Please use this identifier to cite or link to this item: https://doi.org/10.1109/IECON43393.2020.9254474
DC FieldValue
dc.titleDemonstration of Transactive Control of Commercial Buildings as Energy Nodes
dc.contributor.authorChandra, Rohit
dc.contributor.authorKRISHNANAND KAIPPILLY RADHAKRISHNAN
dc.contributor.authorPANDA,SANJIB KUMAR
dc.contributor.authorHoan Thong
dc.contributor.authorEdwin Goh
dc.contributor.authorCostas J. Spanos
dc.contributor.editorChandra, Rohit
dc.date.accessioned2021-08-02T02:16:52Z
dc.date.available2021-08-02T02:16:52Z
dc.date.issued2020-11-18
dc.identifier.citationChandra, Rohit, KRISHNANAND KAIPPILLY RADHAKRISHNAN, PANDA,SANJIB KUMAR, Hoan Thong, Edwin Goh, Costas J. Spanos (2020-11-18). Demonstration of Transactive Control of Commercial Buildings as Energy Nodes. IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, Singapore : 1968-1973. ScholarBank@NUS Repository. https://doi.org/10.1109/IECON43393.2020.9254474
dc.identifier.isbn9781728154145
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/195617
dc.description.abstractModern buildings have multiple distributed electrical resources (DERs) such as renewable energy sources and energy storage devices, flexible loads, and utility connection. Coupled with smart meters and new energy pricing plans, these physical assets present new opportunities for building operators to save energy, reduce operational costs, avoid carbon emissions and improve occupant comfort. The concept of Energy Nodes is proposed to represent the electrical resources and loads within a building and their electrical interactions, which can be programmed/controlled through software. A scaled-down hardware emulation test-bed representing commercial buildings is developed with commercial DER interfaces, controllable loads and Transactive Energy based Energy Management System to realize a cyber-physical Energy Node. Through studies on this test-bed, it is demonstrated that the proposed energy nodes can automatically act based on building operator’s economy preferences, save electricity bills, and provide Demand Response service by reacting to electricity price signals from the markets.
dc.description.urihttps://ieeexplore.ieee.org/document/9254474
dc.language.isoen
dc.publisherIEEE
dc.subjectTransactive control , Demand Response , Buildings , Smart grid , Nanogrid
dc.typeConference Paper
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.1109/IECON43393.2020.9254474
dc.description.sourcetitleIECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, Singapore
dc.description.page1968-1973
dc.published.statePublished
dc.grant.fundingagencyNational Research Foundation
Appears in Collections:Staff Publications
Elements
Students Publications

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
IECON2020_Energy_Node_final1_A4.pdfManuscript3.19 MBAdobe PDF

OPEN

Post-printView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.