A5082322854- Adsorption and Cooling Systems
- Heat Transfer and Optimization
- Refrigeration and Air Conditioning Technologies
- Thermochemical Biomass Conversion Processes
- Chemical Looping and Thermochemical Processes
- Iron and Steelmaking Processes
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Coal Combustion and Slurry Processing
- Renewable energy and sustainable power systems
- Combustion and flame dynamics
- Industrial Gas Emission Control
- Granular flow and fluidized beds
- Oil, Gas, and Environmental Issues
- Heat transfer and supercritical fluids
- Radiative Heat Transfer Studies
- Cyclone Separators and Fluid Dynamics
- Energy Load and Power Forecasting
- Solar-Powered Water Purification Methods
- Carbon Dioxide Capture Technologies
- Engine and Fuel Emissions
- Wind and Air Flow Studies
- Air Quality Monitoring and Forecasting
- Advanced Combustion Engine Technologies
- Spacecraft and Cryogenic Technologies
- Thermal and Kinetic Analysis
Jan Długosz University
2015-2024
Częstochowa University of Technology
2009-2014
Nagoya University
1995
The current development of chemical looping combustion (CLC) technology is presented in this paper. This technique energy conversion enables burning hydrocarbon fuels with dramatically reduced CO2 emission into the atmosphere, since inherent separation carbon dioxide takes place directly a unit. In beginning, general idea CLC process described, which advantage solids (so-called oxygen carriers) being able to transport between air and fuel. main groups carriers (OC) are characterized...
Computational methods have been widely applied in conjugate heat transfer analysis. The very first and crucial step such research is the meshing process which consists dividing analysed geometry into numerous small control volumes (cells). In Fluid Dynamics (CFD) applications it desirable to use hexahedral cells as resulting mesh characterized by low numerical diffusion. Unfortunately generating can be a time-consuming task case of complicated - may not possible generate good quality....
Chemical Looping Combustion (CLC) is a technology that allows the separation of CO2, which generated by combustion fossil fuels. The majority process designs currently under investigation are systems coupled fluidized beds. Advances in development power generation system using CLC cannot be introduced without numerical modelling as research tool. primary and critical activity computational domain discretization. It influences diffusion well convergence model therefore overall accuracy...
Global CO2 concentration level in the air is unprecedently high and should be rapidly significantly reduced to avoid a global climate catastrophe. The work indicates possibility of quickly lowering impact changes that have already happened those we know will happen, especially terms emitted stored atmosphere, by implanting virgin ivy plant on available area walls roofs houses. proposed concept reducing from atmosphere one technologies with significant potential for implementation entirely...
Chemical looping combustion (CLC) is one of the most advanced technologies allowing for reduction in CO2 emissions during solid fuels. The modified method combines chemical with oxygen uncoupling (CLOU) and situ gasification (iG-CLC). As a result, an innovative hybrid came into existence, making above two complementary. Since complexity CLC still not sufficiently recognized, study this process practical significance. paper describes experiences modelling complex geometry equipment....
Augmentation of energy efficiency in the power generation systems can aid decarbonizing sector, which is also recognized by International Energy Agency (IEA) as a solution to attain net-zero from sector. With this reference, article presents framework incorporating artificial intelligence (AI) for improving isentropic high-pressure (HP) steam turbine installed at supercritical plant. The data operating parameters taken 660 MW coal-fired plant well-distributed input and output spaces...
The disproportionate use of petroleum products and stringent exhaust emissions has emphasized the need for alternative green fuels. Although several studies have been conducted to ascertain performance acetone-gasoline blends in spark-ignition (SI) engines, limited work done determine influence fuel on lubricant oil deterioration. current study fills gap through testing by running engine 120 h pure gasoline (G) with 10% volume acetone (A10). Compared gasoline, A10 produced better results...
Abstract Adsorption cooling and desalination systems have a distinct advantage over other that use low‐grade waste heat near ambient temperature. Since improving their performance, including reliability failure prediction, is challenging, developing an efficient diagnostic system of great practical significance. The paper introduces artificial intelligence (AI) automated machine learning approach (AutoML) in real‐life application for computational existing adsorption facilities. A total 1769...
The paper introduces the artificial intelligence (AI) approach for modeling fluidized adsorption beds. idea of bed application allows a significantly increased heat transfer coefficient between and surface exchanger, improving performance cooling desalination systems. Long Short-Term Memory (LSTM) network algorithm was used, classified as deep learning method, to predict vapor mass quantity in bed. research used an LSTM with two hidden layers. study is composed seven inputs (absolute...
Energy efficiency is one of the most important topics nowadays. It strictly related to energy demand, policy, environmental pollution, and economic issues. can be increased operating costs reduced by using waste heat from other processes. One possibilities use sorption chillers produce chilled water desalinated water. Low-temperature not easy utilize because low potential. Using adsorption in low-temperature conditions allows utilizing producing useful products many regions world. The paper...
The paper introduces the artificial intelligence (AI) approach as a general method for design and optimization study of heat exchangers. Genetic Algorithms (GA) Artificial Neural Networks (ANN) are applied in paper. An AGENN model, combining with Networks, was developed validated against desired data on large falling film evaporator. A broad range operating conditions geometric configurations considered study. Four kinds tubes deliberated, including plain enhanced tubes. Different tube pass...
This paper presents a comprehensive step-wise methodology for implementing industry 4.0 in functional coal power plant. The overall efficiency of 660 MWe supercritical coal-fired plant using real operational data is considered the study. Conventional and advanced AI-based techniques are used to present visualization. Monte-Carlo experimentation on artificial neural network (ANN) least square support vector machine (LSSVM) process models interval adjoint significance analysis (IASA) performed...
Road transportation has received the attention of researchers due to its higher carbon footprint. Alternative fuels present major advantages in terms environmental sustainability. For this reason, an enviro-economic analysis alternative carries great significance. However, scarce attempts have been rendered order ascertain impact a hydroxy gas (HHO) and compressed natural (CNG) mixture on sustainable development. The current study addresses issue by employing HHO–CNG gasoline spark ignition...