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| Academic |
| Business < 500 Employees |
| Business > 1000 Employees |
| Business 500-1000 Employees |
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| Federally Funded Research and Development Center (FFRDC) |
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| | Apsis Automation, LLC | Lincoln Lorscheider | Business < 500 Employees |
Building Efficiency
| Building Automation Consultant with significant experience on multiple automation platforms. I have substantial practical experience in implementing and servicing occupancy detection with HVAC control. |
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| | Architectural Engineering Program, University of Cincinnati | Julian Wang | University |
Building Efficiency
| Our research expertise is on smart buildings, indoor comfort and environmental quality, healthcare design, and simulation-based building environmental studies. |
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| | Conectric Networks, LLC | Phillip Kopp | Business < 500 Employees |
Building Efficiency
| We have been working over 16 years developing solutions to control building energy and demand in a niche vertical, hotels. This "always on" 24x7 environment has provided rich opportunities for savings, due to the fact that the buildings are largely empty most of the day. The challenge has been focused on accurately reporting the occupancy information to control systems in real time, such that savings can be achieved without disturbing occupants and high paying customers by issuing false readings, while maintaining comfort expectations. Additionally this environment has provided substantial opportunities to develop load shifting algorithms and grid support systems as the cost of energy, and thus ROI, becomes highly influenced by TOU and demand based tariffs. We have developed multiple award winning solutions and are "known" to the industry for being the best deliverer of these key value benefits.
This experience uniquely qualifies our team and company to participate in the RFI-030. We have also been selected as a sub-contractor to participate in the CEC EPIC Grant: Advancing Solutions to Control Demand for the purpose of demonstrating our abilities to track real-time occupancy, manage this information over open wireless networks and develop algorithms for the purpose of energy reduction and demand shifting without the need of adding large, expensive, disruptive or environmentally compromising assets to the system. |
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| | Cornell University | Edwin Kan | University |
Building Efficiency
| RFID-based ultra-low-power indoor occupant monitoring
Among all of the advances in electronic and information technology, radio-frequency (RF) technology for indoor precision real-time locating system (RTLS) still remains unreliable for many applications, including building control, indoor navigation, 3D human-machine interface (HMI), biomedical monitoring,and prosthetic feedback control. In addition, smart building concepts are heavily limited if the occupant physical location remains unknown or inaccurately known. Many local area network (LAN) and body area network (BAN) breakthroughs can be enabled if an indoor radar-like technology can be broadly deployed. The detection and ranging principle of indoor RTLS is similar to outdoor radar, but has many unresolved challenges such as unspecific reflection, path obstruction, and multi-path interference.
Different from the received-signal strength (RSS) method which is insensitive to location and has serious ambiguity problems for indoors, the continuous wave (CW) phase-based ranging method is simple, flexible and precise, but vulnerable to phase offsets and interferences. I will present passive broadband harmonic tags to fundamentally rectify previous CW problems. Because phase information is now contained within the second harmonic (SH) rather than the fundamental frequency, interferences and phase errors caused by direct reflections of the interrogating signal are greatly reduced. The passive harmonic tag is now the only radiation source in SH within the indoor ambient, which enables many radar techniques like channel coherence, beamforming and synthetic aperture to improve precision, evaluate measurement quality and reduce spectral cost. Thus, for occupants wearing tags, their ID and physical location can be accurately known. The ID can be further used to link to personal preference and behavior. In addition, with the help of known harmonic landmark tags set in each room, the tagless occupants can be further mapped out with redundant angular and frequency diversity, although the ID is not available. I will show realistic indoor experiments to validate our models and algorithms. The computational and deployment cost is orders of magnitude smaller than image based methods, and geometrical optimization and human kinematics can be further integrated to drive to an ultra-low power occupant sensing system. |
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| | IBM | Shu-Jen Han | Business > 1000 Employees |
Other
| IBM Research is one of the world’s largest and most influential corporate research labs, with more than 3,000 researchers in 12 labs located across six continents. We play the long game, investing now in tomorrow's breakthroughs. Today, it forms a core part of IBM's business. During IBM’s 23 years atop the US patent list, the company’s inventors have received more than 88,000 U.S. patents.
