2013
DOI: 10.4236/lce.2013.44a004
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Carbon Dioxide Emissions from Thermal Power Plants in Cameroon: A Case Study in Dibamba Power Development Company

Abstract: This paper centres on the estimation of carbon dioxide emissions in a Cameroon thermal power plant called Dibamba Power Development Company, in such a way that they can be included as part of Cameroon energy sector inventory or used by the Dibamba Power Development Company to monitor its policy and technology improvements for mitigating climate change. We have estimated the emissions using national emission factors for the consumption of liquid fossil fuels and simulated a mitigation of these emissions till 20… Show more

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Cited by 6 publications
(3 citation statements)
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“…Globally, the carbon emission intensity of these hydropower system sites is only 0.68 g kWh −1 , which is much lower than the carbon emission intensity of coal thermal power plants of 180 g kWh −1 (ref. 35). We estimate that the development of all unused profitable hydropower sites would produce renewable energy with an associated carbon loss equivalent to 3.4 billion metric tonnes of CO 2 emissions per year, or about 8.2% of the current annual anthropogenic CO 2 emissions 36 .…”
Section: Discussionmentioning
confidence: 99%
“…Globally, the carbon emission intensity of these hydropower system sites is only 0.68 g kWh −1 , which is much lower than the carbon emission intensity of coal thermal power plants of 180 g kWh −1 (ref. 35). We estimate that the development of all unused profitable hydropower sites would produce renewable energy with an associated carbon loss equivalent to 3.4 billion metric tonnes of CO 2 emissions per year, or about 8.2% of the current annual anthropogenic CO 2 emissions 36 .…”
Section: Discussionmentioning
confidence: 99%
“…To be able to analyze the emission of power plants, mathematical models have been developed to predict the radiation at different conditions. This study used the emission factor in determining the CO2 emission [19].…”
Section: III Determination Of Fossil Fuel Power Plant Emissionmentioning
confidence: 99%
“…The constant term and the parameter of t that needs to be estimated was derived from regression of various curve models, goodness-of-fit of their corresponding equations being 0.967, 0.968 and 0.959, respectively. In terms of sequence correlation, since the DW values of each curve model are 1.978, 1.957 and 1.981, respectively, autocorrelation of the corresponding sequences was completely eliminated, thereby removing the need to add the AR variable [8].…”
Section: Ekc and Logistic Inflection Point Analysis On Economic Growtmentioning
confidence: 99%