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Incorporating travel behaviour and travel time into TIMES energy system models

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Cited by:

  1. Raffaele Salvucci & Stefan Petrović & Kenneth Karlsson & Markus Wråke & Tanu Priya Uteng & Olexandr Balyk, 2019. "Energy Scenario Analysis for the Nordic Transport Sector: A Critical Review," Energies, MDPI, vol. 12(12), pages 1-19, June.
  2. Tattini, Jacopo & Gargiulo, Maurizio & Karlsson, Kenneth, 2018. "Reaching carbon neutral transport sector in Denmark – Evidence from the incorporation of modal shift into the TIMES energy system modeling framework," Energy Policy, Elsevier, vol. 113(C), pages 571-583.
  3. 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.
  4. 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.
  5. Salvucci, Raffaele & Tattini, Jacopo & Gargiulo, Maurizio & Lehtilä, Antti & Karlsson, Kenneth, 2018. "Modelling transport modal shift in TIMES models through elasticities of substitution," Applied Energy, Elsevier, vol. 232(C), pages 740-751.
  6. Li, Pei-Hao & Keppo, Ilkka & Strachan, Neil, 2018. "Incorporating homeowners' preferences of heating technologies in the UK TIMES model," Energy, Elsevier, vol. 148(C), pages 716-727.
  7. Jalil-Vega, Francisca & García Kerdan, Iván & Hawkes, Adam D., 2020. "Spatially-resolved urban energy systems model to study decarbonisation pathways for energy services in cities," Applied Energy, Elsevier, vol. 262(C).
  8. Thiel, Christian & Nijs, Wouter & Simoes, Sofia & Schmidt, Johannes & van Zyl, Arnold & Schmid, Erwin, 2016. "The impact of the EU car CO2 regulation on the energy system and the role of electro-mobility to achieve transport decarbonisation," Energy Policy, Elsevier, vol. 96(C), pages 153-166.
  9. Wang, Huan & Chen, Wenying, 2019. "Modelling deep decarbonization of industrial energy consumption under 2-degree target: Comparing China, India and Western Europe," Applied Energy, Elsevier, vol. 238(C), pages 1563-1572.
  10. Fais, Birgit & Sabio, Nagore & Strachan, Neil, 2016. "The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets," Applied Energy, Elsevier, vol. 162(C), pages 699-712.
  11. Blanco, Herib & Gómez Vilchez, Jonatan J. & Nijs, Wouter & Thiel, Christian & Faaij, André, 2019. "Soft-linking of a behavioral model for transport with energy system cost optimization applied to hydrogen in EU," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
  12. Pye, Steve & Daly, Hannah, 2015. "Modelling sustainable urban travel in a whole systems energy model," Applied Energy, Elsevier, vol. 159(C), pages 97-107.
  13. Lukáš Rečka & Milan Ščasný, 2017. "Impacts of Reclassified Brown Coal Reserves on the Energy System and Deep Decarbonisation Target in the Czech Republic," Energies, MDPI, vol. 10(12), pages 1-27, November.
  14. Salvucci, Raffaele & Gargiulo, Maurizio & Karlsson, Kenneth, 2019. "The role of modal shift in decarbonising the Scandinavian transport sector: Applying substitution elasticities in TIMES-Nordic," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
  15. Dennis Dreier & Mark Howells, 2019. "OSeMOSYS-PuLP: A Stochastic Modeling Framework for Long-Term Energy Systems Modeling," Energies, MDPI, vol. 12(7), pages 1-26, April.
  16. Shixiang Li & Jianru Shi & Qiaosheng Wu, 2020. "Environmental Kuznets Curve: Empirical Relationship between Energy Consumption and Economic Growth in Upper-Middle-Income Regions of China," IJERPH, MDPI, vol. 17(19), pages 1-27, September.
  17. Andreas Andreou & Panagiotis Fragkos & Theofano Fotiou & Faidra Filippidou, 2022. "Assessing Lifestyle Transformations and Their Systemic Effects in Energy-System and Integrated Assessment Models: A Review of Current Methods and Data," Energies, MDPI, vol. 15(14), pages 1-24, July.
  18. J.-F. Mercure & A. Lam & S. Billington & H. Pollitt, 2018. "Integrated assessment modelling as a positive science: private passenger road transport policies to meet a climate target well below 2 ∘C," Climatic Change, Springer, vol. 151(2), pages 109-129, November.
  19. Andrea Alonso & Andrés Monzón & Yang Wang, 2017. "Modelling Land Use and Transport Policies to Measure Their Contribution to Urban Challenges: The Case of Madrid," Sustainability, MDPI, vol. 9(3), pages 1-28, March.
  20. Tokimatsu, Koji & Konishi, Satoshi & Ishihara, Keiichi & Tezuka, Tetsuo & Yasuoka, Rieko & Nishio, Masahiro, 2016. "Role of innovative technologies under the global zero emissions scenarios," Applied Energy, Elsevier, vol. 162(C), pages 1483-1493.
  21. Emmanuel Fragnière & Roman Kanala & Francesco Moresino & Adriana Reveiu & Ion Smeureanu, 2017. "Coupling techno-economic energy models with behavioral approaches," Operational Research, Springer, vol. 17(2), pages 633-647, July.
  22. Seljom, Pernille & Tomasgard, Asgeir, 2017. "The impact of policy actions and future energy prices on the cost-optimal development of the energy system in Norway and Sweden," Energy Policy, Elsevier, vol. 106(C), pages 85-102.
  23. Pedro Gerber Machado & Dominique Mouette & Luz D. Villanueva & A. Ricardo Esparta & Bruno Mendes Leite & Edmilson Moutinho dos Santos, 2019. "Energy systems modeling: Trends in research publication," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(4), July.
  24. Zhang, Runsen & Fujimori, Shinichiro & Dai, Hancheng & Hanaoka, Tatsuya, 2018. "Contribution of the transport sector to climate change mitigation: Insights from a global passenger transport model coupled with a computable general equilibrium model," Applied Energy, Elsevier, vol. 211(C), pages 76-88.
  25. Gerboni, Raffaella & Grosso, Daniele & Carpignano, Andrea & Dalla Chiara, Bruno, 2017. "Linking energy and transport models to support policy making," Energy Policy, Elsevier, vol. 111(C), pages 336-345.
  26. Ramea, Kalai & Bunch, David S. & Yang, Christopher & Yeh, Sonia & Ogden, Joan M., 2018. "Integration of behavioral effects from vehicle choice models into long-term energy systems optimization models," Energy Economics, Elsevier, vol. 74(C), pages 663-676.
  27. 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.
  28. Vaillancourt, Kathleen & Bahn, Olivier & Roy, Pierre-Olivier & Patreau, Valérie, 2018. "Is there a future for new hydrocarbon projects in a decarbonizing energy system? A case study for Quebec (Canada)," Applied Energy, Elsevier, vol. 218(C), pages 114-130.
  29. Li, Francis G.N. & Bataille, Chris & Pye, Steve & O'Sullivan, Aidan, 2019. "Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?," Applied Energy, Elsevier, vol. 239(C), pages 991-1002.
  30. Horak, Daniel & Hainoun, Ali & Neugebauer, Georg & Stoeglehner, Gernot, 2022. "A review of spatio-temporal urban energy system modeling for urban decarbonization strategy formulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
  31. Eimantas Neniškis & Arvydas Galinis & Egidijus Norvaiša, 2021. "Improving Transport Modeling in MESSAGE Energy Planning Model: Vehicle Age Distributions," Energies, MDPI, vol. 14(21), pages 1-16, November.
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