DIADR: Distributed Intelligent Automated Demand Response

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1 DIADR: Distributed Intelligent Automated Demand Response Demonstra6on: April 27, 2011 David Auslander, UC Berkeley

2 2

3 Project Objec6ves Develop demand response methodology that touches nearly all electrical ac6vity in a commercial building Apply this to CITRIS building - Sutardja Dai Hall, Univ. of Calif., Berkeley, office sec6on Reduce peak energy by 30% 3

4 A Synergis6c Partnership UC Berkeley Experience in distributed DR and related technologies Siemens Already a UCB research partner Sutardja Dai Hall has a Siemens energy system Lawrence Berkeley Na6onal Lab (LBNL) Extensive experience in commercial DR CITRIS, I4Energy: Research home 4

5 Two year project Phase 1: Research & Development Func6onal Requirements & Architectural Design BMS Open ADR Integra6on Gateway Development of DR control algorithms Room Level Control Tes6ng * We are here Phase 2: Implementa6on & Valida6on Advanced Automated DR Building Integra6on Enhanced Scale Tes6ng Commercializa6on Plan Building Demonstrator 5

6 Project Overview LBNL Demand Response Automated Server Internet OpenADR Client Weather data Project strategy: 1. Enhance original building control system and metering 2. Audit energy usage 3. Simulate building behavior 4. Develop new central and distributed algorithms 5. Integrate and test Original Control Systems APOGEE BAS Siemens Smart Energy Box Air handlers/ fans Chillers BMS Adapter Energy Simula6on WacStopper 3 rd Party Plug- in Distributed Load Control Gateway 6

7 DR strategies Full automa6on Apogee Wacstopper One Gateway: laptops, computer/ups, printer, refrigerator, space heater/fan. Many Gateways Manual control User preferences for computer, printer, HVAC, lights. Feedback/encourage manual control: Room and task lights Temperature seeng Close windows Whole bdg meter HVAC & ligh6ng Metered plugloads of one office Zoned ligh6ng control All plugloads audited Es6mated bdg occupancy More occupants Becer feedback Increasing data granularity All plugloads metered Occupancy map 7

8 Sutardja Dai Hall 141,000 sf, occupied in 2009 Research Building Office space Light labs Nanofabrica6on Lab More like an industrial facility Not included in this project Level 1 u6lity space 8

9 Central loads: HVAC System Hea6ng from campus central steam plant (co- genera6on facility) Chilled water cooling Two chillers: Steam absorp6on chiller Vapor compression chiller Each can take on full load Steam is normally used in summer when steam demand on campus is low 9

10 Central loads: Ligh6ng System WacStopper system controls lights in common areas; manual control in individual areas (with discrete dimming) Not originally connected to building energy management system We re adding connec6on via SEB Looking at alterna6ves for individual spaces 10

11 Distributed loads Smart office test lab Gateway Get info from SEB Nego6ates strategies Typical appliances Laptop Desktop computers with UPS + bacery Laser printer Task light Space heater/portable fan Small refrigerator Metered with ACME and Raritan plug monitor/relays 11

12 Building Energy Management System Enhancements Extensive expansion in metering (more coming) Smart Energy Box (SEB) provides communica6on with outside world (including DR server), distributed gateways, original building control systems Home for advanced algorithms 12

13 Building Energy- Use Simula6on Based on EnergyPlus Verifica6on from extended metering infrastructure Mostly acceptable verifica6on but work con6nuing Simula6on used for DR algorithm development 13

14 Commercial Energy Gateway (CEG) Provides for control of distributed loads plug loads and, possibly, local ligh6ng Interface to occupants via Web Browser Interface to Simple Monitoring and Actua6on Profile (smap) and StreamFS Informa6on, command, and nego6a6on communica6on with Smart Energy Box Ac6vates local storage (bacery) units 14

15 Thanks To (Synergis6c Projects and En66es) Siemens Building Technology Division UCB LoCal Project LBNL Simula6on and DR Exper6se UCB Residen6al Energy Gateway Project 15

16 Ques6ons? Acknowledgement This material is based upon work supported by the Department of Energy under Award Number DE- EE 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 informa6on, 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 cons6tute or imply its endorsement, recommenda6on, 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. 16

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