DocumentCode :
2089124
Title :
ICT Solutions Calculation Model for CO2 Emission Reduction and Prediction on Its Emission Reduction Potential
Author :
Peng, Ruohong ; Wang, Xi
Author_Institution :
Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2009
fDate :
20-22 Sept. 2009
Firstpage :
1
Lastpage :
5
Abstract :
This paper aims at establishing an ICT solutions calculation model for CO2 emissions, and predicting the emission reduction potential based on the model. With the rapid development of information communication technology throughout the world, application of ICT solutions in traditional industries and social life has been widely spread, resulting in changes in production and consumption pattern. Adopting smart ICT solutions would maximize energy efficiency and reduce carbon dioxide emissions. In this paper, first, there is an analysis of energy consumption and emission reduction feature of ICT solutions, and make a classification of different ICT solutions based on the analysis; second, we establish an ICT solutions calculation model for CO2 emission reduction according to ICT\´ s emission reduction mode and carbon footprint, and make a measurement with a case; in the last part, we make a deduction of individual ICT solution, unifying CO2 emission reduction of different ICT solutions by introducing "Emission Reduction Index", and form the conceptual model for the emission reduction of the entire ICT industry, in order to support the prediction of ICT industry\´s potential in emission reduction.
Keywords :
air pollution control; environmental science computing; ICT solution calculation model; carbon dioxide emission reduction potential; emission reduction index; energy consumption; information communication technology; Carbon dioxide; Communication industry; Communications technology; Economic forecasting; Energy consumption; Energy efficiency; GSM; Power generation economics; Predictive models; Production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
Type :
conf
DOI :
10.1109/ICMSS.2009.5301630
Filename :
5301630
Link To Document :
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