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Fluctuating renewables in a long-term climate change mitigation strategy

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  1. Pietzcker, Robert Carl & Stetter, Daniel & Manger, Susanne & Luderer, Gunnar, 2014. "Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power," Applied Energy, Elsevier, vol. 135(C), pages 704-720.
  2. Heejung Park, 2020. "Generation Capacity Expansion Planning Considering Hourly Dynamics of Renewable Resources," Energies, MDPI, vol. 13(21), pages 1-15, October.
  3. Dupont, B. & Dietrich, K. & De Jonghe, C. & Ramos, A. & Belmans, R., 2014. "Impact of residential demand response on power system operation: A Belgian case study," Applied Energy, Elsevier, vol. 122(C), pages 1-10.
  4. Backe, Stian & Ahang, Mohammadreza & Tomasgard, Asgeir, 2021. "Stable stochastic capacity expansion with variable renewables: Comparing moment matching and stratified scenario generation sampling," Applied Energy, Elsevier, vol. 302(C).
  5. Adeel ur Rehman & Bhajan Lal, 2022. "RETRACTED: Gas Hydrate-Based CO 2 Capture: A Journey from Batch to Continuous," Energies, MDPI, vol. 15(21), pages 1-27, November.
  6. Ueckerdt, Falko & Hirth, Lion & Luderer, Gunnar & Edenhofer, Ottmar, 2013. "System LCOE: What are the costs of variable renewables?," Energy, Elsevier, vol. 63(C), pages 61-75.
  7. 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).
  8. Gerbaulet, Clemens & von Hirschhausen, Christian & Kemfert, Claudia & Lorenz, Casimir & Oei, Pao-Yu, 2019. "European electricity sector decarbonization under different levels of foresight," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141, pages 973-987.
  9. Ueckerdt, Falko & Brecha, Robert & Luderer, Gunnar & Sullivan, Patrick & Schmid, Eva & Bauer, Nico & Böttger, Diana & Pietzcker, Robert, 2015. "Representing power sector variability and the integration of variable renewables in long-term energy-economy models using residual load duration curves," Energy, Elsevier, vol. 90(P2), pages 1799-1814.
  10. Brown, T. & Schlachtberger, D. & Kies, A. & Schramm, S. & Greiner, M., 2018. "Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system," Energy, Elsevier, vol. 160(C), pages 720-739.
  11. Odeh, Rodrigo Pérez & Watts, David, 2019. "Impacts of wind and solar spatial diversification on its market value: A case study of the Chilean electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 442-461.
  12. Rosenberg, Eva & Lind, Arne & Espegren, Kari Aamodt, 2013. "The impact of future energy demand on renewable energy production – Case of Norway," Energy, Elsevier, vol. 61(C), pages 419-431.
  13. Tom Brown & Mirko Schäfer & Martin Greiner, 2019. "Sectoral Interactions as Carbon Dioxide Emissions Approach Zero in a Highly-Renewable European Energy System," Energies, MDPI, vol. 12(6), pages 1-16, March.
  14. Heggarty, Thomas & Bourmaud, Jean-Yves & Girard, Robin & Kariniotakis, Georges, 2024. "Assessing the relative impacts of maximum investment rate and temporal detail in capacity expansion models applied to power systems," Energy, Elsevier, vol. 290(C).
  15. Fürsch, Michaela & Hagspiel, Simeon & Jägemann, Cosima & Nagl, Stephan & Lindenberger, Dietmar & Tröster, Eckehard, 2013. "The role of grid extensions in a cost-efficient transformation of the European electricity system until 2050," Applied Energy, Elsevier, vol. 104(C), pages 642-652.
  16. Thanh Tu Tran & Shinichiro Fujimori & Toshihiko Masui, 2016. "Realizing the Intended Nationally Determined Contribution: The Role of Renewable Energies in Vietnam," Energies, MDPI, vol. 9(8), pages 1-17, July.
  17. Knopf, Brigitte & Nahmmacher, Paul & Schmid, Eva, 2015. "The European renewable energy target for 2030 – An impact assessment of the electricity sector," Energy Policy, Elsevier, vol. 85(C), pages 50-60.
