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All Journal Rekayasa Mesin International Journal of Renewable Energy Development
Dafiqurrohman, Hafif
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Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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TECHNO-ECONOMIC ANALYSIS OF BOILER WASTE HEAT-BASED BIOMASS DRYING SYSTEM OF A COAL COFIRING POWER PLANT Baisir, Mahpudi; Surjosatyo, Adi; Dafiqurrohman, Hafif
Jurnal Rekayasa Mesin Vol. 15 No. 3 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i3.1858

Abstract

This research aims to find the optimal operating pattern in a rotary dryer type biomass drying system with the heating medium from exhaust gas leaving the boiler. This heating medium is believed to provide high profits because it does not require additional energy. However, the lowest moisture may not necessarily provide maximum investment profits due to trade-offs with capital and operational costs. The research results show that the test point at a biomass inlet flow of 10 t/h, a residence time of 25 minutes, and an exhaust gas flow of 90 t/h can optimally obtain the highest three investment parameters, including USD 8,518,085.33 for NPV, 150.32% for IRR, and 0.67 years for PBP. So that it succeeds in reducing the biomass moisture from 44.57% to 10.90%. Reductions in energy output and operational duration should be avoided wherever possible because they have a significant impact on reducing profit.
Hydrogen-rich syngas production of solid waste supercritical water gasification multi-objective process optimization Saputro, Bayu Aji; Surjosatyo, Adi; Sari, Wanda Rulita; Dafiqurrohman, Hafif; Qossam, Izzuddin Al; Lestari, Puspa
International Journal of Renewable Energy Development Vol 14, No 4 (2025): July 2025
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2025.60848

Abstract

The increasing population and changing lifestyles have led to significant solid waste accumulation, necessitating efficient waste management to prevent environmental and health issues. Supercritical water gasification (SCWG) is an effective method for converting high-moisture biomass into hydrogen-rich syngas, operating at temperatures above 374°C and pressures above 490MPa. The objective of this study was to develop and validate an integrated modeling and multi-objective optimization framework, combining Response Surface Methodology (RSM), Artificial Neural Networks (ANN), and Multi-Objective Genetic Algorithm (MOGA) to maximize hydrogen-rich syngas production from municipal solid waste through SCWG. The research models and predicts the effects of feed concentration, residence time, and reaction temperature on hydrogen yield, lower heating value (LHV), and gas yield. The integrated RSM and ANN models demonstrated high predictive accuracy with R² values exceeding 0.95. Optimization results from MOGA identified optimal parameters: a feed concentration of 2%, a reaction temperature between 490-495°C, and a residence time of 80 minutes. These conditions achieved H2 selectivity of 84.73%, an LHV of 6.95 MJ/Nm³, and a gas yield of 29.7%. The findings highlight the dominant influence of reaction temperature and residence time on hydrogen production, while feed concentration requires careful balance for optimal syngas quality. This study demonstrates that the combined use of RSM, ANN, and MOGA provides an effective framework for optimizing SCWG processes, offering practical insights for industrial-scale applications. Future research should explore additional variables such as biomass composition, pressure, and catalysts to enhance the efficiency and sustainability of hydrogen production from solid waste, supporting SCWG as a viable technology for sustainable energy production and effective waste management.
TECHNO-ECONOMIC ANALYSIS OF BOILER WASTE HEAT-BASED BIOMASS DRYING SYSTEM OF A COAL COFIRING POWER PLANT Baisir, Mahpudi; Surjosatyo, Adi; Dafiqurrohman, Hafif
Jurnal Rekayasa Mesin Vol. 15 No. 3 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i3.1858

Abstract

This research aims to find the optimal operating pattern in a rotary dryer type biomass drying system with the heating medium from exhaust gas leaving the boiler. This heating medium is believed to provide high profits because it does not require additional energy. However, the lowest moisture may not necessarily provide maximum investment profits due to trade-offs with capital and operational costs. The research results show that the test point at a biomass inlet flow of 10 t/h, a residence time of 25 minutes, and an exhaust gas flow of 90 t/h can optimally obtain the highest three investment parameters, including USD 8,518,085.33 for NPV, 150.32% for IRR, and 0.67 years for PBP. So that it succeeds in reducing the biomass moisture from 44.57% to 10.90%. Reductions in energy output and operational duration should be avoided wherever possible because they have a significant impact on reducing profit.
Co-Authors Adi Surjosatyo Baisir, Mahpudi Lestari, Puspa Qossam, Izzuddin Al Saputro, Bayu Aji Sari, Wanda Rulita