Annual energy usage reduction and cost savings of a school: end-use energy analysis.
With the steady economic growth in Malaysia since 2005, energy demand increased at an average rate of 6% annually from 2005 to 2010 . The energy demand in buildings rose steadily in the past decade, despite the fact that the main energy resources such as oil and gas are running low . It was predicted that the global energy consumption will rise by 1.6% annually between 2009 and 2030 . The current state of global energy resource requires efficient energy usage so that the current resources will last until a suitable alternative is discovered . Apart from the direct approach of finding alternative energy sources, an important aspect is managing the current energy supply in a wise and prudent manner. This is determined by looking at the energy efficiency of the buildings, which is determined through an energy audit. In this study, an energy audit will be conducted to determine the energy usage efficiency and potential energy reduction and cost savings for a primary school in Malaysia.
Generally, an energy audit is an exercise that is conducted to study the energy usage of a building or electrical equipment. It is a systematic method to determine how energy is being used in the building. From an energy audit, the total energy being used can be determined, and if required, the energy consumption of different equipment can be determined as well .
It is also possible to simulate the implementation of potential energy conservation measures that will improve the energy utilization in a particular building. An energy audit can also predict the possible energy savings and cost reductions from the efficient usage of energy . Additional motivation towards the study of energy audits is emphasized after various governments around the world are starting to set standards of energy usage to increase the implementation of energy efficient buildings . There are three types of energy audits that are usually implemented: preliminary audit, targeted energy audit, and detailed grade audit . Generally, the technique that is to be used is determined by the complexity and the conditions of the intended energy analysis. For a preliminary audit, a mathematical model to predict the possible potential energy savings and cost reduction is deemed sufficient. A mathematical model to calculate the annual energy consumption was used to simulate some similar conditions to this research.
A few energy audit studies on schools have been conducted in many countries, which is indicative of interest in this topic around the globe. An energy audit was conducted by Alajmi  on an educational building in a hot climate country, the State of Kuwait. Although the heating, ventilation, and air conditioning (HVAC) system consumes the most energy within that building (87%), a similar energy audit technique was used where they gathered the information regarding its initial usage and compared it with the potential energy reduction that can be made. Several recommendations were made for energy conservation opportunities, which were categorized into nonretrofitting (no cost) and retrofitting (with cost). The research found that 6.5% of energy can be saved from the nonretrofitting recommendations, which are mainly changes in the schedule of the lighting and equipment usages. It was also shown that, by changing the type of lighting, it will enable them to save a further 2.3% of their energy usage. Ultimately, 52% of energy can be saved if all of the recommendations are implemented, including energy conservation opportunities that require additional costs.
Another study by Dall'O and Sarto was conducted on 49 school complexes consisting of 77 buildings for various usages . The research was done in two phases, where the first phase aimed to gather data on the energy consumptions. In the second phase, energy conservation measures were proposed for three different scenarios: a standard scenario, a cost-effective scenario, and a high performance scenario. It takes into consideration the issue of the investment required to implement these energy retrofits and also their respective payback periods. It was found that energy savings of 15%, 67%, and 81% are possible from the implementation of these energy conservation measures, respectively. The research concludes that to implement a certain energy retrofit, a variety of factors needs to be considered, as they might be very difficult or not cost-effective in many cases. These factors can vary from the cost of retrofitting comparable to building new buildings, to changes in the number of population. It is also important to highlight that the study by Dall'O and Sarto focuses on the HVAC system of the buildings.
A research was also conducted on 62 buildings under the Serbia Energy Efficient Project, Phase 2, of which 28 were school buildings . Their study focuses only on the heat consumption of the buildings, which is in line with the objective of improving energy efficiency. Although this differs greatly from our research, it is interesting to look at the results of conducting an energy audit and implementing energy efficiency improvements on the buildings. The research showed that they managed to realize an energy consumption reduction of 49% (average energy consumption of 128kWh/[m.sup.2]/year) from the initial consumption of 252 kWh/[m.sup.2]/year.
