DocumentCode
382973
Title
Quantifying the measurement & estimation uncertainties associated with GHG mitigation accounting
Author
D´Aquanni, R.
Author_Institution
SMIEE, Appl. Resources Group Inc., USA
Volume
1
fYear
2002
fDate
25-25 July 2002
Firstpage
121
Abstract
The presentation: (1) presents and discusses scenarios that result in levels of uncertainties in measuring CO2 Emission Reduction Credits; (2) presents a Monte Carlo simulation to illustrate how the reduction in the uncertainties associated with each scenario will impact the uncertainty of the sum of the CO2 emission reduction credits; and (3) concludes with the need to attack the more sensitive measurement areas so as to improve the accuracy of the overall estimates based on the most recent information available on government, utility and private sector programs and initiatives.
Keywords
Monte Carlo methods; air pollution control; carbon compounds; legislation; power generation economics; CO2; CO2 emission reduction credits; Monte Carlo simulation; greenhouse gas mitigation accounting; measurement areas; power generation; Area measurement; Distributed power generation; Energy management; Government; Measurement uncertainty; Mesh generation; Power generation; Power measurement; Renewable energy resources; Spinning;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society Summer Meeting, 2002 IEEE
Conference_Location
Chicago, IL, USA
Print_ISBN
0-7803-7518-1
Type
conf
DOI
10.1109/PESS.2002.1043190
Filename
1043190
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