An exploration of reliable methods of estimating emergy requirements at the regional scale: Traditional emergy analysis, regional thermodynamic input–output analysis, or the conservation rule-implicit method
Cheol-Joo Cho ()
Ecological Modelling, 2013, vol. 251, issue C, 288-296
In this paper, several alternative methods of computing cumulative emergy requirements at the regional scale are constructed, with their advantages and disadvantages addressed. The traditional emergy synthesis originating from the H.T. Odum's contribution appears suboptimal from the theoretical as well as methodological viewpoints. It fails to account for the intra- and interregional shipments of products, and necessarily underestimates the life-cycle assessment of emergy requirements. On the contrary, the Ghosh thermodynamic input–output frameworks provide a promising method for estimating emergy requirements. Of the two Ghosh modeling schemes, the interregional input–output model offers a superior medium to the single-region model. Furthermore, the Ghoshian regional input–output framework can be extended to incorporate the conservation conditions. It appears that the conservation rule-implicit interregional input–output framework can also be a reliable method for emergy estimation. Overall, the Ghosh interregional input–output framework, regardless of thermodynamic or conservation rule-based, provides a most favorable technique. This conclusion confirms the prevailing criticisms of the traditional emergy synthesis in the related literature.
Keywords: Emergy; Exergy; Solar transformity; Ghosh input–output model; Thermodynamic regional input–output framework; Conservation conditions (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:251:y:2013:i:c:p:288-296
Access Statistics for this article
Ecological Modelling is currently edited by Brian D. Fath
More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Nithya Sathishkumar ().