Please use this identifier to cite or link to this item:
https://doi.org/10.1109/PEDES.2018.8707803
DC Field | Value | |
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dc.title | Building Energy Management System for Transactive Energy Framework | |
dc.contributor.author | Rohit Chandra | |
dc.contributor.author | Soumen Banerjee | |
dc.contributor.author | PANDA,SANJIB KUMAR | |
dc.date.accessioned | 2020-11-16T03:57:13Z | |
dc.date.available | 2020-11-16T03:57:13Z | |
dc.date.issued | 2019-05-09 | |
dc.identifier.citation | Rohit Chandra, Soumen Banerjee, PANDA,SANJIB KUMAR (2019-05-09). Building Energy Management System for Transactive Energy Framework. 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Chennai, India : 1-6. ScholarBank@NUS Repository. https://doi.org/10.1109/PEDES.2018.8707803 | |
dc.identifier.isbn | 9781538693162 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/183440 | |
dc.description.abstract | A novel Building Energy Management System (BEMS) based on Transactive Energy (TE) principles is presented which schedules the household appliances according to applicable time-of-use (TOU) prices, expected distributed energy resource generation, and user preferences for economy. The appliances in households are divided into four categories: uncontrolled (such as refrigerators, lights), deferrable (like washing machine, rice cooker, etc), controlled (such as air-conditioning), and energy storage devices. Mathematical models are presented for electricity usage for each type of appliance, and their operation constraints. The proposed BEMS minimizes the cost of electricity used along with minimizing the virtual costs (i.e. maximize usage value of electricity) associated with ageing of storage devices, thermal discomfort and waiting for services of different deferrable appliances. The problem is formed as a non-linear constrained optimization problem which is solved using a hybrid gradient descent algorithm. Simulations results are presented in MATLAB for different user preferences to verify the efficacy of the proposed algorithm. Proposed BEMS can also be utilized for estimating demand response (DR) from the consumer for given change in TOU prices. | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.subject | Demand Response, Transactive control, Smart Buildings, BEMS | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL AND COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/PEDES.2018.8707803 | |
dc.description.sourcetitle | 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Chennai, India | |
dc.description.page | 1-6 | |
dc.published.state | Published | |
dc.grant.fundingagency | National Research Foundation | |
Appears in Collections: | Staff Publications Elements Students Publications |
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File | Description | Size | Format | Access Settings | Version | |
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BEMS_paper_For_SBB.pdf | Manuscript | 6.22 MB | Adobe PDF | OPEN | Post-print | View/Download |
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