IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v197y2017icp1-13.html
   My bibliography  Save this item

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

Citations

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


Cited by:

  1. de Guibert, Paul & Shirizadeh, Behrang & Quirion, Philippe, 2020. "Variable time-step: A method for improving computational tractability for energy system models with long-term storage," Energy, Elsevier, vol. 213(C).
  2. Zhang, Chao & Lasaulce, Samson & Hennebel, Martin & Saludjian, Lucas & Panciatici, Patrick & Poor, H. Vincent, 2021. "Decision-making oriented clustering: Application to pricing and power consumption scheduling," Applied Energy, Elsevier, vol. 297(C).
  3. Hilbers, Adriaan P. & Brayshaw, David J. & Gandy, Axel, 2023. "Reducing climate risk in energy system planning: A posteriori time series aggregation for models with storage," Applied Energy, Elsevier, vol. 334(C).
  4. Timmerberg, Sebastian & Kaltschmitt, Martin, 2019. "Hydrogen from renewables: Supply from North Africa to Central Europe as blend in existing pipelines – Potentials and costs," Applied Energy, Elsevier, vol. 237(C), pages 795-809.
  5. Limpens, Gauthier & Rixhon, Xavier & Contino, Francesco & Jeanmart, Hervé, 2024. "EnergyScope Pathway: An open-source model to optimise the energy transition pathways of a regional whole-energy system," Applied Energy, Elsevier, vol. 358(C).
  6. Ken Oshiro & Shinichiro Fujimori, 2024. "Limited impact of hydrogen co-firing on prolonging fossil-based power generation under low emissions scenarios," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  7. Omoyele, Olalekan & Hoffmann, Maximilian & Koivisto, Matti & Larrañeta, Miguel & Weinand, Jann Michael & Linßen, Jochen & Stolten, Detlef, 2024. "Increasing the resolution of solar and wind time series for energy system modeling: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
  8. Lombardi, Francesco & Rocco, Matteo Vincenzo & Colombo, Emanuela, 2019. "A multi-layer energy modelling methodology to assess the impact of heat-electricity integration strategies: The case of the residential cooking sector in Italy," Energy, Elsevier, vol. 170(C), pages 1249-1260.
  9. 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).
  10. Karl-Kiên Cao & Johannes Metzdorf & Sinan Birbalta, 2018. "Incorporating Power Transmission Bottlenecks into Aggregated Energy System Models," Sustainability, MDPI, vol. 10(6), pages 1-32, June.
  11. Shirizadeh, Behrang & Quirion, Philippe, 2022. "Do multi-sector energy system optimization models need hourly temporal resolution? A case study with an investment and dispatch model applied to France," Applied Energy, Elsevier, vol. 305(C).
  12. 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.
  13. Timo Kannengießer & Maximilian Hoffmann & Leander Kotzur & Peter Stenzel & Fabian Schuetz & Klaus Peters & Stefan Nykamp & Detlef Stolten & Martin Robinius, 2019. "Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System," Energies, MDPI, vol. 12(14), pages 1-27, July.
  14. Hoffmann, Maximilian & Kotzur, Leander & Stolten, Detlef, 2022. "The Pareto-optimal temporal aggregation of energy system models," Applied Energy, Elsevier, vol. 315(C).
  15. Klemm, Christian & Wiese, Frauke & Vennemann, Peter, 2023. "Model-based run-time and memory reduction for a mixed-use multi-energy system model with high spatial resolution," Applied Energy, Elsevier, vol. 334(C).
  16. Gallo Cassarino, Tiziano & Barrett, Mark, 2022. "Meeting UK heat demands in zero emission renewable energy systems using storage and interconnectors," Applied Energy, Elsevier, vol. 306(PB).
  17. Helistö, Niina & Kiviluoma, Juha & Morales-España, Germán & O’Dwyer, Ciara, 2021. "Impact of operational details and temporal representations on investment planning in energy systems dominated by wind and solar," Applied Energy, Elsevier, vol. 290(C).
  18. 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.
  19. 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.
