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A model for reduction of transport-related CO2 emissions by optimizing industrial waste treatment facility location
One of the objectives of industrial waste management is to reduce the amount of waste and to ensure its reuse in a way that allows notable improvement of resource efficiency. Location of a waste treatment plant is a strategic issue that require careful logistics system planning. The aim of this arti...
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Published in: | Thermal science 2019-01, Vol.23 (3 Part B), p.1957-1967 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | One of the objectives of industrial waste management is to reduce the amount of waste and to ensure its reuse in a way that allows notable improvement of resource efficiency. Location of a waste treatment plant is a strategic issue that require careful logistics system planning. The aim of this article is to create a model for solving the locationallocation problem of waste (i..e. secondary raw materials) treatment facilities, taking into account the territorial distribution, the type, and the quantity of secondary raw materials, the distance between waste-generating industries, as well as the CO 2 emissions from transport of secondary raw materials. The basic principle for defining a mathematical model is minimization of CO emissions from transport-related activities; 2 for this reason, modeling is based on the p median model that has been modified and put within the context of industrial waste management, including CO emissions from 2 transport. The location model is based on common industrial waste streams and CO 2 emissions from vehicles commonly used to transport secondary raw materials from generators to facilities. The verification of the model was performed through a case study that included the region of southeast Serbia. It confirmed usefullness of the proposed model for deciding on optimal locations for new industrial waste treatment plants.
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ISSN: | 0354-9836 2334-7163 |
DOI: | 10.2298/TSCI180206309L |