  18. 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.
  19. van der Zwaan, Bob & Kober, Tom & Calderon, Silvia & Clarke, Leon & Daenzer, Katie & Kitous, Alban & Labriet, Maryse & Lucena, André F.P. & Octaviano, Claudia & Di Sbroiavacca, Nicolas, 2016. "Energy technology roll-out for climate change mitigation: A multi-model study for Latin America," Energy Economics, Elsevier, vol. 56(C), pages 526-542.
  20. 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.
  21. repec:diw:diwwpp:dp1656 is not listed on IDEAS
  22. Bjørndal, Endre & Bjørndal, Mette Helene & Coniglio, Stefano & Körner, Marc-Fabian & Leinauer, Christina & Weibelzahl, Martin, 2023. "Energy storage operation and electricity market design: On the market power of monopolistic storage operators," European Journal of Operational Research, Elsevier, vol. 307(2), pages 887-909.
  23. 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.
  24. Francesco Gardumi & Manuel Welsch & Mark Howells & Emanuela Colombo, 2019. "Representation of Balancing Options for Variable Renewables in Long-Term Energy System Models: An Application to OSeMOSYS," Energies, MDPI, vol. 12(12), pages 1-22, June.
  25. 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.
  26. Karl-Kiên Cao & Kai von Krbek & Manuel Wetzel & Felix Cebulla & Sebastian Schreck, 2019. "Classification and Evaluation of Concepts for Improving the Performance of Applied Energy System Optimization Models," Energies, MDPI, vol. 12(24), pages 1-51, December.
  27. 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.
  28. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
  29. Mejía-Botero, Cristian & Echeverri-Uribe, Camilo & Ferrer-Ruiz, Juan E. & Amell, Andrés A., 2023. "Effect of preheat temperature, pressure, and residence time on methanation performance," Energy, Elsevier, vol. 269(C).
  30. 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.
  31. Schmid, Eva & Knopf, Brigitte, 2015. "Quantifying the long-term economic benefits of European electricity system integration," Energy Policy, Elsevier, vol. 87(C), pages 260-269.
  32. Benedict J. Drasch & Gilbert Fridgen & Lukas Häfner, 2020. "Demand response through automated air conditioning in commercial buildings—a data-driven approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1491-1525, November.
  33. Soares, F.J. & Carvalho, L. & Costa, I.C. & Iria, J.P. & Bodet, J.-M. & Jacinto, G. & Lecocq, A. & Roessner, J. & Caillard, B. & Salvi, O., 2015. "The STABALID project: Risk analysis of stationary Li-ion batteries for power system applications," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 142-175.
  34. Merrick, James H., 2016. "On representation of temporal variability in electricity capacity planning models," Energy Economics, Elsevier, vol. 59(C), pages 261-274.
  35. Welsch, Manuel & Deane, Paul & Howells, Mark & Ó Gallachóir, Brian & Rogan, Fionn & Bazilian, Morgan & Rogner, Hans-Holger, 2014. "Incorporating flexibility requirements into long-term energy system models – A case study on high levels of renewable electricity penetration in Ireland," Applied Energy, Elsevier, vol. 135(C), pages 600-615.
  36. Ludig, Sylvie & Schmid, Eva & Haller, Markus & Bauer, Nico, 2015. "Assessment of transformation strategies for the German power sector under the uncertainty of demand development and technology availability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 143-156.
  37. repec:diw:diwwpp:dp1457 is not listed on IDEAS
  38. 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.
  39. 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.
  40. 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.
  41. Pleßmann, Guido & Blechinger, Philipp, 2017. "Outlook on South-East European power system until 2050: Least-cost decarbonization pathway meeting EU mitigation targets," Energy, Elsevier, vol. 137(C), pages 1041-1053.
  42. Pfenninger, Stefan & Keirstead, James, 2015. "Renewables, nuclear, or fossil fuels? Scenarios for Great Britain’s power system considering costs, emissions and energy security," Applied Energy, Elsevier, vol. 152(C), pages 83-93.