  20. Hilbers, Adriaan P. & Brayshaw, David J. & Gandy, Axel, 2019. "Importance subsampling: improving power system planning under climate-based uncertainty," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  21. Felten, Björn, 2020. "An integrated model of coupled heat and power sectors for large-scale energy system analyses," Applied Energy, Elsevier, vol. 266(C).
  22. Bosch, Jonathan & Staffell, Iain & Hawkes, Adam D., 2018. "Temporally explicit and spatially resolved global offshore wind energy potentials," Energy, Elsevier, vol. 163(C), pages 766-781.
  23. Timmons, D. & Dhunny, A.Z. & Elahee, K. & Havumaki, B. & Howells, M. & Khoodaruth, A. & Lema-Driscoll, A.K. & Lollchund, M.R. & Ramgolam, Y.K. & Rughooputh, S.D.D.V. & Surroop, D., 2019. "Cost minimization for fully renewable electricity systems: A Mauritius case study," Energy Policy, Elsevier, vol. 133(C).
  24. Knittel, Tamara & Palmer-Wilson, Kevin & McPherson, Madeleine & Wild, Peter & Rowe, Andrew, 2024. "Heating electrification in cold climates: Invest in grid flexibility," Applied Energy, Elsevier, vol. 356(C).
  25. Zatti, Matteo & Gabba, Marco & Freschini, Marco & Rossi, Michele & Gambarotta, Agostino & Morini, Mirko & Martelli, Emanuele, 2019. "k-MILP: A novel clustering approach to select typical and extreme days for multi-energy systems design optimization," Energy, Elsevier, vol. 181(C), pages 1051-1063.
  26. Pickering, B. & Choudhary, R., 2019. "District energy system optimisation under uncertain demand: Handling data-driven stochastic profiles," Applied Energy, Elsevier, vol. 236(C), pages 1138-1157.
  27. Shirizadeh, Behrang & Quirion, Philippe, 2022. "The importance of renewable gas in achieving carbon-neutrality: Insights from an energy system optimization model," Energy, Elsevier, vol. 255(C).
  28. Sun, Wei & Harrison, Gareth P., 2019. "Wind-solar complementarity and effective use of distribution network capacity," Applied Energy, Elsevier, vol. 247(C), pages 89-101.
  29. Hassan, Muhammed A. & Khalil, Adel & Abubakr, Mohamed, 2021. "Selection methodology of representative meteorological days for assessment of renewable energy systems," Renewable Energy, Elsevier, vol. 177(C), pages 34-51.
  30. Teichgraeber, Holger & Brandt, Adam R., 2019. "Clustering methods to find representative periods for the optimization of energy systems: An initial framework and comparison," Applied Energy, Elsevier, vol. 239(C), pages 1283-1293.
  31. Höltinger, Stefan & Mikovits, Christian & Schmidt, Johannes & Baumgartner, Johann & Arheimer, Berit & Lindström, Göran & Wetterlund, Elisabeth, 2019. "The impact of climatic extreme events on the feasibility of fully renewable power systems: A case study for Sweden," Energy, Elsevier, vol. 178(C), pages 695-713.
  32. Monforti, Fabio & Gonzalez-Aparicio, Iratxe, 2017. "Comparing the impact of uncertainties on technical and meteorological parameters in wind power time series modelling in the European Union," Applied Energy, Elsevier, vol. 206(C), pages 439-450.
  33. Grochowicz, Aleksander & Benth, Fred Espen & Zeyringer, Marianne, 2024. "Spatio-temporal smoothing and dynamics of different electricity flexibility options for highly renewable energy systems—Case study for Norway," Applied Energy, Elsevier, vol. 356(C).
  34. 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).
  35. Yazdanie, M. & Orehounig, K., 2021. "Advancing urban energy system planning and modeling approaches: Gaps and solutions in perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
  36. Cole, Wesley & Greer, Daniel & Ho, Jonathan & Margolis, Robert, 2020. "Considerations for maintaining resource adequacy of electricity systems with high penetrations of PV and storage," Applied Energy, Elsevier, vol. 279(C).
  37. Vaccaro, Roberto & Rocco, Matteo V., 2021. "Quantifying the impact of low carbon transition scenarios at regional level through soft-linked energy and economy models: The case of South-Tyrol Province in Italy," Energy, Elsevier, vol. 220(C).
