Hybrid input–output table method for socioeconomic and environmental assessment of a wind power generation system

Shin Nagashima, Yohji Uchiyama and Keiichi Okajima

Applied Energy, 2017, vol. 185, issue P2, 1067-1075

Abstract: Input–output (I–O) analysis, an economic approach using an industrial commodity table, can be applied to analyze the inventories of energy and environmental burdens associated with a given product. The study thus uses I–O analysis to examine the effect of a wind power generation system on the environment, the energy sector, and the economy. New I–O table sections are developed based on actual data on wind turbine production processes. They cover wind power generation-related technology sectors such as manufacturing for system parts and construction. Both energy savings and CO2 emissions reductions are estimated under constant electricity demand, including the demand for wind power, by adding these seven sectors to a Japanese I–O table for 2005. The study also examines the resulting production and added value for all sectors related to wind power generation via lifecycle I–O analysis. The positive production and added value effects outweigh the negative effects of partially substituting electricity from wind power for conventionally generated electricity.

Keywords: Wind power generation system; Life cycle assessment; Input–output table; Economic impact; Energy consumption; CO2 emissions (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261916000374
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:185:y:2017:i:p2:p:1067-1075

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2016.01.018

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().