cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Novianita Rulandari
Contact Email
journal@idscipub.com
Phone
+6282115151339
Journal Mail Official
journal@idscipub.com
Editorial Address
Gondangdia Lama Building 25, RP. Soeroso Street No.25, Jakarta, Indonesia, 10330
Location
Kota adm. jakarta pusat,
Dki jakarta
INDONESIA
Catalyx : Journal of Process Chemistry and Technology
Published by PT Penerbit Ilmiah Indonesia
ISSN : -     EISSN : 3063508X     DOI : https://doi.org/10.61978/catalyx
Core Subject : Science,
Chemistry
Catalyx : Journal of Process Chemistry and Technology with ISSN Number 3063-508X (Online) published by Indonesian Scientific Publication, is a leading scientific journal dedicated to advancing research, innovation, and development in the field of process chemistry and its technological applications. Since its inception, Catalyx has focused on facilitating scientific exchange among researchers, engineers, and practitioners in various sectors of process chemistry and its applications in industrial contexts. Through a rigorous peer-review process, the journal ensures the highest standards of academic integrity while promoting the dissemination of high-quality research.
Arjuna Subject : Kimia(semua kategori) - Kimia (Lain-Lain)
Articles 30 Documents
 1   2   3 
Dynamic Sustainability Modeling under Energy and Emission Uncertainty: Tools for Resilient Policy and Industrial Decision-Making Tahirah Hasan
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i4.1328

Abstract

Uncertainty in energy markets and emission factors presents a significant challenge to sustainable manufacturing. This study aims to develop a simulation-based sensitivity framework to assess how variability in fossil fuel prices and emission coefficients impacts sustainability outcomes. Using One-At-a-Time (OAT), Tornado analysis, and Monte Carlo simulations, the study evaluates the influence of energy prices (oil, coal, natural gas) and emission factors (CO₂ per GJ for various fuels) on manufacturing sustainability. The framework incorporates real-world parameter ranges and applies probabilistic modeling to capture compound uncertainties. Sensitivity analysis reveals that coal and oil prices are the most influential variables in cost-driven assessments, while emission factor variation particularly for coal and diesel introduces significant uncertainty in carbon accounting. Monte Carlo simulations, run over 10,000 iterations, show wide variability in sustainability scores, underscoring the need for risk-informed planning. Tornado diagrams visually rank variable importance, facilitating policy and operational prioritization. Contextual influences, such as national energy mixes and regulatory environments, further shape parameter sensitivity. Findings demonstrate the strategic value of compound modeling in subsidy targeting, supply chain planning, and compliance forecasting. This study contributes a practical, adaptable framework for sustainability modeling under uncertainty. By quantifying the probabilistic impact of volatile energy and emissions data, it enhances the credibility and utility of manufacturing assessments. The framework supports policymakers and industry leaders in designing robust, context-specific strategies for sustainable transitions.
Comparative Energy Analysis of Intensified Distillation Technologies for Sustainable Chemical Processing Ratna Wulandari Aji Saputri
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i2.1329

Abstract

Distillation remains one of the most widely applied yet energy-intensive separation processes in the chemical industry. This study evaluates the potential of intensified distillation technologies specifically Dividing Wall Columns (DWC), Heat-Integrated Distillation Columns (HIDiC), Mechanical Vapor Recompression (MVR), Reactive Distillation with Heat Integration (RD + HI), and Hybrid Membrane Systems to reduce energy consumption and improve sustainability. A comprehensive methodology was applied using standardized performance metrics, comparative data analysis, and literature-backed energy efficiency benchmarks. Key findings show that HIDiC systems achieve the highest energy savings, up to 70%, followed by MVR and RD + HI, while DWC systems offer practical energy reductions between 15–44% with additional environmental benefits. Hybrid systems also contribute to energy efficiency, particularly in applications targeting water recovery and zero-liquid discharge. The discussion addresses trade-offs between energy savings and capital investment, the influence of technology readiness levels, and decision-making frameworks for selecting appropriate technologies based on energy demands, control complexity, and product purity. The study concludes that process intensification technologies provide a viable route toward sustainable industrial distillation. Their adoption should be driven by long-term operational savings, environmental compliance, and integration potential with advanced control systems. This work offers a structured basis for evaluating and implementing intensified distillation technologies across industrial contexts.
Integrating Safety Metrics and Regulatory Compliance for Green Solvent Selection in Sustainable Chemistry Sarifah Fauziah Syed Draman; Ratna Wulandari Aji Saputri; Ibtisam Ibtisam
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i2.1330

