Abstract
Abstract An ecoindustrial park (EIP) is a state-of-the-art concept in which a group of industries located in proximity share their products, byproducts, and waste in a symbiotic manner to conserve natural resources and enhance sustainability. To design a hydrocarbon-processing EIP, a carbon-hydrogen-oxygen symbiosis network (CHOSyN) that involves the use of multiscale atomic-based targeting, tracking, combination, separation, and allocation can be used. A major challenge in the multicompany implementation of an EIP is the uncertainty associated with the exchanged streams. The flow rate and characteristics of the streams are subject to fluctuations because of the variability in the performance of the participating plants. Concerns for reliable quantity and quality of streams exchanged among the different plants can largely impact the decision of a company to be integrated in an EIP. This article addresses the challenge of the fluctuating performances of participating plants by addressing the uncertainty of the exchanged streams in a CHOSyN. A stochastic approach is used for stream characterization and reliability assessment of an EIP. Performance functions are generated using response surface methodology. Next, a reliability analysis is performed with limit state function, or gradient-based methods, like the first-order reliability method, is used for analysis under relevant constraints. With the performance indexes, the variables are iteratively adjusted to achieve design and performance targets that meet sustainability criteria (e.g., economic, environmental). To illustrate the applicability of the proposed approach, a five-plant CHOSyN case study is solved.
Published Version
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