Article
Energy & Fuels
Kemal Masera, Abul K. Hossain
Summary: The study introduces a new design combining SCR and SNCR systems for low power density diesel engines to reduce NOx emissions. Injection of distilled water and urea-water solution can effectively decrease CO and NO emissions from both fossil diesel and biodiesels.
Article
Energy & Fuels
Marie Placha, Martin Isoz, Petr Koci, Matthew P. Jones, Milos Svoboda, David S. Eastwood, Andrew P. E. York
Summary: A transient pore-scale model for particle deposit formation in a catalytic filter wall is introduced and validated. The model is used to simulate the soot filtration process in different microstructures and provides insights into its efficiency and pressure drop.
Article
Thermodynamics
Talat Goekcer Canyurt, Selma Ergin, Hande Bezci Zeren, Ismail Hakki Savci
Summary: This study investigates the formation and evaporation process of liquid films in EATS systems, finding that the liquid film formed in stagnant flow regions poses the highest risk, and deposit formation occurs where the liquid film in stagnant regions does not evaporate.
APPLIED THERMAL ENGINEERING
(2022)
Article
Energy & Fuels
Yongjin Jung, Youngdug Pyo, Jinyoung Jang, Youngmin Woo, Ahyun Ko, Gangchul Kim, Youngjin Shin, Chongpyo Cho
Summary: The study investigated the formation of Nitrous Oxide (N2O) over urea-based Selective Catalytic Reduction (SCR) systems using exhaust gases from a 3.4-liter non-road diesel engine. It was found that the formation of N2O was closely related to the SCR catalysts, the ratio of NO2 to NOx at the SCR inlet, and the SCR inlet temperatures. Depletion of NO played a crucial role in the start of N2O formation.
Article
Energy & Fuels
Hang Fu, Zuohua Huang, Chenglong Tang, Peng Zhang
Summary: This paper investigates the effects of four different mixer structures on factors such as liquid film formation, flow and temperature distribution, and ultimately NOx conversion efficiency. The results show that liquid film tends to form and accumulate at the connection region between the mixer and exhaust pipe, and it develops with the flow direction. Mixer 2 and Mixer 4 have smaller liquid film areas, and there is negligible difference in temperature distribution among the four mixers. The uniformity of NH3 mass fraction distribution and the pressure drop show a trade-off relationship. In terms of the vertical injection system, Mixer 2 demonstrates better NOx conversion efficiency at 78%, while Mixer 3 has the lowest efficiency at 57%.
Article
Engineering, Environmental
Chunmiao Jia, Jiajian Gao, Kuniadi Wandy Huang, Vishal Jose, Prapisala Thepsithar, Jong-Min Lee
Summary: CuO/γ-Al2O3 catalyst showed excellent catalytic activity in methanol-SCR process, efficiently removing NOx without deactivation.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Engineering, Environmental
Jan Nemec, Marie Placha, Petr Koci
Summary: A new extension of a 1D mathematical model is proposed to describe diffusion limitation in a catalytic filter wall. The model considers transport limitations in both flowing gas inside free pores and in the coated catalyst, as well as Langmuir-Hinshelwood reaction kinetics with inhibition effects. By comparing the computed 1D concentration profiles with detailed 3D pore-scale simulations, the best agreement is achieved when gas-in-pores and intra-catalyst diffusion with LH effectiveness factor are considered. The extended model predicts the presence of undesired reactant slip at high flow rates, which was not possible with previously published models.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Thermodynamics
Benjamin Pla, Pau Bares, Enrique Sanchis, Andre Aronis
Summary: An optimized ammonia injection strategy was presented for reducing NO(x) emissions and ammonia consumption in selective catalytic reduction. Results showed considerable improvement in using the optimization tool, with a 13.7% reduction in NO(x) emissions and 33.5% ammonia consumption saved compared to standard calibration in the same amount of ammonia injection.
INTERNATIONAL JOURNAL OF ENGINE RESEARCH
(2021)
Article
Chemistry, Physical
Can Ozyalcin, Peter Mauermann, Jurgen Dornseiffer, Stefan Sterlepper, Marco Gunther, Stefan Pischinger
Summary: This study investigates the characteristics and performance of lean NOx traps (LNTs) used for exhaust aftertreatment of lean burn internal combustion engines. The research finds that combining Platinum, BaO, and Ceria optimizes the storage capacity and temperature dependence of the catalyst, while the Rhodium coating plays a crucial role in enhancing low-temperature storage capacity.
Article
Engineering, Environmental
Miroslav Blaz, Milan Zalud, Petr Koci, Andrew York, Christian M. Schleputz, Marco Stampanoni, Vladimir Novak
Summary: This paper introduces a new application of time-resolved X-ray tomography (XRT) in imaging the washcoating process in catalytic monolith filters. The study focuses on alumina washcoats with different particle size distributions deposited on a cordierite substrate. The results provide insights into the drying dynamics of the porous filter wall and the on-wall catalyst layer, with additional analysis on the impact of washcoat structure on filter pressure loss.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Chemistry, Applied
Enno Esser, Kim Mueller, Sven Kureti
Summary: Selective catalytic reduction (SCR) is the most common abatement technology for NOx removal from diesel exhaust. However, achieving efficient NOx reduction below 200 degrees C in low engine load scenarios is challenging with SCR. This study investigates the potential of low-temperature NOx reduction with H-2 in diesel exhaust.
