A Mathematical Programming Approach to Pollution Trading
| Autor: | Urmila M. Diwekar, Vicente Rico-Ramirez, P.A. Quintana-Hernández, Guillermo González-Alatorre, Francisco Lopez-Villarreal |
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| Rok vydání: | 2011 |
| Předmět: | |
| Zdroj: | Industrial & Engineering Chemistry Research. 51:5922-5931 |
| ISSN: | 1520-5045 0888-5885 |
| Popis: | Pollutant trading adds flexibility to the pollution abatement decision making and introduces a new alternative to policy makers and industries. The overall goal is to meet environmental conditions equal or better than those obtained through the implementation of pollutant treatment technologies, but at a lower cost This work proposes optimization models that can guide industries in taking optimal decisions under the flexibility provided by the trading. The mathematical models, formulated as mixed-integer programming problems, are limited to watershed trading and have been implemented and solved through the GAMS modeling environment. Results include optimal decisions for each pollutant source in order to satisfy global environmental regulations. That is, either implementing one of the available pollution abatement technologies or attaining credits through trading. To assess the performance of the optimization models, we consider a mercury trading case study. A comparison among the nontrading solution and the solutions of the various pollution trading models is presented and analyzed. As the environmental constraints become more stringent, the value of the objective function (cost oftechnology implementation and fines) increases and the configuration of the required technologies changes to avoid high concentrations of pollutants presented in the various discharge points of the watershed. |
| Databáze: | OpenAIRE |
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