Data Assessment on the relationship between typical weather data and electricity consumption of academic building in Melaka
Exposure to hot and humid weather conditions will often lead to consuming a vast amount of electricity for cooling. Heating, ventilation, and air conditioning (HVAC) systems are customarily known as the largest consumers of energy in institutions and other facilities which raises the question regard...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-04-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921000810 |
| _version_ | 1831543916750438400 |
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| author | Afiqah Ngah Nasaruddin Boon Tuan Tee Musthafah Mohd Tahir Md Eirfan Safwan Md Jasman |
| author_facet | Afiqah Ngah Nasaruddin Boon Tuan Tee Musthafah Mohd Tahir Md Eirfan Safwan Md Jasman |
| author_sort | Afiqah Ngah Nasaruddin |
| collection | DOAJ |
| description | Exposure to hot and humid weather conditions will often lead to consuming a vast amount of electricity for cooling. Heating, ventilation, and air conditioning (HVAC) systems are customarily known as the largest consumers of energy in institutions and other facilities which raises the question regarding the impact of the weather conditions to the amount energy consumed. The academic building is a perfect example where a constant fixed daily operating characteristic is measured by the hour, aside from the occasional semester break. Therefore, it can be assumed that the daily HVAC services on an academic facility will operate on a fixed schedule each day, having a similar pattern all year round. This article aims to present an analysis on the relationship between typical weather data by implying the test reference year (TRY) and academic building electricity consumption in an academic building located at Durian Tunggal, Melaka. Typical weather data were generated in representing the weather data between 2010 and 2018 using the Finkelstein–Schafer statistic (F-S statistic) in addition to a data set of electricity consumption. Descriptive analysis and correlation matrix analysis were conducted using JASP software for two sets of sample data; Set A and Set B, with data points of 12 and 108, respectively. The result showed an alternate result with a positive correlation between 1)mean temperature-electricity consumption, and 2)mean rainfall-electricity consumption for data Set A, and a negative correlation between 1)mean temperature-electricity consumption and 2)mean rainfall-electricity consumption for data Set B. |
| first_indexed | 2024-12-17T00:59:35Z |
| format | Article |
| id | doaj.art-df6f4ee166b94353a47d16593173b163 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-17T00:59:35Z |
| publishDate | 2021-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-df6f4ee166b94353a47d16593173b1632022-12-21T22:09:31ZengElsevierData in Brief2352-34092021-04-0135106797Data Assessment on the relationship between typical weather data and electricity consumption of academic building in MelakaAfiqah Ngah Nasaruddin0Boon Tuan Tee1Musthafah Mohd Tahir2Md Eirfan Safwan Md Jasman3Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka 76100, Malaysia; Corresponding author.Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka 76100, Malaysia; Centre for Advanced Research on Energy, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka 76100, Malaysia; Corresponding author at: Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka 76100, Malaysia.Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka 76100, MalaysiaFakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka 76100, MalaysiaExposure to hot and humid weather conditions will often lead to consuming a vast amount of electricity for cooling. Heating, ventilation, and air conditioning (HVAC) systems are customarily known as the largest consumers of energy in institutions and other facilities which raises the question regarding the impact of the weather conditions to the amount energy consumed. The academic building is a perfect example where a constant fixed daily operating characteristic is measured by the hour, aside from the occasional semester break. Therefore, it can be assumed that the daily HVAC services on an academic facility will operate on a fixed schedule each day, having a similar pattern all year round. This article aims to present an analysis on the relationship between typical weather data by implying the test reference year (TRY) and academic building electricity consumption in an academic building located at Durian Tunggal, Melaka. Typical weather data were generated in representing the weather data between 2010 and 2018 using the Finkelstein–Schafer statistic (F-S statistic) in addition to a data set of electricity consumption. Descriptive analysis and correlation matrix analysis were conducted using JASP software for two sets of sample data; Set A and Set B, with data points of 12 and 108, respectively. The result showed an alternate result with a positive correlation between 1)mean temperature-electricity consumption, and 2)mean rainfall-electricity consumption for data Set A, and a negative correlation between 1)mean temperature-electricity consumption and 2)mean rainfall-electricity consumption for data Set B.http://www.sciencedirect.com/science/article/pii/S2352340921000810JASP softwareWeather conditionCausal correlationTypical weather data |
| spellingShingle | Afiqah Ngah Nasaruddin Boon Tuan Tee Musthafah Mohd Tahir Md Eirfan Safwan Md Jasman Data Assessment on the relationship between typical weather data and electricity consumption of academic building in Melaka Data in Brief JASP software Weather condition Causal correlation Typical weather data |
| title | Data Assessment on the relationship between typical weather data and electricity consumption of academic building in Melaka |
| title_full | Data Assessment on the relationship between typical weather data and electricity consumption of academic building in Melaka |
| title_fullStr | Data Assessment on the relationship between typical weather data and electricity consumption of academic building in Melaka |
| title_full_unstemmed | Data Assessment on the relationship between typical weather data and electricity consumption of academic building in Melaka |
| title_short | Data Assessment on the relationship between typical weather data and electricity consumption of academic building in Melaka |
| title_sort | data assessment on the relationship between typical weather data and electricity consumption of academic building in melaka |
| topic | JASP software Weather condition Causal correlation Typical weather data |
| url | http://www.sciencedirect.com/science/article/pii/S2352340921000810 |
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