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| Content Provider | Springer Nature Link |
|---|---|
| Author | Jung, Dae kyo Lee, Donghwan Park, Seunghee |
| Copyright Year | 2014 |
| Abstract | During the last decade, global interest according to energy efficiency and climate change has dramatically increased. In particular, the building sector plays an important role, as it accounts for significant percentages of total energy consumption. So numerous high energy efficiency devices have been developed and applied to building. But it is also important that such high energy efficiency equipment is operated through efficient management. In this paper, through establishing a Building Energy Management System (BEMS) in the test-beds, the energy consumption and environmental data are measured and gathered at a total operation center. The proposed energy saving technologies would integrate real-time energy consumption monitoring with Building Energy Information Modeling (BEIM). To find an optimal energy-saving method, a building energy simulation was used with Genetic Algorithms. The Heating Ventilating and Air-Conditioning (HVAC) control schedules were sought. The energy-saving effect of this method is about 9.44%. HVAC control schedules can be applied to building, using a function to control facilities in buildings. This energy-saving effect will be added to the general saving effects for BEMS. It is expected that the proposed energy optimization tool using BEIM will be applied to the micro-energy grid system for smart city in the near future. |
| Starting Page | 1717 |
| Ending Page | 1724 |
| Page Count | 8 |
| File Format | |
| ISSN | 22347593 |
| Journal | International Journal of Precision Engineering and Manufacturing |
| Volume Number | 15 |
| Issue Number | 8 |
| e-ISSN | 20054602 |
| Language | English |
| Publisher | Korean Society for Precision Engineering |
| Publisher Date | 2014-08-08 |
| Publisher Place | Springer |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Building Energy Information Modeling (BEIM) Building Energy Management System (BEMS) Genetic algorithm Micro-energy grid Smart city Industrial and Production Engineering Materials Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Mechanical Engineering Electrical and Electronic Engineering |
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