Article-Journal

Machine learning--assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses
The catalytic dry reforming (DR) process is a clean approach to transform CO2 into H2 and CO-rich synthetic gas that can be used for …
Juin Yau Lim, Adrian Chun Minh Loy, Hatem Alhazmi, Bridgid Chin Lai Fui, Kin Wai Cheah, Martin J Taylor, Georgios Kyriakou, Chang Kyoo Yoo
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Machine learning--assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses
Non-Gaussian multivariate statistical monitoring of spatio-temporal wind speed frequencies to improve wind power quality in South Korea
The spatial and temporal variability of renewable energy resources, particularly wind energy, should be statistically evaluated to …
SungKu Heo, Juin Yau Lim, Roberto Chang, Yerim Shim, Pouya Ifaei, ChangKyoo Yoo
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Optimal configuration and economic analysis of PRO-retrofitted industrial networks for sustainable energy production and material recovery considering uncertainties: Bioethanol and sugar mill case study
In this study, an optimal scheme is proposed by utilizing waste streams at a plant-wide scale along with pressure retarded osmosis …
Usman Safder, Juin Yau Lim, Bing Shen How, Pouya Ifaei, SungKy Heo, ChangKyoo Yoo
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Predictive maintenance system for membrane replacement time detection using AI-based functional profile monitoring: Application to a full-scale MBR plant
The significant operational cost of membrane maintenance is an important issue to overcome alongside the membrane replacement time. We …
TaeYong Woo, KiJeon Nam, SungKu Heo, Juin Yau Lim, SangYoun Kim, ChangKyoo Yoo
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Shaving electric bills with renewables? A multi-period pinch-based methodology for energy planning
As the energy demand keeps growing with the world’s increasing population, concerns have arisen about the carbon emissions that …
Karen Gah Hie Kong, Bing Shen How, Juin Yau Lim, Wei Dong Leong, Sin Yong Teng, Wendy Pei Qin Ng, Irene Moser, Jaka Sunarso
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Synergistic effects of catalytic co-pyrolysis Chlorella vulgaris and polyethylene mixtures using artificial neuron network: Thermodynamic and empirical kinetic analyses
The catalytic pyrolysis of Chlorella vulgaris, high-density polyethylene (Pure HDPE) and, their binary mixtures were conducted to …
Tshun Li Yap, Adrian Chun Minh Loy, Bridgid Lai Fui Chin, Juin Yau Lim, Hatem Alhamzi, Yee Ho Chai, Chung Loong Yiin, Kin Wai Cheah, Melvin Xin Jie Wee, Man Kee Lam, Others
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A hybrid machine learning--based multi-objective supervisory control strategy of a full-scale wastewater treatment for cost-effective and sustainable operation under varying influent conditions
This study develops a multi-objective supervisory control (MOSC) strategy for wastewater treatment based on hybrid machine-learning …
SungKu Heo, KiJeon Nam, Shahzeb Tariq, Juin Yau Lim, Junkyu Park, ChangKyoo Yoo
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Evaluation of an integrated microalgae-based biorefinery process and energy-recovery system from livestock manure using a superstructure model
Microalgae based biofuel has been identified as a promising renewable energy source, which is capable to address the climate change …
Gahee Rhee, Juin Yau Lim, Soonho Hwangbo, ChangKyoo Yoo
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Evaluation of an integrated microalgae-based biorefinery process and energy-recovery system from livestock manure using a superstructure model
Heat integrated water regeneration network synthesis via graph-theoretic sequential method
The integration of multiple resources conservation networks is necessary to attain the ever-stringent sustainable goals. This work …
Bing Shen How, Akos Orosz, Sin Yong Teng, Juin Yau Lim, Ferenc Friedler
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Multi-objective lifecycle optimization for oil palm fertilizer formulation: A hybrid P-graph and TOPSIS approach
The conversion of biomass (or agriculture residues) to organic fertilizer is a common practice in developing countries. This study aims …
Juin Yau Lim, Bing Shen How, Sin Yong Teng, Wei Dong Leong, Jiang Ping Tang, Hon Loong Lam, Chang Kyoo Yoo
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Multi-objective lifecycle optimization for oil palm fertilizer formulation: A hybrid P-graph and TOPSIS approach