There were also other studies that used similar methods of finding the potential energy usage reduction from the implementation of energy conservation measures compared to the initial energy consumption, despite the fact that almost all of the studies were either done for schools that were in different climates, or focused on different energy systems such as heating, ventilation, and air-conditioning, which differs from our condition. A study involving energy audit was conducted for 24 schools in Slovenia . This study looks at the heat losses by the school in areas of air and water heating. With high heat losses, more energy will be consumed to replace the heat. The study shows that the heat losses of the school buildings are 89% higher than the recommended values. Another study on high schools in central Italy showed that there are potential energy savings of 46% when implementing some energy conservation measures .
Perez and Capeluto  also conducted a study for school buildings in hot-humid climates. The study uses simulation techniques to identify the potential energy savings and focuses on the thermal energy conservation measures. A high performance design for school buildings shows that there is a potential energy consumption reduction of more than 50%. However, this reported study differs from this study, as the climatic conditions are wildly different. The energy consumption by the schools in Malaysia focuses more on the electrical equipment instead of heating, ventilation, and air conditioning system. At the time of this study, there has yet to be any published work regarding schools with similar conditions to our study.
The aim of this study is to analyze the potential energy usage reductions and cost savings of schools in Malaysia. It covers a preliminary audit, which will indicate whether a more detailed audit is required. In this research, cases with the implementation of energy conservation measures will also be modelled. The author feels that this study is necessary and important to initiate benchmarking for energy consumption in schools, since education is an integral part of the development of a nation. Furthermore, the number of schools in Malaysia, accounting for both primary and secondary, totals up to about 10,101 schools . Thus, the expense can be focused more on the education process instead of its infrastructure. This benchmark, which was previously unavailable, would help the stakeholders of the schools, especially the Ministry of Education, to build better energy efficient schools in the future and instill energy awareness among the pupils.
2. Analysis of Current Energy Usage
This research is conducted in two stages. The first stage involves the analysis of the current energy usage of the school, which is indicative of its efficiency, and whether improvements can be made. Meanwhile, the second stage involves the proposal of several energy conservation measures. This section explains the data collection methods and the mathematical equations used in this study.
2.1. Actual Energy Usage. Tables 1 and 2 show the background information and the electrical equipment that are used in the school. This information will be used to analyze the current usage of energy of the school by calculating the annual energy usage and its intensity.
Table 3 shows the energy usage costs that are obtained from the utility bills for 2011. This actual energy usage will then be compared with the calculated energy requirement of the school. It must also be pointed out that, in the middle of 2011, there was a change in the electricity tariff. From January to April, the electricity tariff was RM 0.397 per kWh. Starting from May, the electricity tariff increased to RM 0.43 per kWh. This electricity tariffs change was noted in the calculations. For this stage of the research, these two terminologies will be used.
(i) Actual energy usage: the electricity usage that was consumed by the school in 2011 based on the utility bills.
(ii) Calculated energy requirement: the electricity usage that should be used by the school under efficient conditions, calculated from the collected information.
A worst case scenario, where the load factor is set to 1, will be used for calculating the calculated electricity requirement.
2.2. Calculating Energy Requirement. Comparing the actual energy consumption with the calculated energy requirement will show whether the energy usage for 2011 was indeed efficient. The efficient energy consumption by the electrical equipment in the school is calculated using the following equation, as used by Saidur et al. :
[AEC.sup.a] = [UH.sup.a] x [C.sup.a] x [LF.sup.a], (1)
where [AEC.sup.a] is the annual energy consumption of equipment a in kWh; [UH.sup.a] the usage hours of the equipment a; [C.sup.a] the capacity or power rating of equipment a, in kW; and LF the loading factor of equipment a. The loading factor for all the electrical equipment was set to 1 to model a worst-case scenario.
The energy intensity explains the efficiency of the school in terms of energy usage per area. The energy intensity was calculated using the following equation, similar to Saidur et al. :
EI = [summation] [AEC/TFA], (2)
where [SIGMA] AEC is the total annual energy consumption of the equipment in the school in kWh; TFA is the total floor area in square meters.
