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Please cite this article as: Piernico Sepiacci, Valentina Depetri, Davide Manca, A SYSTEMATIC APPROACH TO THE OPTIMAL DESIGN OF CHEMICAL PLANTS WITH WASTE REDUCTION AND MARKET UNCERTAINTY, Computers & Chemical Engineering, (2016).
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The interested readers can download the original copy of the paper at Elsevier ScienceDirect website. Interested readers can download a copy of the paper.
Assessment of economic and environmental sustainability by an innovative method.The MOO of a cumene plant allows discussing various optimal solutions in terms of economic and environmental concerns/criteria. The optimal solutions of the economic and environmental assessment lay on the Pareto line produced by the multi-objective-optimization (MOO) problem. The benefit of PCD consists in accounting for market uncertainty and prices/costs volatility of OPEX terms. The environmental assessment is based on the waste reduction algorithm and on the evaluation of the potential environmental impact. PCD accounts for both CAPEX and OPEX terms, which on their turn depend on dynamic econometric models of commodities and utilities. The methodology implemented for the economic assessment is the predictive conceptual design (PCD) that uses as indicator the cumulated dynamic economic potential over a long-term horizon. Specifically, we focus on the economic and environmental sustainability. The paper presents a methodology for the quantitative assessment of sustainability applied to the design of chemical plants. PSE-Lab has just published a new paper on “Computers and Chemical Engineering” titled: A systematic approach to the optimal design of chemical plants with waste reduction and market uncertainty Piernico Sepiacci, Valentina Depetri, Davide Manca
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