  43. 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.
  44. McCallum, Peter & Jenkins, David P. & Peacock, Andrew D. & Patidar, Sandhya & Andoni, Merlinda & Flynn, David & Robu, Valentin, 2019. "A multi-sectoral approach to modelling community energy demand of the built environment," Energy Policy, Elsevier, vol. 132(C), pages 865-875.
  45. Hofbauer, Leonhard & McDowall, Will & Pye, Steve, 2022. "Challenges and opportunities for energy system modelling to foster multi-level governance of energy transitions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
  46. Blanco, Herib & Faaij, André, 2018. "A review at the role of storage in energy systems with a focus on Power to Gas and long-term storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1049-1086.
  47. 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).
  48. Alonso, Gustavo & Valle, Edmundo del, 2013. "Economical analysis of an alternative strategy for CO2 mitigation based on nuclear power," Energy, Elsevier, vol. 52(C), pages 66-76.
  49. 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).
  50. Zerrahn, Alexander & Schill, Wolf-Peter, 2017. "Long-run power storage requirements for high shares of renewables: review and a new model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1518-1534.
  51. Simoes, Sofia & Zeyringer, Marianne & Mayr, Dieter & Huld, Thomas & Nijs, Wouter & Schmidt, Johannes, 2017. "Impact of different levels of geographical disaggregation of wind and PV electricity generation in large energy system models: A case study for Austria," Renewable Energy, Elsevier, vol. 105(C), pages 183-198.
  52. 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).
  53. 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).
  54. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2012. "Impact of climate change on energy use in the built environment in different climate zones – A review," Energy, Elsevier, vol. 42(1), pages 103-112.
  55. Tafarte, Philip & Das, Subhashree & Eichhorn, Marcus & Thrän, Daniela, 2014. "Small adaptations, big impacts: Options for an optimized mix of variable renewable energy sources," Energy, Elsevier, vol. 72(C), pages 80-92.
  56. 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.
  57. 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.
  58. 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.
  59. Cloete, Schalk & Hirth, Lion, 2020. "Flexible power and hydrogen production: Finding synergy between CCS and variable renewables," Energy, Elsevier, vol. 192(C).
  60. 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.
  61. Buchholz, Stefanie & Gamst, Mette & Pisinger, David, 2020. "Sensitivity analysis of time aggregation techniques applied to capacity expansion energy system models," Applied Energy, Elsevier, vol. 269(C).
  62. Henrik C. Bylling & Salvador Pineda & Trine K. Boomsma, 2020. "The impact of short-term variability and uncertainty on long-term power planning," Annals of Operations Research, Springer, vol. 284(1), pages 199-223, January.
  63. Lund, Henrik & Mathiesen, Brian Vad, 2012. "The role of Carbon Capture and Storage in a future sustainable energy system," Energy, Elsevier, vol. 44(1), pages 469-476.
  64. Hamdi, Mohamed & El Salmawy, Hafez A. & Ragab, Reda, 2024. "Incorporating operational constraints into long-term energy planning: The case of the Egyptian power system under high share of renewables," Energy, Elsevier, vol. 300(C).
  65. Rövekamp, Patrick & Schöpf, Michael & Wagon, Felix & Weibelzahl, Martin, 2023. "For better or for worse? On the economic and ecologic value of industrial demand side management in constrained electricity grids," Energy Policy, Elsevier, vol. 183(C).
  66. Varone, Alberto & Ferrari, Michele, 2015. "Power to liquid and power to gas: An option for the German Energiewende," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 207-218.
  67. 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).
  68. Koltsaklis, Nikolaos E. & Georgiadis, Michael C., 2015. "A multi-period, multi-regional generation expansion planning model incorporating unit commitment constraints," Applied Energy, Elsevier, vol. 158(C), pages 310-331.
  69. Nemet, Andreja & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Kravanja, Zdravko, 2012. "Methodology for maximising the use of renewables with variable availability," Energy, Elsevier, vol. 44(1), pages 29-37.
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