overview of openadr may 4, 2011 integrating demand response, efficiency, renewables and smart grid...
TRANSCRIPT
Overview of OpenADR
May 4, 2011
Integrating Demand Response, Efficiency, Renewables and Smart Grid
Sila KiliccoteDeputy, Demand Response Research Center
Environmental Energy Technologies Division
Lawrence Berkeley National Laboratory
Overview of the Presentation
Overview of the Research at Demand Response Research Center
Overview of Automated Demand Response and Open Automated Demand Response (OpenADR) specification
Results from Key Implementations and Pilots Conclusion
DRRC’s Original Vision Statement - 2004
• Efficiency and demand response fully integrated under a unified default tariff / incentive structure.
Demand Response, like Efficiency a condition of service.
All customers, all load participates.
1
Major appliances come “DR Ready” from the factory.
All buildings are “DR Enabled” .2
Full automated system integration between your generator, distributor and customers.
3
Initial Research2002
Initial Research2002
Automated Demand
Response
Automated Demand
Response
Technical StrategiesTechnical Strategies Case StudiesCase Studies
RelatedPricing and Behavior
RelatedPricing and Behavior
Expanded Research 2003-
2006
Expanded Research 2003-
2006
Commercialization2006-2009
Commercialization2006-2009
Seattle City Light2008-2009
Seattle City Light2008-2009
Initiate StandardsDonate to
OASIS, UCAIug 2007
Initiate StandardsDonate to
OASIS, UCAIug 2007
NiST 2009NiST 2009
CAISO• Demo Lab•Participating Load Pilots
CAISO• Demo Lab•Participating Load Pilots
Case StudiesIndustrial, Ag,
Water
Case StudiesIndustrial, Ag,
Water
Open Source DR Automation 2009
Open Source DR Automation 2009
Small C/I AutoDR SCE 2009
Small C/I AutoDR SCE 2009
PCT Radio Coverage 2008
PCT Radio Coverage 2008
Pre-Cooling2003-2009
Pre-Cooling2003-2009
Dimmable Lighting
2006-2009
Dimmable Lighting
2006-2009
DR at UC Campus
2008-2009
DR at UC Campus
2008-2009
Refrigerated Warehouses, Wastewater
Refrigerated Warehouses, Wastewater
Industrial Controls
Industrial Controls
Bell Carter Green Energy Mgmt.
2008-2010
Bell Carter Green Energy Mgmt.
2008-2010
DR for Data Centers
DR for Data Centers
Behavior • TOU 2007• CPP Small C/I
Behavior • TOU 2007• CPP Small C/I
DR Decision, Information, Control
2008-2010
DR Decision, Information, Control
2008-2010
Open Source DR Automation
Server 2009
Open Source DR Automation
Server 2009
AutoDR Price Mapping Demo
2009
AutoDR Price Mapping Demo
2009
AutoDR Dynamic Pricing 2009
AutoDR Dynamic Pricing 2009
Integrated Audits
Integrated Audits
Wireless Protocol OpenADR 2009
Wireless Protocol OpenADR 2009
ZigBee Harmonization
2009
ZigBee Harmonization
2009
DR Pricing / Rates Scoping
2006
DR Pricing / Rates Scoping
2006
DR Rates 2008
DR Rates 2008
DRRC Research Portfolio
DR and Ancillary Services
Regulation Pilot
DR and Ancillary Services
Regulation Pilot
Renewables and DR
Renewables and DR
OpenADR AllianceOpenADR Alliance
DR Quick Assessment Tool
DR Quick Assessment Tool
http://drrc.lbl.gov
Emphasize Open Data Models for DR Price and Reliability SignalsEmphasize Open Data Models for DR Price and Reliability Signals
DRRC Research Focus on OpenADR
AutomationAutomation
Open Data Models
Open Data Models
Price and Reliability
Signals
Price and Reliability
Signals
Allows DR to be a dispatchable resource Improves DR reliability, predictability, and value Increases customer participation and reduces
response cost
Simplify and reduce cost of DR Creates interoperability among customer
systems Creates interoperability between wholesale
and retail systems
Allows customers to choose level of response and how to enable DR strategies
Provides ability to embed automation in customer control systems.
6
Commercial and Industrial CustomersCommercial and Industrial Customers
Alt Communication
Customer Group
Residential – Small Commercial CustomersResidential – Small Commercial Customers
Customer
Auto-DR System Architecture – Possible Integration with Residential
DRRC Research Focus on OpenADR
Customer Group
7
Data ModelsData Models
• OpenADR• Smart Energy Profile 1.0• Smart Energy Profile 2.0• CIM• 61850
Physical Communications
Physical Communications
• WiFi 802.11x• Ethernet 802.3• ZigBee / Zwave 802.15.4• Home Plug Powerline
Control StrategiesControl
Strategies
• Air Conditioner Control• Lighting – dimming• Refrigerator – delay defrost• Building Controls• Storage
Many Methods for Integrating Pricing, Communications and Control to Automate Demand Response
Many Methods for Integrating Pricing, Communications and Control to Automate Demand Response
DRRC Research Focus on OpenADR
OpenADR included among the original NIST 16 Smart Grid Standards.
