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- Publisher Website: 10.1109/BigData.2018.8622530
- Scopus: eid_2-s2.0-85062598965
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Conference Paper: Optimization of Urban Heating Network Design Using Genetic Algorithm
Title | Optimization of Urban Heating Network Design Using Genetic Algorithm |
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Authors | |
Keywords | design District Heating Network Genetic Algorithm optimization |
Issue Date | 2018 |
Publisher | IEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1802964 |
Citation | 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 10-13 December 2018, p. 4484-4487 How to Cite? |
Abstract | As the main energy source is coal burning, district heating in Northern China is an important driver of air pollution. Optimization of the performance of District Heating Network (DHN) carries both social and economic benefits. This study proposes an approach for optimizing urban heating network design based on Genetic Algorithm. Our case study shows that DHN can meet the users' requirements and achieve minimum cost in parallel. |
Persistent Identifier | http://hdl.handle.net/10722/278329 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Wang, A | - |
dc.contributor.author | Li, VOK | - |
dc.contributor.author | Lam, JCK | - |
dc.date.accessioned | 2019-10-04T08:11:54Z | - |
dc.date.available | 2019-10-04T08:11:54Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 10-13 December 2018, p. 4484-4487 | - |
dc.identifier.isbn | 978-1-5386-5036-3 | - |
dc.identifier.uri | http://hdl.handle.net/10722/278329 | - |
dc.description.abstract | As the main energy source is coal burning, district heating in Northern China is an important driver of air pollution. Optimization of the performance of District Heating Network (DHN) carries both social and economic benefits. This study proposes an approach for optimizing urban heating network design based on Genetic Algorithm. Our case study shows that DHN can meet the users' requirements and achieve minimum cost in parallel. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1802964 | - |
dc.relation.ispartof | IEEE International Conference on Big Data (Big Data) | - |
dc.rights | IEEE International Conference on Big Data (Big Data). Copyright © IEEE. | - |
dc.subject | design | - |
dc.subject | District Heating Network | - |
dc.subject | Genetic Algorithm | - |
dc.subject | optimization | - |
dc.title | Optimization of Urban Heating Network Design Using Genetic Algorithm | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Li, VOK: vli@eee.hku.hk | - |
dc.identifier.email | Lam, JCK: jacquelinelam@hku.hk | - |
dc.identifier.authority | Li, VOK=rp00150 | - |
dc.identifier.authority | Lam, JCK=rp00864 | - |
dc.identifier.doi | 10.1109/BigData.2018.8622530 | - |
dc.identifier.scopus | eid_2-s2.0-85062598965 | - |
dc.identifier.hkuros | 306531 | - |
dc.identifier.spage | 4484 | - |
dc.identifier.epage | 4487 | - |
dc.publisher.place | United States | - |