Abstract
A building-integrated photovoltaic blind (BIPB), in which blind and PV system is combined to generate energy in the building exterior and reduce the heating and cooling load in building by shading function. This study aimed to establish the optimal control strategy of BIPB slat angle by considering interior illuminance and electricity generation. First, in terms of interior illuminance considering overall light (i.e., daylight and artificial illumination) and electricity generation from BIPB, it was determined that the optimal blind slat angle is 80° at all time. Second, in terms of interior illuminance considering daylight and electricity generation from BIPB, it was determined that the optimal blind slat angle is 10° (9:00), 20° (10:00–11:00, 14:00–15:00) and 30° (12:00–13:00). Based on results of this study, effective use of BIPB can be induced by providing information for optimal blind slat angle to users that are considering BIPB implementation.
Original language | English |
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Title of host publication | Machine Learning, Optimization, and Big Data - 2nd International Workshop, MOD 2016, Revised Selected Papers |
Editors | Giuseppe Nicosia, Giovanni Giuffrida, Piero Conca, Panos M. Pardalos |
Publisher | Springer Verlag |
Pages | 451-454 |
Number of pages | 4 |
ISBN (Print) | 9783319514680 |
DOIs | |
Publication status | Published - 2016 |
Event | 2nd International Workshop on Machine Learning, Optimization and Big Data, MOD 2016 - Volterra, Italy Duration: 2016 Aug 26 → 2016 Aug 29 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10122 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 2nd International Workshop on Machine Learning, Optimization and Big Data, MOD 2016 |
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Country/Territory | Italy |
City | Volterra |
Period | 16/8/26 → 16/8/29 |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP; Ministry of Science, ICT & Future Planning) (NRF-2015R1A2A1A05001657).
Publisher Copyright:
© Springer International Publishing AG 2016.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)