2.3. Results of First Stage Analysis
2.3.1. Usage Hours of Electrical Equipment. The usage hours of the electrical equipment depend on the operating hours of the school. Generally, a school operates from Monday to Friday for teaching and on Saturday for extracurricular activities. In some cases, these extracurricular activities require the students to stay overnight at the school. The school operates 203 days for that school year, with varying operating days. For calculation of the electrical usage, an assumption was made that the usage hours of the electrical equipment follow the operating hours of the school. This will provide us with a worst-case scenario, which, when compared to the actual electricity usage, will show whether the school used its electricity in an efficient manner. Table 4 shows the number of daily operating hours for different areas of the school.
2.3.2. Energy Consumption by Electrical Equipment. The distribution of electricity consumed by the equipment in the school is illustrated in Figure 1. Table 5 shows the details of electricity usage by the top five energy consuming equipment types in the school. It can be observed that the air conditioning system consumes 38% of electricity. The lighting system follows at 22% and fans, at 21%. In any case, the energy conservation measures should focus on this high-electricity consuming equipment in order to give us a better chance at determining potential energy savings.
2.3.3. Comparing Results. From the information being gathered, the actual energy usage and the calculated energy requirement can be compared, as shown in Table 6. It can be observed that the school used 60520.28 kWh, which exceeds its electricity requirements. The required electricity, which was calculated using (1), was found to be 53533.05 kWh. In this study, an assumption was made such that all the electrical equipment is operated at maximum loading factor. The electricity usage was also assumed to follow the listed operating hours. These assumptions overestimated the required electricity usage, but it was still less than the actual amount being used. The school incurred a minimum loss of 11.7% by using more electricity than necessary, at 6998.24 kWh. This amounts to a total bill of RM 294742 for that schooling year.
By improving the energy habits and practices of the users, the school would be able to reduce their energy usage and costs. Some energy usage practices that can be looked into are the habits of users, the operating hours, and the settings for the electrical equipment.
Considering the total energy usage and the total floor area, the energy intensity of the school was also compared in both actual and calculated cases. It can be observed that the actual energy intensity of the school is 50.6 kWh/[m.sup.2], but it could have been 44.8kWh/[m.sup.2]/year, with efficient energy usage practices.
3. Energy Conservation Measures
Energy reduction and cost savings can be further achieved by using energy conservation measures. The second stage of the study focuses on the lighting in the school, as it consumes 22% of the total energy. The energy conservation measures being proposed were based on the requirements of the MS1525:2007 standard for efficient energy nonresidential buildings in Malaysia .
3.1. Lighting System. The areas that consumed the most energy through the lighting system are the classrooms and the corridors. Table 7 shows the illuminance standard for both classrooms and corridors.
The illuminance is affected by the quantity of lamps and their capacity. Using the Lumen method, the required number of lamps and their capacity can be determined from the following equation :
E = (F/A) x CU x LLF, (3)
where E is the illuminance level required at the work surface, in lux; F the total number of lamps times the rated lumens of each lamp, lm; A the total area of the plane where the work is done; CU the coefficient of utilization, per unit; and LLF the light loss factor as a percentage of the rated lamp lumens, per unit. By knowing the illuminance level from (3), we can design an optimal lighting system. From calculations, we found the CU to be 0.68, while for cases where the maintenance plan is unknown, the LLF is set to 0.80 . The factors that contribute to the overall design of the system are the type of light bulb, the quantity, and their arrangements.
Nevertheless, this equation is only accurate for the corridors, as the lights are only used at night, and thus does not take into consideration the daylighting effect. Energy conservation measures for the classroom are therefore proposed to focus on the operating hours instead of the setup of the lighting system. This is to consider measures that do not require any retrofitting cost. The experimental measurements of the illuminance in the classrooms were carried out to determine the best operating hours of the lights. This was done by taking measurements using a lux meter at several points in the concerned area.
