Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/102937
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Building Environment and Energy Engineering | en_US |
| dc.creator | Li, H | en_US |
| dc.creator | Wang, S | en_US |
| dc.creator | Cheung, H | en_US |
| dc.date.accessioned | 2023-11-17T02:58:54Z | - |
| dc.date.available | 2023-11-17T02:58:54Z | - |
| dc.identifier.issn | 0306-2619 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/102937 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_US |
| dc.rights | © 2018 Elsevier Ltd. All rights reserved. | en_US |
| dc.rights | © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
| dc.rights | The following publication Li, H., Wang, S., & Cheung, H. (2018). Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions. Applied Energy, 228, 1280-1291 is available at https://doi.org/10.1016/j.apenergy.2018.07.023. | en_US |
| dc.subject | Design optimization | en_US |
| dc.subject | Energy efficiency | en_US |
| dc.subject | Sensitivity analysis | en_US |
| dc.subject | Subtropical region | en_US |
| dc.subject | Zero/low energy building | en_US |
| dc.title | Sensitivity analysis of design parameters and optimal design for zero/low energy buildings in subtropical regions | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 1280 | en_US |
| dc.identifier.epage | 1291 | en_US |
| dc.identifier.volume | 228 | en_US |
| dc.identifier.doi | 10.1016/j.apenergy.2018.07.023 | en_US |
| dcterms.abstract | To reduce building energy use and mitigate CO2 emissions, zero/low energy buildings have attracted increasing attention. However, the impacts of the main design parameters and optimal design for zero/low energy buildings only provided with cooling in subtropical regions are seldom studied, and the objectives for building performance assessment and design optimization in such particular situations are not addressed sufficiently. In this study, the impacts of the main design parameters and optimal design for zero/low energy buildings in subtropical regions are studied. A holistic approach integrating sensitivity analysis and design optimization is developed for zero/low energy buildings. A new optimization objective is proposed, which considers annual energy consumption and winter thermal discomfort, for buildings without heating provision. A multi-stage sensitivity analysis approach is proposed to identify the key design parameters for design optimization. The key building design parameters are optimized to minimize the optimization objective using the genetic algorithm. A case study is conducted, using the zero carbon building (ZCB) in Hong Kong as a reference building, to illustrate the implementation steps and effectiveness of the proposed approach. This paper presents the identification of the key influential design parameters in the subtropical climate and the design optimization method of zero/low energy buildings as well as the procedures and the results of the case study. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Applied energy, 15 Oct. 2018, v. 228, p. 1280-1291 | en_US |
| dcterms.isPartOf | Applied energy | en_US |
| dcterms.issued | 2018-10-15 | - |
| dc.identifier.scopus | 2-s2.0-85049605082 | - |
| dc.identifier.eissn | 1872-9118 | en_US |
| dc.description.validate | 202310 bckw | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | BEEE-0568 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | The Hong Kong Polytechnic University | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 38616126 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Li_Sensitivity_Analysis_Design.pdf | Pre-Published version | 1.2 MB | Adobe PDF | View/Open |
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