TECHNOLOGICAL AND SOCIAL BASIS FOR A SUSTAINABLE ENERGY SYSTEM IN ENHANCING THE POTENTIAL BENEFITS OF ENERGY EFFICIENCY: CASE STUDY IN KILIFI COUNTY

Abstract

Low energy costs have not induced industry and households to adopt energy efficiency measures and the growing GHG emissions are a source of growing concern and promoting energy efficiency standards. Demand-side management can be used to limit residential demand growth or mitigate the impacts through the provision of incentives for industry and commerce to move load out of the peak periods. Benefits of this include avoiding high price increases through the deferment or avoidance of certain generation capacity construction. This paper explores how electrification connection to poor households (where Biomas, wood, paraffin and liquid petroleum gas were the primary household energy sources), promotes the use of clean, versatile and convenient form of energy that connects them to the modern economy. This can raise the proportion of energy sales, leading to a rise in peak demand, with the residential sector contributing more than 30% because of the peaky nature of the load (Africa, 2003). The researcher used stratified sampling technique to select the male and female respondents for this study. The researcher established that Beta coefficients are highest for energy characteristics clean (beta = 0.220) and no smoke (beta = 0.101). To determine the relative importance of the significant predictors, the researcher looked at the standardized than the unstandardized coefficients. Therefore people prefer clean energy and therefore it contributes more to the model because it has a larger absolute standardized coefficient (beta = 0.175). The results of multiple coefficients indicate that all the five variables do not have equal explanatory power of the dependent variable. However, the choice of energy influenced mostly by the variance in cost according to the un-standardized beta coefficients (beta = 0.106, t = 1.109) which was found to be statistically significant at 5 percent level. The second most important characteristic clean energy means (beta = 0.220, t = 1.186) also found to be statistically significant at 5 percent level. The results indicate that with a positive beta, the two variables must be adjusted positively in order to reduce dependence on other forms of unhealthy energy. The paper provides a useful insight into technological and social basis for a sustainable energy system in enhancing the potential benefits of energy efficiency. The choice of energy influenced mostly by the variance in cost according to the unstandardized beta coefficients (beta=0.106, t=1.109) which was found to be statistically significant at 5 percent level. The second most important characteristic clean energy means (beta = 0.220, t=1.186) also found to be statistically significant at 5 percent level. Quality of energy can be ensured by seizing the momentum and global spotlight on clean household energy.