  38. Graeme S. Hawker & Keith R. W. Bell, 2020. "Making energy system models useful: Good practice in the modelling of multiple vectors," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(1), January.
  39. Gonzato, Sebastian & Bruninx, Kenneth & Delarue, Erik, 2021. "Long term storage in generation expansion planning models with a reduced temporal scope," Applied Energy, Elsevier, vol. 298(C).
  40. Süsser, Diana & Gaschnig, Hannes & Ceglarz, Andrzej & Stavrakas, Vassilis & Flamos, Alexandros & Lilliestam, Johan, 2022. "Better suited or just more complex? On the fit between user needs and modeller-driven improvements of energy system models," Energy, Elsevier, vol. 239(PB).
  41. Plaga, Leonie Sara & Bertsch, Valentin, 2023. "Methods for assessing climate uncertainty in energy system models — A systematic literature review," Applied Energy, Elsevier, vol. 331(C).
  42. Grochowicz, Aleksander & van Greevenbroek, Koen & Benth, Fred Espen & Zeyringer, Marianne, 2023. "Intersecting near-optimal spaces: European power systems with more resilience to weather variability," Energy Economics, Elsevier, vol. 118(C).
  43. 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).
  44. Arjmand, Reza & McPherson, Madeleine, 2022. "Canada's electricity system transition under alternative policy scenarios," Energy Policy, Elsevier, vol. 163(C).
  45. Pöstges, Arne & Weber, Christoph, 2023. "Identifying key elements for adequate simplifications of investment choices – The case of wind energy expansion," Energy Economics, Elsevier, vol. 120(C).
  46. 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).
  47. Kotzur, Leander & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "Time series aggregation for energy system design: Modeling seasonal storage," Applied Energy, Elsevier, vol. 213(C), pages 123-135.
  48. Alberto Bocca & Luca Bergamasco & Matteo Fasano & Lorenzo Bottaccioli & Eliodoro Chiavazzo & Alberto Macii & Pietro Asinari, 2018. "Multiple-Regression Method for Fast Estimation of Solar Irradiation and Photovoltaic Energy Potentials over Europe and Africa," Energies, MDPI, vol. 11(12), pages 1-17, December.
  49. Caro-Ruiz, C. & Lombardi, P. & Richter, M. & Pelzer, A. & Komarnicki, P. & Pavas, A. & Mojica-Nava, E., 2019. "Coordination of optimal sizing of energy storage systems and production buffer stocks in a net zero energy factory," Applied Energy, Elsevier, vol. 238(C), pages 851-862.
  50. Klemm, Christian & Vennemann, Peter, 2021. "Modeling and optimization of multi-energy systems in mixed-use districts: A review of existing methods and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
  51. Ward, K.R. & Green, R. & Staffell, I., 2019. "Getting prices right in structural electricity market models," Energy Policy, Elsevier, vol. 129(C), pages 1190-1206.
  52. Weber, Juliane & Heinrichs, Heidi Ursula & Gillessen, Bastian & Schumann, Diana & Hörsch, Jonas & Brown, Tom & Witthaut, Dirk, 2019. "Counter-intuitive behaviour of energy system models under CO2 caps and prices," Energy, Elsevier, vol. 170(C), pages 22-30.
  53. Siala, Kais & Mier, Mathias & Schmidt, Lukas & Torralba-Díaz, Laura & Sheykhha, Siamak & Savvidis, Georgios, 2022. "Which model features matter? An experimental approach to evaluate power market modeling choices," Energy, Elsevier, vol. 245(C).
  54. Helistö, Niina & Kiviluoma, Juha & Reittu, Hannu, 2020. "Selection of representative slices for generation expansion planning using regular decomposition," Energy, Elsevier, vol. 211(C).
  55. Bakhtiari, Hamed & Zhong, Jin & Alvarez, Manuel, 2021. "Predicting the stochastic behavior of uncertainty sources in planning a stand-alone renewable energy-based microgrid using Metropolis–coupled Markov chain Monte Carlo simulation," Applied Energy, Elsevier, vol. 290(C).
