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Technological learning in bioenergy systems

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Cited by:

  1. Guo, Jian-Xin & Zhu, Lei & Fan, Ying, 2016. "Emission path planning based on dynamic abatement cost curve," European Journal of Operational Research, Elsevier, vol. 255(3), pages 996-1013.
  2. Weiss, Martin & Patel, Martin K. & Junginger, Martin & Blok, Kornelis, 2010. "Analyzing price and efficiency dynamics of large appliances with the experience curve approach," Energy Policy, Elsevier, vol. 38(2), pages 770-783, February.
  3. Kalt, Gerald & Kranzl, Lukas, 2011. "Assessing the economic efficiency of bioenergy technologies in climate mitigation and fossil fuel replacement in Austria using a techno-economic approach," Applied Energy, Elsevier, vol. 88(11), pages 3665-3684.
  4. Karali, Nihan & Park, Won Young & McNeil, Michael, 2017. "Modeling technological change and its impact on energy savings in the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 202(C), pages 447-458.
  5. Bressanin, Jéssica Marcon & Guimarães, Henrique Real & Chagas, Mateus Ferreira & Sampaio, Isabelle Lobo de Mesquita & Klein, Bruno Colling & Watanabe, Marcos Djun Barbosa & Bonomi, Antonio & Morais, E, 2021. "Advanced technologies for electricity production in the sugarcane value chain are a strategic option in a carbon reward policy context," Energy Policy, Elsevier, vol. 159(C).
  6. Oniszk-Popławska, Anna & Matyka, Mariusz & Ryńska, Elżbieta Dagny, 2014. "Evaluation of a long-term potential for the development of agricultural biogas plants: A case study for the Lubelskie Province, Poland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 329-349.
  7. Collet, Pierre & Flottes, Eglantine & Favre, Alain & Raynal, Ludovic & Pierre, Hélène & Capela, Sandra & Peregrina, Carlos, 2017. "Techno-economic and Life Cycle Assessment of methane production via biogas upgrading and power to gas technology," Applied Energy, Elsevier, vol. 192(C), pages 282-295.
  8. Kahouli-Brahmi, Sondes, 2009. "Testing for the presence of some features of increasing returns to adoption factors in energy system dynamics: An analysis via the learning curve approach," Ecological Economics, Elsevier, vol. 68(4), pages 1195-1212, February.
  9. Audrey Laude & Christian Jonen, 2011. "Biomass and CCS: The influence of the learning effect," Working Papers halshs-00829779, HAL.
  10. Lin, Boqiang & He, Jiaxin, 2016. "Learning curves for harnessing biomass power: What could explain the reduction of its cost during the expansion of China?," Renewable Energy, Elsevier, vol. 99(C), pages 280-288.
  11. Christian JONEN & Audrey LAUDE, 2011. "Biomasse and CCS: The Influence of the Learning Effect," LEO Working Papers / DR LEO 273, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
  12. Zhou, Li & Duan, Maosheng & Yu, Yadong & Zhang, Xiliang, 2018. "Learning rates and cost reduction potential of indirect coal-to-liquid technology coupled with CO2 capture," Energy, Elsevier, vol. 165(PB), pages 21-32.
  13. Batidzirai, B. & Mignot, A.P.R. & Schakel, W.B. & Junginger, H.M. & Faaij, A.P.C., 2013. "Biomass torrefaction technology: Techno-economic status and future prospects," Energy, Elsevier, vol. 62(C), pages 196-214.
  14. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
  15. Elena Verdolini & Laura Díaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2018. "Future Prospects for Energy Technologies: Insights from Expert Elicitations," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 133-153.
  16. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
  17. Delivand, Mitra Kami & Barz, Mirko & Gheewala, Shabbir H. & Sajjakulnukit, Boonrod, 2011. "Economic feasibility assessment of rice straw utilization for electricity generating through combustion in Thailand," Applied Energy, Elsevier, vol. 88(11), pages 3651-3658.
  18. Holtermann, Timm & Madlener, Reinhard, 2011. "Assessment of the technological development and economic potential of photobioreactors," Applied Energy, Elsevier, vol. 88(5), pages 1906-1919, May.
  19. Weiss, Martin & Dittmar, Lars & Junginger, Martin & Patel, Martin K. & Blok, Kornelis, 2009. "Market diffusion, technological learning, and cost-benefit dynamics of condensing gas boilers in the Netherlands," Energy Policy, Elsevier, vol. 37(8), pages 2962-2976, August.
  20. Bossink, Bart, 2020. "Learning strategies in sustainable energy demonstration projects: What organizations learn from sustainable energy demonstrations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
  21. Li, Sheng & Zhang, Xiaosong & Gao, Lin & Jin, Hongguang, 2012. "Learning rates and future cost curves for fossil fuel energy systems with CO2 capture: Methodology and case studies," Applied Energy, Elsevier, vol. 93(C), pages 348-356.
  22. Muhammad Ridhuan Tony Lim Abdullah & Saedah Siraj & Zulkipli Ghazali, 2021. "An ISM Approach for Managing Critical Stakeholder Issues Regarding Carbon Capture and Storage (CCS) Deployment in Developing Asian Countries," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
  23. Li, Sheng & Gao, Lin & Zhang, Xiaosong & Lin, Hu & Jin, Hongguang, 2012. "Evaluation of cost reduction potential for a coal based polygeneration system with CO2 capture," Energy, Elsevier, vol. 45(1), pages 101-106.
