Load profiling of Singapore buildings for peak shaving
This paper carries out load profiling of Singapore housing units and office buildings using bottom-up method for peak load reduction through optimization. Housing units in Singapore are classified according to the number of rooms, ranging from one to five. Average daily, monthly and yearly elec...
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/107081 http://hdl.handle.net/10220/25494 http://dx.doi.org/10.1109/APPEEC.2014.7065998 |
| _version_ | 1826129076851572736 |
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| author | Chuan, Luo Rao, D. M. K. K. Venkateswara Ukil, Abishek |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Chuan, Luo Rao, D. M. K. K. Venkateswara Ukil, Abishek |
| author_sort | Chuan, Luo |
| collection | NTU |
| description | This paper carries out load profiling of Singapore
housing units and office buildings using bottom-up method for
peak load reduction through optimization. Housing units in
Singapore are classified according to the number of rooms,
ranging from one to five. Average daily, monthly and yearly
electrical usage of all these units is obtained. To explore the
strategies for peak load reduction, a mathematical model based on
bottom-up method is created. Statistical data - hourly probability
factors, frequency of daily operations, saturation levels and nominal
wattage of appliances - are gathered for typical Singapore
households, and load profiles are generated. The accuracy of the
bottom-up model is verified by comparing the load data of a
typical three-rooms housing unit in Nanyang Technological University.
Then, the problem of peak load reduction is formulated
into an optimization problem with peak load as cost function
and hourly probability factors of certain appliances as decision
vaiables. Solution to the optimal hourly probability factors is
obtained using genetic algorithm and it is demonstrated through
numerical simulations that about 40% reduction in peak load
can be achieved. Finally, some statistical information on load
estimation for office buildings is presented. |
| first_indexed | 2024-10-01T07:35:11Z |
| format | Conference Paper |
| id | ntu-10356/107081 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:35:11Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/1070812019-12-06T22:24:18Z Load profiling of Singapore buildings for peak shaving Chuan, Luo Rao, D. M. K. K. Venkateswara Ukil, Abishek School of Electrical and Electronic Engineering IEEE PES Asia-Pacific Power & Energy Engg. Conference–APPEEC(6th:2014:Hong Kong) DRNTU::Engineering::Electrical and electronic engineering::Power electronics This paper carries out load profiling of Singapore housing units and office buildings using bottom-up method for peak load reduction through optimization. Housing units in Singapore are classified according to the number of rooms, ranging from one to five. Average daily, monthly and yearly electrical usage of all these units is obtained. To explore the strategies for peak load reduction, a mathematical model based on bottom-up method is created. Statistical data - hourly probability factors, frequency of daily operations, saturation levels and nominal wattage of appliances - are gathered for typical Singapore households, and load profiles are generated. The accuracy of the bottom-up model is verified by comparing the load data of a typical three-rooms housing unit in Nanyang Technological University. Then, the problem of peak load reduction is formulated into an optimization problem with peak load as cost function and hourly probability factors of certain appliances as decision vaiables. Solution to the optimal hourly probability factors is obtained using genetic algorithm and it is demonstrated through numerical simulations that about 40% reduction in peak load can be achieved. Finally, some statistical information on load estimation for office buildings is presented. Accepted version 2015-05-11T04:44:54Z 2019-12-06T22:24:18Z 2015-05-11T04:44:54Z 2019-12-06T22:24:18Z 2014 2014 Conference Paper Chuan, L., Rao, D. M. K. K. V., & Ukil, A. (2014). Load profiling of Singapore buildings for peak shaving. IEEE PES Asia-Pacific Power & Energy Engg. Conference–APPEEC(6th:2014:Hong Kong), 1-6. https://hdl.handle.net/10356/107081 http://hdl.handle.net/10220/25494 http://dx.doi.org/10.1109/APPEEC.2014.7065998 en © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [Article DOI: http://dx.doi.org/10.1109/APPEEC.2014.7065998]. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Power electronics Chuan, Luo Rao, D. M. K. K. Venkateswara Ukil, Abishek Load profiling of Singapore buildings for peak shaving |
| title | Load profiling of Singapore buildings for peak shaving |
| title_full | Load profiling of Singapore buildings for peak shaving |
| title_fullStr | Load profiling of Singapore buildings for peak shaving |
| title_full_unstemmed | Load profiling of Singapore buildings for peak shaving |
| title_short | Load profiling of Singapore buildings for peak shaving |
| title_sort | load profiling of singapore buildings for peak shaving |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Power electronics |
| url | https://hdl.handle.net/10356/107081 http://hdl.handle.net/10220/25494 http://dx.doi.org/10.1109/APPEEC.2014.7065998 |
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