Analysis of CO2 emissions reduction potential in secondary production and semi-fabrication of non-ferrous metals

Industrial sector growth in developing countries requires the provision of alternatives to guarantee sustainable development. Improving energy efficiency and fuel switching are two measures to reduce CO2 emissions in the industrial sector, with natural gas and low-carbon electricity as the most feasible options in the short term. In this work, a linear programming optimization model has been developed to study the potential of energy efficiency improvement and fuel substitution for CO2 emissions reduction, at national level in the non-ferrous metals industry. The energy resource/end-use device allocation problem in secondary metal production and semi-fabrication has been modeled. Using this model, the particular case of Colombia, where low-carbon electricity is available, has been studied. By improving energy efficiency, energy use and CO2 emissions can be reduced significantly, 73% and 72%, respectively, at negative costs. Further CO2 emissions reductions, up to 88%, are possible with fuel switching to low-carbon electricity, increasing the costs for the energy system; however, cost reductions caused by energy efficiency improvement outweigh cost increments of fuel switching. Benefits achieved with fuel substitution using low-carbon electricity can be lost if hydropower is not available; in such a case, efficient natural gas-fired end-use devices are preferable.

[1]  Wolfgang Eichhammer Industrial Energy Efficiency , 2004 .

[2]  Harry L. Brown,et al.  Energy analysis of 108 industrial processes , 1985 .

[3]  J. M. Flanagan Learning from experiences with process heating in the metals industry , 1993 .

[4]  Toshihiko Nakata,et al.  Energy-economic models and the environment , 2004 .

[5]  Joachim Schleich,et al.  Barriers to energy efficiency: A comparison across the German commercial and services sector , 2009 .

[6]  Dolf Gielen,et al.  Modelling industrial energy use: The IEAs Energy Technology Perspectives , 2007 .

[7]  Amory B. Lovins,et al.  Energy Efficiency, Taxonomic Overview , 2004 .

[8]  Ernst Worrell,et al.  World Best Practice Energy Intensity Values for SelectedIndustrial Sectors , 2007 .

[9]  Ernst Worrell,et al.  Energy efficiency and carbon dioxide emissions reduction opportunities in the US iron and steel sector , 2001 .

[10]  Stephane de la Rue du Can,et al.  Assessment of bottom-up sectoral and regional mitigation potentials , 2010 .

[11]  Mikiko Kainuma,et al.  A projection for global CO2 emissions from the industrial sector through 2030 based on activity level and technology changes , 2011 .

[12]  Aie,et al.  Tracking Industrial Energy Efficiency and CO2 Emissions , 2007 .

[13]  Keigo Akimoto,et al.  Evaluation of energy saving and CO2 emission reduction technologies in energy supply and end‐use sectors using a global energy model , 2007 .

[14]  Joachim Schleich,et al.  The Economics Of Energy Efficiency: Barriers to Cost-Effective Investment , 2004 .

[15]  Roberto Schaeffer,et al.  Potential for reduction of CO2 emissions and a low-carbon scenario for the Brazilian industrial sector , 2010 .

[16]  Yuichi Moriguchi,et al.  Modelling CO2policies for the Japanese iron and steel industry , 2002, Environ. Model. Softw..

[17]  Mats Söderström,et al.  Options for the Swedish steel industry Energy efficiency measures and fuel conversion , 2011 .

[18]  D. J. Gielen,et al.  THE BASIC METAL INDUSTRY AND ITS ENERGY USE Prospects for the Dutch energy intensive industry , 1997 .

[19]  Allison Butts Copper: Science and Technology of the Metal, Its Alloys and Compounds , 1970 .

[20]  E. Worrell,et al.  Barriers to energy efficiency in industrial bottom-up energy demand models—A review , 2011 .