A social learning approach to carbon capture and storage demonstration project management: An empirical analysis
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DOI: 10.1016/j.apenergy.2021.117336
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Cited by:
- Sara Yasemi & Yasin Khalili & Ali Sanati & Mohammadreza Bagheri, 2023. "Carbon Capture and Storage: Application in the Oil and Gas Industry," Sustainability, MDPI, vol. 15(19), pages 1-32, October.
- Kévin Nadarajah & Laurent Brun & Stéphanie Bordel & Emeline Ah-Tchine & Anissa Dumesnil & Antoine Marques Mourato & Jacques Py & Laurent Jammes & Xavier Arnauld De Sartre & Alain Somat, 2024. "A Three-Stage Psychosocial Engineering-Based Method to Support Controversy and Promote Mutual Understanding between Stakeholders: The Case of CO 2 Geological Storage," Energies, MDPI, vol. 17(5), pages 1-15, February.
- Yanbin Li & Yanting Sun & Yulin Kang & Feng Zhang & Junjie Zhang, 2023. "An Optimal Site Selection Framework for Near-Zero Carbon Emission Power Plants Based on Multiple Stakeholders," Energies, MDPI, vol. 16(2), pages 1-26, January.
- Fang, Tianhui & Zheng, Chunling & Wang, Donghua, 2023. "Forecasting the crude oil prices with an EMD-ISBM-FNN model," Energy, Elsevier, vol. 263(PA).
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Keywords
Carbon Capture and Storage Projects; Decision Simulation; Feasibility Evaluation; Random Forests Algorithm; Social learning;All these keywords.
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