Zobrazeno 1 - 10 of 32 pro vyhledávání: '"KiJeon Nam"'
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An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning
Autor: Jorge Loy-Benitez, ChangKyoo Yoo, SungKu Heo, KiJeon Nam, Pouya Ifaei
Publikováno v: Water Science and Technology. 81:1578-1587
Optimal operation of membrane bioreactor (MBR) plants is crucial to save operational costs while satisfying legal effluent discharge requirements. The aeration process of MBR plants tends to use excessive energy for supplying air to micro-organisms.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfbe4894883dde9a476852245b0a719d
https://doi.org/10.2166/wst.2020.053
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3
Process assessment of a full-scale wastewater treatment plant using reliability, resilience, and econo-socio-environmental analyses (R2ESE)
Autor: Pouya Ifaei, KiJeon Nam, Qian Li, Messaoud Djeddou, Abdulrahman H. Ba-Alawi, ChangKyoo Yoo
Publikováno v: Process Safety and Environmental Protection. 133:259-274
This study proposed a novel practical framework to assess the reliability and resilience of a wastewater treatment plant (WWTP). Such assessment is further extended to enhance the system performance with various scenarios based on fault tree analysis
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0742dc1097d6b02de89de4f5e8883390
https://doi.org/10.1016/j.psep.2019.11.018
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7
Multiple Land-Use Fugacity Model to Assess the Environmental Fate of PAHs – A Mega-City Under COVID-19 Pandemic
Autor: Qian Li, Paulina Vilela, KiJeon Nam, ChangKyoo Yoo
Along with the accelerated process of urbanization, the contradiction between social development and environment become increasingly conspicuous. Herein, we access the transport and fate of polycyclic aromatic hydrocarbons (PAHs) by a newly proposed
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d871c1b0d3a973b2c46ed235c8783b15
https://doi.org/10.21203/rs.3.rs-690113/v1
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8
Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms
Autor: KiJeon Nam, SungKu Heo, ChangKyoo Yoo, Soonho Hwangbo
Publikováno v: Energy Conversion and Management. 185:353-367
Electricity generation from renewable resources such as wind and solar energy inevitably involve intermittency due to the variable nature of wind speed and solar radiation. In this study, a mathematical model of a hydrogen-based self-sustaining integ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dfba6e6640cf57e090339b05dce99de2
https://doi.org/10.1016/j.enconman.2019.02.017
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9
A real time QSAR-driven toxicity evaluation and monitoring of iron containing fine particulate matters in indoor subway stations
Autor: SungKu Heo, Usman Safder, KiJeon Nam, Dongwoo Kim, ChangKyoo Yoo
Publikováno v: Ecotoxicology and Environmental Safety. 169:361-369
A fine particulate matter less than 2.5 µm (PM2.5) in the underground subway system are the cause of many diseases. The iron containing PMs frequently confront in underground stations, which ultimately have an impact on the health of living beings e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ca08c1293ece8761ccdda12541fc2af
https://doi.org/10.1016/j.ecoenv.2018.11.027
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