+publisher:"University of Colorado" +contributor:("Clemens Felsmann")

University of Colorado

1. Tanner, Ryan Adams. Stochastic Optimization of Building Control Systems for Mixed-Mode Buildings.

Degree: PhD, 2014, University of Colorado

URL: https://scholar.colorado.edu/cven_gradetds/441

► Mixed mode (MM) buildings are a subset of low-energy buildings that employ both natural mechanical ventilation, often using manually operable windows for natural ventilation,… (more)

▼ Mixed mode (MM) buildings are a subset of low-energy buildings that employ both natural mechanical ventilation, often using manually operable windows for natural ventilation, along with other low-exergy cooling systems such as radiant cooling. This combination of systems has proven difficult to control in practice, in particular due to the potential for occupants to significantly impact building performance. Model predictive control (MPC) and rule extraction are promising methods for optimizing MM building systems in an offline setting, and for generating usable control rules that can be implemented in practice. Simulation studies were performed to investigate the impact that occupant actions have on mixed mode buildings, and to improve the performance of natural ventilation controls in mixed mode buildings while accounting for uncertain occupant behavior. Results show that accounting for occupant behavior in building simulations provides useful insight into the robustness of different control strategies with respect to the impact of occupant actions. Two approaches to improving natural ventilation controls are applied to a physical building; the first seeks to improve on existing control logic by optimizing setpoints, while the second employs MPC and rule extraction to generate all new control logic. Each approach provides insight into potential flaws in existing logic and suggests revised logic that leads to better performance in the presence of occupant behavior. In a final study, rule extraction is applied to optimal control datasets for multiple seasons and locations to develop control rules that approximate optimal controller performance. Converting state information to state-change information prior to applying rule extraction is shown to improve the performance of extracted rules, and it is shown that rules generated using data for a single season or location do not transfer well to other seasons or locations. Advisors/Committee Members: Gregor P. Henze, Gail S. Brager, Balaji Rajagopalan, Michael J. Brandemuehl, Clemens Felsmann.

Subjects/Keywords: hvac control; model predictive control; natural ventilation; occupant behavior; stochastic optimization; uncertainty quantification; Architectural Engineering; Civil Engineering; Mechanical Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Tanner, R. A. (2014). Stochastic Optimization of Building Control Systems for Mixed-Mode Buildings. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/441

Chicago Manual of Style (16^th Edition):

Tanner, Ryan Adams. “Stochastic Optimization of Building Control Systems for Mixed-Mode Buildings.” 2014. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/cven_gradetds/441.

MLA Handbook (7^th Edition):

Tanner, Ryan Adams. “Stochastic Optimization of Building Control Systems for Mixed-Mode Buildings.” 2014. Web. 05 Mar 2021.

Vancouver:

Tanner RA. Stochastic Optimization of Building Control Systems for Mixed-Mode Buildings. [Internet] [Doctoral dissertation]. University of Colorado; 2014. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/cven_gradetds/441.

Council of Science Editors:

Tanner RA. Stochastic Optimization of Building Control Systems for Mixed-Mode Buildings. [Doctoral Dissertation]. University of Colorado; 2014. Available from: https://scholar.colorado.edu/cven_gradetds/441

University of Colorado

2. Corbin, Charles David. Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration.

Degree: PhD, 2014, University of Colorado

URL: https://scholar.colorado.edu/cven_gradetds/460

► Demand management is an important component of the emerging Smart Grid, and a potential solution to the supply-demand imbalance occurring increasingly as intermittent renewable electricity… (more)

Subjects/Keywords: demand response; electric grid; heating ventilating and air conditioning; model predictive control; optimization; residential buildings; Architectural Engineering; Engineering; Power and Energy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Corbin, C. D. (2014). Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/460

Chicago Manual of Style (16^th Edition):

Corbin, Charles David. “Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration.” 2014. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/cven_gradetds/460.

MLA Handbook (7^th Edition):

Corbin, Charles David. “Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration.” 2014. Web. 05 Mar 2021.

Vancouver:

Corbin CD. Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration. [Internet] [Doctoral dissertation]. University of Colorado; 2014. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/cven_gradetds/460.

Council of Science Editors:

Corbin CD. Assessing Impact of Large-Scale Distributed Residential HVAC Control Optimization on Electricity Grid Operation and Renewable Energy Integration. [Doctoral Dissertation]. University of Colorado; 2014. Available from: https://scholar.colorado.edu/cven_gradetds/460

University of Colorado

3. Pavlak, Gregory S. Building-To-Grid Integration Through Commercial Building Portfolios Participating in Energy and Frequency Regulation Markets.

Degree: PhD, 2014, University of Colorado

URL: https://scholar.colorado.edu/cven_gradetds/464

► Building energy use is a significant contributing factor to growing worldwide energy demands. In pursuit of a sustainable energy future, commercial building operations must be… (more)

Subjects/Keywords: building energy modeling; buildings to grid integration; frequency regulation ancillary service; portfolio optimization; supervisory model predictive control; thermal mass optimization; Architectural Engineering; Mechanical Engineering; Power and Energy

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pavlak, G. S. (2014). Building-To-Grid Integration Through Commercial Building Portfolios Participating in Energy and Frequency Regulation Markets. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/464

Chicago Manual of Style (16^th Edition):

Pavlak, Gregory S. “Building-To-Grid Integration Through Commercial Building Portfolios Participating in Energy and Frequency Regulation Markets.” 2014. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/cven_gradetds/464.

MLA Handbook (7^th Edition):

Pavlak, Gregory S. “Building-To-Grid Integration Through Commercial Building Portfolios Participating in Energy and Frequency Regulation Markets.” 2014. Web. 05 Mar 2021.

Vancouver:

Pavlak GS. Building-To-Grid Integration Through Commercial Building Portfolios Participating in Energy and Frequency Regulation Markets. [Internet] [Doctoral dissertation]. University of Colorado; 2014. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/cven_gradetds/464.

Council of Science Editors:

Pavlak GS. Building-To-Grid Integration Through Commercial Building Portfolios Participating in Energy and Frequency Regulation Markets. [Doctoral Dissertation]. University of Colorado; 2014. Available from: https://scholar.colorado.edu/cven_gradetds/464

University of Colorado

4. Zhao, Peng. Dynamic Building-To-Grid Integration Through Combined Building System Resources for Frequency Regulation Service.

Degree: PhD, 2015, University of Colorado

URL: https://scholar.colorado.edu/cven_gradetds/114

► Frequency regulation (FR) is the electric grid service responsible for maintaining the system frequency at its nominal value of 60 Hz in the United States… (more)

Subjects/Keywords: building controls; building HVAC systems; building-to-grid integration; demand response; dynamic frequency regulation; Architectural Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhao, P. (2015). Dynamic Building-To-Grid Integration Through Combined Building System Resources for Frequency Regulation Service. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/114

Chicago Manual of Style (16^th Edition):

Zhao, Peng. “Dynamic Building-To-Grid Integration Through Combined Building System Resources for Frequency Regulation Service.” 2015. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/cven_gradetds/114.

MLA Handbook (7^th Edition):

Zhao, Peng. “Dynamic Building-To-Grid Integration Through Combined Building System Resources for Frequency Regulation Service.” 2015. Web. 05 Mar 2021.

Vancouver:

Zhao P. Dynamic Building-To-Grid Integration Through Combined Building System Resources for Frequency Regulation Service. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/cven_gradetds/114.

Council of Science Editors:

Zhao P. Dynamic Building-To-Grid Integration Through Combined Building System Resources for Frequency Regulation Service. [Doctoral Dissertation]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/cven_gradetds/114

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