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All Journal Jurnal Polimesin Advance Sustainable Science, Engineering and Technology (ASSET)
BERKAH FAJAR TAMTOMO KIONO
Universitas Diponegoro
Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Performance Optimization of a Petrochemical Cooling Tower via Fill Replacement: Cleanflow vs Cleanflow Plus Demas Ahmad Resha Putra Hidayat; Berkah Fajar Tamtomo Kiono; Sri Widodo Agung Suedy
Advance Sustainable Science Engineering and Technology Vol. 8 No. 3 (2026): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v8i3.2574

Abstract

This study investigates the performance improvement of an induced draft, counterflow cooling tower after replacing the existing Cleanflow fill with Cleanflow Plus. One cell (E) was upgraded while four cells (A–D) served as the baseline under CTI ATC-105 procedures. Measurements included outlet temperature, wet-bulb temperature, circulation flow, and fan power. Results show that Cell E achieved a higher cooling range (9.20°C vs. 8.63°C average) and a lower approach (6.29°C vs. 6.87°C average). Heat-transfer capacity increased from 37.12 MW average to 39.60 MW (+6.68%). Tower capability improved from 89.00% average to 94.47% (+5.47% absolute, +6.1% relative). Number of Transfer Units (NTU) increased significantly from 2.341 to 2.889 units (+23.4%), and effectiveness improved from 71.5% to 75.9% (+6.1%). Evaporation increased from 1.21% to 1.29% (6.6%), while electrical fan power was 149.65 kW (+2.4% relative to baseline). These enhancements are attributed to the higher specific surface area (140.7 m²/m³ vs. 127.0 m²/m³, +10.8%) and improved wettability of Cleanflow Plus fill. The findings support phased implementation and further optimization across remaining cells.
Uncertainty quantification in engineering and energy instrumentation: Linking bibliometric insights and practical methods Nanang Apriandi; Sumantri Hatmoko; Berkah Fajar Tamtomo Kiono; Mukhsinun Hadi Kusuma; Khoiri Rozi; Yoyok Setiyo Pambudi; Lily Maysari Angraini; Rani Raharjanti; Muhammad Yunus; Anhar Riza Antariksawan; Sofia Loren Butarbutar; Aris Fiatno; Afifa Pramesywari
Jurnal Polimesin Vol 24, No 4 (2026): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v24i4.7746

Abstract

Reliable quantification of measurement uncertainty is essential for validating thermal performance in engineering systems, particularly in heat pipe experimentation where derived parameters such as heat input and thermal resistance are highly sensitive to instrument variability. Despite the availability of the Guide to the Expression of Uncertainty in Measurement (GUM), practical implementation in laboratory-scale settings remains uneven. This study integrates bibliometric mapping and experimental validation to bridge this gap. A bibliometric analysis of 183 Scopus-indexed publications (1987–2025) identifies dominant research themes centered on high-precision calibration, simulation-based propagation, and intelligent modeling, with comparatively limited emphasis on structured frameworks for resource-constrained laboratories. An experimental uncertainty evaluation was then conducted on five instruments commonly used in heat pipe systems: thermocouples, pressure transducers, a voltage regulator, a digital clamp meter, and a rotameter. Instrument-level accuracy and precision were quantified, and system-level uncertainty was propagated using a GUM-aligned Root-Sum-of-Squares (RSS) method. The system achieved a combined uncertainty of ±2.51 and an expanded uncertainty of ±5.02 at a 95% confidence level. Uncertainty decomposition indicates that electrical input variability, particularly voltage regulation, is the dominant contributor to propagated thermal performance uncertainty. The findings establish a technically grounded and implementable uncertainty framework for laboratory-scale thermal systems, providing quantitative guidance for prioritizing instrumentation improvements and strengthening experimental reliability under constrained resource conditions.
Co-Authors Afifa Pramesywari Anhar Riza Antariksawan Aris Fiatno Demas Ahmad Resha Putra Hidayat Khoiri Rozi Muhammad Yunus Mukhsinun Hadi Kusuma Nanang Apriandi Rani Raharjanti Sofia Loren Butarbutar Sri Widodo Agung Suedy Sumantri Hatmoko Yoyok Setiyo Pambudi