Emergy analysis using US economic input-output models with applications to life cycles of gasoline and corn ethanol
被引:63
作者:
Baral, Anil
论文数: 0引用数: 0
h-index: 0
机构:
Int Council Clean Transportat, Washington, DC 20005 USAOhio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USA
Baral, Anil
[2
]
Bakshi, Bhavik R.
论文数: 0引用数: 0
h-index: 0
机构:
Ohio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USAOhio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USA
Bakshi, Bhavik R.
[1
]
机构:
[1] Ohio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USA
[2] Int Council Clean Transportat, Washington, DC 20005 USA
Emergy;
Economic input-output modeling;
Corn ethanol;
Gasoline;
Return on investment;
Life cycle assessment;
EMBODIED ENERGY;
INDUSTRIAL;
AGGREGATION;
EFFICIENCY;
SYSTEM;
D O I:
10.1016/j.ecolmodel.2010.04.010
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
A commonly encountered challenge in emergy analysis is the lack of transformity data for many economic products and services. To overcome this challenge, emergy analysts approximate the emergy input from the economy via a single emergy/money ratio for the country and the monetary price of economic inputs. This amounts to assuming homogeneity in the entire economy, and can introduce serious uncertainties in the results. This paper proposes and demonstrates the use of a thermodynamically augmented economic input-output model of the US economy for obtaining sector-specific emergy to money ratios that can be used instead of a single ratio. These ratios at the economy scale are more accurate than a single economy-wide emergy/money ratio, and can be obtained quickly for hundreds of economic products and services. Comparing sector-specific emergy/money ratios with those from conventional emergy studies indicates that the input-output model can provide reasonable estimates of transformities at least as a stop-gap measure until more detailed analysis is completed. A hybrid approach to emergy analysis is introduced and compared with conventional emergy analysis using life cycles of corn ethanol and gasoline as examples. Emergy and transformity data from the hybrid approach are similar to those from conventional emergy analysis, indicating the usefulness of the proposed approach. In addition, this work proposes the metric of return on emergy investment for assessing product alternatives with the same utility such as transportation fuels. The proposed approach and data may be used easily via web-based software. (C) 2010 Elsevier B.V. All rights reserved.
机构:
Ohio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USAOhio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USA
Baral, Anil
Bakshi, Bhavik R.
论文数: 0引用数: 0
h-index: 0
机构:
Ohio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USAOhio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USA
机构:
Ohio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USAOhio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USA
Baral, Anil
Bakshi, Bhavik R.
论文数: 0引用数: 0
h-index: 0
机构:
Ohio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USAOhio State Univ, William G Lowrie Dept Chem & Biomol Engn, Columbus, OH 43210 USA