A systematic approach to the optimal design of chemical plants with waste reduction and market uncertainty. (12th July 2017)

• Record Type: Journal Article
• Authors: Sepiacci, Piernico; Depetri, Valentina; Manca, Davide
• Is Part Of: Computers & chemical engineering. Volume 102(2017)
• Page Start: 96
• Page End: 109
• Publication Date: 2017-07-12
• Subjects: ADL Autoregressive Distributed Lag -- AP Acidification Potential -- ARMAX AutoRegressive Moving Average with eXogenous inputs -- ARX AutoRegressive model with eXogenous inputs -- ATP Aquatic Toxicity Potential -- CAPE Computer Aided Process Engineering -- CAPEX CAPital EXpenses -- CD Conceptual Design -- CO Crude Oil -- COCO CAPE-OPEN to CAPE-OPEN -- DCD Dynamic Conceptual Design -- DEP Dynamic Economic Potential -- DOE Department Of Energy -- EA Economic Assessment -- EE Electric Energy -- EIA Energy Information Administration -- EM Econometric Model -- EP Economic Potential -- EPA Environmental Protection Agency -- FEHE Feed Effluent Heat Exchanger -- GWP Global Warming Potential -- HDA HydroDeAlkylation -- HTPE Human Toxicity Potential by Exposure -- HTPI Human Toxicity Potential by Ingestion -- ICIS Independent Chemical Information Service -- IEA International Energy Agency -- IRR Internal Rate of Return -- LC50 Lethal Concentration to 50% of organisms -- LCA Life Cycle Assessment -- LD50 Lethal Dose to 50% of organisms -- M&S Marshall and Swift -- MOO Multi-Objective Optimization -- NARMAX Non-linear AutoRegressive Moving Average model with eXogeneous inputs -- NARX Non-linear AutoRegressive model with eXogeneous inputs -- NG Natural Gas -- NPV Net Present Value -- ODP Ozone Depletion Potential -- OPEC Organization of Petroleum Exporting Countries -- OPEX Operative Expenses -- OSHA Occupational Safety and Health Administration -- PCOP PhotoChemical Oxidation Potential -- PDC Predictive Conceptual Design -- p-DIPB para‐diisopropylbenzene -- PEI Potential Environmental Impact -- PEL Permissible Exposure Limit -- p-IPB para‐isopropylbenzene -- PSE Process Systems Engineering -- TTP Terrestrial Toxicity Potential -- WAR WAste Reduction -- WCED World Commission on Environment and Development -- WTI West Texas Intermediate; Economic sustainability -- Environmental sustainability -- Predictive conceptual design -- Process design -- Multi objective optimization -- Pareto curve -- Cumene plant; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2016.11.032
• Languages: English
• ISSNs: 0098-1354

Abstract

Graphical abstract: Highlights: Assessment of economic and environmental sustainability by an innovative method. Rigorous approach to industrial sustainability under markets uncertainty. Dynamic econometric models of commodities and utilities for OPEX terms. Environmental impact of chemical plants with WAR algorithm. Multi objective optimization of a cumene plant along the Pareto line. Abstract: The paper presents a methodology for the quantitative assessment of sustainability applied to the design of chemical plants. Specifically, we focus on the economic and environmental sustainability. 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. PCD accounts for both CAPEX and OPEX terms, which on their turn depend on dynamic econometric models of commodities and utilities. The environmental assessment is based on the waste reduction algorithm and on the evaluation of the potential environmental impact. The benefit of PCD consists in accounting for market uncertainty and prices/costs volatility of OPEX terms. The optimal solutions of the economic and environmental assessment lay on the Pareto line produced by the multi-objective-optimization (MOO) problem. The MOO of a cumene plant allows discussing various optimal solutions in terms of economic and environmental concerns/criteria.