This study aimed at developing predictive models for energy demand and CO2 emission trends for households in Makurdi metropolis. As part of the study, households were randomly selected to represent a reasonable spread. Four major emission sources: electricity; transportation; solid waste and cooking fuels were considered, and data on the sources were obtained using records from relevant departments as well as questionnaires, surveys, and interviews of the occupants. This data was analyzed and used to calculate the CO2 emissions of the households using IPCC standard guidelines and formulae. The CO2 emission and energy demand predictive models were also developed using Design Expert 13. The ANOVA for the CO2 emission and energy demand shows a significant model (Significance F value of ≤ 0.0001) and a high R-squared value of 0.9981 and 0.9802 respectively. This indicates the adequacy of the models, and they can therefore be used to predict the CO2 and energy demand of households in Makurdi metropolis. The limitation remains the imbalance in living standards across the respective areas of the metropolis which definitely impacts on the demand and use of energy. It will be useful for policy makers and implementers in ensuring sustainable energy demand planning and CO2 emissions mitigation.
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