  24. Hong, Sungjun & Chung, Yanghon & Woo, Chungwon, 2015. "Scenario analysis for estimating the learning rate of photovoltaic power generation based on learning curve theory in South Korea," Energy, Elsevier, vol. 79(C), pages 80-89.
  25. Mola-Yudego, Blas & Dimitriou, Ioannis & Gonzalez-Garcia, Sara & Gritten, David & Aronsson, Pär, 2014. "A conceptual framework for the introduction of energy crops," Renewable Energy, Elsevier, vol. 72(C), pages 29-38.
  26. Meyer, Markus A. & Weiss, Annika, 2014. "Life cycle costs for the optimized production of hydrogen and biogas from microalgae," Energy, Elsevier, vol. 78(C), pages 84-93.
  27. Gerssen-Gondelach, S.J. & Saygin, D. & Wicke, B. & Patel, M.K. & Faaij, A.P.C., 2014. "Competing uses of biomass: Assessment and comparison of the performance of bio-based heat, power, fuels and materials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 964-998.
  28. 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).
  29. Shafie, S.M., 2016. "A review on paddy residue based power generation: Energy, environment and economic perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1089-1100.
  30. Ehlers, Melf-Hinrich & Sutherland, Lee-Ann, 2016. "Patterns of attention to renewable energy in the British farming press from 1980 to 2013," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 959-973.
  31. Reinhard Haas & Marlene Sayer & Amela Ajanovic & Hans Auer, 2023. "Technological learning: Lessons learned on energy technologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(2), March.
  32. Mäkelä, Matti & Lintunen, Jussi & Kangas, Hanna-Liisa & Uusivuori, Jussi, 2011. "Pellet promotion in the Finnish sawmilling industry: The cost-effectiveness of different policy instruments," Journal of Forest Economics, Elsevier, vol. 17(2), pages 185-196, April.
  33. Pihl, Erik & Heyne, Stefan & Thunman, Henrik & Johnsson, Filip, 2010. "Highly efficient electricity generation from biomass by integration and hybridization with combined cycle gas turbine (CCGT) plants for natural gas," Energy, Elsevier, vol. 35(10), pages 4042-4052.
  34. Böhm, Hans & Zauner, Andreas & Rosenfeld, Daniel C. & Tichler, Robert, 2020. "Projecting cost development for future large-scale power-to-gas implementations by scaling effects," Applied Energy, Elsevier, vol. 264(C).
  35. del Río, Pablo & Peñasco, Cristina & Mir-Artigues, Pere, 2018. "An overview of drivers and barriers to concentrated solar power in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1019-1029.
  36. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
  37. Jablonski, Sophie & Strachan, Neil & Brand, Christian & Bauen, Ausilio, 2010. "The role of bioenergy in the UK's energy future formulation and modelling of long-term UK bioenergy scenarios," Energy Policy, Elsevier, vol. 38(10), pages 5799-5816, October.
  38. Festel, Gunter & Würmseher, Martin & Rammer, Christian & Boles, Eckhard & Bellof, Martin, 2013. "Modelling production cost scenarios for biofuels and fossil fuels in Europe," ZEW Discussion Papers 13-075, ZEW - Leibniz Centre for European Economic Research.
  39. de Wit, Marc & Junginger, Martin & Faaij, André, 2013. "Learning in dedicated wood production systems: Past trends, future outlook and implications for bioenergy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 417-432.
  40. Xu, Zhongming & Fang, Chenhao & Ma, Tieju, 2020. "Analysis of China’s olefin industry using a system optimization model considering technological learning and energy consumption reduction," Energy, Elsevier, vol. 191(C).
  41. Elia, A. & Taylor, M. & Ó Gallachóir, B. & Rogan, F., 2020. "Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers," Energy Policy, Elsevier, vol. 147(C).
  42. Jupesta, Joni, 2012. "Modeling technological changes in the biofuel production system in Indonesia," Applied Energy, Elsevier, vol. 90(1), pages 211-217.
  43. C. Tattersall Smith & Brenna Lattimore & Göran Berndes & Niclas Scott Bentsen & Ioannis Dimitriou & J.W.A. (Hans) Langeveld & Evelyne Thiffault, 2017. "Opportunities to encourage mobilization of sustainable bioenergy supply chains," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(3), May.
  44. Wu, X.D. & Yang, Q. & Chen, G.Q. & Hayat, T. & Alsaedi, A., 2016. "Progress and prospect of CCS in China: Using learning curve to assess the cost-viability of a 2×600MW retrofitted oxyfuel power plant as a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1274-1285.
  45. Felix Groba & Barbara Breitschopf, 2013. "Impact of Renewable Energy Policy and Use on Innovation: A Literature Review," Discussion Papers of DIW Berlin 1318, DIW Berlin, German Institute for Economic Research.
  46. van Eijck, Janske & Batidzirai, Bothwell & Faaij, André, 2014. "Current and future economic performance of first and second generation biofuels in developing countries," Applied Energy, Elsevier, vol. 135(C), pages 115-141.
  47. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
  48. Huang, Albert Ying-Je & Liu, Ruey-Hua, 2008. "Learning for supplying as a motive to be the early adopter of a new energy technology: A study on the adoption of stationary fuel cells," Energy Policy, Elsevier, vol. 36(6), pages 2143-2153, June.
  49. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
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