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The Influence of External Cooling Load on the Distribution of Temperature and Humidity in Conditioned Spaces Karudin, Arwizet; Sharma, Jai Kumar; Leni, Desmarita; Abbas, Muhammad Rabiu; Adriansyah, Adriansyah
IJIMCE : International Journal of Innovation in Mechanical Construction and Energy Vol. 1 No. 1 (2024): IJIMCE : International Journal of Innovation in Mechanical Construction and Ene
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijimce.v1i1.8

Abstract

Air conditioning is not only important for the comfort of occupants in a building but also for various industrial processes. In the air conditioning process, a device called an Air Conditioner (AC) is required. The AC load can originate from inside the room and from outside the room. This study aims to determine the influence of increased cooling load from outside the room on the distribution of temperature and air humidity inside the conditioned room. The method used in this study involved conditioning four rooms. Two rooms of almost the same size were equipped with two AC units each, while the other two rooms used one AC unit each. Temperature and air humidity data inside the rooms were recorded every 20 minutes, as well as the outside air temperature. Dry bulb thermometer (Tdb) and wet bulb thermometer (Twb) were used to record temperature and humidity data, along with an environmeter. The research data were processed using available equations and with the assistance of a psychrometric chart. The research findings revealed that the average distribution of temperature and air humidity in the meeting room and office headroom of the Pertamina DP-LPG Office in Binjai was 20°C-23°C and 59%-65%. For the distribution office and sales service room of the Pertamina Fuel Filling Terminal in Kisaran, the distribution of temperature and air humidity was 25°C-29°C and 62%-66%. From the test results, it can be concluded that the distribution of temperature and air humidity is highly influenced by the capacity of the AC units and the cooling load entering the room.
Design of Tools for Visualizing Thermodynamic Concepts in Steam Power Plant Trainer Processes with Web-Based Exploratory Data Analysis (EDA) Karudin, Arwizet; Leni, Desmarita; Lapisa, Remon; Kusuma, Yuda Perdana; Abbas, Muhammad Rabiu
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2139

Abstract

Thermodynamics is considered one of the most complex and challenging subjects for many students. This is primarily due to comprehending abstract concepts such as entropy, enthalpy, and energy flow, which involve complex mathematical equations and are rarely accompanied by tangible visualizations. This research aims to design, develop, and test a data-based visualization tool for thermodynamics testing results. This study collected and processed data from thermodynamics testing and simulations, such as the mini-steam power plant trainer used as a teaching aid in thermodynamics education, as the foundation for designing a data-based visualization tool for thermodynamics concepts. The visualization tool was created using the Python programming language integrated with the web-based Streamlit framework. The designed visualization tool encompasses various features, including automated data reporting, visualization of variable correlations using correlation heatmaps, Sankey diagrams for visualizing energy flow, and the capability to predict electrical output using machine learning integrated with three different machine learning algorithms. The visualization tool was evaluated by thermodynamics experts using a Likert scale. Based on the results obtained, the experts gave an average score of 4 in the information accuracy aspect in the good category. This shows that the information displayed in this visualization tool is by thermodynamics learning at Padang State University. In the visualization aspect, experts gave an average score of 4.25, which is in the Good and Very Good range. In alignment with the education aspect, experts gave an average score of 3.75, which is close to the good category. This shows that this aspect is considered suitable for studying thermodynamics, although shortcomings still need to be corrected. Experts gave a relatively high assessment of the Ease-of-Use aspect, with an average score of 4.5, with a range of Good and Very Good. This enables students to better understand complex patterns, cause-and-effect relationships, and parameter changes within thermodynamics concepts.