Process analysis-based industrial production modelling with uncertainty: A linear fractional programming for joint optimization of total caron emissions and emission intensity

Energy-intensive industries are characterized by high energy consumption and carbon emissions during production, necessitating joint control over energy and carbon. Existing research on industrial optimization typically focuses on minimizing total carbon emissions, often overlooking the average carb...

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Bibliographic Details
Published in:	Applied energy Vol. 382; p. 125204
Main Authors:	Li, Haotian, Wang, Jianxue, Lu, Zelong, Zhang, Yao, Hou, Guo, Xue, Lin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.03.2025
Subjects:	aluminum carbon Carbon emission intensity carbon markets Chance-constrained information gap decision theory Day-ahead scheduling economic performance emissions factor energy energy conservation Energy-intensive industries Mixed integer linear fractional programming risk uncertainty Carbon emission intensity Energy-intensive industries Day-ahead scheduling Mixed integer linear fractional programming Chance-constrained information gap decision theory
ISSN:	0306-2619
Online Access:	Get full text
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