Time Price0:00 0.06$ 1:00 0.06$ 2:00 0.06$ 3:00 0.06$ 4:00 0.06$ 5:00 0.06$ 6:00 0.06$ 7:00 0.08$ 8:00 0.08$ 9:00 0.08$ 10:00 0.10$ 11:00 0.10$ 12:00 0.10$ 13:00 0.12$ 14:00 0.12$ 15:00 0.12$ 16:00 0.12$ 17:00 0.22$ 18:00 0.22$ 19:00 0.14$ 20:00 0.14$ 21:00 0.12$ 22:00 0.10$ 23:00 0.10$
Price Tier Price
Low $0.00 - $0.06
Medium $0.06 - $0.11
High $0.11 - $0.18
Critical > $0.18
Price Schedule to Price Tier Mapping
Start End Price Tier
0:00 6:59 Low
7:00 12:59 Medium
13:00 16:59 High
17:00 18:59 Critical
19:00 21:59 High
22:00 23:59 Medium
Utility Rate Schedule
TOU with CPP
Example of Price Mapping to Hourly Prices and Tiers
DRRC Research – Dynamic Price Mapping
9
Rationalizing OpenADR to Other Industry Standards
Utility Infrastructure
Commercial and Industrial Facilities
Small Commercial and Residential Facilities
OpenADRThird Party
Intermediaries61850
SEP
OpenADR is the only existing open data model to bridge communications between utility and control systems in commercial and industrial facilities.
OpenADR “Price Mapping Demonstration Project” will extend DR capability into small commercial and residential.
DRRC Research – In Process
OpenADR Results - Price ResponseOpenADR Results - Price Response
DRRC Research – Results in California
Utilities, Aggregators, and ISOs
Research Organizations
Testing, Certification, & Alliances
Technology Integrators
Control and Technology
Industrial
Commercial & Industrial
Commercial
Small Commercial and Residential
SMT Test_1, 3/3/2009 (Min OAT: 43 °F)
0
1000
2000
3000
4000
5000
6000
0:0
0
1:0
0
2:0
0
3:0
0
4:0
0
5:0
0
6:0
0
7:0
0
8:0
0
9:0
0
10
:00
11
:00
12
:00
13
:00
14
:00
15
:00
16
:00
17
:00
18
:00
19
:00
20
:00
21
:00
22
:00
23
:00
Wh
ole
Bu
ildin
g P
ow
er
[kW
]
Actual Baseline (OAT Regression) 3/10 Baseline
Moderate Price
High Price
Winter and Summer DR in SeattleWinter and Summer DR in Seattle
DRRC Research - Results
Seattle Municipal Tower, 9/11/2009 (Max OAT: 83 °F)
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
0:00
1:00
2:00
3:00
4:00
5:00
6:00
7:00
8:00
9:00
10:0
0
11:0
0
12:0
0
13:0
0
14:0
0
15:0
0
16:0
0
17:0
0
18:0
0
19:0
0
20:0
0
21:0
0
22:0
0
23:0
0
Who
le B
uild
ing
Pow
er [
kW]
Actual Baseline 3/10 BL
Test Period
0%
5%
10%
15%
20%
25%
McKinstry Target - T1284* Seattle MunicipalTower
Seattle University
Sites
Dem
and
Sh
ed (
%)
0%
5%
10%
15%
20%
25%
McKinstry Target - T1284* Seattle MunicipalTower
Seattle University
Sites
Dem
and
Sh
ed (
%)
HE 15:00 HE 16:00 HE 17:00 HE 18:00
0.002 / 0.006 20/72 80/86 40/51 30/49
Forecasted vs. Actual Average Hourly Shed (kW)
Forecasted vs Actual Ramp Time
(MW/ min)
DRRC Research - Results
OpenADR Results – CAISO Participating Load ResponseOpenADR Results – CAISO Participating Load Response
-100
-50
0
50
100
150
0:0
5
0:4
5
1:2
5
2:0
5
2:4
5
3:2
5
4:0
5
4:4
5
5:2
5
6:0
5
6:4
5
7:2
5
8:0
5
8:4
5
9:2
5
10
:05
10
:45
11
:25
12
:05
12
:45
13
:25
14
:05
14
:45
15
:25
16
:05
16
:45
17
:25
18
:05
18
:45
19
:25
20
:05
20
:45
21
:25
22
:05
22
:45
23
:25
Time of Day
De
ma
nd
(k
W)
Forecasted - Actual Hourly Forecasted Bids
Load as Pseudo GenerationLoad as Pseudo Generation
DRRC Research Lessons Learned
AutomationAutomation
Open Data Models
Open Data Models
Price and Reliability
Signals
Price and Reliability
Signals
Allows DR to be a dispatchable resource (wholesale and retail DR).
Improves DR reliability, predictability, and value (summer / winter ). Increases customer participation and reduces response cost
(transparent retail to wholesale DR conversion).
Simplify and reduce cost of DR (embedded clients).
Creates interoperability among customer systems.
Create interoperability between wholesale and retail systems.
Allows customers to choose level of response and how to enable DR strategies (increases DR response).
Provides ability to embed automation in customer control systems (increases DR reliability, customer participation).