MSI is a mosque located in Universiti Tun Hussein Onn Malaysia and known as Masjid Sultan Ibrahim. The mosques are considered unique compared to other types of buildings as they exhibit an intermittent operation schedule. This study aims to discover potential saving and provide solutions to achieve cost saving of Masjid Sultan Ibrahim of UTHM. Four potential saving methods were proposed later in this study, which include the installation of sensors, replacement of LED lamp, placement of reminder sign, and human control respectively. Result was found that about 64% of electrical energy was used on ACMV system, 35% on lighting system and the rest were general equipment. From calculation, the monthly electrical energy consumption of Masjid Sultan Ibrahim was near to 36MWh. With the proposed potential saving measures, Masjid Sultan Ibrahim is estimated to reduce the usage of electrical energy for about 13% per month. More potential saving could be found in future study if there is designated system that studies the energy consumption trend of the building.
Abstract. In this study, the photostability of wood polymer composites (WPC) was assessed by using ultra-violet accelerated weathering test. Meanwhile, the mechanical properties of WPC show strength improvement at prolonged UV irradiation exposure with 43.21 MPa and maximum strain of 4.08 % at 5000 hours and 1000 hours UV irradiation exposure respectively. The colour stability of WPC was improved by addition of Ultraviolet (UV) stabilizer during pre-mixing process which shows positive effect on the colour stability and prevented chalking of the composites for external use. Generally, discolourations of WPC during test exposure were caused by degradation of both wood and plastic. Therefore, incorporation with pigments and other additives gives improvement to the photostability of WPC. This is based on the increment of WPCs mechanical property while the morphological fracture surface of dumbbell test specimens revealed the pull out rice husk fiber which contributed to the distribution of load in the WPC samples.
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