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Short term decisions for long term problems – The effect of foresight on model based energy systems analysis

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Cited by:

  1. Chen, Huayi & Ma, Tieju, 2021. "Technology adoption and carbon emissions with dynamic trading among heterogeneous agents," Energy Economics, Elsevier, vol. 99(C).
  2. 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.
  3. Johnson, Nils & Krey, Volker & McCollum, David L. & Rao, Shilpa & Riahi, Keywan & Rogelj, Joeri, 2015. "Stranded on a low-carbon planet: Implications of climate policy for the phase-out of coal-based power plants," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 89-102.
  4. Manzoor, Davood & Aryanpur, Vahid, 2017. "Power sector development in Iran: A retrospective optimization approach," Energy, Elsevier, vol. 140(P1), pages 330-339.
  5. Li, Francis G.N. & Trutnevyte, Evelina, 2017. "Investment appraisal of cost-optimal and near-optimal pathways for the UK electricity sector transition to 2050," Applied Energy, Elsevier, vol. 189(C), pages 89-109.
  6. 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.
  7. Benjamin D. Leibowicz & Maria Roumpani & Peter H. Larsen, 2013. "Carbon Emissions Caps and the Impact of a Radical Change in Nuclear Electricity Costs," International Journal of Energy Economics and Policy, Econjournals, vol. 3(1), pages 60-74.
  8. Chen, Xiaotong & Yang, Fang & Zhang, Shining & Zakeri, Behnam & Chen, Xing & Liu, Changyi & Hou, Fangxin, 2021. "Regional emission pathways, energy transition paths and cost analysis under various effort-sharing approaches for meeting Paris Agreement goals," Energy, Elsevier, vol. 232(C).
  9. Welkenhuysen, Kris & Rupert, Jort & Compernolle, Tine & Ramirez, Andrea & Swennen, Rudy & Piessens, Kris, 2017. "Considering economic and geological uncertainty in the simulation of realistic investment decisions for CO2-EOR projects in the North Sea," Applied Energy, Elsevier, vol. 185(P1), pages 745-761.
  10. 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).
  11. Alexandre C. Köberle & Pedro R. R. Rochedo & André F. P. Lucena & Alexandre Szklo & Roberto Schaeffer, 2020. "Brazil’s emission trajectories in a well-below 2 °C world: the role of disruptive technologies versus land-based mitigation in an already low-emission energy system," Climatic Change, Springer, vol. 162(4), pages 1823-1842, October.
  12. Sitarz, Joanna & Pahle, Michael & Osorio, Sebastian & Luderer, Gunnar & Pietzcker, Robert, 2023. "EU carbon prices signal high policy credibility and farsighted actors," EconStor Preprints 280455, ZBW - Leibniz Information Centre for Economics.
  13. Leibowicz, Benjamin D. & Krey, Volker & Grubler, Arnulf, 2016. "Representing spatial technology diffusion in an energy system optimization model," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 350-363.
  14. Anna Garcia-Teruel & Yvonne Scholz & Wolfgang Weimer-Jehle & Sigrid Prehofer & Karl-Kiên Cao & Frieder Borggrefe, 2022. "Teaching Power-Sector Models Social and Political Awareness," Energies, MDPI, vol. 15(9), pages 1-24, April.
  15. Jessica Thomsen & Noha Saad Hussein & Arnold Dolderer & Christoph Kost, 2021. "Effect of the Foresight Horizon on Computation Time and Results Using a Regional Energy Systems Optimization Model," Energies, MDPI, vol. 14(2), pages 1-22, January.
  16. Marcucci, Adriana & Turton, Hal, 2015. "Induced technological change in moderate and fragmented climate change mitigation regimes," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 230-242.
  17. Li, Pei-Hao & Barazza, Elsa & Strachan, Neil, 2022. "The influences of non-optimal investments on the scale-up of smart local energy systems in the UK electricity market," Energy Policy, Elsevier, vol. 170(C).
  18. Rodrigues, Renato & Linares, Pedro, 2014. "Electricity load level detail in computational general equilibrium – Part I – Data and calibration," Energy Economics, Elsevier, vol. 46(C), pages 258-266.
  19. Liu, Liansheng & Kong, Fanxin & Liu, Xue & Peng, Yu & Wang, Qinglong, 2015. "A review on electric vehicles interacting with renewable energy in smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 648-661.
  20. Andreas Sahlberg & Babak Khavari & Ismail Mohamed & Francesco Fuso Nerini, 2023. "Comparison of Least-Cost Pathways towards Universal Electricity Access in Somalia over Different Timelines," Energies, MDPI, vol. 16(18), pages 1-20, September.