  56. Hoffmann, Maximilian & Priesmann, Jan & Nolting, Lars & Praktiknjo, Aaron & Kotzur, Leander & Stolten, Detlef, 2021. "Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models," Applied Energy, Elsevier, vol. 304(C).
  57. Martin Rüdisüli & Sinan L. Teske & Urs Elber, 2019. "Impacts of an Increased Substitution of Fossil Energy Carriers with Electricity-Based Technologies on the Swiss Electricity System," Energies, MDPI, vol. 12(12), pages 1-38, June.
  58. 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).
  59. Gabrielli, Paolo & Fürer, Florian & Mavromatidis, Georgios & Mazzotti, Marco, 2019. "Robust and optimal design of multi-energy systems with seasonal storage through uncertainty analysis," Applied Energy, Elsevier, vol. 238(C), pages 1192-1210.
  60. Niina Helistö & Juha Kiviluoma & Hannele Holttinen & Jose Daniel Lara & Bri‐Mathias Hodge, 2019. "Including operational aspects in the planning of power systems with large amounts of variable generation: A review of modeling approaches," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(5), September.
  61. Pecenak, Zachary K. & Stadler, Michael & Mathiesen, Patrick & Fahy, Kelsey & Kleissl, Jan, 2020. "Robust design of microgrids using a hybrid minimum investment optimization," Applied Energy, Elsevier, vol. 276(C).
  62. Pizzuti, Andrea & Jin, Lingkang & Rossi, Mosè & Marinelli, Fabrizio & Comodi, Gabriele, 2024. "A novel approach for multi-stage investment decisions and dynamic variations in medium-term energy planning for multi-energy carriers community," Applied Energy, Elsevier, vol. 353(PB).
  63. Mansoor, Muhammad & Stadler, Michael & Zellinger, Michael & Lichtenegger, Klaus & Auer, Hans & Cosic, Armin, 2021. "Optimal planning of thermal energy systems in a microgrid with seasonal storage and piecewise affine cost functions," Energy, Elsevier, vol. 215(PA).
  64. Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
  65. Jimenez, I. Sanchez & Ribó-Pérez, D. & Cvetkovic, M. & Kochems, J. & Schimeczek, C. & de Vries, L.J., 2024. "Can an energy only market enable resource adequacy in a decarbonized power system? A co-simulation with two agent-based-models," Applied Energy, Elsevier, vol. 360(C).
  66. Heuberger, Clara F. & Bains, Praveen K. & Mac Dowell, Niall, 2020. "The EV-olution of the power system: A spatio-temporal optimisation model to investigate the impact of electric vehicle deployment," Applied Energy, Elsevier, vol. 257(C).
  67. Teichgraeber, Holger & Lindenmeyer, Constantin P. & Baumgärtner, Nils & Kotzur, Leander & Stolten, Detlef & Robinius, Martin & Bardow, André & Brandt, Adam R., 2020. "Extreme events in time series aggregation: A case study for optimal residential energy supply systems," Applied Energy, Elsevier, vol. 275(C).
  68. Göke, Leonard & Schmidt, Felix & Kendziorski, Mario, 2024. "Stabilized Benders decomposition for energy planning under climate uncertainty," European Journal of Operational Research, Elsevier, vol. 316(1), pages 183-199.
  69. 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).
  70. Robert Bauer & Dominik Schopf & Grégoire Klaus & Raimund Brotsack & Javier Valdes, 2022. "Energy Cell Simulation for Sector Coupling with Power-to-Methane: A Case Study in Lower Bavaria," Energies, MDPI, vol. 15(7), pages 1-22, April.
  71. Göke, Leonard & Kendziorski, Mario, 2022. "Adequacy of time-series reduction for renewable energy systems," Energy, Elsevier, vol. 238(PA).