IBM has strong commitments to both energy-saving technologies and the internet of things (IoT). These include its Smarter Buildings initiative, its Tririga facility management software, and its Watson IoT platform, which provides a framework for aggregating and analyzing data from a wide range of networked devices and sensors. With deep research and development expertise in semiconductor, nanotechnology, material science, as well as system integration and data analytics, IBM is interested in developing novel sensor technologies and smart-building devices for occupation and gas sensing for the SENSOR program. |
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| | Iowa Energy Center | Xiaohui Zhou | Non-Profit |
Building Efficiency
| Iowa Energy Center is a non-profit organization and conduct and sponsor research in energy efficiency and renewable energy. Our research facility Energy Resource Station (ERS) located in Ankeny, Iowa is a light commercial building designed for research and demonstration of advanced building energy efficiency technologies. One unique feature is it can do simultaneous testing and demonstration of multiple, full-scale commercial building HVAC and control systems. The facility's technical description can be downloaded at: http://www.iowaenergycenter.org/grant-and-research-library/2010-energy-resource-station-ers-technical-description/
In the past 20 years, we have worked with many research partners doing research and testing in the area of commercial building energy efficiency. Our research focus areas are: HVAC equipment and control testing, building simulation model validation, automated fault detection and diagnostics (AFDD), building sensors and controls research, advanced HVAC and lighting control strategies, and advanced windows testing.
We are interested in being your team partner for the upcoming DOE APAR-E FOA for advanced occupancy sensor development and demonstration of energy savings. For more information about our research and testing capabilities, feel free to contact me. |
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| | Jensen Beach Green | Robert Stehlin | Small Business |
Building Efficiency
| Robert Stehlin - Project Lead
Jensen Beach Green Project is a privately funded resilient home project in Jensen Beach, Florida. The purpose of the project will be to showcase the latest technologies in envelopes (strength and efficiency), energy, water, waste and food all in a hot, high moisture, urban ½ acre setting.
My background is very diverse. I grew up in the land development business in the Out Islands of the Bahamas and watched first hand how infrastructure problems were solved with very limited resources. From these early beginnings, I bring over 30 years of logistics and transportation combined with healthcare and insurance now focused on delivering the best affordable resilient home possible for multiple climate zones. The home of the future is all about the systems and how they interact - it’s logistics. Jensen Beach Green goes beyond just energy to address many more of the problems we are facing today in urban and rural settings:
Energy - efficiency and production
Moisture - defense and management
Water - harvesting, recycling and disposal
Envelope - strength and efficiency
Financial - affordable
Food - generate significant amounts to supplement food budget or generate income
I am building out a team of transformation agents (forward thinkers - outsiders - risk takers - disrupters) who want to make a difference in how we build. We are designing a smart home and look to run POE for our lighting and sensor systems (great platform for occupant recognition). Our Smart Inverter HVAC system will be a ductless system distributed through out the home at a room level, giving us the best opportunity to maximize efficiency by way of occupancy recognition. Jensen Beach Green is fully financed by private funds and corporate sponsors. I am looking to partner with anyone with a passion to build tomorrows home today. If you have a new technology or idea, want to prove to the public it works in a real world setting, and wants real performance data with an actual home where real people living in it - JBG is the project for you. We are looking for partners in all areas of our home - visit our website www.JensenBeachGreen.com to see the scope of our project. You have an idea, you have a technology, let me know. I am willing to talk to anybody, anytime, who shares the same passion and mission as JBG. |
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| | Lawrence Berkeley National Laboratory | Jessica Granderson | Federally Funded Research and Development Center (FFRDC) |
Building Efficiency
| Berkeley Lab researchers offer decades of expertise in the development, testing, calibration, and use of sensor technologies for building energy efficiency applications. As DOE’s Core Laboratory in ventilation and related indoor air quality (IAQ) sensing and control mechanisms, LBNL has taken the lead in Smart Ventilation technologies that allow IAQ to be maintained while saving energy and allowing the user to optimize peak power and improve IAQ. Similarly, LBNL has deep capabilities in communication standards for efficient device and system-level control, monitoring, and reporting. LBNL has extensive experience in field-testing and calibration of sensor systems for residential and commercial HVAC, thermal comfort, daylighting and integrated system control applications. More recently, LBNL has begun developing innovative occupancy sensing solutions that use implicit, or inferential, sensing methods to leverage existing data sources to estimate building occupancy levels, and communicate this information to control and diagnostic platforms.