Summarizing the lighting system, two energy conservation measures were proposed.
(1) Corridors: redesign the setup of the lighting system--quantity of bulbs, location of the bulbs, and the type of bulbs.
(2) Classrooms: improve the operating conditions of the lights in the classrooms--in terms of operating hours.
3.2. Air Conditioning System. The first stage of the study shows that 38% of the energy is consumed by the air conditioning system, as shown in Figure 1. This is almost double of the next highest energy consuming equipment. Previous studies proved that conducting energy study on HVAC system would be beneficial. Selecting a suitable system for building and operating it correctly has the potential of saving up to 20% of energy. In the case of Lam et al. , they shifted the chiller's load to the night via thermal storage, and up to 25% in the case of Fasiuddin and Budaiwi , where they simulated different HVAC systems while maintaining thermal comfort. Improving the operating settings and control strategies of the HVAC system also showed energy saving potentials. Mathews et al.  simulated several control strategies (air-bypass, reset control, setback control, improved start-stop times, economizer, and C[O.sub.2] control) and found that a potential of energy savings of up to 66% can be achieved. A study by Kwong et al.  on air conditioned tropical buildings in Malaysia showed that raising the setpoint temperature by just 2[degrees]C will result in total savings of 2150 GWh annually, which is equivalent to RM730 million.
This paper will only focus on the lighting system. Nevertheless, it should be pointed out that further energy studies should be carried out specifically on the air conditioning system to further increase energy savings in schools.
4. Energy Saved from Energy Conservation Measures
4.1. Lighting System
4.1.1. Corridors. The current fluorescent lamps used in the corridors have a capacity of 36 W each. From (3), we found that the capacity of the lamps can be reduced to 15 W if the quantity is reduced from 50 pieces to 43 pieces to meet the requirement of 20 lux from the MS1525:2007 standard. The original and proposed lighting system configuration is shown in Table 8.
The new configuration gives a potential energy reduction and cost saving that is presented in Table 9. It can be observed from Table 9 that there is a potential energy reduction and cost saving of 64.6% from the original system. This is an energy reduction of 4459.2 kWh, which will save the school RM1855.20 compared to the original lighting system in the corridors. This is a significant saving, as it is more than half the initial energy consumption.
It can be said that the lighting system of the corridors is significantly overdesigned. By changing to a lower rated light bulb and rearranging the lights, an energy saving of 64.6% can be achieved.
4.1.2. Classrooms. Measurements of the illuminance for six different classes located at the extremities of the school were taken using a lux meter at different time periods that reflects a normal school day. This is to understand the lighting conditions that are experienced in the class throughout its usage. The results of the measurements are presented in Table 10.
It can be observed that most classes would have reached the minimum requirement of 300 lux before 10.00 am. It is safe to assume that, on normal days, the lights in the classes can be switched off beginning from 10.00 am, as it already meet the minimum illuminance requirements from natural daylights.
Table 10 shows that class 6 hardly meets the requirement throughout the day. This is due to the design of the buildings, as the interconnected buildings block the sunlight from going into the class. The building blocking the lights is circled in Figure 2. Therefore, the results of the reading for this class were not used to propose new operating hours. Another study should be done to solve this particular lighting problem.
For the lighting inside the classes, it is proposed that the school changes the operating hours of the lights but maintains the type and design of light bulbs. The newly proposed operating hours are shown in Table 11. It can be observed that the operating hours were reduced to three hours a day, which will increase energy savings.
The potential energy reduction and cost saving for the new operating hours for the lighting systems in the classes were calculated and shown in Table 12. It can be observed that there is a significant reduction of 52.1% in the energy usage of the classes after the lighting system operating hours were changed. The energy usage of the lights in the classes can be reduced by 1030.86 kWh from the initial energy usage of 1978.02 kWh. This results in a cost saving of RM 427.32.
