Review
Environmental Sciences
Zhiqing Zhang, Rui Dong, Guanglin Lan, Tao Yuan, Dongli Tan
Summary: Diesel particulate filter (DPF) is an effective method to control particulate matter (PM) emissions from diesel engines and is increasingly mandated by national/regional laws and regulations. This paper comprehensively summarizes advanced regeneration technologies, including filter structure, new catalyst formulas, accurate soot prediction, safe and reliable regeneration strategies, uncontrolled regeneration, and its control methods. The additional emissions during regeneration and the impact of DPF modification on the original system of old models are also discussed.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Thermodynamics
Dongli Tan, Rui Dong, Zhiqing Zhang, Bin Zhang, Feng Jiang, Yanshuai Ye, Dongmei Li, Hui Liu
Summary: This study develops a hybrid multi-objective optimization approach to optimize the comprehensive trap performance of diesel particulate filter (DPF). Critical structures are selected through fuzzy grey correlation analysis, and machine learning models are trained to relate the structures to filtration efficiency and pressure drop. The optimized DPF shows significant improvement in both pressure drop and filtration efficiency.
Review
Engineering, Chemical
Rui Dong, Zhiqing Zhang, Yanshuai Ye, Huiqiong Huang, Chao Cao
Summary: This paper summarizes the research progress on diesel particulate filters and gasoline particulate filters, and comprehensively introduces their mechanisms, compositions, and operation processes. Additionally, it discusses the laws and regulations of various countries and the impact of gas waste particulates on the human body, and studies the mechanisms of the filters and regeneration. Finally, it presents the prospects and future directions for the development of particle filters for internal combustion engines.
Article
Engineering, Environmental
Zhiqing Zhang, Rui Dong, Dongli Tan, Bin Zhang
Summary: In this research, a hybrid multi-objective optimization approach of FGRA-RSM-MOPSO was developed for Diesel Particulate Filter (DPF) to improve its performance. Sensitivity analysis was conducted to identify key structural factors affecting DPF performance. Mathematical relationships between key parameters, initial filtration efficiency, and pressure drop were established using response surface methodology. Multiobjective particle swarm optimization was then employed to optimize the DPF and select the optimal solution from the Pareto front. The optimized DPF showed significant improvements in initial filtration efficiency and pressure drop reduction.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Thermodynamics
Zhiqing Zhang, Rui Dong, Dongli Tan, Lin Duan, Feng Jiang, Xiaoxue Yao, Dixin Yang, Jingyi Hu, Jian Zhang, Weihuang Zhong, Ziheng Zhao
Summary: In this study, a three-dimensional computational fluid dynamics (CFD) model of diesel particulate filter (DPF) was used to investigate the influence of key structural factors on capture performance. The results show that reducing wall thickness and increasing filter diameter, filter length, and cell density per square inch (CPSI) can lead to a reduction in pressure drop and an improvement in filtration efficiency of DPF. Furthermore, the results of grey correlation analysis suggest that wall thickness is the most significant structural factor in DPF design. This work provides important reference for optimizing DPF capture performance and extending its working time.
Article
Engineering, Chemical
Jonathan Nuvoli, Soleiman Bourrous, Francois-Xavier Ouf, Dominique Thomas
Summary: This study focuses on controlling properties of nanoparticle films, particularly in terms of porosity, through numerical simulations and experimental studies, ultimately correlating porosity values with the Stokes number.
JOURNAL OF AEROSOL SCIENCE
(2021)
Article
Energy & Fuels
Meng Deng, Zhongwei Meng, Juan Ou, Daigeng Wu, Zhongqiang Bao
Summary: Investigating the evolution of pressure drop and particle layer thickness during oxidation is important for understanding the regeneration performance of DPFs. The study found that the regeneration process can be divided into three stages, with a time delay between the decrease in thickness and the decrease in pressure drop.
Article
Energy & Fuels
Zhizhou Cai, Fuwu Yan, Jie Hu, Hanming Wu, Maoxuan Wang, Yuankai Shao, Zhenguo Li
Summary: As diesel emission regulations become stricter, the durability of diesel aftertreatment systems has become a concern. This study investigated the regeneration performance of cordierite DPFs during drop-to-idle (DTI) processes. The findings provide important insights for the development of reliable regeneration strategies and optimization of substrate and catalyst designs.
