Energy consumption and IEQ monitoring in two university apartment buildings: Pre-retrofit dataset

This dataset presents unique monitored data from the pre-retrofit condition of single-family attached residences that were selected for demonstrating an integrated energy efficiency retrofitting approach in Syracuse, New York. The dataset includes whole-building energy consumption, indoor and outdoor environmental parameters, building envelope performance characteristics as well as occupant behaviors. The data were collected during a period of one year from various sensors on fourteen apartments of two occupied residential buildings. The metadata model of the building systems and sensors were created using the Brick schema. A data curation was applied to clean and organize the raw data as research-grade dataset. This dataset can be used in various applications - building energy benchmarking and model calibration, indoor air quality and thermal comfort analysis, energy usage analysis, building envelope performance prediction, occupant behavior analytics, and occupant-centric retrofit strategies development - to boost the performance of existing buildings for reducing energy consumption, energy costs, greenhouse gas emissions, and improving indoor environmental quality and occupants’ satisfaction.