| Autor: |
Antonio Espuña, Fernando D. Mele, Moisès Graells, Shabnam Morakabatchiankar |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
31st European Symposium on Computer Aided Process Engineering ISBN: 9780323885065 |
| DOI: |
10.1016/b978-0-323-88506-5.50284-9 |
| Popis: |
The main goals of retrofitting strategies are focused on addressing fundamental improvements in energy, environmental, and cost performance. This paper presents a novel formulation model aimed at determining optimal configurations for integrating a multi-energy type system to the process industries. The design and operation tasks are posed in mathematical terms as a bi-criteria mixed-integer linear programming problem (bi-MILP) that seeks to maximize the net present value (NPV) of the process supply chain while minimizing its environmental impact. Hence, the major contribution is the adoption of a mathematical approach to capture the cause-effect relationship between material/energy consumption/demand and the associated environmental impacts. The model capability is validated through a case study based on the Argentinean sugar cane industry and the benefits of integration are demonstrated. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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