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 2018 using alternative fossil fuels and carbon neutral model. The results show that energy demand and carbon dioxide emissions in 2012 are estimated to be 48.964 ktoe and 164.39 kt CO 2 respectively. National emission factors for electricity generation are estimated to be 660.63 g/kWh. From 2012 to 2018, the thermal power plant will emit into the atmosphere 1298.42 kt CO 2 . These results also show that the use of alternative fuels will reduce 59.22 kt CO 2 per year for the same period while the use of the carbon neutral model will reduce a total amount of 8.08 kt CO 2 . Finally, the total quantity of CO 2 emission reduced for the period 2012 to 2018 will be 489.91 kt CO 2 .
This paper analyzes the environmental and economic impact of switching fuel in industrial boilers and furnaces. This analysis, performed over 5 years, reveals that the total emissions thus avoided are 85,069 tons of CO2, 17,240 kg of CH4, 4,310 tons of N2O, and 6,630 tons of SOx. The total equivalent CO2 emissions avoided is around 87,802 tons over the decade 2012–2021. Switching results in a significant reduction in greenhouse gases: 17.8% of CO2 emissions, 66.7% of CH4 emissions, and 83.3% of N2O emissions. Analysis conducted at the boiler level shows that CO2 and CO emissions would decrease, respectively, by 2.5% points and 1.05 ppm points when natural gas is used. The same observation is made for SOx and NOx emissions, for which decreases of 188.3 and 236.7 ppm points are recorded. Additionally, the substitution of heavy fuel oil for natural gas enables an increase in thermal efficiency by 3.3% points.
Photovoltaic cells are generally manufactured under standard test conditions. The operating conditions, very often induce performance losses different from those initially given by the manufacturer. This article presents an experimental acquisition and analysis system that integrates the synthetic efficiency ratio (SER) as a hybrid analysis tool to evaluate the performance of a monocrystalline photovoltaic solar panel, in this case the LW-MS90 panel in the city of Douala. The meteorological data obtained experimentally was used to evaluate these performances according to the manufacturer's model in MATLAB/Simulink. By comparison with the experimental performances, the results quantify through a certain number of indices, a minimal power drop according to the acquired irradiance estimated at 3.45%. The interest of this approach is to contribute to the prediction of the operating performance of PV panels in the installation phase in non-standard areas.
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