Article
Engineering, Environmental
Zhongwei Meng, Jingtong Zhang, Zhongqiang Bao, Wei Wang, Huan Deng, Yizhang Hu
Summary: Based on the theory of spherical filled bed, this paper simulates the particle deposition characteristics inside Diesel Particle Filter (DPF) through numerical simulation. The influence of macroscopic incoming flow parameters and microstructural parameters on DPF filtration performance is investigated, and an optimization window to improve DPF filtration performance is explored. The results show the effects of exhaust temperature, incoming particle concentration, filtration velocity, porosity, average pore size, and pore size distribution range on DPF filtration efficiency and pressure drop. Evaluation indexes are proposed to provide a theoretical basis for optimizing DPF substrate parameters.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Thermodynamics
Xiaohuan Zhao, Hongyan Zuo, Guohai Jia
Summary: In this paper, a nonlinear soot regeneration combustion pressure model (NSRCMP model) is established and used for Diesel Particulate Filter (DPF) simulation study. The study finds that cell density and permeability have significant effects on soot loading time and pressure drop, with cell density being a key parameter affecting the overall system pressure.
Article
Engineering, Environmental
Hao Jin, Shihang Li, Jun Hou, Changgeng Gui, Liang Yuan, Fubao Zhou
Summary: This study investigates the effect of rolling points on the filtration performance of filter media. The results show that rolling points increase the initial pressure drop and resistance coefficient of clean filter media, but have minimal impact on filtration efficiency. Filter media without rolling points have larger effective filtration areas, lower pressure drops, and higher quality factors compared to those with rolling points.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Engineering, Chemical
David Fernandes del Pozo, Arslan Ahmad, Usman Rehman, Arne Verliefde, Ingmar Nopens
Summary: This study presents a novel CFD model to predict the removal efficiency of suspended solids and pressure change in rapid sand filters. The model shows satisfactory agreement with experimental data.
SEPARATION AND PURIFICATION TECHNOLOGY
(2022)
Article
Engineering, Chemical
Juan Ou, Zhongwei Meng, Yizhang Hu, Yuheng Du
Summary: This study investigates the impact of soot layer on the regeneration process of DPF, showing that CDPF is more sensitive to filtration velocity and has a higher decrease rate in soot layer thickness in the first stage.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Construction & Building Technology
Zhuolun Niu, Ye Bian, Tongling Xia, Li Zhang, Chun Chen
Summary: The study developed a design and fabrication approach for electrospun nanofiber air filters to minimize pressure drop under a target PM2.5 filtration efficiency. Through the development of semi-empirical models and an optimization approach, an effective optimization method was proposed to minimize pressure drop while maintaining a given PM2.5 filtration efficiency and air velocity.
BUILDING AND ENVIRONMENT
(2021)
Article
Polymer Science
Mateusz Kaminski, Jakub M. Gac, Piotr Sobiech, Pawel Kozikowski, Tomasz Jankowski
Summary: This study investigates the dynamics of pressure drop during the filtration of three-component mixture aerosols and compares them with two and single-component aerosols. The addition of a small quantity of liquid and solid particles during the filtration of aerosols containing water mist is of particular interest. The study also compares the calculations of filter mass change during oil aerosol filtration with experimental results.
Article
Engineering, Environmental
KwangChul Oh, Choong-Kil Seo, SangChul Go
CHEMICAL ENGINEERING JOURNAL
(2014)
Article
Engineering, Mechanical
Muhammad Khristamto Aditya Wardana, G. M. Hasan Shahariar, Kwangchul Oh, Ocktaeck Lim
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
(2019)
Article
Engineering, Mechanical
Muhammad Khristamto Aditya Wardana, Kwangchul Oh, Young Jae Lee, Young Min Woo, Ocktaeck Lim
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
(2020)
Article
Engineering, Mechanical
Byeong Gyu Jeong, Jang Hyeok Won, Kwang Chul Oh, Hyung Seok Heo, Seokjeong Bae, Hyung Jun Seo, Hoyoung Kim
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
(2020)
Article
Chemistry, Multidisciplinary
Kyungseok Lee, Byungchul Choi, Chunbeom Lee, Kwangchul Oh
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
(2020)
Article
Chemistry, Multidisciplinary
Kyungseok Lee, Byungchul Choi, Cheolho Kim, Chunbeom Lee, Kwangchul Oh
Summary: The combination of Ag/Al2O3 and CuSn/ZSM-5 showed superior catalytic performance in reducing NOx and oxidizing C3H6 at lower temperatures. Sequential arrangement of 1Ag/Al2O3 + 2Cu1Sn/ZSM-5 was found to be the best catalytic configuration for simultaneous reduction of NOx, C3H6, and H-2 over a wide temperature range. The reduced NOx was mostly converted to N-2 with minimal generation of N2O, NH3, and HCNO.