  72. Jing, Rui & Wang, Meng & Zhang, Zhihui & Wang, Xiaonan & Li, Ning & Shah, Nilay & Zhao, Yingru, 2019. "Distributed or centralized? Designing district-level urban energy systems by a hierarchical approach considering demand uncertainties," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  73. Fodstad, Marte & Crespo del Granado, Pedro & Hellemo, Lars & Knudsen, Brage Rugstad & Pisciella, Paolo & Silvast, Antti & Bordin, Chiara & Schmidt, Sarah & Straus, Julian, 2022. "Next frontiers in energy system modelling: A review on challenges and the state of the art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  74. Zhang, Zhaoyan & Wang, Peiguang & Jiang, Ping & Liu, Zhiheng & Fu, Lei, 2022. "Energy management of ultra-short-term optimal scheduling of integrated energy system considering the characteristics of heating network," Energy, Elsevier, vol. 240(C).
  75. Rigo-Mariani, Rémy, 2022. "Optimized time reduction models applied to power and energy systems planning – Comparison with existing methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
  76. Morgenthaler, Simon & Kuckshinrichs, Wilhelm & Witthaut, Dirk, 2020. "Optimal system layout and locations for fully renewable high temperature co-electrolysis," Applied Energy, Elsevier, vol. 260(C).
  77. Cuisinier, E. & Lemaire, P. & Ruby, A. & Bourasseau, C. & Penz, B., 2023. "Impact of operational modelling choices on techno-economic modelling of local energy systems," Energy, Elsevier, vol. 276(C).
  78. 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.
  79. Teichgraeber, Holger & Küpper, Lucas Elias & Brandt, Adam R., 2021. "Designing reliable future energy systems by iteratively including extreme periods in time-series aggregation," Applied Energy, Elsevier, vol. 304(C).
  80. Jan Witajewski-Baltvilks & Marek Antosiewicz & Andrzej Ceglarz & Haris Doukas & Alexandros Nikas & Jakub Sawulski & Aleksander Szpor & Baiba Witajewska-Baltvilka, 2018. "Risks associated with the decarbonisation of the Polish power sector," IBS Research Reports 05/2018, Instytut Badan Strukturalnych.
  81. Bowen Li & Sukanta Basu & Simon J. Watson & Herman W. J. Russchenberg, 2021. "A Brief Climatology of Dunkelflaute Events over and Surrounding the North and Baltic Sea Areas," Energies, MDPI, vol. 14(20), pages 1-14, October.
  82. Marinko Barukčić & Goran Kurtović & Tin Benšić & Vedrana Jerković Štil, 2023. "Optimal Allocation and Energy Management of Units in Distribution Networks with Multiple Renewable Energy Sources and Battery Storage Based on Computational Intelligence," Energies, MDPI, vol. 16(22), pages 1-22, November.
  83. Müller, Inga M., 2022. "Energy system modeling with aggregated time series: A profiling approach," Applied Energy, Elsevier, vol. 322(C).
  84. Yeganefar, Ali & Amin-Naseri, Mohammad Reza & Sheikh-El-Eslami, Mohammad Kazem, 2020. "Improvement of representative days selection in power system planning by incorporating the extreme days of the net load to take account of the variability and intermittency of renewable resources," Applied Energy, Elsevier, vol. 272(C).
  85. Lugovoy, Oleg & Gao, Shuo & Gao, Ji & Jiang, Kejun, 2021. "Feasibility study of China's electric power sector transition to zero emissions by 2050," Energy Economics, Elsevier, vol. 96(C).
  86. 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.
  87. Gabrielli, Paolo & Gazzani, Matteo & Martelli, Emanuele & Mazzotti, Marco, 2018. "Optimal design of multi-energy systems with seasonal storage," Applied Energy, Elsevier, vol. 219(C), pages 408-424.
  88. Morgenthaler, Simon & Dünzen, Justus & Stadler, Ingo & Witthaut, Dirk, 2021. "Three stages in the co-transformation of the energy and mobility sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
  89. Shireen, Tahasin & Shao, Chenhui & Wang, Hui & Li, Jingjing & Zhang, Xi & Li, Mingyang, 2018. "Iterative multi-task learning for time-series modeling of solar panel PV outputs," Applied Energy, Elsevier, vol. 212(C), pages 654-662.
  90. Frank, Christopher & Fiedler, Stephanie & Crewell, Susanne, 2021. "Balancing potential of natural variability and extremes in photovoltaic and wind energy production for European countries," Renewable Energy, Elsevier, vol. 163(C), pages 674-684.
