IDEAS home Printed from https://ideas.repec.org/r/eee/eneeco/v33y2011i2p145-152.html
   My bibliography  Save this item

Using modeling to generate alternatives (MGA) to expand our thinking on energy futures

Citations

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


Cited by:

  1. Koppelaar, Rembrandt H.E.M. & Keirstead, James & Shah, Nilay & Woods, Jeremy, 2016. "A review of policy analysis purpose and capabilities of electricity system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1531-1544.
  2. Aditya Sinha & Aranya Venkatesh & Katherine Jordan & Cameron Wade & Hadi Eshraghi & Anderson R. Queiroz & Paulina Jaramillo & Jeremiah X. Johnson, 2024. "Diverse decarbonization pathways under near cost-optimal futures," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  3. Sasse, Jan-Philipp & Trutnevyte, Evelina, 2019. "Distributional trade-offs between regionally equitable and cost-efficient allocation of renewable electricity generation," Applied Energy, Elsevier, vol. 254(C).
  4. Sasse, Jan-Philipp & Trutnevyte, Evelina, 2023. "Cost-effective options and regional interdependencies of reaching a low-carbon European electricity system in 2035," Energy, Elsevier, vol. 282(C).
  5. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
  6. 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.
  7. 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.
  8. Granacher, Julia & Nguyen, Tuong-Van & Castro-Amoedo, Rafael & Maréchal, François, 2022. "Overcoming decision paralysis—A digital twin for decision making in energy system design," Applied Energy, Elsevier, vol. 306(PA).
  9. Merrick, James H., 2016. "On representation of temporal variability in electricity capacity planning models," Energy Economics, Elsevier, vol. 59(C), pages 261-274.
  10. Joseph F. DeCarolis & Samaneh Babaee & Binghui Li & Suyash Kanungo, 2019. "Energy Scenario Exploration with Modeling to Generate Alternatives (MGA)," Papers 1912.03788, arXiv.org.
  11. Richard L Church & Carlos A Baez, 2020. "Generating optimal and near-optimal solutions to facility location problems," Environment and Planning B, , vol. 47(6), pages 1014-1030, July.
  12. Annika Gillich & Kai Hufendiek, 2022. "Asset Profitability in the Electricity Sector: An Iterative Approach in a Linear Optimization Model," Energies, MDPI, vol. 15(12), pages 1-31, June.
  13. Dodds, Paul E., 2014. "Integrating housing stock and energy system models as a strategy to improve heat decarbonisation assessments," Applied Energy, Elsevier, vol. 132(C), pages 358-369.
  14. Finke, Jonas & Bertsch, Valentin, 2022. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," MPRA Paper 115504, University Library of Munich, Germany.
  15. 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).
  16. Silva, Felipe L.C. & Souza, Reinaldo C. & Cyrino Oliveira, Fernando L. & Lourenco, Plutarcho M. & Calili, Rodrigo F., 2018. "A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil," Energy, Elsevier, vol. 144(C), pages 1107-1118.
  17. DeCarolis, Joseph F. & Hunter, Kevin & Sreepathi, Sarat, 2012. "The case for repeatable analysis with energy economy optimization models," Energy Economics, Elsevier, vol. 34(6), pages 1845-1853.
  18. Lombardi, Francesco & Pickering, Bryn & Pfenninger, Stefan, 2023. "What is redundant and what is not? Computational trade-offs in modelling to generate alternatives for energy infrastructure deployment," Applied Energy, Elsevier, vol. 339(C).
  19. Trutnevyte, Evelina, 2013. "EXPANSE methodology for evaluating the economic potential of renewable energy from an energy mix perspective," Applied Energy, Elsevier, vol. 111(C), pages 593-601.
  20. Hunter, Kevin & Sreepathi, Sarat & DeCarolis, Joseph F., 2013. "Modeling for insight using Tools for Energy Model Optimization and Analysis (Temoa)," Energy Economics, Elsevier, vol. 40(C), pages 339-349.
  21. Jing, Rui & Kuriyan, Kamal & Kong, Qingyuan & Zhang, Zhihui & Shah, Nilay & Li, Ning & Zhao, Yingru, 2019. "Exploring the impact space of different technologies using a portfolio constraint based approach for multi-objective optimization of integrated urban energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
  22. Scheer, Dirk, 2017. "Communicating energy system modelling to the wider public: An analysis of German media coverage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1389-1398.
  23. Chen, Yi-kuang & Kirkerud, Jon Gustav & Bolkesjø, Torjus Folsland, 2022. "Balancing GHG mitigation and land-use conflicts: Alternative Northern European energy system scenarios," Applied Energy, Elsevier, vol. 310(C).
  24. Dimanchev, Emil & Gabriel, Steven A. & Reichenberg, Lina & Korpås, Magnus, 2024. "Consequences of the missing risk market problem for power system emissions," Energy Economics, Elsevier, vol. 136(C).
  25. 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).
  26. Schwaeppe, Henrik & Thams, Marten Simon & Walter, Julian & Moser, Albert, 2024. "Finding better alternatives: Shadow prices of near-optimal solutions in energy system optimization modeling," Energy, Elsevier, vol. 292(C).
  27. Finke, Jonas & Bertsch, Valentin, 2023. "Implementing a highly adaptable method for the multi-objective optimisation of energy systems," Applied Energy, Elsevier, vol. 332(C).
  28. Kachirayil, Febin & Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2022. "Reviewing local and integrated energy system models: insights into flexibility and robustness challenges," Applied Energy, Elsevier, vol. 324(C).
  29. Dubois, Antoine & Dumas, Jonathan & Thiran, Paolo & Limpens, Gauthier & Ernst, Damien, 2023. "Multi-objective near-optimal necessary conditions for multi-sectoral planning," Applied Energy, Elsevier, vol. 350(C).
  30. Paolo Thiran & Hervé Jeanmart & Francesco Contino, 2023. "Validation of a Method to Select a Priori the Number of Typical Days for Energy System Optimisation Models," Energies, MDPI, vol. 16(6), pages 1-20, March.
  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. 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.
  33. da Silva, Felipe L.C. & Cyrino Oliveira, Fernando L. & Souza, Reinaldo C., 2019. "A bottom-up bayesian extension for long term electricity consumption forecasting," Energy, Elsevier, vol. 167(C), pages 198-210.
  34. Trutnevyte, Evelina, 2016. "Does cost optimization approximate the real-world energy transition?," Energy, Elsevier, vol. 106(C), pages 182-193.
  35. Yue, Xiufeng & Deane, J.P. & O'Gallachoir, Brian & Rogan, Fionn, 2020. "Identifying decarbonisation opportunities using marginal abatement cost curves and energy system scenario ensembles," Applied Energy, Elsevier, vol. 276(C).
  36. Christoph Weissbart, 2018. "Decarbonization of Power Markets under Stability and Fairness: Do They Influence Efficiency?," ifo Working Paper Series 270, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  37. Arie ten Cate, 2012. "The socially optimal energy transition in a residential neighbourhood in the Netherlands," CPB Discussion Paper 222, CPB Netherlands Bureau for Economic Policy Analysis.
  38. Berntsen, Philip B. & Trutnevyte, Evelina, 2017. "Ensuring diversity of national energy scenarios: Bottom-up energy system model with Modeling to Generate Alternatives," Energy, Elsevier, vol. 126(C), pages 886-898.
  39. Jan-Philipp Sasse & Evelina Trutnevyte, 2023. "A low-carbon electricity sector in Europe risks sustaining regional inequalities in benefits and vulnerabilities," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.