Article Per Year (5 Year)
p-Index From 2021 - 2026
1.116
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Flash Jurnal Ilmiah Teknik (JUIT) International Journal Science and Technology (IJST) Jurnal Teknik dan Science (JTS)
Eko Susetyo Yulianto
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : International Journal Science and Technology (IJST)

 1 
ANALYSIS OF MASS FLOW RATE IN COLD WATER INTO FLOW WITH HOT WATER OUTPUT TEMPERATURE IN SHELL AND TUBE HEAT EXCHANGER Eko Susetyo Yulianto; Muhammad Aulia Febriandio Haadin
International Journal Science and Technology Vol. 1 No. 2 (2022): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.29 KB) | DOI: 10.56127/ijst.v1i2.135

Abstract

A heat exchanger is a device used to exchange heat and can usually function as a heater or a cooler. There are many types of heat exchangers available today. But the most widely used in industry is the shell and tube type heat exchanger. The shell and tube type heat exchanger has the advantages of being affordable, easy to maintain and has excellent heat transfer performance with a small volume. This paper aims to analyze the effect of mass flow rate on cold water inflow and hot water outlet temperature using water fluid in shell and tube heat exchanger. The design analysis that I did using the Solidworks 2019 software. This study only made a comparison by changing the mass flow velocity at the inflow of cold water with samples of 5 Kg/s, 10 Kg/s, 15 Kg/s, 20 Kg/s, 25 Kg/ s and 30 Kg/s and only sampled the hot water outlet temperature. The material used is stainless steel 321 on the shell and copper on the tube. The test results show that every increase of a multiple of 5 Kg/s there is a decrease in the average fluid temperature of 1.62 ℃ and the lowest temperature that can be achieved in this test is 52.33 ℃
SYSTEM DEVELOPMENT FOR ENHANCING BOILER PERFORMANCE: FROM PID CONTROL TO ADAPTIVE AND MODEL PREDICTIVE CONTROL FOR MORE EFFECTIVE OPTIMIZATION OF TEMPERATURE, PRESSURE, AND LEVEL CONTROL IN BOILER SYSTEM Eko Susetyo Yulianto; Doddi Yuniardi; Achmad Risa Harfit
International Journal Science and Technology Vol. 2 No. 2 (2023): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v2i2.680

Abstract

When discussing control systems for boilers, the PID (Proportional-Integral-Derivative) control algorithm is one of the most well-known and widely used. The PID control algorithm has been proven effective in controlling temperature and pressure within boiler systems. However, as technology advances, there have been advancements in more sophisticated and efficient control systems. One of these advancements is the utilization of adaptive control and model predictive control. Adaptive control can adapt to changes in operational conditions and provide better performance compared to PID control. Meanwhile, model predictive control utilizes a mathematical model of the system to predict future behavior and make control decisions based on these predictions. Nevertheless, the PID control algorithm remains crucial and can deliver satisfactory performance in temperature and pressure control within boilers. The key to effective use of PID control lies in the selection of appropriate parameters and proper tuning. By employing the correct tuning methods, PID control can achieve optimal performance and high efficiency in boiler systems. Overall, the use of the PID control algorithm remains a good choice for temperature and pressure control in boiler systems, despite advancements in more advanced and efficient control systems. Model predictive control, on the other hand, utilizes a mathematical model of the boiler system to predict its future behavior. By solving an optimization problem over a predictive horizon, it determines the optimal control actions to be applied. This proactive approach allows model predictive control to account for constraints, nonlinearity, and system dynamics, leading to improved control performance and energy efficiency. In conclusion, while PID control remains a viable option for temperature and pressure control in boiler systems, the advancements in adaptive control and model predictive control offer more sophisticated and efficient alternatives. The choice of control strategy depends on the specific requirements, complexity, and desired performance of the boiler system. Combining different control techniques or employing advanced control algorithms can further enhance the overall control performance and optimize the operation of the boiler system.
Co-Authors Achmad Risa Harfit Achmad Risa Harfit Candra Adi Setyawan Christofel Jarot Y Doddi Yuniardi Doddi Yuniardi Febrian Alliandi Indra Pranata Irvan Septyan Mulyana Muhammad Aulia Febriandio Haadin Riyad Basir