Optimal strategies for carbon capture, utilization and storage based on an inexact mλ-measure fuzzy chance-constrained programming
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DOI: 10.1016/j.energy.2014.10.034
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Cited by:
- Karjunen, Hannu & Tynjälä, Tero & Hyppänen, Timo, 2017. "A method for assessing infrastructure for CO2 utilization: A case study of Finland," Applied Energy, Elsevier, vol. 205(C), pages 33-43.
- C. Dai & Y. P. Cai & W. T. Lu & H. Liu & H. C. Guo, 2016. "Conjunctive Water Use Optimization for Watershed-Lake Water Distribution System under Uncertainty: a Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4429-4449, September.
- Justin Dzuche & Christian Deffo Tassak & Jules Sadefo-Kamdem & Louis Aimé Fono, 2019. "On the first moments and semi-moments of fuzzy variables based on a new measure and application for portfolio selection with fuzzy returns," Working Papers hal-02433463, HAL.
- Zhang, Xiaoxing & Guo, Ping & Zhang, Fan & Liu, Xiao & Yue, Qiong & Wang, Youzhi, 2021. "Optimal irrigation water allocation in Hetao Irrigation District considering decision makers’ preference under uncertainties," Agricultural Water Management, Elsevier, vol. 246(C).
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Keywords
Greenhouse gas; Carbon capture; Utilization and storage; mλ-measure; Chance constrained programming; Uncertainty;All these keywords.
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