Commercial

A Distributed Intelligent Automated Demand Response Building Management System at Sutardja Dai Hall at UC Berkeley

Project Status: 
Current

This project develops and demonstrates an automated Demand Response management system for UC Berkeley’s CITRIS building to achieve peak demand reduction while maintaining the building as a healthy, productive, and comfortable environment for the building occupants. The Siemens Apogee Building Management System with OpenADR will be implemented. Optimization and control algorithms for demand management will be developed that take into account a multitude of factors that affect cost: comfort, HVAC, lighting, and other building systems, climate, and usage/occupancy patterns. These factors will be examined from the perspective of vastly increased potential for sensing and instrumentation via low-cost wireless communications.

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Advanced Demand Responsive Lighting

Project Status: 
Current

Evaluate advanced lighting controls for demand response applications.

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Collaborative Project with CANmet, NRC.

Project Status: 
Current
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Demand Response Quick Assessment Tool (DRQAT) - Collaborative Project with National Resources Canada

Project Status: 
Current

DRQAT has been expanded to include advanced thermal storage system such as ice-storage, and additional demand response control strategies. This project also added prototypical commercial buildings in Canada along with Canada's national weather data and utility rates.

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Demand Shed Strategy Assessment Tools – Small and Large Commercial

Project Status: 
Current

Physical building models can enhance our understanding of building energy use, peak demand and assist in estimating the DR potential in commercial buildings, especially pre-cooling as a DR strategy. Entering building geometry and equipment information into the current energy simulation tools is time consuming and tedious. Demand Response Quick Assessment Tool was developed as an alternative and provides simplified building models and pre-determined building systems to evaluate the effectiveness of pre-cooling strategies without going through a detailed simulation exercise, but merely allowing the users to change a few important parameters. This project supports the further development of the DRQAT tool for evaluating demand reduction and cost saving in large commercial buildings as well as its use in actual field tests for both developing DR strategies and revisions of the tool.

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Additional Contacts

Jim Braun, Purdue, Small Commercial

Demand Shifting With Thermal Mass (Pre-Cooling)

Project Status: 
Current
Date Range: 
2004 to Present

The purpose of the "Demand Shifting with Thermal Mass" research project is to perform evaluation of the viability of shifting the electric usage of buildings by making adjustments in thermostat set temperatures. By pre-cooling the building during off-peak hours and allowing the building temperatures to rise within the comfort range in the on-peak hours, there is a real potential for shifting the buildings electric energy usage. This project involves small-scale evaluation of both small and large commercial buildings to address technical potential and customer acceptance. This project's key aspects include:

  • Evaluation of implementation requirements and obstacles to assess technology readiness;
  • Use of field results and energy simulations to evaluate demand-shifting potential for a limited number of building types and locations selected to provide the best indication of the wider potential of the commercial building stock, and;
  • Use of limited customer focus groups and surveys to evaluate customer acceptance of the demand-response strategies.

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Quantitative Analyses for Forecasting and Evaluation of Hourly Electric Load Variations in Commercial Buildings

Project Status: 
Current

The goal of this project is to develop methods to evaluate load shapes in commercial buildings. The study discusses and compares current methods of summarizing and analyzing electric load shapes. Simple rules of thumb for graphical display of load shapes are suggested. We propose a set of parameters that can be used to describe quantitatively the load shape in many buildings. Using the example of a linear regression model to predict load shape from time and temperature, we show how quantities such as the load’s sensitivity to outdoor temperature, and the effectiveness of demand response (DR), can be quantified. Examples are presented using real building data.

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Statewide Automated Demand Response – IOUs and ISO

Project Status: 
Current
Date Range: 
2006 to present

This project supports collaboration with PG&E, SCE, SDG&E and the ISO to demonstrate OpenADR statewide. Key project goals include:

  • To support the investor-owned utilities for their deployment
  • To provide technical support to PG&E with their pilots (Participating Load and Small commercial)
  • To explore OpenADR opportunities with SMUD
  • To collect and compile State-wide OpenADR Experience
  • To develop case studies

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Using Dimmable Lighting for Regulation Capacity and Spinning Reserves in the Ancillary Services Market

Project Status: 
Current

The objective of this study was to identify the potential of dimmable lighting for providing regulation capacity and contingency reserves if massively-deployed throughout the State. We found that one half of the total electric lighting load in the California commercial sector is bottled up in larger buildings that are greater an 50,000 square feet. Retrofitting large California buildings with dimmable lighting to enable fast DR lighting would require an investment of about $1.8 billion and a “fleet” of about 56 million dimming ballasts. By upgrading the existing installed base of lighting and controls (primarily in large commercial facilities) a substantial amount of ancillary services could be provided. Though not widely deployed, today’s state-of-the art lighting systems, control systems and communication networks could be used for this application. The same lighting control equipment that is appropriate for fast DR is also appropriate for achieving energy efficiency with lighting on a daily basis. Thus fast DR can leverage the capabilities that are provided by a conventional dimming lighting control system. If dimmable lighting were massively deployed throughout large California buildings (because mandated by law, for example) dimmable lighting could realistically supply 380 MW of non-spinning reserve, 47% of the total non-spinning reserves needed in 2007.

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AutoDR Commercialization and Implementation Plan Scoping Study

Project Status: 
Completed
Date Range: 
Completed in 2007

This scoping study lays the foundation the implementation of PG&E's automated demand response pilot program during the summer of 2007 (15 MW of Critical Peak Pricing [CPP] demand response).

Additional Contacts

Greg Wikler, Global Energy Partners