Berkeley Lab is also home to FLEXLAB, an advanced integrated systems and building technologies testbed facility that provides a unique reconfigurable platform to enable technology testing under realistic operating conditions. Testbeds include a 3,000 sf permanently occupied environment, and four other testbeds each consisting of two identical 600 sf cells for comparison studies. All testbeds enable testing of any new sensor type, and can conduct controls studies under occupied conditions, or using occupancy proxies, as appropriate. Current occupancy sensing technologies include PIR, infrared cameras, and supplementary instrumentation can be added to serve as ground truth reference points to assess accuracy. FLEXLAB’s robust data acquisition infrastructure provides additional high accuracy measurements, such as utility grade accuracy power metering, with a granularity such that complex system interactions can be discretely analyzed and understood down to the device level. FLEXLAB offers capabilities to study the operation and control of all major building end use systems including HVAC and its integrated effects with lighting, plug loads, envelope, and interior shading. The facility can be used to rigorously performance test sensing and controls hardware, as well as energy and non-energy benefits to occupants. |
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| | PARC | David Schwartz | Business < 500 Employees |
Building Efficiency
| PARC has a number of capabilities and technologies applicable to occupancy and CO2 sensing including low-cost distributed sensor systems, printed and flexible electronics, printable and low-cost CO2 sensors, flexible low-cost thermal imagers, CO2 imaging cameras, and occupancy detection with scanned RF. PARC is seeking market-facing partners in the building management and operations space. |
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| | PercepTonic | Goksel Dedeoglu | Business < 500 Employees |
Other
| PercepTonic has a top-down people-counting solution that is more than 99% accurate. It can distinguish adults from children and pets. Our lab has been successfully developing computer vision prototypes since 2014. We specialize in power and performance optimizations on embedded architectures, including ARM Cortex-Ax, DSPs and FPGAs. More info on our website. |
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| | Robert Bosch LLC | Scott Averitt | Business > 1000 Employees |
Building Efficiency
| The Bosch Group, founded in 1886, is a leading global supplier of technology and services. It employs roughly 375,000 associates worldwide. The company generated sales of 70 billion € in 2015. Operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. The Bosch Group comprises Robert Bosch GmbH and its roughly 440 subsidiary and regional companies in some 60 countries. Including its sales and service partners, Bosch is represented in roughly 150 countries. This worldwide development, manufacturing, and sales network is the foundation for innovation and future growth. In 2015 alone, Bosch applied for some 5,422 patents worldwide. The Bosch Group’s strategic objective is to create solutions for a connected life that improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.”
Additionally, the Bosch group is the world’s largest provider of MEM sensors that enable new applications and innovative solutions across a wide range of applications. Bosch Thermotechnik GmbH is a leading supplier of heating products and hot water solutions in Europe. Bosch Thermotechnology has strong international and regional brands and manufactures a diversified product range in European, American and Asian countries. Bosch’s Research and Technology Centers (located in Palo Alto & Pittsburgh) also have extensive experience in developing infrastructure for collecting sensor data from a medium scale distributed systems, developing several applications for improving energy efficiency in buildings including occupancy estimation and thermal comfort assessment, deploying the solutions in real-world and evaluating their performance.
Most recently the Research and Technology Center (RTC) lcoated in Pittsburgh was awarded a DOE BENEFIT grant in collaboration with Carnegie Mellon University for its Human-in-the-loop Sensing Control project. |
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| | signetron Inc | avideh zakhor | Business < 500 Employees |
Building Efficiency
| Signetron has been active in a number of ARPA-E projects since 2013. Our expertise in advanced algorithm development, sensor fusion, wireless networking and indoor mapping and positioning algorithms.