  91. Eggimann, Sven & Hall, Jim W. & Eyre, Nick, 2019. "A high-resolution spatio-temporal energy demand simulation to explore the potential of heating demand side management with large-scale heat pump diffusion," Applied Energy, Elsevier, vol. 236(C), pages 997-1010.
  92. Martín, Mariano & Grossmann, Ignacio E., 2018. "Optimal integration of renewable based processes for fuels and power production: Spain case study," Applied Energy, Elsevier, vol. 213(C), pages 595-610.
  93. Bartolini, Andrea & Carducci, Francesco & Muñoz, Carlos Boigues & Comodi, Gabriele, 2020. "Energy storage and multi energy systems in local energy communities with high renewable energy penetration," Renewable Energy, Elsevier, vol. 159(C), pages 595-609.
  94. Welder, Lara & Ryberg, D.Severin & Kotzur, Leander & Grube, Thomas & Robinius, Martin & Stolten, Detlef, 2018. "Spatio-temporal optimization of a future energy system for power-to-hydrogen applications in Germany," Energy, Elsevier, vol. 158(C), pages 1130-1149.
  95. 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).
  96. Bartolini, Andrea & Mazzoni, Stefano & Comodi, Gabriele & Romagnoli, Alessandro, 2021. "Impact of carbon pricing on distributed energy systems planning," Applied Energy, Elsevier, vol. 301(C).
  97. Schlachtberger, D.P. & Brown, T. & Schäfer, M. & Schramm, S. & Greiner, M., 2018. "Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints," Energy, Elsevier, vol. 163(C), pages 100-114.
  98. 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.
  99. 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.
  100. Gangopadhyay, A. & Seshadri, A.K. & Sparks, N.J. & Toumi, R., 2022. "The role of wind-solar hybrid plants in mitigating renewable energy-droughts," Renewable Energy, Elsevier, vol. 194(C), pages 926-937.
  101. Gupta, Ruchi & Rüdisüli, Martin & Patel, Martin Kumar & Parra, David, 2022. "Smart power-to-gas deployment strategies informed by spatially explicit cost and value models," Applied Energy, Elsevier, vol. 327(C).
  102. Arne Pöstges & Christoph Weber, "undated". "Identifying key elements for adequate simplifications of investment choices - The case of wind energy expansion," EWL Working Papers 2101, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
  103. Pickering, Bryn & Choudhary, Ruchi, 2021. "Quantifying resilience in energy systems with out-of-sample testing," Applied Energy, Elsevier, vol. 285(C).
  104. Zakeri, Behnam & Cross, Samuel & Dodds, Paul.E. & Gissey, Giorgio Castagneto, 2021. "Policy options for enhancing economic profitability of residential solar photovoltaic with battery energy storage," Applied Energy, Elsevier, vol. 290(C).
  105. Ramirez Camargo, Luis & Valdes, Javier & Masip Macia, Yunesky & Dorner, Wolfgang, 2019. "Assessment of on-site steady electricity generation from hybrid renewable energy systems in Chile," Applied Energy, Elsevier, vol. 250(C), pages 1548-1558.
  106. Oriol Raventós & Julian Bartels, 2020. "Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models," Energies, MDPI, vol. 13(4), pages 1-18, February.
  107. 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).
  108. Guo, Li & Hou, Ruosong & Liu, Yixin & Wang, Chengshan & Lu, Hai, 2020. "A novel typical day selection method for the robust planning of stand-alone wind-photovoltaic-diesel-battery microgrid," Applied Energy, Elsevier, vol. 263(C).
  109. 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).
  110. Jefferson A. Riera & Ricardo M. Lima & Ibrahim Hoteit & Omar Knio, 2022. "Simulated co-optimization of renewable energy and desalination systems in Neom, Saudi Arabia," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  111. Gorman, Nicholas & MacGill, Iain & Bruce, Anna, 2024. "Re-dispatch simplification analysis: Confirmation holism and assessing the impact of simplifications on energy system model performance," Applied Energy, Elsevier, vol. 365(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.