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Representing power sector variability and the integration of variable renewables in long-term energy-economy models using residual load duration curves

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Cited by:

  1. Mesfun, Sennai & Leduc, Sylvain & Patrizio, Piera & Wetterlund, Elisabeth & Mendoza-Ponce, Alma & Lammens, Tijs & Staritsky, Igor & Elbersen, Berien & Lundgren, Joakim & Kraxner, Florian, 2018. "Spatio-temporal assessment of integrating intermittent electricity in the EU and Western Balkans power sector under ambitious CO2 emission policies," Energy, Elsevier, vol. 164(C), pages 676-693.
  2. Martin Kittel & Wolf-Peter Schill, 2021. "Renewable Energy Targets and Unintended Storage Cycling: Implications for Energy Modeling," Papers 2107.13380, arXiv.org, revised Sep 2021.
  3. Pietzcker, Robert C. & Ueckerdt, Falko & Carrara, Samuel & de Boer, Harmen Sytze & Després, Jacques & Fujimori, Shinichiro & Johnson, Nils & Kitous, Alban & Scholz, Yvonne & Sullivan, Patrick & Ludere, 2017. "System integration of wind and solar power in integrated assessment models: A cross-model evaluation of new approaches," Energy Economics, Elsevier, vol. 64(C), pages 583-599.
  4. Johnson, Nils & Strubegger, Manfred & McPherson, Madeleine & Parkinson, Simon C. & Krey, Volker & Sullivan, Patrick, 2017. "A reduced-form approach for representing the impacts of wind and solar PV deployment on the structure and operation of the electricity system," Energy Economics, Elsevier, vol. 64(C), pages 651-664.
  5. Fichter, Tobias & Soria, Rafael & Szklo, Alexandre & Schaeffer, Roberto & Lucena, Andre F.P., 2017. "Assessing the potential role of concentrated solar power (CSP) for the northeast power system of Brazil using a detailed power system model," Energy, Elsevier, vol. 121(C), pages 695-715.
  6. Say, Kelvin & Schill, Wolf-Peter & John, Michele, 2020. "Degrees of displacement: The impact of household PV battery prosumage on utility generation and storage," Applied Energy, Elsevier, vol. 276(C).
  7. Vrionis, Constantinos & Tsalavoutis, Vasilios & Tolis, Athanasios, 2020. "A Generation Expansion Planning model for integrating high shares of renewable energy: A Meta-Model Assisted Evolutionary Algorithm approach," Applied Energy, Elsevier, vol. 259(C).
  8. 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.
  9. Hanson, Donald & Schmalzer, David & Nichols, Christopher & Balash, Peter, 2016. "The impacts of meeting a tight CO2 performance standard on the electric power sector," Energy Economics, Elsevier, vol. 60(C), pages 476-485.
  10. Zhang, Ning & Hu, Zhaoguang & Shen, Bo & He, Gang & Zheng, Yanan, 2017. "An integrated source-grid-load planning model at the macro level: Case study for China's power sector," Energy, Elsevier, vol. 126(C), pages 231-246.
  11. Göransson, Lisa & Goop, Joel & Odenberger, Mikael & Johnsson, Filip, 2017. "Impact of thermal plant cycling on the cost-optimal composition of a regional electricity generation system," Applied Energy, Elsevier, vol. 197(C), pages 230-240.
  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. Guerra, K. & Gutiérrez-Alvarez, R. & Guerra, Omar J. & Haro, P., 2023. "Opportunities for low-carbon generation and storage technologies to decarbonise the future power system," Applied Energy, Elsevier, vol. 336(C).
  14. Alexander Blinn & Henrik te Heesen, 2022. "UCB-SEnMod : A Model for Analyzing Future Energy Systems with 100% Renewable Energy Technologies—Methodology," Energies, MDPI, vol. 15(12), pages 1-22, June.
  15. Carrara, Samuel & Marangoni, Giacomo, 2017. "Including system integration of variable renewable energies in a constant elasticity of substitution framework: The case of the WITCH model," Energy Economics, Elsevier, vol. 64(C), pages 612-626.
  16. Vulic, Natasa & Rüdisüli, Martin & Orehounig, Kristina, 2023. "Evaluating energy flexibility requirements for high shares of variable renewable energy: A heuristic approach," Energy, Elsevier, vol. 270(C).
  17. Pagnier, Laurent & Jacquod, Philippe, 2018. "How fast can one overcome the paradox of the energy transition? A physico-economic model for the European power grid," Energy, Elsevier, vol. 157(C), pages 550-560.
  18. Perera, A.T.D. & Nik, Vahid M. & Mauree, Dasaraden & Scartezzini, Jean-Louis, 2017. "An integrated approach to design site specific distributed electrical hubs combining optimization, multi-criterion assessment and decision making," Energy, Elsevier, vol. 134(C), pages 103-120.
  19. Stefanie Buchholz & Mette Gamst & David Pisinger, 2019. "A comparative study of time aggregation techniques in relation to power capacity expansion modeling," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 353-405, October.
  20. 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.
  21. Philip Tafarte & Marcus Eichhorn & Daniela Thrän, 2019. "Capacity Expansion Pathways for a Wind and Solar Based Power Supply and the Impact of Advanced Technology—A Case Study for Germany," Energies, MDPI, vol. 12(2), pages 1-23, January.
