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A Systematic Approach for Exploring Tradeoffs in Predictive HVAC Control Systems for Buildings [article]

Joshua Gluck, Christian Koehler, Jennifer Mankoff, Anind Dey, Yuvraj Agarwal
2017 arXiv   pre-print
Recently, advances have been made in HVAC control algorithms that predict room occupancy.  ...  We validate our framework on a real-world occupancy dataset spanning 6 months for 235 rooms in a large university office building.  ...  Look Ahead A key factor for predictive occupancy control of HVAC systems is how far in advance predictions about occupancy occur.  ... 
arXiv:1705.02058v1 fatcat:twkdhitbbnelfotd54yzguypp4

Using Personal Environmental Comfort Systems to Mitigate the Impact of Occupancy Prediction Errors on HVAC Performance [article]

Milan Jain, Rachel K Kalaimani, Srinivasan Keshav, Catherine Rosenberg
2018 arXiv   pre-print
Thus, we quantify the effectiveness of PECs in mitigating the impact of forecast errors on MPC control for HVAC systems.  ...  Model predictive control (MPC) is one state of the art optimization technique for HVAC control which converts the control problem to a sequence of optimization problems, each over a finite time horizon  ...  Acknowledgements We would like to acknowledge Alimohammad Rabbani (then a Masters student at University of Waterloo) and Costin Ograda-Bratu (currently a lab technician at University of Waterloo) for collecting  ... 
arXiv:1810.10619v1 fatcat:smmoqvxr3bb6bokatton7uzazm

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

Milan Jain, Rachel K. Kalaimani, Srinivasan Keshav, Catherine Rosenberg
2018 Energy Informatics  
Thus, we quantify the effectiveness of PECs in mitigating the impact of forecast errors on MPC control for HVAC systems.  ...  Model predictive control (MPC) is one state of the art optimization technique for HVAC control which converts the control problem to a sequence of optimization problems, each over a finite time horizon  ...  Acknowledgements We would like to acknowledge Alimohammad Rabbani (then a Masters student at University of Waterloo) and Costin Ograda-Bratu (currently a lab technician at University of Waterloo) for collecting  ... 
doi:10.1186/s42162-018-0064-9 fatcat:bfibop6skzaqzmbbdujpphzv74

Event-Based HVAC Control--A Complexity-Based Approach

Qing-Shan Jia, Junjie Wu, Zijian Wu, Xiaohong Guan
2018 IEEE Transactions on Automation Science and Engineering  
The optimal control of the heating, ventilation, and air-conditioning (HVAC) system in buildings has a significant energy saving potential and therefore is of a great practical interest.  ...  Note to Practitioners-When there are multiple rooms in a building, the HVAC control may achieve a significant energy saving and an indoor comfort satisfaction in the same time through exploring the coupling  ...  But this was a rule-based control method, not necessarily the optimal control. The fuzzy logic approach is widely used in building the HVAC system control [23] - [25] .  ... 
doi:10.1109/tase.2018.2844258 fatcat:kvxqelffwfanpipnkisu2hafxu

A Review of Reinforcement Learning Applications to Control of Heating, Ventilation and Air Conditioning Systems

Seppo Sierla, Heikki Ihasalo, Valeriy Vyatkin
2022 Energies  
A reinforcement learning agent takes actions, which can be direct HVAC actuator commands or setpoints for control loops in building automation systems.  ...  Reinforcement learning has emerged as a potentially disruptive technology for control and optimization of HVAC systems.  ...  for HVAC control systems.  ... 
doi:10.3390/en15103526 fatcat:mp2vv45qu5byjff32ckwh2tevu

Modeling and Multiobjective Optimization of Indoor Airborne Disease Transmission Risk and Associated Energy Consumption for Building HVAC Systems [article]

Michael James Risbeck, Martin Z. Bazant, Zhanhong Jiang, Young M Lee, Kirk H Drees, Jonathan D Douglas
2021 medRxiv   pre-print
The COVID-19 pandemic has renewed interest in assessing how the operation of HVAC systems influences the risk of airborne disease transmission in buildings.  ...  Given this knowledge gap, we propose a set of dynamical models that can be used to estimate airborne transmission risk and energy consumption for building HVAC systems, based on comfort preferences and  ...  Real building datasets were provided by Johnson Controls International. The authors would like to thank Michael Wenzel, Mohammad ElBsat, Anas Alanqar, and Chenlu Zhang for their helpful discussions.  ... 
doi:10.1101/2021.08.10.21261866 fatcat:smoubqiczbffdbsssopbmh5jga

Use of model predictive control and weather forecasts for energy efficient building climate control

Frauke Oldewurtel, Alessandra Parisio, Colin N. Jones, Dimitrios Gyalistras, Markus Gwerder, Vanessa Stauch, Beat Lehmann, Manfred Morari
2012 Energy and Buildings  
In this paper it is reported on the development and analysis of a Stochastic Model Predictive Control (SMPC) strategy for building climate control that takes into account the uncertainty due to the use  ...  As first step the potential of MPC was assessed by means of a large-scale factorial simulation study that considered different types of buildings and HVAC systems at four representative European sites.  ...  Acknowledgements Swisselectric Research, the Competence Center Energy and Mobility (CCEM-CH) and Siemens Building Technologies are gratefully acknowledged for their financial support of the OptiControl  ... 
doi:10.1016/j.enbuild.2011.09.022 fatcat:bserp6oetrbazmipge5lzwhble

