Jessica Granderson

Building Energy Information Systems: State of the Technology and User Case Studies

LBNL-2899E ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY Building Energy Information Systems: State of the Technology and User Case Studies Jessica Granderson, Mary Ann Piette, Girish Ghatikar, Phillip Price Environmental Energy Technologies Division November 2009

Small- and Medium-Sized Commercial Building Monitoring and Controls Needs: A Scoping Study

Buildings consume over 40% of the total energy consumption in the U.S. A significant portion of the energy consumed in buildings is wasted because of the lack of controls or the inability to use existing building automation systems (BASs) properly. Much of the waste occurs because of our inability to manage and controls buildings efficiently. Over 90% of the buildings are either small-size ( 100,000 sf). Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL) and Pacific Northwest National Laboratory (PNNL) were asked by the U.S. Department of Energy’s (DOE’s) Building Technologies Program (BTP) to identify monitoring and control needs for small- and medium-sized commercial buildings and recommend possible solutions. This study documents the needs and solutions for small- and medium-sized buildings.

Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response

An energy information system that acquires and aggregates information from various sensors within buildings is presented. The role of a building information system in reducing building energy consumption as well as in providing demand response, is explored, and case studies of real use are presented.

Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing

LBNL-XXXXX Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing Philip N Price, Ph.D., Jessica Granderson, Ph.D., Michael Sohn, Ph.D. Nathan Addy David Jump, Ph.D., P.E. Environmental Energy Technology Division September, 2013

Assessment of Automated Measurement and Verification (M&V) Methods

This report documents the application of a general statistical methodology to assess the accuracy of baseline energy models, focusing on its application to Measurement and Verification (M&V) of whole-building energy savings.

Green, Clean, & Mean: Pushing the Energy Envelope in Tech Industry Buildings

Author(s): Mills, Evan; Granderson, Jessica; Chan, Rengie; Diamond, Richard; Haves, Philip; Nordman, Bruce; Mathew, Paul; Piette, Mary Ann; Robinson, Gerald; Selkowitz, Stephen | Abstract: When it comes to innovation in energy and building performance, one can expect leading-edge activity from the technology sector. As front-line innovators in design, materials science, and information management, developing and operating high-performance buildings is a natural extension of their core business. The energy choices made by technology companies have broad importance given their influence on society at large as well as the extent of their own energy footprint. Microsoft, for example, has approximately 250 facilities around the world (30 million square feet of floor area), with significant aggregate energy use of approximately 4 million kilowatt-hours per day (Figure 1).

DETECTION OF CHILLER ENERGY EFFICIENCY FAULTS USING EXPECTATION MAXIMIZATION

To detect degradation in energy efficiency of a chiller in a chiller plant, a multivariate Gaussian mixture model is applied. This classification technique was selected to take advantage of an expected correlation between measurable state variables and equipment and operation specifications and system control targets. The hidden variable is the faultiness of the chiller and can take on one of three possible states. The five observed variables correspond to sensor measurements that are typically available and monitored in commercially available chiller plants. The fault detection algorithm is trained on simulated data for the Molecular Foundry at the Lawrence Berkeley National Laboratory and tested on measured sensor data. The results show that detection of severe faults and no faults are relatively accurate, while detection of moderate faults is sometimes mistaken for severe faults. The computation needs are moderate enough for deployment and continuous energy monitoring. Future research outlines the next steps in regards to sensitivity analyses with alternate probability density functions.Copyright

Packaged scalable energy information systems for hotels

Purpose Building energy information systems (EIS) are performance monitoring software, data acquisition hardware and communication systems used to store, analyze and display building energy data. Some

Corporate Delivery of a Global Smart Buildings Program

60bn are spent annually on wasted energy in the US buildings, and actions taken based on EIS data can enable operational energy savings of approximately 10 per cent in the US commercial sector (approximately two quads of primary energy). However, EIS adoption is low because of various technical and market challenges. This paper aims to provide technical specifications for standardized EIS packages that can help overcome barriers and accelerate scale. Design/methodology/approach A five-step approach was followed: identifying business drivers as key determinants for hotel sector-specific packages; addressing heterogeneity to develop standardized, tiered packages; determining performance metrics for key stakeholders; recommending streamlined data architecture; and developing visualization enabling insights and actions. Findings Technical specifications for two tiers (entry and advanced) of EIS packages for hotels have been developed. EIS vendor, integrator and client organization’s facilities and IT staff have been considered as key stakeholders. Findings from six field demonstrations show benefits of cost-effectiveness, through reduced transactional, first and operational costs, scalability, by accommodating heterogeneity across the building sub-sector, simplicity, by integrating meters, gateways and software in the package and actionability in organizations, across various decision-making levels. Originality/value Building owners and operators can use these specifications to ease procurement and installation of EIS in their facilities. EIS software vendors can use them to develop new product offerings for underserved sectors.

Unlocking Energy Efficiency in Small Commercial Buildings through Mechanical Contractors

ABSTRACTBuildings account for about 40 percent of the total energy consumption in the U.S. and emit approximately one third of greenhouse gas emissions. But they also offer tremendous potential for achieving significant greenhouse gas reductions with the right savings strategies. With an increasing amount of data from buildings and advanced computational and analytical abilities, buildings can be made “smart” to optimize energy consumption and occupant comfort. Smart buildings are often characterized as having a high degree of data and system integration, connectivity and control, as well as the advanced use of data analytics. These “smarts” can enable up to 10–20% savings in a building, and help ensure that they persist over time.In 2009, Microsoft Corporation launched the Energy-Smart Buildings (ESB) program with a vision to improve building operations services, security and accessibility in services, and new tenant applications and services that improve productivity and optimize energy use. The ESB pro...