  22. Perera, A.T.D. & Nik, Vahid M. & Wickramasinghe, P.U. & Scartezzini, Jean-Louis, 2019. "Redefining energy system flexibility for distributed energy system design," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  23. Javier L'opez Prol & Wolf-Peter Schill, 2020. "The Economics of Variable Renewables and Electricity Storage," Papers 2012.15371, arXiv.org.
  24. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2020. "Investigating the economics of the power sector under high penetration of variable renewable energies," Applied Energy, Elsevier, vol. 267(C).
  25. Ueckerdt, Falko & Pietzcker, Robert & Scholz, Yvonne & Stetter, Daniel & Giannousakis, Anastasis & Luderer, Gunnar, 2017. "Decarbonizing global power supply under region-specific consideration of challenges and options of integrating variable renewables in the REMIND model," Energy Economics, Elsevier, vol. 64(C), pages 665-684.
  26. Li, Yanxue & Gao, Weijun & Ruan, Yingjun & Ushifusa, Yoshiaki, 2018. "The performance investigation of increasing share of photovoltaic generation in the public grid with pump hydro storage dispatch system, a case study in Japan," Energy, Elsevier, vol. 164(C), pages 811-821.
  27. Odenweller, Adrian, 2022. "Climate mitigation under S-shaped energy technology diffusion: Leveraging synergies of optimisation and simulation models," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
  28. Rintamäki, Tuomas & Siddiqui, Afzal S. & Salo, Ahti, 2016. "How much is enough? Optimal support payments in a renewable-rich power system," Energy, Elsevier, vol. 117(P1), pages 300-313.
  29. Laurent Pagnier & Philippe Jacquod, 2017. "How fast can one overcome the paradox of the energy transition? A physico-economic model for the European power grid," Papers 1706.00330, arXiv.org, revised Jun 2018.
  30. Sgouris Sgouridis & Abdulla Kaya & Denes Csala, 2016. "Switching Economics for Physics and the Carbon Price Inflation: Problems in Integrated Assessment Models and their Implications," Papers 1603.06196, arXiv.org.
  31. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
  32. Dai, Hancheng & Fujimori, Shinichiro & Silva Herran, Diego & Shiraki, Hiroto & Masui, Toshihiko & Matsuoka, Yuzuru, 2017. "The impacts on climate mitigation costs of considering curtailment and storage of variable renewable energy in a general equilibrium model," Energy Economics, Elsevier, vol. 64(C), pages 627-637.
  33. Clemens Gerbaulet & Casimir Lorenz, 2017. "dynELMOD: A Dynamic Investment and Dispatch Model for the Future European Electricity Market," Data Documentation 88, DIW Berlin, German Institute for Economic Research.
  34. Frank Pierie & Christian E. J. van Someren & Sandór N. M. Kruse & Gideon A. H. Laugs & René M. J. Benders & Henri C. Moll, 2021. "Local Balancing of the Electricity Grid in a Renewable Municipality; Analyzing the Effectiveness and Cost of Decentralized Load Balancing Looking at Multiple Combinations of Technologies," Energies, MDPI, vol. 14(16), pages 1-35, August.
  35. Chen, Siyuan & Liu, Pei & Li, Zheng, 2020. "Low carbon transition pathway of power sector with high penetration of renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
  36. Fabian Stöckl & Alexander Zerrahn, 2023. "Substituting Clean for Dirty Energy: A Bottom-Up Analysis," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 10(3), pages 819-863.
  37. Xu, Tingting & Gao, Weijun & Qian, Fanyue & Li, Yanxue, 2022. "The implementation limitation of variable renewable energies and its impacts on the public power grid," Energy, Elsevier, vol. 239(PA).
  38. Parrado-Hernando, Gonzalo & Herc, Luka & Pfeifer, Antun & Capellán-Perez, Iñigo & Batas Bjelić, Ilija & Duić, Neven & Frechoso-Escudero, Fernando & Miguel González, Luis Javier & Gjorgievski, Vladimir, 2022. "Capturing features of hourly-resolution energy models through statistical annual indicators," Renewable Energy, Elsevier, vol. 197(C), pages 1192-1223.
  39. Andrychowicz, Mateusz & Olek, Blazej & Przybylski, Jakub, 2017. "Review of the methods for evaluation of renewable energy sources penetration and ramping used in the Scenario Outlook and Adequacy Forecast 2015. Case study for Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 703-714.
  40. Matsuo, Yuhji & Endo, Seiya & Nagatomi, Yu & Shibata, Yoshiaki & Komiyama, Ryoichi & Fujii, Yasumasa, 2018. "A quantitative analysis of Japan's optimal power generation mix in 2050 and the role of CO2-free hydrogen," Energy, Elsevier, vol. 165(PB), pages 1200-1219.
  41. Yuhji Matsuo, 2022. "Re-Defining System LCOE: Costs and Values of Power Sources," Energies, MDPI, vol. 15(18), pages 1-39, September.
  42. de Boer, Harmen Sytze (H.S.) & van Vuuren, Detlef (D.P.), 2017. "Representation of variable renewable energy sources in TIMER, an aggregated energy system simulation model," Energy Economics, Elsevier, vol. 64(C), pages 600-611.
  43. Perera, A.T.D. & Nik, Vahid M. & Mauree, Dasaraden & Scartezzini, Jean-Louis, 2017. "Electrical hubs: An effective way to integrate non-dispatchable renewable energy sources with minimum impact to the grid," Applied Energy, Elsevier, vol. 190(C), pages 232-248.
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