Sept. 3, 2014: New NIST Lab Aims to Cut Building Energy Use
Intelligent Agent Technologies to be Used to Optimize Building Performance
GAITHERSBURG, Md. — The National Institute of Standards and Technology (NIST) is converting one of its laboratories into the equivalent of a small office building in order to develop and test smart software technologies designed to slash energy use in commercial buildings.
The energy to power a commercial building is consumed by HVAC, lighting, plug-in equipment, and other operations, notes NIST. By one estimate, day-to-day energy expenses make up 32 percent of a building’s total cost over its lifetime.
NIST believes that these energy-consuming operations can be accomplished far more efficiently with existing equipment by more intelligently coordinating their use. At the mock office building now under construction in a standard 1,000-square-foot modular lab space, NIST researchers will put this idea to the test. There, they and their collaborators will investigate whether artificial intelligence tools already used in search engines, robots, routing, and scheduling programs, and other technologies, can work cooperatively to optimize building performance — from minimizing energy use to maximizing comfort to ensuring safety and security.
“Adapting intelligent agent technologies from other fields offers the promise of significant improvements in building operations,” said Amanda Pertzborn, a mechanical engineer working in NIST’s Embedded Intelligence in Buildings Program. “The idea is a kind of ‘one for all approach’ — use networked intelligent agents to manage and control devices and equipment subsystems to enhance the overall performance of a building rather than to optimize the operation of each component independently of all the others.”
Intelligent agents are combinations of software and hardware — sensors, mechanical devices, and computing technologies — that perceive their environment, make decisions, and take actions in response. They can monitor, communicate, collaborate, and even learn, predict, and adapt.
The energy-saving potential of this smart technology will grow with the evolution of the “smart grid” and its two-way communication capabilities, Pertzborn said. So, for example, cooperating teams of intelligent agents can analyze time-of-day pricing, weather forecasts, availability of renewable energy supplies, and occupancy patterns to adjust individual equipment and systems to achieve optimal overall performance.
NIST’s simulated office building will serve as a proving ground for assessing whether intelligent agents dispersed among a structure’s multitude of devices and subsystems can achieve this unity of purpose and work in concert. Prototypes will be tested on the most energy-intensive of building operations — HVAC. The HVAC systems in commercial buildings account for about 7 percent of total U.S. energy consumption.
Modern HVAC systems consist of numerous devices from local dampers, heaters, thermostats, and fans to boilers, air handling units, chillers, and cooling towers. When a building’s HVAC system is first installed and tested, this assortment of components can be tuned so that the system starts out performing at peak efficiency. Over time, however, efficiency tends to degrade from the optimum and energy use patterns of occupants change, requiring retesting and retuning the system. Intelligent agents distributed throughout a HVAC system would enable continuous tweaking to orchestrate the operation of all components so as to maintain peak performance and efficiency throughout the building’s lifetime.
Using a real building HVAC system under controlled laboratory conditions will enable meaningful comparisons of prototype intelligent agents, Pertzborn said. Scheduled to be completed in the fall, this building-in-a-lab will consist of four zones serviced by two chillers, three air-handling units, and four variable air volume units to control airflow along with an ice storage tank, pumps, heat exchangers, and other equipment.
For more information, visit www.nist.gov.
Publication date: 9/1/2014