英文摘要 |
A considerable amount of data is generated throughout the life cycle of a building, and among them, energy data is vital for measurement and verification (M&V). Meter data analysis (MDA) has emerged as a powerful tool for studying energy use behavior, and through data mining and visualization, facility managers can clearly understand the problems and make better objective decisions based on the data. Most studies in the field of MDA have focused only on data mining techniques. In this study, a MDA framework was developed and applied to practical implementation to address a neglected relationship between techniques and use cases. The research presented here used a heuristic approach to identify the primary use cases and confirms that MDA and demand side management (DSM) can help facility managers reduce peak load on campus through M&V and the adoption of renewable energy and an energy storage system. The study implies that the goal-defining stage plays a crucial role in MDA, and the findings can contribute to a better understanding of the important role of accurate and real-time meter data for facility managers to make high-quality decisions in energy management. Furthermore, for net-zero energy buildings to be viable, energy use in buildings must be more flexible, and building energy management systems must generate data-driven strategies that help improve decision-making for facility managers and increase awareness of energy use among building occupants. |