DIADR project (Sutardja Dai Hall)

DIADR project (Sutardja Dai Hall)
The goal of the Distributed Intelligence Automated Demand Response (DIADR) project is reduce peak electricity demand in Sutardja Dai Hall at UC Berkeley by at least 30% while still maintaining a comfortable, healthy, and productive environment. The project involves faculty and students from UC Berkeley, Siemens, and Lawrence Berkeley National Laboratory in developing an intelligent control strategy for both central load (e.g., HVAC and Lighting) and distributed load (e.g. computers, monitors, printers) to respond to a demand response (DR) event.

Reports:
Functional Requirements and System Architecture
Development of Service Oriented Architecture (Gateway)
Building Management System and OpenADR Integration
Demand Response Algorithm Development
Local Control Testing
Advanced Automated DR Building Integration

Quarterly reports:
July-Sept 2010 quarterly report
Oct-Dec 2010 quarterly report
Jan-Mar 2011 quarterly report
Apr-Jun 2011 quarterly report
Jul-Sep 2011 quarterly report

Other published reports
A Living Laboratory Study in Personalized Automated Lighting Controls (Krioukov et al)
Experiences integrating building data with sMAP (Dawson-Haggerty et al)

April 27, 2011 demonstration
Slide presentations
1-Introduction and Overview
2-OpenADR
3-Smart Energy Box
4-SEB to Gateway Communication
5-Gateway
6-Plugload Audit
7-Data Visualization
8-Load baseline
9-EnergyPlus Model
10-Central load control
11-Distributed load control
12-Building submetering
Youtube video of presentations

Other reports
Baseload Prediction Calculation--draft

Acknowledgement
This material is based upon work supported by the Department of Energy under Award Number DE-EE0003847

Disclaimer
This report was prepared as an account of work sponsored by an agency of the United States Government.  Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.  Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.  The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.