Abstract

The shift toward sustainable practices in chemical manufacturing necessitates the replacement of traditional solvents with safer, environmentally benign alternatives. This study proposes a dual-criteria evaluation framework that integrates Safety, Health, and Environmental (SHE) scores with REACH regulatory compliance to support green solvent selection. Using a curated dataset of solvents characterized by physical and operational risk metrics, the methodology identifies high-performing green solvents suitable for sustainable process design. Quantitative assessments were performed based on SHE scores (scale 1–10), flash point, boiling point, and regulatory status. Correlation analysis revealed key relationships between solvent physical properties and SHE risk indicators. Recommended solvents were further evaluated for practical applications in extraction, synthesis, and purification processes. Solvents such as ethanol, water, and propylene carbonate demonstrated favorable SHE profiles and full REACH compliance. Results confirmed the utility of simple scoring systems in streamlining solvent substitution while ensuring safety and regulatory alignment. The framework offers a transparent, efficient method for solvent screening, serving as a foundation for broader sustainability tools like Process Mass Intensity (PMI), E-Factor, and Life Cycle Assessment (LCA). This model enhances industrial decision-making by enabling safer and more sustainable solvent use. Its adaptability supports both laboratory-scale and industrial applications, promoting compliance and long-term environmental stewardship.
Synergistic Carbon Mitigation through Electrification and Solvent Recovery in Process Intensification Frameworks Nenden Fauziah
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i2.1331

Abstract

The chemical industry is under increasing pressure to decarbonize in response to global climate commitments and sustainability expectations. This study investigates the carbon reduction potential of electrification and solvent recovery within a Process Intensification (PI) framework, using a scenario-based analysis to model varying electricity emission factors and recovery efficiencies. The methodology combines Life Cycle Assessment (LCA), Techno-Economic Assessment (TEA), and Technology Readiness Level (TRL) evaluation to assess environmental performance and implementation feasibility. Results indicate that emission reductions are highly sensitive to electricity source, with low-carbon grids offering the greatest benefit. Electrification of thermal processes, when powered by renewable energy, significantly cuts greenhouse gas emissions, while solvent recovery contributes to waste minimization and material efficiency. Combined, these strategies produce synergistic effects, amplifying both environmental and economic benefits. However, diminishing returns in solvent recovery efficiency and high initial capital costs present challenges to widespread adoption. TRL assessments suggest that many technologies are near commercialization, though integration hurdles persist. The findings highlight the importance of policy incentives, regulatory frameworks, and stakeholder engagement in enabling PI adoption. This integrated approach offers a pathway for sustainable transformation in chemical manufacturing, aligning emission reductions with long-term economic viability.
Quantifying Emission Reductions in Agro-Industry: Evidence from Cleaner Production Strategies Ika Fitri Ulfindrayani
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i3.1333

