The Impact Of Independent Variables To The Energy Consumption In An Industry

Huzaimi, Muhammad Idlan (2021) The Impact Of Independent Variables To The Energy Consumption In An Industry. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Energy sector has major impact in industry as industry sector is the second largest energy consumer. Various variables contribute to the consumption of energy in industry. There wide range of purpose of using energy such as process and assembly, heating and cooling process, and steam. Energy conservation measure (ECM) is implemented to improve energy consumption. Option C in M&V plan is applied in this study. Reducing energy consumption lead toward better, healthier and sustainable environment. By identifying and analysing independent variables that contribute higher consumption of energy in an industry, energy saving can be improved. Unwanted or insignificant variables can be reduced by evaluating the variables to define which variables shows better relation in consumption of energy in the building. Data for three year will be collected. Baseline model will be constructed based on first year data as implementation of ECM will be done in the second and third year. Multiple linear regression and correlation analysis is implemented to find the best statistical model to calculate saving. Correlation analysis is done to identify which independent variables have stronger relationship with the energy consumption. Independent variables that have positive relationship will be selected to construct statistical models. Possible statistical model will be made based on the selected independent variables in correlation analysis. After that, the possible statistical model will undergo regression analysis. The best statistical model will be selected based on the criteria and requirement stated. The best statistical model also acts as the baseline model. The equation obtained for the baseline model is y = 70938.781+1686.660FUR+25918.578UCT-445.488WHB. Based on the baseline model, estimated energy consumption can be calculated. Saving can be determine based on the difference between estimated energy consumption and actual energy consumption. As for the conclusion, stronger relationship of independent variables and energy consumption give great impact toward total energy consumption

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