Decarbonization strategies by industrial ecology
Eco-Industrial Parks (EIPs) are a way to enhance decarbonization of industrial activities by fostering collaboration among companies within an industrial park. Following this reorganization, a network can emerge in which companies exchange energy and raw materials. This work deals with the hypotheti...
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Published in | Computer Aided Chemical Engineering Vol. 53; pp. 3445 - 3450 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
2024
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Subjects | |
Online Access | Get full text |
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Summary: | Eco-Industrial Parks (EIPs) are a way to enhance decarbonization of industrial activities by fostering collaboration among companies within an industrial park. Following this reorganization, a network can emerge in which companies exchange energy and raw materials. This work deals with the hypothetical implementation of a steam network among companies in an existing EIP. The objective is to demonstrate the benefits of multi-objective optimization in defining the most suitable network using a mixed-integer linear programming approach. Two criteria are considered to determine the optimal organization: cost and greenhouse gas emissions (GHG). This approach is implemented through a mathematical model that considers various utilities, production capacities, and industry demands seasonally. Subsequently, an epsilon constraint strategy is employed to select the best solution. The addition of a hybrid energy system and a CO2 capture unit to the model allows for assessing potential benefits. The result of this work shows a waste-free organization and reduced GHG emissions by approximately 2000 metric tons of carbon dioxide equivalents per year. The addition of a hybrid energy system and CO2 capture unit enables an additional reduction of 7000 tons of GHG emissions with a relatively modest increase in cost. This work could potentially be applied to another industrial park scenario in the future. |
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ISBN: | 9780443288241 0443288240 |
ISSN: | 1570-7946 |
DOI: | 10.1016/B978-0-443-28824-1.50575-5 |