4.2. Combined Energy Usage and Cost Savings. Table 13 shows the summary of the potential energy reduction and cost savings from the improvements in energy usage practices and lighting system. It was found that a potential energy reduction and cost saving of 20.7% can be achieved from better energy practices and the lighting systems alone. This can be translated into an energy reduction of 124873 kWh/year and a cost saving of RM 5230.94/year. The energy reduction will contribute to a reduced energy intensity of 40.19 kWh/[m.sup.2]/year.
4.3. Comparing with Similar Studies. Table 14 shows the results of various energy studies carried out for schools for different conditions around the world. Although each piece of research has its own focus, it can be observed that our results are comparable to researches of similar nature. The energy conservation measure of improving energy usage practices and lighting system operations for our case will result in a potential energy usage reduction of 20.7%. Further studies on improving the efficiency of the air conditioning system in our school might also give comparable results to researches that focused on HVAC systems.
The actual energy used by the school was 60 520.28 kWh, which costs the school a total of RM 25 152.20, resulting in an energy intensity of 50.6kWh/[m.sup.2]/year. It was determined that energy is being wasted via the operation of the electrical equipment in the school. This study showed that 11.6% energy reduction and cost saving can be achieved by implementing efficient energy usage practices. Apart from that, 9.1% energy reduction can also be achieved through the correct design and configuration settings for the lighting systems. Overall, this results in potential energy reduction and cost savings of up to 20.7%. The implementation of the mentioned energy conservation measures would also reduce the energy intensity from 50.8 kWh/[m.sup.2]/year to 40.19 kWh/[m.sup.2]/year, which is a significant achievement. Further energy studies on more schools in the country will provide us with a better understanding of energy usage conditions of schools in this country and open up more opportunities for potential energy savings.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
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Aiman Roslizar, (1) M. A. Alghoul, (2) B. Bakhtyar, (3) Nilofar Asim, (2) and K. Sopian (2)
(1) Mechanical Engineering Faculty, Universiti Teknikal Malaysia Melaka, 76100 Melaka, Malaysia
(2) Solar Energy Research Institute, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia
(3) School of Economy, Finance and Banking (SEFB), Universiti Utara Malaysia (UUM), 06010 Kedah, Malaysia
Correspondence should be addressed to M. A. Alghoul; firstname.lastname@example.org
Received 3 July 2014; Revised 19 August 2014; Accepted 30 September 2014; Published 18 November 2014
Academic Editor: Panagiotis Nastos
TABLE 1: Background information of the school. Name of school Sekolah Rendah Sri Al-Amin Total floor area 1195 [m.sup.2] Number of classrooms 23 TABLE 2: List of electrical equipment in the school. Power rating/equipment Equipment type Quantity Watts (W) A/C1 14 1190 A/C2 1 1250 A/C3 1 1850 Amplifier 1 250 Desktop computer 23 200 Fan 137 75 Fax 1 100 Fridge 3 100 Kettle 2 1850 Lights 191 36 Microwave 1 800 Photocopier 2 1300 Printer 5 120 Pump 1 1 370 Pump 2 1 1500 Rice cooker 1 400 Stand Fan 1 50 TV 2 150 Wall Fan 4 35 TABLE 3: Energy usage from electricity bills. Month Electricity Cost of electricity usage (kWh) usage (RM) Jan. 4685.87 1860.29 Feb. 4870.45 1933.57 March 5116.51 2031.26 April 6202.20 2462.27 May 5732.89 2282.50 June 5044.07 2168.95 July 6584.00 2831.12 August 4596.00 1976.28 Sept. 5939.00 2553.77 Oct. 5205.00 2238.15 Nov. 4141.35 1780.78 Dec. 2402.93 1033.26 Total 