In the context of this particular FOA, we have developed a methodology for real time occupancy detection in large buildings without having to deploy, install or maintain any sensors. Our approach is based on a novel, fast, automated WiFi and magnetic fingerprinting method which simply involves a human operator walking through a building while holding a smartphone in his or her hand. Our proprietary algorithms use the information collected from this walkthrough to build a spatial WiFi and magnetic reference database of the building, which can later be used by a mobile “app” on occupants’ phones to real time localize them in the building. Aggregation of all occupant’s location can be used to paint a spatio-temporally accurate real time occupancy map of the building which can then be utilized to minimize energy consumption by turning off HVAC and lighting in rooms and areas with no occupancy. In doing so, we exploit that fact that in most commercial and industrial buildings, occupants carry a phone with them throughout their work day. To incentivize the occupants to use our “app”, we allow them to specify their thermal, humidity, and lighting preferences during download as well as future use, so as to maximize their comfort level wherever they are within the building, and not only in their office. Over time, our app learns the temperature profile of each user and can systematically widen their set-point range, without compromising their comfort, while achieving substantial HVAC energy savings. In addition, reporting the temperature sensor reading on the occupant’s phone to our app can augment or replace the existing feedback mechanism to the HVAC system by wall sensors which could be mis-calibrated, dysfunctional, exposed to sunlight, in a part of the room where the air is not well-mixed, placed near internal loads such as computer monitors, or subject to any other source of disruption in the air temperature. We will validate and demonstrate this concept experimentally in several buildings and characterize the precise energy savings over a period of one year. |
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| | SRI International | Barbara Heydorn | Non-Profit |
Other
| SRI International develops sensors, analytics, and communications systems to address the unique requirements of commercial and government clients. Sensor attributes typically include high speed, low cost, high sensitivity, and real-time feedback. Examples of SRI solutions include optical and biological sensors, biometric recognition, light detection and ranging (LIDAR), vibration imaging sensors, sensors and analytics to extract information from acoustic sources, and tracking systems with micro-optical tags. SRI also has expertise in artificial intelligence, sensor phenomenology and modeling, and designing secure systems that protect privacy. SRI’s staff of 2,100 work in partnership with clients to invent, scale-up and commercialize promising technologies developed by SRI, brought to us by clients, or developed in partnership with clients. |
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| | Temple University | Chang-Hee Won | University |
Building Efficiency
| Temple University is a state-related public university with 40,000 students and more than 464 academic degree programs. College of engineering has four departments including electrical and computer engineering department. As a research institution, the college of engineering offers a cutting edge curriculum that is accredited by the national accreditation board, ABET. Control, Sensor, Network, and Perception (CSNAP) Laboratory has sensor and control algorithm development experience. CSNAP lab is equipped with gimbaled targeting system testbed, computers, cameras, controllers, Matlab, and dSpace board for testing the sensors and control algorithm. CSNAP is a part of Temple engineering college. |
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| | Texas Tech University - Institute for Materials, Manufacturing, and Sustainment (IMMS) | Dy D. Le | University |
Other
| In addition to exploratory and applied research efforts, IMMS is also creating test and evaluation (T&E) capabilities at the former Reese Air Force Base to address the United States Department of Defense (U.S. DoD) Third Offset Strategy initiative. The plan is to support the basic and applied research efforts, as well as the T&E and development of futuristic autonomous and situation awareness technologies for the U.S. Armed Forces to conduct expeditionary missions in a complex world. These technologies have dual uses and can be adapted for the development of novel occupancy and people counting sensors for residential and commercial applications.
One of envisioned key capabilities is the unique integrated computation, modeling, test and evaluation with built-in data analytics fabrics in virtual environment. This capability is created to provide an effective real-time analysis and mining of the massive amounts of data (Big Data) being autonomously collected and generated. Particularly, TTU IMMS is able to create, test, evaluate, and demonstrate smart and autonomous physical systems (SAPS), which have the following abilities:
a. Aware of their own remaining capabilities and health condition, assess demanded tasks versus available capabilities, self reconfigure or adapt to a particular health condition or situation, capable of self operating autonomously over extended periods of time with minimum or no human assistance or supervision.
b. Perform multiple tasks to include: (1) providing direct feedbacks, (2) conducting self learning, (3) acquiring structured or unstructured information or data, and (3) be able to ingest; digest; extract; prepare; and transform them into a critical and essential asset.
c. Self monitor their own behaviors and self-diagnose their own states in order to quantify, forecast, and prognosticate their future state and system remaining useful capability or longevity.
d. Self inform of what; when; and why it has happened, perform quantitative; qualitative; and introspectively meta-reasoning about their limitations; future decisions; and projected outcomes, and optimize insights into the past and future.