Recent Advances in Internet of Things (IoT) Infrastructures for Building Energy Systems: A Review

Wahiba Yaïci, Karthik Krishnamurthy, Evgueniy Entchev, Michela Longo
2021 Sensors  
Several features of the central components of IoT, namely, the hardware and software needed for building controls, are analysed.  ...  Most of the reviewed works were invariably related to the dilemma of efficient heating systems in buildings.  ...  Acknowledgments: The authors would like to thank the Office of Energy Research and Development (OERD) of Natural Resources Canada for their valuable financial support.  ... 
doi:10.3390/s21062152 pmid:33808558 fatcat:wslqwjnjkvb6zgl2ar2ekfquze

Personal comfort models – A new paradigm in thermal comfort for occupant-centric environmental control

Joyce Kim, Stefano Schiavon, Gail Brager
2018 Building and Environment  
Lastly, we discuss the challenges and opportunities for applications of personal comfort models for building design, control, standards, and future research.  ...  A personal comfort model is a new approach to thermal comfort modeling that predicts an individual's thermal comfort response, instead of the average response of a large population.  ...  In commercial buildings, the controller is typically a BAS which controls the building's HVAC systems.  ... 
doi:10.1016/j.buildenv.2018.01.023 fatcat:6oqwzj6ocbbqhngcxdv57uqpoq

Baseline Estimation of Commercial Building HVAC Fan Power Using Tensor Completion [article]

Shunbo Lei, David Hong, Johanna L. Mathieu, Ian A. Hiskens
2020 arXiv   pre-print
Commercial building heating, ventilation, and air conditioning (HVAC) systems have been studied for providing ancillary services to power grids via demand response (DR).  ...  This paper proposes to use it for baselining HVAC fan power, by utilizing its capability of capturing dominant fan power patterns.  ...  Johnson and Aditya Keskar for valuable discussions.  ... 
arXiv:2004.13557v1 fatcat:fm7q5cciu5gqfl7h63d4dwfzqe

Improving Quality of Experience using Fuzzy Controller for Smart Homes

Qurat-ul Ain, Sohail Iqbal, Hamid Mukhtar
2021 IEEE Access  
FUZZY LOGIC CONTROLLER FOR THE HVAC SYSTEM In residential buildings, HVAC systems are directly related to residents' thermal comfort.  ...  FUZZY LOGIC CONTROLLERS FOR LIGHTING SYSTEM A fuzzy logic controller for a commercial building to achieve energy consumption minimization and visual comfort was proposed in [16] .  ... 
doi:10.1109/access.2021.3096208 fatcat:ellhqclvo5g6rbfype3ony7b7u

Review of building energy modeling for control and operation

Xiwang Li, Jin Wen
2014 Renewable & Sustainable Energy Reviews  
Agent based modeling, as a new modeling strategy, has made a remarkable progress in distributed energy systems control and optimization in the past years.  ...  Energy forecasting models for building energy systems are essential to building energy control and operation.  ...  [43] presented a systematic method to select an appropriate building model for building operation and control.  ... 
doi:10.1016/j.rser.2014.05.056 fatcat:3qecsokwbndcfouorsocw4g6xq

Automotive Cyber–Physical Systems: A Tutorial Introduction

Samarjit Chakraborty, Mohammad Abdullah Al Faruque, Wanli Chang, Dip Goswami, Marilyn Wolf, Qi Zhu
2016 IEEE design & test  
Such approaches not only need innovations in the domain of embedded systems, but also new techniques in control theory.  ...  The HVAC system is monitored and controlled by the automotive climate control in order to provide thermal comfort for the passengers.  ... 
doi:10.1109/mdat.2016.2573598 fatcat:qkizn4ge6nazrogj4q7ystyn5u

Deployment Support for Sensor Networks in Indoor Climate Monitoring

Jaeseok Yun, Jaeho Kim
2013 International Journal of Distributed Sensor Networks  
In this paper, we present a novel method of placing and minimizing sensor nodes for sensor networks in smart energy systems.  ...  Automatic recognition of personal comfort is critical in realizing autonomous control of building utilities.  ...  Acknowledgments This work was supported by the IT R&D program of MKE/KEIT. 10041262, Open IoT Software Platform Development for Internet of Things Services and Global Ecosystem.  ... 
doi:10.1155/2013/875802 fatcat:3o5zfro3hzbkbmyvnlvvvx5dfy

Assessing gaps and needs for integrating building performance optimization tools in net zero energy buildings design

Shady Attia, Mohamed Hamdy, William O'Brien, Salvatore Carlucci
2013 Energy and Buildings  
This paper summarizes a study undertaken to reveal potential challenges and opportunities for integrating optimization tools in net zero energy buildings (NZEB) design.  ...  The findings indicate a breakthrough in using evolutionary algorithms in solving highly constrained envelope, HVAC and renewable optimization problems.  ...  stages for selecting and fine-tuning control strategies and HVAC design and during building operations to best select building control based on model-predictive control strategies [21] [22] [23] [24]  ... 
doi:10.1016/j.enbuild.2013.01.016 fatcat:wlusumwtwzg27knnfe5f7oqrwq
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