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ERRORS' ESTIMATION IN THE MODELISATION INVERSE OF ACCIDENTAL RELEASE OF GREENHOUSE GASES INTO THE ATMOSPHERE; APPLICATION IN THE RECONSTRUCTION OF THE RESOURCE TERMS OF CARBONDIOXIDE (CO2), METHANE (CH4) AND NITROUS OXIDE (N2O) BY COMBUSTION IN THERMAL POWER PLANTS IN THE CENTRE REGION OF CAMEROON: CASE STUDY AT OYAM-ABANG I

Abstract

The major difficulty today is to know exactly how much Greenhouse Gases (GHG) are generated by thermal power plants by using a suitable method and model. These GHG include Carbon Dioxide (CO₂), which is an effective contributor to environmental destruction. The method used here is the empirical estimation method of GHG in line with the iso norms of the Cameroonian industrial framework for the determination of the exact emissions in kg of GHG (CO₂, CH₄ and N₂O) from the Oyom-Abang I Thermal Power Plant (TPO) during the years 2016; 2017 and 2018. This method was found to be likely, a daily average of 33.79 kg, 98.13 kg and 26.38 kg for Carbon Dioxide (CO₂), Methane (CH₄) and Nitrous Oxide (N₂O) respectively. The first five days of December were chosen for an error’s estimation study in the GHG inverse modelisation with regard to the amount of electricity produced, we can note that in 2016, 2017 and 2018 we have 11043.6 kWh; 8193.891 and 15268.369 kWh respectively. From these results, we can see that in 2016 and 2017 we have a decrease in production compared to 2018. Given these quantities, the errors in the inverse modelisation of these GHG are: (15,70%; 16,18%) for Carbon Dioxide (CO₂ ); (16,18%; 16,99%) for Methane (CH₄) and 16,18% for Nitrogen Peroxide (N₂O).

ESSOMBO BATHELEMY, JEAN CALVIN SEUTCHE, CYRILLE TALLA FOTSING, DELI GORON, ACHILLE CLOVICE GOUNE, JEAN LUC NSOUANDELE, GERMAIN HUBERT BEN-BOLIE

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