IMMS has approximately 81 years of combined research experience in the fields of: health monitoring, intelligent sensing, sensing fusion and algorithm development, sensor materials development, highly efficient computation in real time, data analytics, and wind turbine sustainment & controls. |
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| | University of Idaho | Vishal Saxena | University |
Other
| Dr. Vishal Saxena is the Micron Endowed Professor and Associate Professor in the Department of Electrical and Computer Engineering at the University of Idaho. His research is in the area of Analog, Mixed-signal, RF/mmWave, and Photonic integrated circuit (IC) and system design.
His interests are in Mixed-signal, RF and Photonic circuit design for indoor localization and detection.
Dr. Saxena received the B. Tech. in Electrical Engineering from the Indian Institute of Technology Madras, India in 2002, and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from Boise State University, Boise, ID, in 2007 and 2010 respectively. In 2010, he joined the electrical and Computer engineering Department, Boise State University, Boise, ID, USA. Since Fall 2016 he is an Associate Professor and Micron Endowed Chair the the ECE department at the University of Idaho. Previously, he was a Senior Design Engineer with Midas Communications (a startup out of IIT Madras) from 2002-2004, and has worked as Analog design intern for Micron (Boise, ID), and Cisco-Lightwire (Allentown, PA). His research interests include high-speed data converters, CMOS photonic interconnects, clock & data recovery circuits, RF/mmWave photonic circuits, post-CMOS electronics, and Neuromorphic integrated circuits.
Dr. Saxena is a member of IEEE, Eta kappa Nu and Tau Beta Phi. He is a recipient of 2015 National Science Foundation CAREER Award, and 2016 Air Force Office of Sponsored Research (AFOSR) Young Investigator (YIP) award. He has served as an Associate Editor for the IEEE Transactions on Circuits and Systems-II: Express Briefs. Currently, he is serving on the steering committee for the IEEE Midwest Symposium on Circuits and Systems, and is active in the Boise section of the IEEE Solid-State Circuits Society (SSCS) chapter as its inaugural Chair. |
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| | University of Texas at San Antonio | Bing Dong | University |
Building Efficiency
| The BEST lab at the University of Texas at San Antonio focuses on social psychological driven energy efficient building controls. Our expertise is on occupancy sensing and its driven advanced HVAC control. |
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| | University of Utah | Ling Zang | University |
Other
| Area of expertise: gas sensor
We have developed organic nanofiber chemiresistive sensors that can detect gas chemicals and volatile organic compounds (VOCs) at both high sensitivity and selectivity. New nanofibers can be designed and synthesized to enable efficient detection of CO2. As CO2 is produced from human exhaled breath and various VOCs are released from skin emanations (e.g., sweating), detecting both CO2 and VOCs will provide precise monitoring of human occupancy in a building.
The high detection sensitivity is due to the large surface area and open porosity of nanofiber materials deposited on a chip substrate, and the high selectivity is owing to the specific surface functionalization of nanofibers that enables binding to specific chemicals. When multiple nanofibers are integrated into an array, the selectivity can be further improved through algorithm processing (pattern recognition). The nanofibers will be fabricated from self-assembly of building block molecules, which can be designed to afford strong, selective binding with target chemicals. |
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| | Washington State University | Subhanshu Gupta | University |
Building Efficiency
| Dr. Subhanshu Gupta received the B.E. degree from the National Institute of Technology, Trichy, India, in 2002, and the M.S. and Ph.D. degrees from the University of Washington, Seattle, WA, USA, in 2006 and 2010, respectively all in Electrical Engineering. From 2011 to 2014, he was a Staff Design Engineer in RFIC/Mixed Signal group at Maxlinear Inc., Irvine where he designed and validated broadband transceivers for cable/satellite systems. From 2015, he has been an Assistant Professor of Electrical Engineering at Washington State University where he is supervising over Systems-on-Chip Lab.
Dr. Gupta has been the recipient of the Analog Devices Outstanding Student Designer Award in 2008 and IEEE RFIC Symposium Best Student Paper Award in 2011. His current research interests include sensor networks with wireless energy-efficient and self-sustainable sensor nodes, precision indoor positioning systems and broadband reconfigurable architectures for wireless and wireline applications. |
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