  21. Chen, Huayi & Ma, Tieju, 2017. "Optimizing systematic technology adoption with heterogeneous agents," European Journal of Operational Research, Elsevier, vol. 257(1), pages 287-296.
  22. Moglianesi, Andrea & Keppo, Ilkka & Lerede, Daniele & Savoldi, Laura, 2023. "Role of technology learning in the decarbonization of the iron and steel sector: An energy system approach using a global-scale optimization model," Energy, Elsevier, vol. 274(C).
  23. 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).
  24. Prina, Matteo Giacomo & Lionetti, Matteo & Manzolini, Giampaolo & Sparber, Wolfram & Moser, David, 2019. "Transition pathways optimization methodology through EnergyPLAN software for long-term energy planning," Applied Energy, Elsevier, vol. 235(C), pages 356-368.
  25. Pizarro-Alonso, Amalia & Ravn, Hans & Münster, Marie, 2019. "Uncertainties towards a fossil-free system with high integration of wind energy in long-term planning," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  26. 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).
  27. Chen, Huayi & Zhou, P., 2019. "Modeling systematic technology adoption: Can one calibrated representative agent represent heterogeneous agents?," Omega, Elsevier, vol. 89(C), pages 257-270.
  28. Cantore, Nicola, 2012. "Sustainability of the energy sector in the Mediterranean region," Energy, Elsevier, vol. 48(1), pages 423-430.
  29. Morris, Jennifer F. & Reilly, John M. & Chen, Y.-H. Henry, 2019. "Advanced technologies in energy-economy models for climate change assessment," Energy Economics, Elsevier, vol. 80(C), pages 476-490.
  30. Rečka, L. & Ščasný, M., 2016. "Impacts of carbon pricing, brown coal availability and gas cost on Czech energy system up to 2050," Energy, Elsevier, vol. 108(C), pages 19-33.
  31. Price, James & Keppo, Ilkka, 2017. "Modelling to generate alternatives: A technique to explore uncertainty in energy-environment-economy models," Applied Energy, Elsevier, vol. 195(C), pages 356-369.
  32. Guo, Yingjian & Hawkes, Adam, 2018. "Simulating the game-theoretic market equilibrium and contract-driven investment in global gas trade using an agent-based method," Energy, Elsevier, vol. 160(C), pages 820-834.
  33. Svensson, Elin & Strömberg, Ann-Brith & Patriksson, Michael, 2011. "A model for optimization of process integration investments under uncertainty," Energy, Elsevier, vol. 36(5), pages 2733-2746.
  34. Löffler, Konstantin & Burandt, Thorsten & Hainsch, Karlo & Oei, Pao-Yu, 2019. "Modeling the low-carbon transition of the European energy system - A quantitative assessment of the stranded assets problem," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 26, pages 1-15.
  35. Welsch, M. & Howells, M. & Bazilian, M. & DeCarolis, J.F. & Hermann, S. & Rogner, H.H., 2012. "Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code," Energy, Elsevier, vol. 46(1), pages 337-350.
  36. 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.
  37. Heinrichs, Heidi & Jochem, Patrick & Fichtner, Wolf, 2014. "Including road transport in the EU ETS (European Emissions Trading System): A model-based analysis of the German electricity and transport sector," Energy, Elsevier, vol. 69(C), pages 708-720.
  38. Chen, Huayi & Ma, Tieju, 2014. "Technology adoption with limited foresight and uncertain technological learning," European Journal of Operational Research, Elsevier, vol. 239(1), pages 266-275.
  39. Soares M.C. Borba, Bruno & Szklo, Alexandre & Schaeffer, Roberto, 2012. "Plug-in hybrid electric vehicles as a way to maximize the integration of variable renewable energy in power systems: The case of wind generation in northeastern Brazil," Energy, Elsevier, vol. 37(1), pages 469-481.
  40. He, Qi & Jiang, Xujia & Gouldson, Andy & Sudmant, Andrew & Guan, Dabo & Colenbrander, Sarah & Xue, Tao & Zheng, Bo & Zhang, Qiang, 2016. "Climate change mitigation in Chinese megacities: A measures-based analysis of opportunities in the residential sector," Applied Energy, Elsevier, vol. 184(C), pages 769-778.
  41. Trutnevyte, Evelina, 2016. "Does cost optimization approximate the real-world energy transition?," Energy, Elsevier, vol. 106(C), pages 182-193.
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