Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/103102
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building Environment and Energy Engineering | - |
| dc.creator | Chen, Y | en_US |
| dc.creator | Luo, Y | en_US |
| dc.creator | Yang, H | en_US |
| dc.date.accessioned | 2023-11-28T03:27:06Z | - |
| dc.date.available | 2023-11-28T03:27:06Z | - |
| dc.identifier.issn | 2374-4731 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/103102 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Taylor & Francis | en_US |
| dc.rights | © 2016 ASHRAE | en_US |
| dc.rights | This is an Accepted Manuscript of an article published by Taylor & Francis in Science and Technology for the Built Environment on 11 Aug 2016 (published online), available at: http://www.tandfonline.com/10.1080/23744731.2016.1198188. | en_US |
| dc.title | An optimization method for design and operation of combined cooling, heating, and power systems toward a smart grid | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.description.otherinformation | Title on author’s file: An optimization method for design and operation of combined cooling, heating and power (CCHP) systems towards a smart grid | en_US |
| dc.identifier.spage | 766 | en_US |
| dc.identifier.epage | 782 | en_US |
| dc.identifier.volume | 22 | en_US |
| dc.identifier.issue | 6 | en_US |
| dc.identifier.doi | 10.1080/23744731.2016.1198188 | en_US |
| dcterms.abstract | Combined cooling, heating, and power systems are regarded as efficient, reliable, and environmentally friendly technologies for energy utilization. Besides, smart grid is an intelligent electricity delivering system, bringing benefits to utilities and consumers as well as improving the energy efficiency and reliability on the grid. The combination of the two provides a promising energy solution for future distributed energy systems. An optimization method was proposed for the design and operation of combined cooling, heating, and power systems toward a smart grid. The program enables optimization of components’ sizing, biogas, and electricity on hourly demand. Hence, the program contributes to the smart grid demand side response. A sewage treatment plant in Hong Kong was selected for the case study because of its need for simultaneous heating, cooling, and power from self-generated biogas. The simulation was conducted under different sizing criteria and biogas prices. The combined cooling, heating, and power system can avoid dependency on utilities if the peak-load-sizing is adopted. For sewage treatment plants, it is more economically attractive to adopt a larger system. The optimized strategy revealed that the combined cooling, heating, and power should be operated longer at full load when biogas price is cheap and should be operated at part load, simply to satisfy the heating load, when biogas is expensive. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Science and technology for the built environment, 2016, v. 22, no. 6, p. 766-782 | en_US |
| dcterms.isPartOf | Science and technology for the built environment | en_US |
| dcterms.issued | 2016 | - |
| dc.identifier.scopus | 2-s2.0-84981534917 | - |
| dc.identifier.eissn | 2374-474X | en_US |
| dc.description.validate | 202311 bckw | - |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | BEEE-0764 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | Drainage Services Department of the Hong Kong SAR Government; The Hong Kong Polytechnic University | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 6666789 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Yang_Optimization_Method_Design.pdf | Pre-Published version | 1.44 MB | Adobe PDF | View/Open |
Page views
60
Citations as of Apr 14, 2025
Downloads
51
Citations as of Apr 14, 2025
SCOPUSTM
Citations
7
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
7
Citations as of Oct 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



