1 / 43

Demand Response (DR) & Energy Efficiency

Demand Response (DR) & Energy Efficiency. "The least expensive kilowatt is the one not used," Joe Desmond, Chairman of CEC. Dennis J. Charlebois, P.E., Ph.D . V.P. Marketing & Technology dcharlebois@yamas.com. Energy Facts (US). US - 2004 – 4.0 Trillion KWh consumed (+2%)

prema
Télécharger la présentation

Demand Response (DR) & Energy Efficiency

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Demand Response (DR) & Energy Efficiency "The least expensive kilowatt is the one not used," Joe Desmond, Chairman of CEC. Dennis J. Charlebois, P.E., Ph.D. V.P. Marketing & Technology dcharlebois@yamas.com

  2. Energy Facts (US) • US - 2004 – 4.0 Trillion KWh consumed (+2%) • 23 Million barrels oil (-17%) • 485 Billion Cu Ft of natural gas (+6%)

  3. Energy Facts (US) • Lighting • 30% of institutional building's energy use • 40% of a school's total energy use • Space heating/cooling • 37% of a typical government building's energy • Government agencies in the United States spend > $10 billion a year – 1/3 goes to waste. • Healthcare organizations spend > $6 billion • K-12 spend > $6 billion — more than is spent on textbooks and computers combined! ENERGY STAR rated schools cost forty cents per square foot less to operate than the average school • Higher Ed ~ $2 billion. Energy management can lower their energy bills by 30% or more US Dept of Energy

  4. Energy Facts (CA) • In Summer 2004 (per CEC report to Senate) • ISO Peak demand records were set 7 times in spite of average weather conditions. • 2004 peak demand was at a level projected for 2006. • Southern California had insufficient reserves on several days • Transmission bottlenecks reduced access to available capacity which was needed to serve demand. • Reliability was at risk due to failure to secure deliverable resources in advance. California Energy Commission

  5. Energy Facts (CA) • Energy Efficiency Successes • In California since 2001 - Energy savings > 1,000 Megawatts (MW) a year • In 2001, CA state office buildings cut energy use by an average of 22%, including a 26% reduction in one month. • California's Department of General Services benchmarked 35 buildings in 2001; 3 achieved Energy Star status • A new state complex in Sacramento, the Capitol Area East End, is expected to save $429,000 annually in energy costs as a result of its sustainable and energy-efficient design and construction. • Many cities, counties and special districts in California reduced energy use in their facilities by at least 15% - ie. City of Poway retrofitted traffic lights with energy-efficient LEDs ~ 71% energy savings US Dept of Energy

  6. Demand vs Supply…situation is likely to get worse in spite of add’l new capacity

  7. 2005 Outlook – CA (ALL)

  8. 2005 Outlook – CA (North)

  9. 2005 Outlook – CA (South)

  10. C.E.C. FORECAST MODELS

  11. 2005 California Energy Outlook • 2005 through 2008 predicted to be “very tight”…large gaps anticipated • Add’l Generation will not fill the gap • Retirements will exacerbate the problem • Transmission capacity is questionable • Bay Area Econ Forum is predicting Power Crisis (2001) • CEC is pushing Demand Response as first line of defense • Additional Risks; • Higher than expected economic growth…higher demand • Higher than expected forced outages. • Lower than expected imports. • Regional “heat storm”. • Reduced hydro resources. • Higher than expected congestion. • Transmission closures due to forest fires. *Sources – California Energy Commission Update Report Feb 2005; BAEF “Lightning Strikes Twice-California Faces Real Risk of Second Energy Crisis – August 2004

  12. 2005 CEC Plans • Ensure load serving entities to forward purchase sufficient resources to maintain reliability. • Augment demand response (DR) programs. • Augment energy efficiency programs. • Ensure successful utility procurement processes. • Accelerate construction of permitted power plants. • Add additional peak generation capacity • Identify and expedite transmission upgrades feasible for 2005. • Emphasize public education and voluntary reduction efforts.

