%0 Journal Article
%K Energy consumption
%K CO2 emission
%K Bottom-up optimization modeling
%K Industry Sector Energy Efficiency Modeling (ISEEM)
%K Trading
%A Nihan Karali
%A Tengfang T Xu
%A Jayant A Sathaye
%B Applied Energy
%D 2014
%I ElSevier
%P 133-146
%R 10.1016/j.apenergy.2014.01.055
%T Reducing energy consumption and CO<sub>2</sub> emissions by energy efficiency measures and international trading: A bottom-up modeling for the U.S. iron and steel sector
%V 120
%8 05/2014
%X <p>Using the ISEEM modeling framework, we analyzed the roles of energy efficiency measures, steel commodity and international carbon trading in achieving specific CO<sub>2</sub> emission reduction targets in the U.S iron and steel sector from 2010 to 2050. We modeled how steel demand is balanced under three alternative emission reduction scenarios designed to include national energy efficiency measures, commodity trading, and international carbon trading as key instruments to meet a particular emission restriction target in the U.S. iron and steel sector; and how production, process structure, energy supply, and system costs change with those scenarios. The results advance our understanding of long-term impacts of different energy policy options designed to reduce energy consumption and CO<sub>2</sub> emissions for U.S. iron and steel sector, and generate insight of policy implications for the sector’s environmentally and economically sustainable development. The alternative scenarios associated with 20% emission-reduction target are projected to result in approximately 11-19% annual energy reduction in the medium term (i.e., 2030) and 9-20% annual energy reduction in the long term (i.e., 2050) compared to the Base scenario.</p>