期刊文献+

Embodied energy consumption and carbon emissions evaluation for urban industrial structure optimization 被引量:11

Embodied energy consumption and carbon emissions evaluation for urban industrial structure optimization
原文传递
导出
摘要 Cities are the main material processors asso- ciated with industrialization. The development of urban production based on fossil fuels is the major contributor to the rise of greenhouse gas density, and to global warming. The concept of urban industrial structure optimization is considered to be a solution to urban sustainable develop- ment and global climate issues. Enforcing energy con- servation and reducing carbon emissions are playing key roles in addressing these issues. As such, quantitative accounting and the evaluation of energy consumption and corresponding carbon emissions, which are by-products of urban production, are critical, in order to discover potential opportunities to save energy and to reduce emissions. Conventional evaluation indicators, such as "energy consumption per unit output value" and "emissions per unit output value", are concerned with immediate consumptions and emissions; while the indirect consump- tions and emissions that occur throughout the supply chain are ignored. This does not support the optimization of the overall urban industrial system. To present a systematic evaluation framework for cities, this study constructs new evaluation indicators, based on the concepts of "embodied energy" and "embodied carbon emissions", which take both the immediate and indirect effects of energy consumption and emissions into account. Taking Beijing as a case, conventional evaluation indicators are compared with the newly constructed ones. Results show that the energy consumption and emissions of urban industries are represented better by the new indicators than by conventional indicators, and provide useful information for urban industrial structure optimization. Cities are the main material processors asso- ciated with industrialization. The development of urban production based on fossil fuels is the major contributor to the rise of greenhouse gas density, and to global warming. The concept of urban industrial structure optimization is considered to be a solution to urban sustainable develop- ment and global climate issues. Enforcing energy con- servation and reducing carbon emissions are playing key roles in addressing these issues. As such, quantitative accounting and the evaluation of energy consumption and corresponding carbon emissions, which are by-products of urban production, are critical, in order to discover potential opportunities to save energy and to reduce emissions. Conventional evaluation indicators, such as "energy consumption per unit output value" and "emissions per unit output value", are concerned with immediate consumptions and emissions; while the indirect consump- tions and emissions that occur throughout the supply chain are ignored. This does not support the optimization of the overall urban industrial system. To present a systematic evaluation framework for cities, this study constructs new evaluation indicators, based on the concepts of "embodied energy" and "embodied carbon emissions", which take both the immediate and indirect effects of energy consumption and emissions into account. Taking Beijing as a case, conventional evaluation indicators are compared with the newly constructed ones. Results show that the energy consumption and emissions of urban industries are represented better by the new indicators than by conventional indicators, and provide useful information for urban industrial structure optimization.
出处 《Frontiers of Earth Science》 SCIE CAS CSCD 2014年第1期32-43,共12页 地球科学前沿(英文版)
关键词 embodied carbon emissions embodied energy industrial structure optimization urban economy embodied carbon emissions, embodied energy, industrial structure optimization, urban economy
  • 相关文献

参考文献34

  • 1Ahmad N, WyckoffA W (2003). Carbon Dioxide Emissions Embodied in International Trade of Goods. Organization for Economic Co- operation and Development (OECD), Paris, France.
  • 2Cao S, Wang X, Wang G (2009). Lessons leamed from China's fall into the poverty trap. J Policy Model, 31(2): 298-307.
  • 3CEPY (2006). China Electricity Power Yearbook 2006. Beijing: China Electricity Power Press (in Chinese).
  • 4Cben G Q, Chen Z M (2010). Carbon emissions and resources use by Chinese economy 2007: a 135-sector inventory and input-output embodiment. Commun Nonlinear Sci Numer Simul, 15(11): 3647 - 3732.
  • 5Chen H, Chen G Q, Ji X (2010a). Cosmic emergy based ecological systems modelling. Commun Nonlinear Sci Numer Simul, 15(9): 2672-2700.
  • 6Chen L, Cao S (2013). Lack of integrated solutions hinders environ- / mental recovery in China. Ecol Eng, 54:233- 235.
  • 7Chen Z M (2014). Inflationary effect of coal price change on the Chinese economy. Appl Energy, 114:301-309 http://dx.doi.org/10.1016/j. apenergy.2013.09.068.
  • 8Chen Z M, Chen G Q (201 l a). An overview of energy consumption of the globalized world economy. Energy Policy, 39(10): 5920-5928.
  • 9Chen Z M, Chen G Q (201 lb). Embodied carbon dioxide emission at supra-national scale: a coalition analysis for G7, BRIC, and the rest of the world. Energy Policy, 39(5): 2899-2909.
  • 10Chen Z M, Chen G Q (2013). Demand-driven energy requirement of world economy 2007: a multi-region input-output network simula- tion. Commun Nonlinear Sci Numer Simul, 18(7): 1757-1774.

同被引文献181

引证文献11

二级引证文献96

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部