Abstract

Agro-processing industries play a critical role in global food systems but are also major contributors to environmental pollution. This study investigates the impact of Cleaner Production (CP) strategies on reducing key emissions carbon dioxide (CO₂), nitrogen oxides (NOₓ), sulfur dioxide (SO₂), and chemical oxygen demand (COD) within agro-industrial processes. Using a comparative analysis between conventional and CP-based operations, emission data were collected and evaluated using standardized performance metrics. The methodology involved analyzing quantitative data from agro-processing facilities before and after CP implementation. Emission reductions were calculated using emission factors and comparative benchmarks. The results indicate substantial reductions across all measured pollutants: CO₂ by 33.7%, NOₓ by 36.8%, SO₂ by 42.3%, and COD by 45.8%. These findings align with global efforts to reduce environmental impact through sustainable industrial practices. Cleaner Production not only lowers emissions but also enhances energy efficiency, resource utilization, and operational cost-effectiveness. Case studies and policy literature support these results, indicating that CP provides a scalable and practical solution for agro-industrial sustainability. In conclusion, this research affirms that Cleaner Production can be a transformative strategy for environmental management in agro-processing. Broader adoption of CP, supported by policy incentives and capacity-building, could drive significant progress toward industrial sustainability goals.
Integrated Fermentation with In Situ Product Recovery: A Lifecycle Assessment of Economic and Environmental Performance Riza Apriani
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i3.1335

Abstract

Conventional fermentation processes face critical challenges, including low productivity, high downstream costs, and substantial environmental impact due to product inhibition and waste generation. This study aims to evaluate the integration of in situ product recovery (ISPR) into fermentation systems, assessing its economic and environmental benefits through a lifecycle perspective. A comparative analysis was conducted using performance data from conventional and ISPR-integrated bioprocesses. Key metrics included product titer, volumetric productivity, energy use, waste generation, and downstream cost fractions. Various ISPR configurations such as membrane and resin-based systems were evaluated using life cycle assessment and cost analysis frameworks. Integration of ISPR improved product titer by up to 50%, volumetric productivity by over 59%, and reduced fermentation time by up to 6 hours. Waste output and energy consumption were significantly lowered, especially in membrane-based systems. Downstream processing costs traditionally comprising 30–50% of total operational expenditure were reduced by up to 40%. Environmental benefits included lower carbon emissions and improved substrate utilization efficiency. However, the success of ISPR at scale depends on factors such as solvent regeneration cost, system compatibility, and long-term sustainability of extraction methods. ISPR integration enhances the efficiency, economic viability, and sustainability of fermentation processes. It offers a promising pathway toward scalable and environmentally responsible biomanufacturing. Further innovation in ISPR technologies and digital process control is recommended to maximize long-term impact.
Integrated Downstream Separation in Bioprocessing: Enhancing Yield, Purity, and Sustainability through Membrane and Adsorption Technologies Aika Latifah Alawiyah
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i3.1336

Abstract

Downstream separation is a critical determinant of efficiency, cost, and sustainability in industrial bioprocessing. This study investigates the potential of integrated downstream separation strategies to enhance bioprocess performance compared to conventional multistep systems. The objective is to evaluate improvements in product recovery, purity, energy and water efficiency, environmental impact, and economic viability. A comparative assessment was conducted across four separation strategies: conventional multistep, integrated extraction with distillation, membrane with polishing, and adsorption with desorption. Key performance metrics recovery yield, product purity, energy demand, and water use were quantified alongside environmental indicators (CO₂ emissions, solvent loss, wastewater COD) and economic indicators (CAPEX, OPEX, NPV, IRR). Results showed that integrated systems outperformed conventional ones in every evaluated category. Membrane systems achieved the highest product purity (98%) and lowest energy demand (25.5 MJ/kg), while adsorption-based systems delivered the highest recovery yield (85%). Integrated strategies reduced CO₂ emissions by 37.9%, solvent loss by 61.1%, and wastewater COD by 46.9%. Economically, integrated systems showed strong viability with a payback period of 2.0 years, an IRR of 26.7%, and a net present value of USD +820,000. These findings suggest that integrated downstream systems offer substantial gains in efficiency, environmental sustainability, and financial performance. Their implementation supports circular economy principles and provides a strategic pathway for sustainable industrial bioprocessing. Continued validation and scale-up studies are recommended to advance adoption across the biomanufacturing sector.
System-Level Integration in Bioprocessing: Advancing Yield and Environmental Sustainability Zaenal
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i3.1337