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
(2021)
Article
Engineering, Mechanical
Kyoung-bok Lee, Shin-han Kim, Kwang Chul Oh
Summary: With tightening emissions regulations, researchers have made improvements in DPF systems to reduce particulate matter emissions from diesel engines. By changing substrate materials and pore structures, the regeneration characteristics of DPF systems have been enhanced to meet stringent emission standards, both under normal and uncontrolled regeneration conditions.
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
(2021)
Article
Energy & Fuels
Byeong Gyu Jeong, Kwang Chul Oh, Seong Uk Jang
Summary: This study investigated the melting characteristics of a frozen urea water solution in relation to the surrounding heating module, observing differences in melting shapes based on the level of urea solution in the tank. The shape change was attributed to the formation of internal gaseous space during melting and the heat transfer characteristics of the fluid and solid substances.
Article
Chemistry, Analytical
Kwang Chul Oh, Kyoung Bok Lee, Byeong Gyu Jeong
Summary: In response to exhaust and diagnostics regulations, diesel vehicles are required to have diesel particulate filter systems. This study focuses on developing an onboard diagnostics sensor for monitoring damage to the filter. A sensor based on accumulation principle is fabricated, and its characteristics are investigated to improve sensitivity and response. The combination sensor demonstrates improved stability and response time compared to commercially available sensors in terms of monitoring crack degree.
Article
Engineering, Mechanical
Young-Hoon Song, Dae Hoon Lee, Hongjae Kang, Kwangchul Oh, Chunbeom Lee, Kwangok Choi
Summary: This study analyzes the causes of white smoke emissions in the DPF system and proposes technical solutions to address the issue. The research focuses on the performance and operational characteristics of the burner, and finds that the plasma burner can significantly reduce white smoke emissions.
JOURNAL OF THE KOREAN SOCIETY OF COMBUSTION
(2022)
Article
Energy & Fuels
Hassan Raza, Kwang-Chul Oh, Hongsuk Kim
Summary: This study investigates the N2O emission formation from heavy-duty diesel engine by injecting ammonia gas and urea water solution (UWS) in Cu-zeolite SCR. It was found that ammonia gas injection produced higher tailpipe N2O compared to UWS injection, especially during the cold and hot startup phases. Meanwhile, injecting ammonia gas can reduce the emissions of NO and NO2. Higher NH3/NOx ratio leads to increased N2O emissions and decreased NO and NO2 emissions. The concentration of N2O formation is high at an exhaust gas temperature of 200-250°C.
Article
Chemistry, Physical
Kyoungbok Lee, Jongin Lee, Sangho Lee, Kwangchul Oh, Sungwook Jang
Summary: A compliant exhaust system was developed for a non-road 110PS engine with a Tier-4f aftertreatment system, and the emission characteristics of the engine were investigated in the NRTC mode. The effects of EHC power, catalyst coating, and UWS injection map on emissions reduction were studied. Applying EHC in the NRTC mode resulted in significant NOx reduction with lower peak concentrations of N2O and NH3.
Article
Energy & Fuels
Seoksu Moon, Sunhong Park, Jihyun Son, Kwangchul Oh, Sungwook Jang
Summary: This study presents a one-dimensional analysis scheme to characterize the surface temperature distribution in the electrically heated catalyst (EHC) of a urea-SCR system. The analysis scheme is validated through surface temperature measurement results and shown to have over 95% prediction accuracy in heavy-duty diesel engine operating conditions. Based on the proven reliability, the effects of geometric and operation parameters on the surface temperature distribution in the EHC are analyzed and discussed.
Article
Chemistry, Physical
Muhammad Khristamto Aditya Wardana, Kwangchul Oh, Ocktaeck Lim
Article
Engineering, Mechanical
Doo Ki Lee, Man Young Kim, Kwang Chul Oh, Tae Soo No
TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B
(2019)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.
