IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v204y2017icp831-845.html
   My bibliography  Save this item

Power capacity expansion planning considering endogenous technology cost learning

Citations

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


Cited by:

  1. 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).
  2. Radhanon Diewvilai & Kulyos Audomvongseree, 2022. "Optimal Loss of Load Expectation for Generation Expansion Planning Considering Fuel Unavailability," Energies, MDPI, vol. 15(21), pages 1-17, October.
  3. Santhakumar, Srinivasan & Meerman, Hans & Faaij, André, 2021. "Improving the analytical framework for quantifying technological progress in energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
  4. Fitiwi, Desta & Lynch, Muireann Á. & Bertsch, Valentin, 2019. "Optimal development of electricity generation mix considering fossil fuel phase-out and strategic multi-area interconnection," Papers WP616, Economic and Social Research Institute (ESRI).
  5. Fan, Jing-Li & Wang, Jia-Xing & Hu, Jia-Wei & Wang, Yu & Zhang, Xian, 2019. "Optimization of China’s provincial renewable energy installation plan for the 13th five-year plan based on renewable portfolio standards," Applied Energy, Elsevier, vol. 254(C).
  6. Bordin, Chiara & Mishra, Sambeet & Palu, Ivo, 2021. "A multihorizon approach for the reliability oriented network restructuring problem, considering learning effects, construction time, and cables maintenance costs," Renewable Energy, Elsevier, vol. 168(C), pages 878-895.
  7. 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).
  8. 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.
  9. 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.
  10. Quiroga, Daniela & Sauma, Enzo & Pozo, David, 2019. "Power system expansion planning under global and local emission mitigation policies," Applied Energy, Elsevier, vol. 239(C), pages 1250-1264.
  11. 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).
  12. Nicolas Stevens & Yves Smeers & Anthony Papavasiliou, 2024. "Indivisibilities in investment and the role of a capacity market," Journal of Regulatory Economics, Springer, vol. 66(2), pages 238-272, December.
  13. Renaldi, Renaldi & Hall, Richard & Jamasb, Tooraj & Roskilly, Anthony P., 2021. "Experience rates of low-carbon domestic heating technologies in the United Kingdom," Energy Policy, Elsevier, vol. 156(C).
  14. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
  15. Handayani, Kamia & Krozer, Yoram & Filatova, Tatiana, 2019. "From fossil fuels to renewables: An analysis of long-term scenarios considering technological learning," Energy Policy, Elsevier, vol. 127(C), pages 134-146.
  16. Tso, William W. & Demirhan, C. Doga & Heuberger, Clara F. & Powell, Joseph B. & Pistikopoulos, Efstratios N., 2020. "A hierarchical clustering decomposition algorithm for optimizing renewable power systems with storage," Applied Energy, Elsevier, vol. 270(C).
  17. 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.
  18. Wang, Zhaohua & Li, Jingyun & Wang, Bo & Hui, Ng Szu & Lu, Bin & Wang, Can & Xu, Shuling & Zhou, Zixuan & Zhang, Bin & Zheng, Yufeng, 2024. "The decarbonization pathway of power system by high-resolution model under different policy scenarios in China," Applied Energy, Elsevier, vol. 355(C).
  19. Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
  20. Cole, Wesley & Antonysamy, Adithya & Brown, Patrick & Sergi, Brian & Mai, Trieu & Denholm, Paul, 2023. "How much might it cost to decarbonize the power sector? It depends on the metric," Energy, Elsevier, vol. 276(C).
  21. Benalcazar, Pablo, 2021. "Optimal sizing of thermal energy storage systems for CHP plants considering specific investment costs: A case study," Energy, Elsevier, vol. 234(C).
  22. Tong Koecklin, Manuel & Fitiwi, Desta & de Carolis, Joseph F. & Curtis, John, 2020. "Renewable electricity generation and transmission network developments in light of public opposition: Insights from Ireland," Papers WP653, Economic and Social Research Institute (ESRI).
  23. Radhanon Diewvilai & Kulyos Audomvongseree, 2021. "Generation Expansion Planning with Energy Storage Systems Considering Renewable Energy Generation Profiles and Full-Year Hourly Power Balance Constraints," Energies, MDPI, vol. 14(18), pages 1-25, September.
  24. Chyong, Chi Kong & Newbery, David, 2022. "A unit commitment and economic dispatch model of the GB electricity market – Formulation and application to hydro pumped storage," Energy Policy, Elsevier, vol. 170(C).
  25. 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).
  26. Olympios, Andreas V. & Pantaleo, Antonio M. & Sapin, Paul & Markides, Christos N., 2020. "On the value of combined heat and power (CHP) systems and heat pumps incentralised and distributed heating systems: Lessons from multi-fidelitymodelling approaches," Applied Energy, Elsevier, vol. 274(C).
  27. Simonas Cerniauskas & Thomas Grube & Aaron Praktiknjo & Detlef Stolten & Martin Robinius, 2019. "Future Hydrogen Markets for Transportation and Industry: The Impact of CO 2 Taxes," Energies, MDPI, vol. 12(24), pages 1-26, December.
