Optimization of multi-product batch plant design under uncertainty with environmental considerations |
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Authors: | Zheng Wang Xiao-Ping Jia Lei Shi |
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Affiliation: | (1) School of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China;(2) Center for Chemical Process Engineering, Qingdao University of Science and Technology, Qingdao, 266042, China;(3) Department of Environmental Science and Engineering, Tsinghua University, Beijing, 100084, China |
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Abstract: | This paper presents a framework for the design and optimization of multi-product batch processes under uncertainty with environmental
considerations. The uncertainties and environmental impacts are discussed. The profit and environmental impacts are considered
as bi-objectives for batch plant design. The problem, thus, is formulated as a multi-objective stochastic programming problem.
It can be converted into a single-objective two-stage stochastic linear programming problem using the weighted aggregation
method. To solve the two-stage stochastic programming, we introduce both Monte Carlo sampling for the entire domain of the
distribution function and the feasibility cut method based on dual theory in Benders’ decomposition. The detailed algorithm
for problem-solving is presented. A numerical example is presented to illustrate the proposed framework. |
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