Article
Chemistry, Multidisciplinary
Stefano Beccari
Summary: This research proposes the implementation of a hydrogen-fueled engine in a hybrid electric vehicle to improve engine efficiency and reduce emissions. Numerical simulations show that the hydrogen-fueled engine has a 17% increase in efficiency and a 15% reduction in energy consumption compared to a gasoline-fueled engine.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Lucian Miron, Radu Chiriac, Marek Brabec, Viorel Badescu
Summary: Ignition delay is crucial in characterizing combustion process in Diesel engines, depending on fuel structure, engine conditions, and influence on performance. Biofuels like biodiesel B7 and B20 are of interest due to depletion of petroleum resources, with studies comparing their ignition delay to improve combustion control.
Article
Multidisciplinary Sciences
A. Cernat, C. Pana, N. Negurescu, C. Nutu, D. Fuiorescu, G. Lazaroiu
Summary: The study validates the use of hydrogen as an alternative fuel for internal combustion engines, showing improvements in energetic and emissions performance. Experimental results demonstrate an increase in maximum pressure, combustion speed, and thermal efficiency. Furthermore, there is a significant reduction in CO2, NOx, and smoke emissions.
Article
Energy & Fuels
Francisco Velasquez-SanMartin, Xabier Insausti, Marta Zarraga-Rodriguez, Jesus Gutierrez-Gutierrez
Summary: This paper proposes a mathematical model for analyzing fuel consumption during aircraft cruise, which provides performance parameters close to reality. The model can also improve the calculation of carbon dioxide emissions for different routes by using the closed-form formula for fuel flow rate.
Article
Thermodynamics
Jose Ramon Serrano, Jaime Martin, Pedro Piqueras, Roberto Tabet, Javier Gomez
Summary: This study experimentally analyzes the effects of ambient humidity on the performance and pollutant emissions of a compression-ignition engine under high altitude and high temperature conditions. The results show that increasing the ambient humidity can significantly reduce NOx emissions and has a smaller impact on particulate matter emissions compared to using exhaust gas recirculation. However, the slowdown of the combustion process as fresh air humidity increases leads to an increase in specific fuel consumption.
Article
Chemistry, Physical
G. M. Pinto, T. A. Z. de Souza, R. B. R. da Costa, L. F. A. Roque, G. V. Frez, C. J. R. Coronado
Summary: This study investigates the use of hydrogen port-injection in a four-stroke single-cylinder compression ignition engine operating with renewable diesel-like fuels HVO and farnesane. The results show that hydrogen addition can reduce PM, CO, and CO2 emissions but increase NOx emissions. Moreover, both HVO and farnesane decrease pollutant emissions compared to fossil diesel in single and dual-fuel operations.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Energy & Fuels
Wanchen Sun, Yi Sun, Liang Guo, Hao Zhang, Yuying Yan, Wenpeng Zeng, Shaodian Lin
Summary: CTL/n-butanol blends improve fuel-gas mixture distribution and increase premixed combustion ratio in the cylinder. Furthermore, through synergistic control of n-butanol addition and EGR, the tradeoff relationship between NOx and particles is mitigated.
Article
Energy & Fuels
Luis Tipanluisa, Natalia Fonseca, Jesus Casanova, Jose-Maria Lopez
Summary: This study investigates the effects of different n-butanol/diesel fuel blends on a Euro V heavy-duty diesel engine's performance and emissions. The results show that using n-butanol can improve engine performance and reduce particulate emissions in most operating conditions, while increasing CO emissions. The study also indicates that THC emissions increase with n-butanol content, while NO2 emissions decrease.
Article
Green & Sustainable Science & Technology
Ali Alahmer, Hussein Alahmer, Ahmed Handam, Hegazy Rezk
Summary: The environmental effects of biodiesel blends made of different vegetable oils on diesel engine emissions and noise were assessed through a series of tests. A prediction framework and a regression model optimized by the grey wolf optimization algorithm were developed to determine the optimal engine speed and fuel type for reducing emissions and maximizing engine performance. The experimental and optimization results showed that biodiesel blends generally had lower emissions of unburned hydrocarbon, carbon dioxide, and carbon monoxide compared to diesel fuel, but higher nitrogen oxide emissions. The noise level produced by biodiesel, especially palm biodiesel, was lower than that of pure diesel. The proposed PR-GWO model exhibited remarkable predictive reliability and could be used to predict and maximize engine performance while minimizing exhaust and noise emissions.
Article
Environmental Sciences
Jianhui Bao, Pingping Qu, Huaiyu Wang, Chunyu Zhou, Liang Zhang, Cheng Shi
Summary: This study investigates the effects of different piston bowl designs on the performance and pollutant emissions of pilot spray-ignited natural gas engines. The results show that different chamber shapes slightly affect the combustion initiation and in-cylinder pressure. Increasing the recess depth of combustion chambers reduces NOx formations but sacrifices fuel economy.
Article
Energy & Fuels
Johannes Ritzmann, Oscar Chinellato, Richard Hutter, Christopher Onder
Summary: The study demonstrates the potential for improving the trade-off between fuel consumption and tailpipe NOx emissions through VEC in both conventional vehicles and HEVs. By utilizing preoptimization and dynamic programming, the optimal trade-off points can be efficiently found. VEC significantly reduces fuel consumption and NOx emissions in conventional vehicles, achieving improvements in both areas.
