Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/67195
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Building Services Engineering | - |
dc.creator | Cui, B | - |
dc.creator | Xiao, F | - |
dc.creator | Wang, S | - |
dc.date.accessioned | 2017-05-23T01:54:48Z | - |
dc.date.available | 2017-05-23T01:54:48Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/67195 | - |
dc.description | Applied Energy Symposium and Submit: Renewable Energy Integration with Mini/Microgrid, REM 2016, Maldives, 19-21 April 2016 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). | en_US |
dc.rights | The following publication Cui, B., Xiao, F., & Wang, S. (2016). Optimal design of active cool thermal energy storage concerning life-cycle cost saving for demand management in non-residential building. Energy Procedia, 103, 64-69 is available athttps://dx.doi.org/10.1016/j.egypro.2016.11.250 | en_US |
dc.subject | Active cool thermal energy storage | en_US |
dc.subject | Building demand management | en_US |
dc.subject | Demand management | en_US |
dc.subject | Life-cycle cost saving | en_US |
dc.title | Optimal design of active cool thermal energy storage concerning life-cycle cost saving for demand management in non-residential building | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 64 | - |
dc.identifier.epage | 69 | - |
dc.identifier.volume | 103 | - |
dc.identifier.doi | 10.1016/j.egypro.2016.11.250 | - |
dcterms.abstract | This research provides a method in comprehensive evaluation of cost-saving potential of active cool thermal energy storage (CTES) integrated with HVAC system for demand management in non-residential building. The active storage is beneficial to building demand management by shifting peak demand as well as providing longer duration and larger capacity of demand response (DR). In this research, it is assumed that the active CTES is under control of the fast DR strategy during DR events and storage-priority operation mode to shift peak demand during the normal days. The capacity of active CTES is optimized under the incentives of both modes. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Energy procedia, 2016, v. 103, no. , p. 64-69 | - |
dcterms.isPartOf | Energy procedia | - |
dcterms.issued | 2016 | - |
dc.identifier.scopus | 2-s2.0-85010842164 | - |
dc.identifier.ros | 2016005694 | - |
dc.relation.conference | Applied Energy Symposium and Submit: Renewable Energy Integration with Mini/Microgrid [REM] | - |
dc.identifier.eissn | 1876-6102 | - |
dc.identifier.rosgroupid | 2016005443 | - |
dc.description.ros | 2016-2017 > Academic research: refereed > Publication in refereed journal | - |
dc.description.validate | 201804_a bcma | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Cui_Optimal_Design_Cool.pdf | 287.86 kB | Adobe PDF | View/Open |
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