EPI International Journal of Engineering

The Assessment of Indoor Thermal Comfort Of University Classrooms in Hot and Humid Area

Rahmi Andarini, Muhammad Dzaky Al-Haidar, Vincentius Rayza Lee — Sun, 23 Feb 2025 12:57:10 +0000

Thermal comfort is a description of the mental satisfaction experienced by humans regarding the temperature conditions in the surrounding environment. Appropriate thermal comfort conditions will have a positive influence on the occupant such as increasing productivity. This research was carried out to determine the level of thermal comfort in classrooms of the Universitas Multimedia Nusantara. There are two methods applied in this study, firstly by measuring indoor air quality parameters, and the second method is by surveying the occupants' acceptance of the indoor air condition. The measurement of indoor air parameters consists of two different methods, those are by installing Internet of Things monitoring systems, and manual measurement. There were 2 classrooms and 1 student lounge surveyed, and the measured parameters were indoor air temperature and relative humidity. The results of the measurements show that the average indoor air temperature of the conditioned classrooms was 26^OC and the average temperature of the student lounge during unconditioned was 29^OC. With the same condition, the measured relative humidity in the classrooms was found at 55% and the student lounge was at 70%. Regarding the thermal comfort condition, 68% of occupants of Student Lounge felt just comfortable,17% felt very comfortable and 15% felt uncomfortable. The opinion regarding this choice is affected by the sitting position of the respondents. At the classrooms D1509 and D1510, 64% of the respondents felt just comfortable, 28% felt very comfortable, 8% felt uncomfortable, which means that the majority of the respondents felt comfortable.

Computational Fluid Dynamic Analysis on Double-Type Drying Machine Design

Waleed -, Mona Nur Moulia, Athoillah Azadi — Wed, 16 Apr 2025 06:51:42 +0000

The design of a double-type dryer with tray and rotary will be designed to be able to dry chips and grains commodities in one time process for energy and time-saving. In the designing process, Computational Fluid Dynamic (CFD) simulation is used to analyze the distribution of hot air and minimize failures in the design. The purpose of this study was to determine the pattern of hot air flow distribution and determine the best design of the drying machine. The parameters used in the CFD input have a temperature of 60 ^oC, air velocity 1 m/s, and a pressure 1.01325 bar with a constant time. This study used 2 treatments, namely the outlet position parameter (A) with dimension 60 mm x 60 mm and the number of holes in the bulkhead between the tray and rotary have the gap type (L) with dimension 540 mm x 70 mm with a total of 21 treatments. This research begins with pre-processing for made geometry and boundary condition input, next is solver process with average iterations 298 with 36 s interval, and the last is post-processing for having air contour. The results showed that the best treatment based on temperature pattern is the A2L1L2 treatment, with the output A2 and 2 limiting gaps, on gaps 1 and 2. This treatment had an average temperature distribution of 56.69 ^oC, deviation 3,55^oC, air velocity 1.57 m/s, and turbulence 0.021 m/s.

Evaluation of Articulated CAT 745 Fuel Ratio Based on Haul Road Geometry at PT Hillconjaya Sakti Site PT Adhi Kartiko Pratama Tbk

Aryanti Virtanti Anas, Wahyuni S, Rini Novrianti Sutardjo Tui, Rizki Amalia — Wed, 16 Apr 2025 13:25:59 +0000

The distance for transporting overburden at PT Hillconjaya Sakti reaches hundreds of meters. Based on actual conditions, Articulated CAT 745 queues often occur on certain haul road segments due to unsuitable haul road conditions so the fuel ratio value is in the low performance category. The purpose of this study is to evaluate the fuel ratio value and provide recommendations for improving the geometry of haul roads to meet the established fuel ratio value standards. Multiple linear regression analysis using Eviews 12 VS was used to determine the variables that significantly affect the fuel consumption of hauler based on haul road geometry. Road grade, total resistance, travel time and speed of the hauler are independent variables, while fuel consumption is the dependent variable. Based on the results of data processing, a fuel ratio value of 1.85 was obtained and the parameters that had a significant effect on fuel consumption were total resistance and travel time. Improvement of haul road conditions based on ESDM Decree No. 1827 K/30/MEM/2018 and AASHTO Manual Rural High Way Design. The fuel ratio value after repairs decreased to 0.60 and was in the best performance category based on PT Hillconjaya Sakti's standard fuel ratio value.

Preliminary Design and Energy Production of a Mobile Floating Structure (MFS) for Offshore Wind Turbines in Indonesian Waters

Tue, 22 Apr 2025 11:09:42 +0000

The Mobile Floating Structure (MFS) is an innovative floating wind turbine concept that utilizes a catamaran hull design to enhance mobility and operational efficiency. Unlike stationary platforms, the MFS can relocate to areas with higher wind energy density, making it a promising solution for optimizing wind energy harvesting in offshore environments. This study focuses on the preliminary design and energy production of the MFS. Maxsurf is used to analyze hydrostatics and assess the hydrodynamic performance of the MFS hull after the dimension of the MFS is determine with key considerations including rotor diameter and the weight of the wind turbine. Furthermore, four wind turbines are installed in the MFS. Those aspect were integrated into the design process to ensure realistic operational adaptability. As result. the resulting dimensions of the MFS were determined utilizing Maxsurf. Moreover, different with the previous study that use satellite data, the present study employs reanalysis data to estimate the energy density and power production of MFS. the energy density map is also produced in the present study to determine the monthly location of the MFS. The energy production of the MFS with four turbines has been calculated, and the energy production map is also drawn. Finally, the energy production of the MFS in the chosen location has also been estimated. The energy production map can be utilized to develop MFS in other location.