  13. C.E.C. Takes Action with DR • The Demand Response Research Center (LBNL/Purdue Joint Venture) • Research on how to do Demand Response • Covers technologies, policies, programs, strategies and practices • Price response scenarios are modeled • time-of-use rates • dynamic pricing • demand bidding programs

  14. Two Types of DR • “Call-Type” Programs • Participants commit load reductions • Penalties if commitments not met • Rebates to customer for shed loads at peak • Comprehensive Baseline for each customer is needed • “Quote-Type” Programs • Participation is voluntary • Customers decide day-to-day on what they will/won’t do • No penalties • Dynamic Pricing is essentially a quote type DR

  15. Why is DR Important? • Helps avoid rolling blackouts • Customers can capture preferred energy pricing • Reduces environmental impact • Helps offset generation retirements • Helps offset generation shortfalls • Helps offset transmission overload

  16. How is DR Accomplished? • Manual Demand Response – Light Switches & HOA’s • Labor intensive • Requires human intervention • Moderate overall impact • Semi-Automated – Existing Building Automation Systems • Preprogrammed responses • Requires human intervention • Relies on availability

  17. How is DR Accomplished? • Fully Automated – BAS & Energy Management Information System • No human intervention • Signal dependent • Reliable outcome • Measurable & Verifiable

  18. Demand Response – Methodology

  19. Predicted Savings - Sample

  20. Real Savings – GSA Oakland Regression Model Power [kW] Actual

  21. Issues Affecting DR • Transparency of Energy Costs • Accuracy and availability of data • Telephone/Pager/Email does not fill obligation • Shedding needs to be obligated • Grid operator requires reliability from DR participants • Ramifications need to be understood • User must understand all load opportunities and historical consumption profiles • Tools required to analyze portfolio • Focus on least intrusive impact to building occupants

  22. Issues Affecting DR • Connectivity to Energy Consuming Equipment • Human intervention minimized • Signal must link to response • Sophisticated Decision Making • Automation is essential • Rules-Engine needed to drive response(s) • Multiple scenarios need to be mapped and tested under varying conditions

  23. Issues Affecting DR • Measurability and Verifiability • Need to be able to verify curtailment obligation (for financial settlement) • M&V tools can normalize data for Weather and Billing Period • Integration of Unlike Systems/Equipment • DR Strategies must incorporate multiple vendors • Anywhere, Anytime Access is needed • Web-Enabled/LAN accessibility • Real-time systems availability

  24. Preparation for DR • OBJECTIVES – Readiness, Responsiveness, Minimal Impact • Evaluate readiness of complete Portfolio of County Bldgs • Understanding the facility(ies) and what is available to be involved in the program • Quantify Demand Response Capabilities • Manual vs Automatic • Identify Energy Conservation Measures • Evaluate & Prepare Financial Indicators – IRR, ROI, etc • One-time & Recurring costs • Savings (Reduced consumption, Rebate programs) • Comprehensive Application Plan • Turnkey Automated Response to STAGE 1,2,3 Alerts

  25. Demand Response – LBNL Study • Motivations for Demand Response • Improve grid reliability • Flatter system load shape • Lower wholesale and retail electricity costs • Method • Provide fictitious dynamic XML-based electric prices with 15-minute notification • Program building EMCS & EIS to receive signals & respond • Document building shed using EMCS & metered data California Energy Commission's Public Interest Energy Research (PIER)

  26. Existing DR Programs in CA

  27. Long Term Benefits • Proactive & Instantaneous response to Alerts & Pricing signals • Demonstrated leadership by early adopters • Reduced County energy costs • Energy Costs • Long Term Cost of Ownership • Favorable Environmental Impact • Measurable and Verifiable Results for all to see • The tools to deliver Continuous Improvement

