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Title: Integration of OpenADR with Node-RED for Demand Response Load Control Using Internet of Things Approach

Authors:
; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE) - Office of Vehicle Technology
OSTI Identifier:
1396271
DOE Contract Number:
AC02-06CH11357
Resource Type:
Conference
Resource Relation:
Journal Volume: 1; Conference: 2017 SAE World Congress Experience, 04/04/17 - 04/06/17, Detroit, MI, US
Country of Publication:
United States
Language:
English
Subject:
Demand Response; Internet of Things; IoT; Load Control; Node-RED; Node.js; OpenADR; VEN; VTN

Citation Formats

Aggarwal, Piyush, Chen, Bo, and Harper, Jason. Integration of OpenADR with Node-RED for Demand Response Load Control Using Internet of Things Approach. United States: N. p., 2017. Web. doi:10.4271/2017-01-1702.
Aggarwal, Piyush, Chen, Bo, & Harper, Jason. Integration of OpenADR with Node-RED for Demand Response Load Control Using Internet of Things Approach. United States. doi:10.4271/2017-01-1702.
Aggarwal, Piyush, Chen, Bo, and Harper, Jason. Tue . "Integration of OpenADR with Node-RED for Demand Response Load Control Using Internet of Things Approach". United States. doi:10.4271/2017-01-1702.
@article{osti_1396271,
title = {Integration of OpenADR with Node-RED for Demand Response Load Control Using Internet of Things Approach},
author = {Aggarwal, Piyush and Chen, Bo and Harper, Jason},
abstractNote = {},
doi = {10.4271/2017-01-1702},
journal = {},
number = ,
volume = 1,
place = {United States},
year = {Tue Apr 04 00:00:00 EDT 2017},
month = {Tue Apr 04 00:00:00 EDT 2017}
}

Conference:
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  • Open Automated Demand Response (OpenADR), an XML-based information exchange model, is used to facilitate continuous price-responsive operation and demand response participation for large commercial buildings in New York who are subject to the default day-ahead hourly pricing. We summarize the existing demand response programs in New York and discuss OpenADR communication, prioritization of demand response signals, and control methods. Building energy simulation models are developed and field tests are conducted to evaluate continuous energy management and demand response capabilities of two commercial buildings in New York City. Preliminary results reveal that providing machine-readable prices to commercial buildings can facilitate bothmore » demand response participation and continuous energy cost savings. Hence, efforts should be made to develop more sophisticated algorithms for building control systems to minimize customer's utility bill based on price and reliability information from the electricity grid.« less
  • The so-called Internet of Things concept has captured much attention recently as ordinary devices are connected to the Internet for monitoring and control purposes. One enabling technology is the proliferation of low-cost, single board computers with built-in network interfaces. Some of these are capable of hosting full-fledged operating systems that provide rich programming environments. Taken together, these features enable inexpensive solutions for even traditional tasks such as the one presented here for electrical power monitoring and outage reporting.
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