LAUSR

This paper focused on climate projection on energy availability in, Kombolcha town, central north Ethiopia which is one of the most industry-occupied places in the country. Marksim climate data generator model with all ensemble models and representative concentration pathway (RCP) 8.5 scenario is used. The climate projection outputs are drawn from the model based on the given input latitude, longitude, and climate parameters (maximum temperature, minimum temperature, and precipitation). The result showed that the mean early maximum temperature, mean monthly minimum temperature, and mean monthly precipitation have an increased pattern over the study area with a rate of change of 8.4, 14.85, and 6.6%, respectively, for the 4.5 decades, respectively. The mean monthly minimum temperature showed the highest rate of change (14.85%). As a result, the change in temperature causes a change in energy. Since temperature cause motions of particles over the area, the parallel energy availability will increase. Therefore, the energy rate of change for the 4.5 decades is 8.36%. Since the research is based on online data from the model and more industries are established in the study area, industry-related research with baseline climate data should be conducted to reduce climate-related hazards in the study area.