Abstract

Integrated bioprocessing presents a transformative approach to industrial biotechnology by unifying upstream and downstream operations to enhance efficiency and sustainability. This study investigates the performance of integrated bioprocess systems compared to conventional setups, focusing on metrics such as product yield, resource utilization, and environmental impact. Methodologically, the analysis draws on empirical data and simulation models to evaluate five key performance indicators: product recovery, yield (g/g), energy consumption (MJ/kg), water usage (m³/kg), and waste generation (kg/kg). Results indicate that integrated systems significantly outperform conventional ones, achieving a 41.8% increase in product recovery, a 48.6% boost in yield, and notable reductions in energy (−37.9%), water (−39.6%), and waste (−44.6%). These improvements are attributed to continuous processing, real-time monitoring, and process intensification. The study concludes that integrated bioprocessing is a viable strategy for advancing sustainable biomanufacturing. Its broad adoption could drive industrial innovation, reduce environmental burdens, and meet rising production demands in the biotechnology sector.
Dynamic Risk Assessment of Industrial Safety Barriers Using Bayesian Networks: A Predictive Modeling Approach Dwi Nova Wijaya; Zaenal
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i3.1341

Abstract

Traditional risk assessment methods in chemical and process industries frequently fail to capture the dynamic nature of barrier degradation and hazard escalation. This study proposes a Dynamic Bayesian Network (DBN) framework integrating temporal indicators, including SIS unavailability and corrosion rate, to enhance the predictive accuracy of real-time risk management systems. The DBN was structured using nodes and dependencies derived from industrial scenarios and reliability parameters, then validated through two simulation cases — reactor runaway and corrosion-driven leak — utilizing real-time inputs of dT/dt and k_cor to dynamically update failure probabilities via MATLAB. Results demonstrate that barrier degradation significantly impacts risk profiles: escalation probability in the reactor runaway scenario increased from 0.10 to 0.45 as SIS unavailability rose, while leak probability reached severe consequences when barrier failure exceeded 60%. Compared to static models, the DBN approach more accurately captured emergent risks over time. The framework supports predictive maintenance, alarm prioritization, and human reliability modeling, establishing DBNs as valuable tools for transitioning toward intelligent, adaptive safety systems in high-risk industries.
Economic Viability of Decision Support Systems for Emergency Risk Reduction in Chemical Industries Dwi Nova Wijaya
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 4 (2025): October 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i4.1343

Abstract

This study assesses the economic feasibility of implementing a Decision Support System (DSS) in chemical process industries for emergency management and risk reduction. Recognizing the financial stakes involved in industrial incidents, the research evaluates the costs and returns associated with DSS adoption through a structured cost-benefit analysis. The methodology incorporates capital expenditure (CAPEX), operating expenditure (OPEX), avoided incident losses, and insurance premium reductions. Using data modeling and sensitivity analysis, the study calculates net financial benefits and payback periods under various scenarios, ranging from conservative to optimistic projections. Key findings reveal that the DSS investment of USD 450,000, with an annual OPEX of USD 85,000, yields annual economic benefits of USD 290,000 through incident cost avoidance and insurance savings. This translates to a net benefit of USD 205,000 annually and a payback period of approximately 2.2 years. Even under conservative assumptions, the system demonstrates economic viability, confirming its potential to deliver substantial returns beyond its safety functions. The conclusion affirms that DSS integration not only enhances operational safety but also provides compelling financial justification. It encourages broader adoption in high-risk industrial sectors and advocates for future research that integrates intangible benefits and long-term impacts into economic evaluations.

Page 3 of 3 | Total Record : 30

 1   2   3 

Filter by Year

2024 2025


Reset
Filter By Issues
All Issue Vol. 2 No. 4 (2025): October 2025 Vol. 2 No. 3 (2025): July 2025 Vol. 2 No. 2 (2025): April 2025 Vol. 2 No. 1 (2025): January 2025 Vol. 1 No. 2 (2024): October Vol. 1 No. 1 (2024): July