MSE thesis defence Industrial cluster symbiosis optimization based on linear programming Jafar Jamal, IDSIA Abstract: Industrial Symbiosis is a symbiotic relationship between dissimilar industries that is achieved by the flow of waste and byproducts as an output from one production units to another as resource to be used for production. The described symbiosis has many environmental and economical benefits generated from reducing the cost of the resources used in the production process. The main concern with implementing such a system is the guarantee for an even distribution of the extra profit generated through the trading process among the participating production units. Otherwise, it would be intuitively difficult to convince them to implement the system we suggest. In this work, we model the problem through mathematical programming and we propose a solution based on a series of linear programs that maximizes and balances the profit between the production units. A first model focuses on pure bybroducts trading, a more advanced one also considers the trading process within a dynamic electricity market where electricity costs vary overtime. We show that an industrial cluster can take advantage of a symbiotic system based on the exchange of byproducts between the cluster's production units in order to increase the total profit, whether operating in isolation or within a dynamic electricity market, and that the approach proposed does indeed spread the extra profit guaranteed by the exchange of byproducts evenly among the participating production units. When: 22nd March 2018, 16:30-17:30 Where: Manno, Galleria 1, 2nd floor, room G1-204