NDLI: Model Development and Identification for Fast Demand Response in Commercial HVAC Systems

Content Provider	IEEE Xplore Digital Library
Author	Goddard, G. Klose, J. Backhaus, S.
Copyright Year	2010
Abstract	Large commercial HVAC systems are attractive targets for fast demand response (DR) applications, e.g., integrating time-intermittent renewable generation. By leveraging the communications in the building automation system (BAS) already present in most buildings, large commercial HVAC systems provide easier access to a large controllable resource than aggregating a large number of small residential loads. However, large commercial HVAC systems are complex with many variables, many end point controllers, and several internal control loops that interact with each other. In addition, the existing fleet of large commercial buildings is diverse with many different HVAC configurations and BAS architectures. Capturing these buildings as DR resources requires a method to greatly reduce the complexity of the HVAC DR control and is general and flexible enough that it can be easily deployed across the diverse fleet of existing buildings. We create such a DR control by developing a system model that uses a single state variable instead of the several hundred variables in a commercial HVAC system. The model includes a small number of system parameters, and we demonstrate how their values can be determined via system identification measurements. Finally, we test our model on a large commercial HVAC system to investigate its control performance.
Starting Page	2084
Ending Page	2092
Page Count	9
File Size	898180
File Format	PDF
ISSN	19493053
Volume Number	5
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Water heating Ducts Aerospace electronics Thermostats Fans Demand response (DR)
Content Type	Text
Resource Type	Article
Subject	Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems

Dynamic Demand Response Controller Based on Real-Time Retail Price for Residential Buildings

Energy Management for Households With Solar Assisted Thermal Load Considering Renewable Energy and Price Uncertainty

Optimal Price Based Demand Response of HVAC Systems in Commercial Buildings Considering Peak Load Reduction

Real-Time Demand Response Through Aggregate Electric Water Heaters for Load Shifting and Balancing Wind Generation

Modeling of Electric Water Heaters for Demand Response: A Baseline PDE Model

Microcomputer instrumentation to reduce residential energy use

Hardware Demonstration of a Home Energy Management System for Demand Response Applications

Occupancy Prediction Algorithms for Thermostat Control Systems Using Mobile Devices

Model Development and Identification for Fast Demand Response in Commercial HVAC Systems

Similar Documents

Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems

Dynamic Demand Response Controller Based on Real-Time Retail Price for Residential Buildings

Energy Management for Households With Solar Assisted Thermal Load Considering Renewable Energy and Price Uncertainty

Optimal Price Based Demand Response of HVAC Systems in Commercial Buildings Considering Peak Load Reduction

Real-Time Demand Response Through Aggregate Electric Water Heaters for Load Shifting and Balancing Wind Generation

Modeling of Electric Water Heaters for Demand Response: A Baseline PDE Model

Microcomputer instrumentation to reduce residential energy use

Hardware Demonstration of a Home Energy Management System for Demand Response Applications

Occupancy Prediction Algorithms for Thermostat Control Systems Using Mobile Devices

Model Development and Identification for Fast Demand Response in Commercial HVAC Systems