Emergy-based comparative analysis of energy intensity in different industrial systems

With the rapid economic development, energy consumption of China has been the second place in the world next to the USA. Usually, measuring energy consumption intensity or efficiency applies heat unit which is joule per gross domestic production (GDP) or coal equivalent per GDP. However, this measuring approach is only oriented by the conversion coefficient of heat combustion which does not match the real value of the materials during their formation in the ecological system. This study applied emergy analysis to evaluate the energy consumption intensity to fill this gap. Emergy analysis is considered as a bridge between ecological system and economic system, which can evaluate the contribution of ecological products and services as well as the load placed on environmental systems. In this study, emergy indicator for performing energy consumption intensity of primary energy was proposed. Industrial production is assumed as the main contributor of energy consumption compared to primary and tertiary industries. Therefore, this study validated this method by investigating the two industrial case studies which were Dalian Economic Development Area (DEDA) and Fuzhou economic and technological area (FETA), to comparatively study on their energy consumption intensity between the different kinds of industrial systems and investigate the reasons behind the differences. The results show that primary energy consumption (PEC) of DEDA was much higher than that of FETA during 2006 to 2010 and its primary energy consumption ratio (PECR) to total emergy involvement had a dramatically decline from year 2006 to 2010. In the same time, nonrenewable energy of PEC in DEDA was also much higher than that in FETA. The reason was that industrial structure of DEDA was mainly formed by heavy industries like petro-chemistry industry, manufacturing industries, and high energy-intensive industries. However, FETA was formed by electronic business, food industry, and light industries. Although the GDP of DEDA was much higher than that of FETA, its energy intensity was higher as well. Through the 5-year development, energy consumption intensity in DEDA made a significant reduction from 3.90E+16 seJ/$ to 1.84E+16 seJ/$, which was attributed by the improvement of industrial structure, construction of eco-industrial park and circular economic industrial park. The proposed emergy indicator for demonstrating energy consumption intensity overcame the weakness that the indicator was only transformed from the heat burning. Therefore, this study shows an optional way to measure energy consumption intensity from the perspective of material ecological contribution.

[1]  P. Nilsson Environmental Accounting—EMERGY and Environmental Decision Making , 1997, Forest Science.

[2]  Qinghua Zhu,et al.  Implementing China's circular economy concept at the regional level: a review of progress in Dalian, China. , 2009, Waste management.

[3]  Yong Geng,et al.  Co-benefit evaluation for urban public transportation sector – a case of Shenyang, China , 2013 .

[4]  A. Buenfil,et al.  EMERGY EVALUATION OF WATER , 2001 .

[5]  Sergio Ulgiati,et al.  Emergy evaluations and environmental loading of electricity production systems , 2002 .

[6]  D. Tilley,et al.  Emergy Basis of Forest Systems , 1999 .

[7]  Mark T. Brown,et al.  Emergy-based indices and ratios to evaluate sustainability: monitoring economies and technology toward environmentally sound innovation , 1997 .

[8]  W. Ingwersen,et al.  Emergy as a Life Cycle Impact Assessment Indicator , 2011 .

[9]  Mark T. Brown,et al.  The Center for Environmental Policy , 2003 .

[10]  P. Crompton,et al.  Energy consumption in China: past trends and future directions , 2004 .

[11]  Shi-huai Deng,et al.  The Relationship Between Industry Structure, Household-number and Energy Consumption in China , 2014 .

[12]  S. Ulgiati,et al.  Identifying the environmental support and constraints to the Chinese economic growth—An application of the Emergy Accounting method , 2013 .

[13]  Simone Bastianoni,et al.  Emergy analysis of building manufacturing, maintenance and use: Em-building indices to evaluate housing sustainability , 2007 .

[14]  Lei Zhang,et al.  Measuring the sustainability of policy scenarios: Emergy-based strategic environmental assessment of the Chinese paper industry , 2010 .

[15]  Yong Geng,et al.  Insights into the Regional Greenhouse Gas (GHG) Emission of Industrial Processes: A Case Study of Shenyang, China , 2014 .

[16]  Y. Geng,et al.  Assessment of the National Eco‐Industrial Park Standard for Promoting Industrial Symbiosis in China , 2009 .

[17]  J. Hermansen,et al.  Ecological Animal Husbandry in the Nordic Countries. Proceedings from NJF-seminar No. 303. Horsens, Denmark 16-17 September 1999 , 2000 .

[18]  Cutler J. Cleveland,et al.  Encyclopedia of Energy , 2004 .

[19]  Xiaojing Sun,et al.  An Explosive Growth of Wind Power in China , 2014 .

[20]  Dong Liang,et al.  An emergy-based hybrid method for assessing industrial symbiosis of an industrial park , 2016 .

[21]  Joseph Sarkis,et al.  Measuring China's Circular Economy , 2013, Science.

[22]  Yong Geng,et al.  Carbon footprint evaluation at industrial park level: A hybrid life cycle assessment approach , 2013 .

[23]  Yong Geng,et al.  Emergy-based comparative analysis on industrial clusters: economic and technological development zone of Shenyang area, China , 2014, Environmental Science and Pollution Research.

[24]  Wang Zhen Eco-industrial Parks in China(2000—2010) , 2010 .

[25]  Sergio Ulgiati,et al.  Assessing geobiosphere work of generating global reserves of coal, crude oil, and natural gas , 2011 .

[26]  Simone Bastianoni,et al.  EMERGY ANALYSIS OF ITALIAN AGRICULTURAL SYSTEM. THE ROLE OF ENERGY QUALITY AND ENVIRONMENTAL INPUTS , 1993 .

[27]  Peter R. Odell Why carbon fuels will dominate the 21st century's global energy economy , 2004 .

[28]  Sergio Ulgiati,et al.  Emergy Analysis and Environmental Accounting , 2004 .

[29]  Joseph Sarkis,et al.  Emergy analysis of an industrial park: the case of Dalian, China. , 2010, The Science of the total environment.

[30]  Howard T. Odum,et al.  Emergy and exergy stored in genetic information , 2004 .

[31]  Hongguang Jin,et al.  The energy situation and its sustainable development strategy in China , 2011 .

[32]  LiuZhe,et al.  Emergy-ecological footprint hybrid method analysis of industrial parks using a geographical and regional perspective. , 2015 .

[33]  S. Ulgiati,et al.  Emergy-based indices and ratios to evaluate the sustainable use of resources , 1995 .