ASHRAE Journal - November 2011 - B22

Data Elements

Develop Information Model

Information Model
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SPC 201 Information Model

Facility Communications Protocols (e.g., BACnet, CIP ISA100.11a, ZigBee ,

Figure 3: The Facility Smart Grid Information Model will be implemented through modifications to existing facility communication protocols. plications based on the knowledge that certain information will be available when needed. The committee is exploring various automated ways to map the application interface parameters at “run time” to the underlying BACnet objects and properties as they are conﬁgured in a particular building control system. The signiﬁcance of this for smart grid is that application interfaces could be deﬁned based on the FSGIM and BACnet’s built-in application interface features would do the necessary mapping to speciﬁc BACnet objects and properties. Through a combination of existing BACnet object types, application interfaces based on the FSGIM, and, if needed, new BACnet object types, it should be rather straight-forward for BACnet to expand to incorporate the control needs implied by the FSGIM. The BACnet Committee is closely following the progress of SPC 201P and there is some overlap in membership. It is expected that this will facilitate early adoption of the FSGIM model in the BACnet protocol. The path for other protocol speciﬁc adoption of the FSGIM would be similar. The information content of the FSGIM will be mapped to existing protocol constructs where possible. Where the FSGIM deﬁnes information content that has no exact counterpart in the target protocol standard, some type of extension will be needed to accommodate that information exchange. energy proﬁle; controls manufacturers can create products that monitor and manage the facility energy proﬁle; and energy providers can more accurately forecast energy consumption and demand, as well as the reactions to energy supply constraints.

References
1. Constable, G., B. Somerville. 2003. A Century of Innovation: Twenty Engineering Achievements That Transformed Our Lives. National Academy of Engineering. 2. Pub.L. 110-140, Energy Independence and Security Act of 2007, December 19. 3. EIA. 2010. Electric Power Monthly, Table 5.1, August 11. Energy Information Administration. 4. McNamara, S. 2010. Electric Vehicles and the Power Grid. A presentation made to the American Association of State Highway and Transportation Ofﬁcials, Oct. 29. http://tinyurl.com/69gpspq. 5. PJM. 2011. Regional Transmission Organization hourly load data. http://tinyurl.com/6zmd3bu. 6. NIST. 2010. NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 1.0. 7. NIST. NIST Smart Grid Interoperability Panel Collaboration Site, Priority Action Plan 17. http://tinyurl.com/5w2ldff. 8. Energy Information Standards Alliance. 2010. EIS Alliance Customer Domain Use Cases v 3.01. www.eisalliance.org/documents.html. 9. IEC. IEC 61850-7-3, Basic communication structure for substation and feeder equipment, Common Data Classes, International Electrotechnical Commission. 10. Oasis. 2011. WS-Calendar Version 1.0, Committee Speciﬁcation Draft 04/Public Review Draft 03. http://tinyurl.com/5t3w4bj. 11. Oasis. 2011. Energy Market Information Exchange 1.0, Committee Speciﬁcation Draft 02/Public Review Draft 02. http://tinyurl. com/5w7tlzn. 12. NAESB. 2010. NAESB REQ Business Practices and Information Models to Support Priority Action Plan 10—Standardized Energy Usage Information. North American Energy Standards Board. 13. NextGen Network Enabled Weather. 2010. Weather Exchange Model (WXXM). https://wiki.ucar.edu/display/NNEWD/WXXM. 14. ANSI/ASHRAE Standard 135-2010, BACnet: A Data Communication Protocol for Building Automation and Control Networks. November 2011

Conclusion
This collaboration between NEMA and ASHRAE will result in a facility smart grid information model standard that represents the energy consuming, producing, and storage systems found in residential, commercial, and industrial facilities. When industry standard protocols are enhanced to implement this model and the information it represents becomes available in equipment and energy management systems, a facility owner will better be able to understand what factors inﬂuence the facility’s energy consumption; energy consultants can determine how to effectively reduce the energy proﬁle of a facility; architects and engineers can design facilities that optimize the
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B A C n e t ® To d a y & t h e S m a r t G r i d | A S u p p l e m e n t t o A S H R A E J o u r n a l

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ASHRAE Journal - November 2011

Table of Contents for the Digital Edition of ASHRAE Journal - November 2011