Article
Thermodynamics
Gintaras Valeika, Jonas Matijosius, Alfredas Rimkus
Summary: The research demonstrates that adding biobutanol to biodiesel can improve the engine's environmental characteristics but also increases NOx emissions. Using EGR can reduce NOx emissions but decrease the engine's thermal efficiency and fuel economy.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Yi Sun, Wanchen Sun, Liang Guo, Hao Zhang, Yuying Yan, Wenpeng Zeng, Shaodian Lin
Summary: The blending of CTL with gasoline improves combustion performance and reduces emissions in CI engines, with the addition of exhaust gas recirculation and adjustments in start of injection allowing for clean combustion. The mixture results in higher premixed combustion ratio and lower NOx and soot emissions, while also effectively reducing particulate emissions and improving engine characteristics. Coupling EGR and gasoline addition is an effective strategy to balance NOx and particulate emissions for CTL.
Article
Energy & Fuels
Wanchen Sun, Wenpeng Zeng, Liang Guo, Hao Zhang, Yuying Yan, Shaodian Lin, Genan Zhu, Yi Sun
Summary: This study investigates the use of coal to liquid (CTL) as an alternative fuel in internal combustion engines. The results show that the gasoline/CTL RCCI mode has a higher proportion of low-temperature heat release (LTHR) and a shorter ignition delay (ID) compared to the gasoline/diesel RCCI mode. Increasing the intake flow rate can solve the problem of high accumulation mode particles caused by CTL. When using high cetane number (CN) CTL as a pilot fuel, the combustion is more stable and achieves higher thermal efficiency.
Article
Thermodynamics
J. E. Avalos-Patino, S. Dargaville, S. J. Neethling, M. D. Piggott
Summary: The study examines the effects of an inhomogeneous unsteady participating media on combined convection-radiation in a rectangular enclosure, highlighting the importance of different gas modelling approaches. A new non-uniform discretisation method for the absorption distribution function is introduced to improve model performance.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Thermodynamics
Filip Juric, Zvonimir Petranovic, Milan Vujanovic, Tomaz Katrasnik, Rok Vihar, Xuebin Wang, Neven Duic
ENERGY CONVERSION AND MANAGEMENT
(2019)
Article
Thermodynamics
Robert Bedoic, Filip Juric, Boris Cosic, Tomislav Puksec, Lidija Cucek, Neven Duic
Article
Thermodynamics
Filip Juric, Marija Stipic, Niko Samec, Matjaz Hribersek, Stanislav Honus, Milan Vujanovic
Summary: The study compares and validates the flamelet generated manifold (FGM) and Three-zones extended coherent flame model (ECFM-3Z) for multiphase reactive processes inside compression ignition engines. Both models show differences in predicting ignition delay and combustion processes for single and multiple injection strategies, and demonstrate good predictive capabilities on nitric oxide emission trends.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Thermodynamics
Boris Hrncic, Antun Pfeifer, Filip Juric, Neven Duic, Vladan Ivanovic, Igor Vusanovic
Summary: The European Union has adopted a European Green Deal aiming for zero net emissions by 2050. This paper investigates the possibility of achieving a 100 % renewable energy system, using Montenegro as a case study. Results show that with energy efficiency measures, energy storage systems, and demand response balancing, a 100 % renewable energy system is achievable.
Article
Energy & Fuels
Filip Juric, Pedro J. Coelho, Peter Priesching, Neven Duic, Stanislav Honus, Milan Vujanovic
Summary: This study implemented and validated the spectral line-based weighted-sum-of-gray-gases (SLW) model for calculating soot and gas radiation in internal combustion engines. By comparing experimental results with simulation results, it was shown that the SLW model can improve the accuracy of radiative absorption, combustion characteristics, and pollutant emissions.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Filip Juric, Marko Ban, Peter Priesching, Carsten Schmalhorst, Neven Duic, Milan Vujanovic
Summary: The research focuses on reducing the impact of the transport sector on climate change and carbon dioxide emissions by utilizing biofuels and e-fuels, with the development and validation of combustion models to generate lookup databases for autoignition and laminar flame speeds under different conditions.
Article
Computer Science, Artificial Intelligence
Fran Huzjan, Filip Juric, Sven Loncaric, Milan Vujanovic
Summary: This paper proposes a method for spray macroscopic parameter estimation that achieves state-of-the-art results. Image segmentation is performed to separate the spray from the rest of the image, and then the macroscopic parameters are estimated from the segmented image. The evaluation of the proposed method shows that Min U-Net achieves a mean dice coefficient of 0.95 with an inference time of 11.94 ms/image, and the estimation of spray macroscopic parameters is highly accurate.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Thermodynamics
Filip Juric, Manuel Krajcar, Neven Duic, Milan Vujanovic
Summary: In an effort to reduce carbon dioxide emissions, carbon-neutral biofuels, produced from non-edible and algal biomass, are gaining attention as alternatives to fossil fuels. This research employed numerical analysis to examine the combustion and pollutant formation characteristics of various biofuel generations. The results showed a decrease in nitrogen oxides (NO) emissions when using biodiesel/diesel mixtures compared to conventional fuel, with higher concentrations of NO found on the outer edges of the cylinder wall due to more intense combustion.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Fran Huzjan, Filip Juric, Milan Vujanovic, Sven Loncaric
Summary: Spray strategies have a significant impact on engine efficiency, combustion process, and gas emissions. These strategies are determined by parameters such as nozzle diameter, injection pressure, chamber pressure, and cylinder type, which in turn determine the spray shape. Spray shape is established by three main macroscopic parameters: cone angle, penetration length, and spray area.
PROCEEDINGS OF 2023 8TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING TECHNOLOGIES, ICMLT 2023
(2023)
Article
Thermodynamics
Filip Juric, Milan Vujanovic, Marija Zivic, Mario Holik, Xuebin Wang, Neven Duic
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)