60520.28 25152.2 TABLE 4: Number of operating hours for different areas in the school. Type of area Monday- Friday Saturday Overnight Thursday usage usage usage usage hours hours hours hours Main office 8 8 Primary school office 8 8 4.5 Teachers room 8 8 4.5 Treatment room 1 hour every school day Class 6.5 3.5 4.5 11 Directors room 3 hours every school day Library 1 hour every school day Nursery 7.5 4.5 Hall 1 1 Science laboratory 4 Computer room 1 hour every school day Seminar room once a week-2 hours Toilet 9 9 4.5 TABLE 5: Top five energy consuming equipment types. Rank Equipment Electricity Contribution to type usage kWh total energy consumption 1 A/C 20193.94 38% 2 Lights 11768.77 22% 3 Fan 11370.09 21% 4 Computer 4242.20 8% 5 Pump 1593.24 5% 6 Others 4353.8 6% TABLE 6: Actual and calculated electricity usage and cost. Actual Calculated Electricity 60520.28 53522.04 usage (kWh) Cost (RM) 25152.2 22203.78 TABLE 7: Illuminance requirement from MS1525:2007 . Area type Illuminance Corridor 20 lux Classroom 300-500 lux TABLE 8: Lighting system configuration that meets requirements. Equipment Original Calculated Fluorescent lamps 50 pieces of 36W lamps 43 pieces of 15 W lamps TABLE 9: Potential energy reduction and cost savings from the corridors. Electricity Cost RM usage kWh Actual usage 6904.22 2872.94 After ECM 2446.02 1017.74 Reduction 4458.20 1855.20 Reduction 64.6 64.6 Percentage TABLE 10: Average illuminance (lux) in the class rooms at different times of the day. Time of Class room day 1 2 3 4 5 6 9 to 10 386 270 607 404 326 86 11 to 12 380 353 688 362 403 131 1 to 2 684 400 1239 651 645 217 3 to 4 270 297 720 283 263 45 TABLE 11: Suggested operating hours of the lighting system of the classes. Time period Operating hours Total hours Morning 8-10 am 2 hours Afternoon 3-4 pm 1 hour TABLE 12: Potential energy reduction and cost savings from the classes. Energy usage Cost kWh RM Actual usage 1978.02 819.88 After ECM 947.16 392.56 Reduction 1030.86 427.32 Reduction Percentage 52.1 52.1 TABLE 13: Potential energy reduction and cost savings from energy conservation measures. Energy usage Cost kWh RM Actual usage 60520.28 25152.20 Potential (1) Energy usage practices 6998.24 2948.42 reduction (2) Lighting system 5489.06 2282.52 potential reduction Total 12487.3 5230.94 Percentage Reduction Energy usage Cost % % Actual usage -- -- Potential (1) Energy usage practices 11.7 11.7 reduction (2) Lighting system 9.1 9.1 potential reduction Total 20.8 20.8 TABLE 14: Energy usage reduction results for various researches carried out on schools. Researcher Energy usage reduction Alajmi, 2012  8.8% Butala and Novak, 1999  89% Desideri and Proietti, 2002  46% Perez and Capeluto, 2009  50% Santamouris et al., 2007  20% Dimoudi and Kostarela, 2009  13.34% Becker et al., 2007  (1) 28-30% for northern classroom orientations (2) 17-18% for southern classroom orientations Dall'O and Sarto, 2013  (1) Standard scenario, 15% (2) Cost-effective scenario, 67% (3) High performance scenario, 81% Becirovic and Vasic 2013  49% Researcher Focus of energy conservation measures Alajmi, 2012  Nonretrofitting and lighting Butala and Novak, 1999  Heating Desideri and Proietti, 2002  Thermal and electrical Perez and Capeluto, 2009  HVAC and lighting Santamouris et al., 2007  Heating Dimoudi and Kostarela, 2009  Heating and cooling Becker et al., 2007  Passive building designs and ventilation schemes Dall'O and Sarto, 2013  HVAC Becirovic and Vasic 2013  HVAC, motors, passive building design
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|Title Annotation:||Research Article|
|Author:||Roslizar, Aiman; Alghoul, M.A.; Bakhtyar, B.; Asim, Nilofar; Sopian, K.|
|Publication:||The Scientific World Journal|
|Date:||Jan 1, 2014|
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