Building energy management saving by considering lighting system optimization via ANOVA method

Autor: Z. H. Bohari, Mohd Khanapiah Nor, Mohamad Fani Sulaima, Rozaimi Ghazali, N. N. Atira, Azhan Ab Rahman
Rok vydání: 2018
Předmět:
Zdroj: 2018 4th International Conference on Computer and Technology Applications (ICCTA).
DOI: 10.1109/cata.2018.8398685
Popis: This paper suggests on a study of building energy saving by using Analysis of Variance (ANOVA) system to analyze the reduction of energy consumption. This research is significant to reduce the impact of climate change via energy management. In this project, lighting system in UTeM's library is emphasized. The purpose of this research is to investigate the energy demand and determine the possibility of the aspect of energy saving by optimizing current lighting system. Data then used to investigate and analyze the data of total power consumption in the building and analyzed the saving using ANOVA method. This is to identify the best way for improving the energy performance and reporting them. The Analysis of Variance is the method that was suggested in this project; where the MATLAB and EXCEL are applied in analyzing the data and explored to understand the technique and flow of the software. The result proved that ANOVA method is among suitable method to analyze energy saving with more accurate and simple approach.
Databáze: OpenAIRE