A Mechanism Model for Accurately Estimating Carbon Emissions on a Micro Scale of Iron-making System

摘要

The research from the Reclaim Program in Los Angels and Tsinghua University shows the estimation error reaches up to 27%–50% via using the emission coefficient approach offered by IPCC. In principle, this approach only concerns the categories and amount of fuels though ignoring the systemic parameters and many process details. Therefore it is only applicable to the carbon emission estimation on a macro scale of an industry or a zone with a tolerable accuracy while the amount of carbon emissions is large. For more accurate estimation, a mechanism model considering the systemic parameters and the carbon metabolic processes of the iron-making system is established on a micro scale. In order to simplify the mechanism model, the iron-making system is divided into processing sectors and subsequently the carbon metabolic behaviors on systemic boundaries of sectors are parameterized for constructing the multiple agents. All agents are assembled by using the Petri net that indicates the links of sectors and the corresponding operation sequences. The mechanism model based on Hybrid PN–MaS formulates the quantitative relation between the carbon emission and systemic parameters and therefore can be used to accurately estimate the carbon emission from the iron-making system with multiple blast furnaces. Subsequently the systemic parameters including the allocation of materials, fuels, and the processing control parameters are discussed considering the objective of carbon emission reduction for the iron-making system on a micro-scaled level.