Smart connected buildings design automation: Foundations and trends

被引:26
作者
Maasoumy M. [1 ]
Sangiovanni-Vincentelli A. [1 ]
机构
[1] UC Berkeley, United States
来源
Foundations and Trends in Electronic Design Automation | 2016年 / 10卷 / 1-2期
关键词
Air conditioning - Office buildings - Apartment houses - Architectural design - Computer aided design - Intelligent buildings - Online systems - Electric power transmission networks - Laws and legislation - Environmental technology - Environmental impact;
D O I
10.1561/1000000043
中图分类号
学科分类号
摘要
Buildings are the result of a complex integration of multi-physics subsystems. Besides the obvious civil engineering infrastructure, thermal, electrical, mechanical, control, communication and computing subsystems must co-exist and be operated so that the overall operation is smooth and efficient. This is particularly important for commercial buildings but is also very relevant for residential buildings especially apartment buildings. Unfortunately, the design and deployment of these subsystems is rarely synchronized: lighting, security, heating, ventilation and air conditioning systems are often designed independently. However, simply putting together a collection of sub-systems, albeit optimized, has led to inefficient buildings of today. Worldwide, buildings consume 42% of all electrical power - more than any other asset - and it can be proven that much of this can be reduced if a holistic approach to design, deployment and operation is taken. Government agencies, academic institutions, building contractors and owners have realized the significant impact of buildings on the global environment, the electrical grid, and the mission of their organizations. However, the economic impact for all constituencies is still difficult to assess. Government regulations can play a fundamental role, as it has been the case for the transportation industry where regulations on emission and fuel consumption have been the single most important factor of innovation in automotive design. We are convinced that by leveraging technology and utilizing a system-level approach to buildings, they will provide comfort, safety and functionality while minimizing energy cost, supporting a robust electric grid and mitigating environmental impact. Realizing this vision requires adding intelligence from the beginning of the design phase, to deployment, from commissioning to operation, all the way to the end of the building's life cycle. In this issue, we attempt to provide an overview of the activities in the field of smart connected building design automation that attempts to make the vision a reality. The overarching range of such activities includes developing simulation tools for modeling and design of buildings, and consequently control algorithms proposed to make buildings smarter and more efficient. Further, we will review real-world and large-scale implementation of such control strategies on physical buildings. We then present a formal co-design methodology to design buildings taking the view that buildings are prime examples of cyberphysical systems where the virtual and physical worlds meet, as more traditional products such as thermostats are able to connect online and perform complicated computational tasks to control building temperature effectively. We complete the presentation describing the growing role of buildings in the operation of the smart grid where buildings are not only consumers of energy, but also providers of services and energy to the smart grid. The audiences for this monograph are industry professionals and researchers who work in the area of smart buildings, smart cities and smart grid, with emphasis on energy-efficiency, simulation tools, optimal control, and cyber-physical systems design for the emerging and connected power markets. © 2016 M. Maasoumy and A. Sangiovanni-Vincentelli.
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页码:1 / 143
页数:142
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共 127 条
[1]  
American Housing Survey for the United States, U. S. Department of Housing and Urban Development and U. S. Department of Commerce., (2008)
[2]  
Agbi C., Song Z., Krogh B., Parameter identifiability for multi-zone building models, Annual Conference on Decision and Control (CDC), pp. 6951-6956, (2012)
[3]  
Ahuja S., Surana A., Cliff E., Reduced-order models for control of stratified flows in buildings, American Control Conference (ACC), pp. 2083-2088, (2011)
[4]  
Aksanli B., Akyurek A., Behl M., Clark M., Donze A., Dutta P., Lazik P., Maasoumy M., Mangharam R., Nghiem T., Distributed control of a swarm of buildings connected to a smart grid: Demo abstract, ACM Conference on Embedded Systems for Energy-efficient Buildings, pp. 172-173, (2014)
[5]  
Arguello-Serrano B., Velez-Reyes M., Nonlinear control of a heating, ventilating, and air conditioning system with thermal load estimation, IEEE Transactions on Control Systems Technology, 7, 1, pp. 56-63, (2002)
[6]  
ASHRAE. Standard 62.1, Ventilation for Acceptable Indoor Air Quality, (2004)
[7]  
ASHRAE. Standard 55-2004, Thermal Environmental Conditions for Human Occupancy, (2004)
[8]  
Aswani A., Master N., Taneja J., Culler D., Tomlin C., Reducing transient and steady state electricity consumption in hvac using learning-based model-predictive control, Proceedings of the IEEE, 99, pp. 1-14
[9]  
Balandat M., Oldewurtel F., Chen M., Tomlin C., Contract design for frequency regulation by aggregations of commercial buildings, Annual Conference on Communication, Control, and Computing (Allerton), pp. 38-45, (2014)
[10]  
Behl M., Nghiem T., Mangharam R., Model-iq: Uncertainty propagation from sensing to modeling and control in buildings, International Conference on Cyber-physical Systems, pp. 13-24, (2014)