Development of a model for generating air-conditioner operation schedules in Malaysia

Zaki, Sheikh Ahmad; Hagishima, Aya; Fukami, Ryosuke; Fadhilah, Nur

doi:10.1016/j.buildenv.2017.06.023

Cited by 36 publications

(16 citation statements)

References 13 publications

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“…A summary of the datasets used for statistical analysis is shown in Table 1. Note that the datasets are different from those in our previous studies [8,9]. The data in Japan was recorded in 586 dwellings in Osaka (34 o 41′N, 135 o 30′E).…”

Section: Summary Of the Measurementmentioning

confidence: 84%

Statistical analysis of air conditioning peak loads of multiple dwellings

Ono

Hagishima²,

Tanimoto

et al. 2019

E3S Web Conf.

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Evaluation of the aggregated air-conditioning load of multiple dwellings is important for demand response through the optimum control of numerous air-conditioners (A/Cs), for development of smart-city or smart-community technologies. However, past studies have mainly focused on the characteristics of A/C load in a single household. With this background, the authors conducted statistical analysis of time-series data for A/C electricity consumption in 489 dwellings in Osaka, Japan, and 20 dwellings in Kuala Lumpur, Malaysia to grasp the feature of aggregated A/C load of multiple dwellings. The findings of this analysis are followings: 1) the aggregated A/C load peak per dwelling decreased by almost 50% as the number of dwellings increased from 1 to 10, due to the offset of the diverse time-patterns of A/C load. 2) The occurrence of the top 2.5% A/C load shows strong time and date dependency for an A/C load aggregated by many dwellings:

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Section: Summary Of the Measurementmentioning

confidence: 84%

Statistical analysis of air conditioning peak loads of multiple dwellings

Ono

Hagishima²,

Tanimoto

et al. 2019

E3S Web Conf.

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“…Thus, the proper and efficient use of AC systems that realizes comfort and healthy indoor environment as well as reduces energy consumption is strongly needed. However, according to previous studies that had conducted in Malaysia, the pre-set temperatures of AC for space cooling in dwellings [6,16], offices [2,9], and educational classroom [17] are much lower than values recommended by Malaysian governments. In dwellings, most of the AC used for sleeping purpose [6,10,16].…”

Section: Introductionmentioning

confidence: 90%

Field Survey of Thermal Comfort and Sleep Quality in the Bedrooms with Different Cooling Strategies in Malaysia

Sadzli

Zaki

Rijal

et al. 2019

KSS

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This study aims to determine the indoor comfort temperature before sleep and after wake up in air-conditioning (AC) mode with different adaptive cooling strategies. Two units of guest rooms on the university campus were used with a total of 20 participants. The arbitrary-controlled AC setting (case 1) and control of thermostat setting by 3∘C higher than case 1 with installing of cool bed padding (case 2) were employed as cooling strategies in this study. The measurement parameters were indoor and outdoor air temperatures, globe temperature, relative humidity, air velocity, and AC electricity consumption. The questionnaire survey has also been distributed twice a day for “before going to bed” and “after waking up” during measurement simultaneously. It was observed that thermal sensation vote (TSV) indicated for both cases were within -1 ≤ TSV ≤ 1 and respondents might accept the present condition for both cases. Mean thermal preference (TP) in both cases either “before going to bed” and “after waking up” was found mostly close to “0 no change” (0.1 ≤ TP ≤ 0.3) for all cases. Overall comfort (OC) ranged between 4.7 and 4.9 for both cases, indicating for “comfortable.” However, air movement sensation (AMS) shows respondent felt weak airflow inside the room for all ventilation strategies. The skin moisture sensation (SMS) shows value pointed to neutral feeling for all cases. The comfort temperature obtained by Griffiths’ method was approximately 24∘C and 25∘C that for case 1 and case 2, respectively. Meanwhile, most of the respondents experienced calmness during sleeping and satisfied with their sleep in both cases. Sleep efficiency index (SEI) shows case 2 was higher rather than case 1. It seems the second adaptive cooling strategy might effective for reducing AC energy consumption by about 32% and increase 2% of SEI without affecting respondents’ thermal comfort.

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“…One of the reasons for high electricity consumption in the residential area is because of cooling demand due to high indoor air temperature. Research by Zaki et al [2] found that indoor air temperatures in Malaysia dwellings are approximately 22 -31 ∘ C. The maximum temperature is much higher compared to the average comfort room temperature in Malaysia at 24 ∘ C to 26 ∘ C [3]. Due to the high air temperature in the house, occupants in Malaysia use 7.6 hours of air-conditioners per day to release excessive heat in the house to achieve the required thermal comfort level, especially during night time [4].…”

Section: Introductionmentioning

confidence: 99%

“…Also, Zaki et al [2] also reported that air-conditioner was used up to 7 to 9 hours for heavy users during night time. Therefore, it is an urgent task to improve the thermal environment in residential buildings to avoid excessive usage of electricity for space cooling purpose.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Indoor Thermal Environments in a Two-Story Corner Terrace House in Malaysia

Tuck

Zaki

Hagishima

et al. 2019

KSS

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An effective passive cooling strategy is essential for reducing energy consumption in a residential building without ignoring thermal comfort. Therefore, a field measurement on the thermal performance of a corner terrace house in Kuala Lumpur was conducted to reveal the effectiveness of free running (FR) with four different approaches – no ventilation, full ventilation, day ventilation, and night ventilation. The measurement was done for all bedrooms and family area on the first floor. Also, mixed mode (MM) consisting of natural ventilation, mechanical ventilation with ceiling fan, and cooling with an air-conditioner that represents the actual condition of this house was also measured at living and dining area on the ground floor for comparison. The results reveal that FR from all approaches recorded a mean indoor air temperature of approximately 31 ∘C. The actual thermal condition of the house with MM on the ground floor was recorded at 30 ∘C, 1 ∘C lower than FR approach on the first floor. When compared with relevant international standards on predicting indoor comfort temperature based on outdoor temperature, FR was approximately 5 ∘C higher than predicted temperature based on American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) Standard 55 (2017), 3.4 ∘C higher than European Standard EN15251 and 1.5 ∘C higher than adaptive thermal comfort equation (ACE) for hot-humid climate. In comparison, MM performed better and was closer to relevant international standards, especially ACE for the hot-humid climate. As a conclusion, FR is not suitable for a hot-humid climate such as Malaysia to achieve a comfortable indoor thermal environment without any assisted ventilation use in MM.

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Development of a model for generating air-conditioner operation schedules in Malaysia

Cited by 36 publications

References 13 publications

Statistical analysis of air conditioning peak loads of multiple dwellings

Statistical analysis of air conditioning peak loads of multiple dwellings

Field Survey of Thermal Comfort and Sleep Quality in the Bedrooms with Different Cooling Strategies in Malaysia

Investigation of Indoor Thermal Environments in a Two-Story Corner Terrace House in Malaysia

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