Impact Of Solar Irradiance Data On MPC Performance Of Multizone Buildings

Key

3635

Conference Year

2014

Authors

Donghun Kim, Ray W. Herrick Laboratories, School of Mechanical Engineering, Purdue UniversityFollow
Lucas Witmer, John and Willie Leone Family Department of Energy and Mineral Engineering, The Pennsylvania State UniversityFollow
Jeffrey R. S. Brownson, John and Willie Leone Family Department of Energy and Mineral Engineering, The Pennsylvania State UniversityFollow
James E. Braun, Ray W. Herrick Laboratories, School of Mechanical Engineering, Purdue UniversityFollow

Keywords

Model predictive control, solar model, multi-zone

Abstract

Model Predictive Controllers (MPC) in supervisory level building control systems may employ solar irradiance data to make decisions, particularly for building zones with a high fraction of window area. Solar irradiance on tilted surfaces can be calculated from Global Horizontal Irradiance (GHI) by a common algorithm that includes an empirical correlation to decompose the beam and diffuse components, followed by the application of an anisotropic sky model. Control decisions based on the modeled solar data can be incorrect, particularly if offsite or satellite derived GHI data is employed. This work investigates the impact of uncertain solar estimation on MPC performance with respect to energy consumption and comfort by comparing MPC responses for a multi-zone building based on: measured local Plane of Array (POA) solar data and satellite GHI based modeled POA solar data. The case study results inform the value of information, revealing that MPC decisions based on satellite derived solar data cause comfort violations that depend strongly on the building system characteristics, such as HVAC and internal gains.