, MDPI, vol. 15(19), pages 1-21, October.
  41. Valeriya Azarova & Mathias Mier, 2021. "Unraveling the Black Box of Power Market Models," ifo Working Paper Series 357, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  42. Mirjat, Nayyar Hussain & Uqaili, Mohammad Aslam & Harijan, Khanji & Valasai, Gordhan Das & Shaikh, Faheemullah & Waris, M., 2017. "A review of energy and power planning and policies of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 110-127.
  43. Hagos, Dejene Assefa & Gebremedhin, Alemayehu & Bolkesjø, Torjus Folsland, 2017. "The prospects of bioenergy in the future energy system of Inland Norway," Energy, Elsevier, vol. 121(C), pages 78-91.
  44. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Seljom, Pernille & Lind, Arne & Wagner, Fabian & Mesfun, Sennai, 2020. "Short-term solar and wind variability in long-term energy system models - A European case study," Energy, Elsevier, vol. 209(C).
  45. Kuepper, Lucas Elias & Teichgraeber, Holger & Baumgärtner, Nils & Bardow, André & Brandt, Adam R., 2022. "Wind data introduce error in time-series reduction for capacity expansion modelling," Energy, Elsevier, vol. 256(C).
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