ABSTRACT
This paper reports a greenhouse gas inventory of a synthetic fibre industrial plant from 2008 to 2014. Using long-term inventory data, a mathematical model was designed to forecast tCO2e emission on a monthly basis, which is important for the company’s business with others that set emission targets for suppliers. Based on the inventory results, statistical analyses were carried out to evaluate the effectiveness of greenhouse gas emission reductions resulting from boiler fuel changes. The inventory methodology follows the Clean Development Mechanism. Indirect emission reductions are calculated. These are not considered in the methodology. The viability of the company’s entering the voluntary carbon credit market is calculated on the basis of successful emission reductions.
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Disclosure statement
No potential conflict of interest was reported by the authors.