Using personal environmental comfort systems to mitigate the impact of occupancy prediction errors on HVAC performance

Using personal environmental comfort systems to mitigate the impact of occupancy prediction errors on HVAC performance

Abstract Heating, Ventilation and Air Conditioning (HVAC) consumes a significant fraction of energy in commercial buildings. Hence, the use of optimization techniques to reduce HVAC energy consumption has been widely studied. Model predictive control (MPC) is one state of the art optimization techni...

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Bibliographic Details
Main Authors: Milan Jain, Rachel K. Kalaimani, Srinivasan Keshav, Catherine Rosenberg
Format: Article
Language:English
Published: SpringerOpen 2018-12-01
Series:Energy Informatics
Subjects:
HVAC
Control
Optimisation
Error analysis
Thermal modelling
Simulation
Online Access:http://link.springer.com/article/10.1186/s42162-018-0064-9

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http://link.springer.com/article/10.1186/s42162-018-0064-9

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