DOI: 10.58559/ijes.1660886 ISSN: 2717-7513

The effect of darkness duration on energy performance indicators in energy management system

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The focus of the Energy Management System is continuous improvement of energy performance. Energy performance is related to energy efficiency, energy use and energy consumption and there are parameters that indicate performance. Energy performance indicators are directly related to the energy baseline. Therefore, the energy baseline must be accurately determined. For this purpose, all variables affecting energy consumption must be considered in the regression analysis. The original aspect and goal of this study is to determine the effect of the darkness duration on energy baseline, energy performance indicators. For this purpose, within the scope of the Energy Management System, regression analysis has been performed separately for both public buildings that generally consume energy only during daylight hours and public buildings that consume energy at all times of the day. In addition, for some public buildings located in different cities, the effects of the duration of darkness on the energy baseline and thus on the energy performance indicators have been also examined by regression analysis by changing only the darkness duration variable. MATLAB and linear analysis have been used for regression analysis. For this purpose, firstly, regression analysis has been performed according to energy consumption and the determined variables affecting consumption and accordingly the energy baseline have been determined. Subsequently, the regression analyses have been repeated by incorporating the darkness duration, and the energy baseline and energy performance indicators have been re-established based on the final situation. As a result, the differences between the energy baseline, energy performance indicators in both cases (with and without the darkness duration variable) have been determined. At the end of the study, several recommendations have been presented regarding whether the darkness duration should be included in the regression analysis, particularly for substations with continuous (24/7) electricity consumption.

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