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Optimal strategies for carbon capture, utilization and storage based on an inexact mλ-measure fuzzy chance-constrained programming

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  • Dai, C.
  • Cai, Y.P.
  • Li, Y.P.
  • Sun, W.
  • Wang, X.W.
  • Guo, H.C.

Abstract

In this study, IMP (interval mathematical programming), mλ-measure, and fuzzy chance-constrained programming are incorporated into a general optimization framework, leading to an IMFCP (interval-parameter mλ-measure based fuzzy chance-constrained programming) method. The IMFCP method can be used to deal with not only interval uncertainties in the objective function, variables and left-hand side parameters, but also fuzzy uncertainties in the right-hand side. mλ-measure, which has the advantage of self-dual and can reflect the aspiration preference of decision makers, is used to describe the failure risk of fuzzy chance constrains. As a more generalized approach compared with credibility constrained programming, IMFCP can reflect the balance between optimism and pessimism. The developed method is applied to the long-term planning of CCUS (carbon capture, utilization and storage) management system. The results of IMFCP method can generate a series of CCUS management patterns under different risk levels, gain in-depth insights into the effects of uncertainties, and consider a proper balance between system costs and risks of constraint violation.

Suggested Citation

  • Dai, C. & Cai, Y.P. & Li, Y.P. & Sun, W. & Wang, X.W. & Guo, H.C., 2014. "Optimal strategies for carbon capture, utilization and storage based on an inexact mλ-measure fuzzy chance-constrained programming," Energy, Elsevier, vol. 78(C), pages 465-478.
  • Handle: RePEc:eee:energy:v:78:y:2014:i:c:p:465-478
    DOI: 10.1016/j.energy.2014.10.034
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    Cited by:

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    2. 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.
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    4. 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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