TOPICS IN CATALYSIS
(2023)
Article
Chemistry, Multidisciplinary
Juan Carlos Martinez-Munuera, Javier A. Gimenez-Manogil, Roberto Matarrese, Lidia Castoldi, Avelina Garcia-Garcia
Summary: Research focused on ceria-based catalysts with copper substitutions for noble metals in the reduction of NOx under isothermal conditions in a microreactor system. Catalysts containing both copper and barium showed selectivity in the reduction process, producing N-2, NH3, and NO. Analysis of different formulations at various temperatures revealed the role of oxygen vacancies in ceria-based materials in NOx reduction product formation.
APPLIED SCIENCES-BASEL
(2021)
Article
Energy & Fuels
Chongpyo Cho, Yongjin Jung, Youngjin Shin, Youngdug Pyo, Jinyoung Jang, Youngmin Woo, Ahyun Ko, Gangchul Kim, Gyubaek Cho
Summary: The study investigated the reduction of nitrogen oxides (NOx) and N2O emissions with the selective catalytic oxidation (SCO) of an ammonia oxidation catalyst (AOC) in a urea-SCR system. Results showed that under certain operating conditions, undesirable reactions could lead to excess N2O emissions in V2O5/TiO2-based urea-SCR, while the AOC with Pt metal increased the emissions of NO, NO2, and N2O through NH3 oxidation.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Chemical
Piqiang Tan, Xiaoyu Li, Shiyan Wang, Zhiyuan Hu, Diming Lou
Summary: In this study, the failure of SCR due to a low NH3-NOx ratio was systematically investigated through experiments, with major causes including insufficient urea injection, catalyst hydrothermal aging, and urea crystallization. The NOx conversion efficiency in the SCR system was found to increase with higher NH3-NOx ratio, but with an increase in ammonia leakage. Different factors influenced NOx conversion efficiency under different NH3-NOx ratios.
CHINESE JOURNAL OF CHEMICAL ENGINEERING
(2021)
Article
Engineering, Environmental
Renyi Xie, Lei Ma, Kai Sun, Gang Zhou, Zan Qu, Naiqiang Yan
Summary: Sulfated CeO2 cubes exhibited improved catalytic performance in NH3-SCR due to the increased Bronsted acid sites created by surface sulfates, which facilitated ammonia adsorption and activation. The presence of sulfates on CeO2 cubes did not significantly alter the crystal structures, and gaseous phase NO was identified as the rate-determining step in the SCR reaction over sulfated CeO2 cubes.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Editorial Material
Thermodynamics
Antonio Piacentino, Pietro Catrini, Natasa Markovska, Zvonimir Guzovic, Brian Vad Mathiesen, Simone Ferrari, Neven Duic, Henrik Lund
Article
Thermodynamics
Hrvoje Dorotic, Tomislav Puksec, Neven Duic
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Thermodynamics
Drilon Meha, Tomislav Novosel, Neven Duic
Review
Green & Sustainable Science & Technology
Hrvoje Mikulcic, Jakov Baleta, Jiri Jaromir Klemes
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Environmental Sciences
Hrvoje Mikulcic, Xuebin Wang, Neven Duic, Raf Dewil
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2020)
Article
Physics, Multidisciplinary
Tibor Besenic, Milan Vujanovic, Jakov Baleta, Klaus Pachler, Niko Samec, Matjaz Hribersek
Article
Energy & Fuels
Ana Lovrak, Tomislav Puksec, Neven Duic
Article
Thermodynamics
Borna Doracic, Tomislav Puksec, Daniel Rolph Schneider, Neven Duic
Article
Thermodynamics
Robert Bedoic, Filip Juric, Boris Cosic, Tomislav Puksec, Lidija Cucek, Neven Duic
Article
Thermodynamics
Jin Wang, Chao Liu, Zhanming Zhao, Jakov Baleta, Bengt Sunden
ENERGY CONVERSION AND MANAGEMENT
(2020)
Article
Thermodynamics
Tibor Besenic, Jakov Baleta, Klaus Pachler, Milan Vujanovic
ENERGY CONVERSION AND MANAGEMENT
(2020)
Review
Green & Sustainable Science & Technology
H. Stancin, H. Mikulcic, X. Wang, N. Duic
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2020)
Article
Environmental Sciences
Hrvoje Mikulcic, Jakov Baleta, Xuebin Wang, Neven Duic, Raf Dewil
Summary: This paper discusses the importance of green development in energy, water, and environment systems, emphasizing the need to address environmental issues in these systems to preserve resources for future generations.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Multidisciplinary
Tomica Visak, Jakov Baleta, Zdravko Virag, Milan Vujanovic, Jin Wang, Fengsheng Qi
Summary: This study presents a multi-objective optimization of an aspirating smoke detection system using pipeline configuration variation to balance specific transport time and volume flow at the sampling points' location, resulting in improved system performance.
OPTIMIZATION AND ENGINEERING
(2021)
Article
Energy & Fuels
Zia ur Rahman, Xuebin Wang, Jiaye Zhang, Jakov Baleta, Millan Vujanovic, Houzhang Tan
Summary: Pressurized oxy-combustion is a promising technology for carbon capture, utilization, and storage in coal utilization. Experimental results show that increasing pressure can improve the efficiency of SNCR; however, increasing oxygen concentration at high pressure reduces the efficiency of SNCR.
JOURNAL OF THE ENERGY INSTITUTE
(2021)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)