Steady-State Predictive Optimal Control of Integrated Building Energy Systems Using a Mixed Economic and Occupant Comfort Focused Objective Function
Control of energy systems in buildings is an area of expanding interest as the importance of energy efficiency, occupant health, and comfort increases. The objective of this study was to demonstrate the effectiveness of a novel predictive steady-state optimal control method in minimizing the economi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-06-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/11/2922 |
| _version_ | 1797565928532082688 |
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| author | Christopher J. Bay Rohit Chintala Bryan P. Rasmussen |
| author_facet | Christopher J. Bay Rohit Chintala Bryan P. Rasmussen |
| author_sort | Christopher J. Bay |
| collection | DOAJ |
| description | Control of energy systems in buildings is an area of expanding interest as the importance of energy efficiency, occupant health, and comfort increases. The objective of this study was to demonstrate the effectiveness of a novel predictive steady-state optimal control method in minimizing the economic costs associated with operating a building. Specifically, the cost of utility consumption and the cost of loss productivity due to occupant discomfort were minimized. This optimization was achieved through the use of steady-state predictions and component level economic objective functions. Specific objective functions were developed and linear models were identified from data collected from a building on Texas A&M University’s campus. The building consists of multiple zones and is serviced by a variable air volume, chilled water air handling unit. The proposed control method was then co-simulated with MATLAB and EnergyPlus to capture effects across multiple time-scales. Simulation results show improved comfort performance and decreased economic cost over the currently implemented building control, minimizing productivity loss and utility consumption. The potential for more serious consideration of the economic cost of occupant discomfort in building control design is also discussed. |
| first_indexed | 2024-03-10T19:19:51Z |
| format | Article |
| id | doaj.art-5d9d69735e934ee0a3008f39c795a9c9 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T19:19:51Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5d9d69735e934ee0a3008f39c795a9c92023-11-20T03:05:00ZengMDPI AGEnergies1996-10732020-06-011311292210.3390/en13112922Steady-State Predictive Optimal Control of Integrated Building Energy Systems Using a Mixed Economic and Occupant Comfort Focused Objective FunctionChristopher J. Bay0Rohit Chintala1Bryan P. Rasmussen2National Renewable Energy Laboratory, Golden, CO 80401, USANational Renewable Energy Laboratory, Golden, CO 80401, USADepartment of Mechanical Engineering, Texas A&M University, College Station, TX 77843, USAControl of energy systems in buildings is an area of expanding interest as the importance of energy efficiency, occupant health, and comfort increases. The objective of this study was to demonstrate the effectiveness of a novel predictive steady-state optimal control method in minimizing the economic costs associated with operating a building. Specifically, the cost of utility consumption and the cost of loss productivity due to occupant discomfort were minimized. This optimization was achieved through the use of steady-state predictions and component level economic objective functions. Specific objective functions were developed and linear models were identified from data collected from a building on Texas A&M University’s campus. The building consists of multiple zones and is serviced by a variable air volume, chilled water air handling unit. The proposed control method was then co-simulated with MATLAB and EnergyPlus to capture effects across multiple time-scales. Simulation results show improved comfort performance and decreased economic cost over the currently implemented building control, minimizing productivity loss and utility consumption. The potential for more serious consideration of the economic cost of occupant discomfort in building control design is also discussed.https://www.mdpi.com/1996-1073/13/11/2922energy optimizationsteady-state controlbuilding energy control systemcomfort and engineeringbuidling simulation (EnergyPlus and MATLAB) |
| spellingShingle | Christopher J. Bay Rohit Chintala Bryan P. Rasmussen Steady-State Predictive Optimal Control of Integrated Building Energy Systems Using a Mixed Economic and Occupant Comfort Focused Objective Function Energies energy optimization steady-state control building energy control system comfort and engineering buidling simulation (EnergyPlus and MATLAB) |
| title | Steady-State Predictive Optimal Control of Integrated Building Energy Systems Using a Mixed Economic and Occupant Comfort Focused Objective Function |
| title_full | Steady-State Predictive Optimal Control of Integrated Building Energy Systems Using a Mixed Economic and Occupant Comfort Focused Objective Function |
| title_fullStr | Steady-State Predictive Optimal Control of Integrated Building Energy Systems Using a Mixed Economic and Occupant Comfort Focused Objective Function |
| title_full_unstemmed | Steady-State Predictive Optimal Control of Integrated Building Energy Systems Using a Mixed Economic and Occupant Comfort Focused Objective Function |
| title_short | Steady-State Predictive Optimal Control of Integrated Building Energy Systems Using a Mixed Economic and Occupant Comfort Focused Objective Function |
| title_sort | steady state predictive optimal control of integrated building energy systems using a mixed economic and occupant comfort focused objective function |
| topic | energy optimization steady-state control building energy control system comfort and engineering buidling simulation (EnergyPlus and MATLAB) |
| url | https://www.mdpi.com/1996-1073/13/11/2922 |
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