Optimal exergy-wise predictive control for a combined MicroCSP and HVAC system in a building

Authors

Chethan Reddy, Michigan Technological UniversityFollow
Meysam Razmara, Michigan Technological UniversityFollow
Mahdi Shahbakhti, Michigan Technological UniversityFollow
Rush D. Robinett III, Michigan Technological UniversityFollow

Document Type

Conference Proceeding

Publication Date

8-29-2019

Department

Department of Civil, Environmental, and Geospatial Engineering; Department of Mechanical Engineering-Engineering Mechanics

Abstract

This paper presents a new control method to minimize the energy consumption of a micro-scale concentrated solar power (MicroCSP) system and building heating, ventilation, and air conditioning (HVAC) system. A new realtime optimal control method is proposed using the concept of “exergy” and model predictive control (MPC) techniques. To achieve this, first law of thermodynamics (FLT) and second law of thermodynamics (SLT) based mathematical models of MicroCSP are developed and integrated into a model of an office building located at Michigan Technological University. Then, an exergy-wise MPC framework is designed to optimize MicroCSP operation in accordance with the building HVAC needs. The new controller reduces exergy destruction by 28%, compared to a common rule-based controller (RBC). This leads to 23% energy saving, compared to the applied RBC.

Publisher's Statement

©2019 AACC. Publisher’s version of record: https://ieeexplore.ieee.org/abstract/document/8815205

Publication Title

2019 American Control Conference (ACC)

Recommended Citation

Reddy, C., Razmara, M., Shahbakhti, M., & Robinett, R. D. (2019). Optimal exergy-wise predictive control for a combined MicroCSP and HVAC system in a building. 2019 American Control Conference (ACC), 235-240.
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/857