A Multi-Period Water Network Planning for Industrial Parks; Impact of Design Periods on Park's Flexibility

TL;DR

This paper develops an MINLP model for optimizing water and wastewater management in industrial parks, revealing how design periods affect cost, flexibility, and performance in water networks.

Contribution

It introduces a refined superstructure and MINLP model for water network synthesis considering multiple design periods in eco-industrial parks.

Findings

Cost increases with more design periods.

Trade-off observed between flexibility and performance.

Case studies demonstrate model applicability.

Abstract

The central goal of this study is to advance the state-of-the-art in the field of water network management for industrial ecologies. Considering the global water shortage and environmental regulations, the reduction of water consumption has become a necessity within the industrial sector. To find the optimal water management strategies in an eco-industrial park (EIP), a refined superstructure is proposed. An MINLP mathematical model is then developed, based on the superstructure, to synthesize water and wastewater streams within the network, including nearby companies. Surveying two case studies, each studied in two different scenarios, showed that the cost objective functions deteriorates with increase in number of design periods. Results also provide some evidence of a trade-off between water network flexibility and performance, and vice versa.