Integrating energy data into IT systems Tools
The over-consumption of natural resources in the iron and steel industry often results in a severe environmental contamination. The systemic conservation for mass and energy running in the industrial system, instead of the end-of-pipe treatment for local processes or devices, is vital for the reduction of resource consumptions and environmental emissions. Many systemic approaches have been applied to analyze the energy and mass activities in the iron and steel industry (Katarina Lundkvist et al., 2013). The Input–Output Process Model (IOPM) and the inventory analysis is often used to analyze the life MLN4924 of a product especially on environmental impacts and energy flow analysis. A cokemaking process-flow model based on an improved IOPM was built by Polenske et al. to study resource efficiency and emission impacts of the cokemaking sector. The investigation analysed mass and energy flow and pollution generation through a micro-level examination of three alternative cokemaking technologies in China (Karen R. Polenske and Michael, 2002). Dong evaluated and compared the amount, scale, the related environmental and economic benefits of the industrial symbiosis activities in the steelmaking industrial areas in China and Japan. A quantified Life Cycle Assessment (LCA) method by segmenting the systemic boundaries of the symbiotic industry was applied (Liang Dong et al., 2013). Burchart-Korol defined the major sources of environmental impacts and performed a LCA for steel productions, relevant fuel consumptions and the Green House Gas (GHG) emissions in Poland (Dorota Burchart-Korol, 2013). Yellishetty et al. examined a case of the steel industry using LCA and provided useful insights on potential future threat of shortages due to depletion of abiotic mineral resources (Mohan Yellishetty et al., 2011). It is quite clear that LCA and the inventory analysis with a quantified approach are generally applied to gain an in-depth understanding on the environmental impacts of industrial systems.