  28. Space Setpoint Changes CHW/CDW/SAT Temp Reset Occupancy Control Demand Control Ventilation CO Control (garages) VAV/VFD fan speed control Optimal Start/Stop Equipment Sequencing (ie. chillers) Cooling Tower Control (fans) Night Ventilation Economizer/Free Cooling Lighting controls (time) Dimming controls Occupancy Sensors Lighting sweeps Load Shedding/Load Rolling Demand Peak limiting Thermal Storage Distributed Generation Co-Generation Lighting Retrofits/Upgrades HVAC/BAS Recommissioning Utility Rate Optimization Energy Conservation Examples Accomplished through DR

  29. Next Steps for DR • Findings (forthcoming report: dr.lbl.gov) • Demonstrated feasibility of fully automated shedding • XML and related technology effective • Next Steps: Evaluate Performance of Current Test Sites • In hot weather • Participation in DR programs • Annual benefits at each site & through enterprise • Beyond Test Sites • What other strategies offer kW savings & minimal impact? • How could automation be scaled up? • What are costs for such technology? • What is statewide savings potential? • What is value of fully automated vs manual DR?

  30. DR Resources • Demand Response Research Center • Forthcoming site http://drrc.lbl.gov • Current CEC Demand Response Sites • Consortium for Electric Reliability Technology Solutions (CERTS) http://certs.lbl.gov • Center for the Study of Energy Markets (CSEM) http:// www.ucei.berkeley.edu/power.html • Demand Response Enabling Technology Development (DRETD) http:// ciee.ucop.edu/dretd

  31. About Us & How We Can Help

  32. Yamas Inc. • Facility Systems & Technical Services • Open, Non-Proprietary Systems Integrator • 52 year old California based Company • National coverage– 13 offices East & West • $60 Million in revenues annually • 400 employees • Significant installed systems base

  33. Yamas Businesses Bldg Systems Building Services • Energy Management • Lighting Control • Electronic Access Control • Alarm Monitoring • Environmental Control • Temperature, Humidity, Pressure • Air Quality • Smoke Control • System Integration (BAS, ERP) • Network Design • System Modernization • System Migration • Preventative Maintenance • Repairs & Replacements • HVAC Diagnostics • Mechanical Maintenance • Help Desk • Training • Recommissioning • Parts Warehouse • Technical Support • Remote Diagnostics • Dispatch Call/Center • Extended Warranty • Network Services Data Services Energy Services • Data Aggregation • Data Trending/Reporting • Database Maintenance • Software Support • Hosted Applications • Field Workforce Automation • Configuration Management • Application Rationalization • Demand Response Programs • Energy Audits • Energy Retrofits • HVAC Retrofits • Financing • LEED • Energy/Utility Analysis • Energy Management

  34. Yamas Locations Serving CA Sacramento San Francisco Oakland Los Angeles Reno Las Vegas

  35. Yamas Customers

  36. How Yamas Can Help • Rationalize BAS Systems • Assessment and migration towards Open Systems • Multiple BAS Vendor Integration • Smart Integration with mech/elect equipment • Recommissioning (Retro-Commissioning) • Improves Environment of Care Comfort Conditions • Reduces Demand Maintenance Costs • Supports JCAHO Continuous Readiness Principles • Uncovers new Energy Conservation possibilities • Positions Facility for Dynamic Pricing

  37. How Yamas Can Help • Enhanced Automation & Control • Capitalizes on Existing Infrastructure • Improves the Potential for Energy Cost Reduction • Other Items • Utility/Consumption Analysis • Conservation Benchmarking • Load Profiling, Trending, Modeling • Optimization of Control Strategies for Real-Time Energy Pricing • Training & Education • EMS Application/Software Analysis • Configuration Management

  38. Yamas Uses VES To Enable DR

  39. Eliminates Manual Intervention • Meets reliability obligation • Delivers the Appropriate Information • The tools to perform critical analysis • Provides Consuming Equipment View • Significantly broadens shed options • Automates Decision Making • Signal can drive curtailment options • Can be Measured and Verified • Demonstrates the curtailment obligation • Offers Access from Anywhere • Allows anytime system fine tuning

  40. Questions & Discussion

More Related