  28. Zech, Matthias & von Bremen, Lueder, 2024. "End-to-end learning of representative PV capacity factors from aggregated PV feed-ins," Applied Energy, Elsevier, vol. 361(C).
  29. Pavičević, Matija & Kavvadias, Konstantinos & Pukšec, Tomislav & Quoilin, Sylvain, 2019. "Comparison of different model formulations for modelling future power systems with high shares of renewables – The Dispa-SET Balkans model," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  30. Fitiwi, Desta Z. & Lynch, Muireann & Bertsch, Valentin, 2020. "Enhanced network effects and stochastic modelling in generation expansion planning: Insights from an insular power system," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
  31. Rui, Zhenhua & Cui, Kehang & Wang, Xiaoqing & Chun, Jung-Hoon & Li, Yuwei & Zhang, Zhien & Lu, Jun & Chen, Gang & Zhou, Xiyu & Patil, Shirish, 2018. "A comprehensive investigation on performance of oil and gas development in Nigeria: Technical and non-technical analyses," Energy, Elsevier, vol. 158(C), pages 666-680.
  32. Oei, Pao-Yu & Burandt, Thorsten & Hainsch, Karlo & Löffler, Konstantin & Kemfert, Claudia, 2020. "Lessons from Modeling 100% Renewable Scenarios Using GENeSYS-MOD," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(1), pages 103-120.
  33. Rúa, Jairo & Nord, Lars O., 2020. "Optimal control of flexible natural gas combined cycles with stress monitoring: Linear vs nonlinear model predictive control," Applied Energy, Elsevier, vol. 265(C).
  34. Abuzayed, Anas & Hartmann, Niklas, 2022. "MyPyPSA-Ger: Introducing CO2 taxes on a multi-regional myopic roadmap of the German electricity system towards achieving the 1.5 °C target by 2050," Applied Energy, Elsevier, vol. 310(C).
  35. Ning Zhang & Hongcai Dai & Yaohua Wang & Yunzhou Zhang & Yuqing Yang, 2021. "Power system transition in China under the coordinated development of power sources, network, demand response, and energy storage," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 10(2), March.
  36. Stefanie Buchholz & Mette Gamst & David Pisinger, 2020. "Finding a Portfolio of Near-Optimal Aggregated Solutions to Capacity Expansion Energy System Models," SN Operations Research Forum, Springer, vol. 1(1), pages 1-40, March.
  37. Ball-Burack, Ari & Salas, Pablo & Mercure, Jean-Francois, 2022. "Great power, great responsibility: Assessing power sector policy for the UK’s net zero target," Energy Policy, Elsevier, vol. 168(C).
  38. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S., 2018. "State-of-the-art generation expansion planning: A review," Applied Energy, Elsevier, vol. 230(C), pages 563-589.
  39. 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).
  40. Sharma, Tarun & Glynn, James & Panos, Evangelos & Deane, Paul & Gargiulo, Maurizio & Rogan, Fionn & Gallachóir, Brian Ó, 2019. "High performance computing for energy system optimization models: Enhancing the energy policy tool kit," Energy Policy, Elsevier, vol. 128(C), pages 66-74.
  41. Scott, Ian J. & Botterud, Audun & Carvalho, Pedro M.S. & Silva, Carlos A. Santos, 2020. "Renewable energy support policy evaluation: The role of long-term uncertainty in market modelling," Applied Energy, Elsevier, vol. 278(C).
  42. Peter Lopion & Peter Markewitz & Detlef Stolten & Martin Robinius, 2019. "Cost Uncertainties in Energy System Optimization Models: A Quadratic Programming Approach for Avoiding Penny Switching Effects," Energies, MDPI, vol. 12(20), pages 1-12, October.
  43. Kim, Hansung & Lee, Hwarang & Koo, Yoonmo & Choi, Dong Gu, 2020. "Comparative analysis of iterative approaches for incorporating learning-by-doing into the energy system models," Energy, Elsevier, vol. 197(C).
  44. Petkov, Ivalin & Gabrielli, Paolo, 2020. "Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems," Applied Energy, Elsevier, vol. 274(C).
  45. 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).
  46. Demirhan, C. Doga & Tso, William W. & Powell, Joseph B. & Pistikopoulos, Efstratios N., 2021. "A multi-scale energy systems engineering approach towards integrated multi-product network optimization," Applied Energy, Elsevier, vol. 281(C).
  47. Ullmark, Jonathan & Göransson, Lisa & Chen, Peiyuan & Bongiorno, Massimo & Johnsson, Filip, 2021. "Inclusion of frequency control constraints in energy system investment modeling," Renewable Energy, Elsevier, vol. 173(C), pages 249-262.
  48. Moret, Stefano & Babonneau, Frédéric & Bierlaire, Michel & Maréchal, François, 2020. "Overcapacity in European power systems: Analysis and robust optimization approach," Applied Energy, Elsevier, vol. 259(C).
  49. Fang, Xichen & Guo, Hongye & Zhang, Da & Chen, Qixin, 2021. "Cost recovery and investment barriers for renewables under market manipulation of thermal collusion," Applied Energy, Elsevier, vol. 285(C).
  50. Mathias Mier & Jacqueline Adelowo & Valeriya Azarova, 2022. "Endogenous Technological Change in Power Markets," ifo Working Paper Series 373, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  51. 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).
  52. Kosugi, Takanobu, 2023. "Learning rate matters: Reexamining optimal power expansion planning with endogenized technological experience curves," Energy, Elsevier, vol. 283(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.