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
Link To Document :
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