Paper Conference

Proceedings of Building Simulation 2021: 17th Conference of IBPSA

     

Energy prediction impact of the Space Level Occupancy schedule for a Primary School

Yingli Lou 1, Yunyang Ye 2, Wangda Zuo 1,3, Jian Zhang 2
1 University of Colorado, Boudler, United States of America
2 Pacific Northwest National Laboratory, United States of America
3 National Renewable Energy Laboratory, United States of America


DOI: https://doi.org/10.26868/25222708.2021.30426
Abstract: By using the same occupant schedule for all spaces, a building level occupancy schedule in building energy modelling can reduce the cost and time of data collection, especially for large-scale simulations or when detailed occupancy data cannot be obtained. However, by describing the unique occupancy status in each space, a space level schedule can better reflect real-world scenarios. This research investigates the energy prediction impact of a space level occupancy schedule for primary school modelling in 16 ASHRAE climate zones. The results show that when switched from a building level to a space level occupancy schedule, the energy prediction difference is between -1.0% and 0.8%. Generally, the predicted building energy consumption using a space level occupancy schedule is higher than when using a building level occupancy schedule in hot and warm climate zones, but lower in other climate zones.
Keywords: Building Energy Model, Building Occupancy, Building Energy Saving Evaluation
Pages: 1564 - 1571
Paper:
bs2021_30426