Optimising Segregated Resource Conservation Network with Cross-Zonal Transfer for Multiple Resources and Qualities
Jain, Sheetal
Chin, Hon Huin
Bandyopadhyay, Santanu
Klemeš, Jirí Jaromír

How to Cite

Jain S., Chin H.H., Bandyopadhyay S., Klemeš J.J., 2021, Optimising Segregated Resource Conservation Network with Cross-Zonal Transfer for Multiple Resources and Qualities, Chemical Engineering Transactions, 88, 103-108.


Manufacturing industries are continually looking for resource conservation to achieve market competitiveness along with minimum waste discharge for environmental and societal responsibilities. Cooperation between industries to achieve resource sharing through reusing and recycling strategies play a vital role in optimising overall resource consumption, striving towards optimal industrial or urban symbiosis. This paper aims to apply the optimisation framework in a constrained source-sink network considering multiple zones. A special type of constrained resource conservation network, known as segregated targeting problem with dedicated sources and external resources, is considered. The problem contains a set of zones with their own sources and demands and a dedicated resource specified for individual zones. A set of internal sources, freely available for reuse, and external resources are shared among all the zones. In this work, multiple quality constraints that are restricting the allocation of the resources are considered. Unutilised dedicated sources from one zone are reused in other zones through different piping connections with a certain cost associated with it to maximise the utilisation of available sources. The objectives are to minimise the overall resource intake and the total cost for the whole network. This framework enables the selection of optimum zonal integration that yields the optimal cost or maximum resources recycling rate. The distinctive nature of zonal segregation, considering source sharing and multiple qualities, widens the scope of applicability of this approach. The method can be applied to various problem domains, such as regional material recovery networks, sector-wise energy planning, and financial planning.