Jaroslaw Krzywanski

Overview

Best Publications

• Polyhedral meshing in numerical analysis of conjugate heat transfer

  Marcin Sosnowski;Jaroslaw Krzywanski;Karolina Grabowska;Renata Gnatowska

  154
  Citations

• Chemical Looping Combustion: A Brief Overview

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  116
  Citations

• Polyhedral meshing as an innovative approach to computational domain discretization of a cyclone in a fluidized bed CLC unit

  Marcin Sosnowski;Jaroslaw Krzywanski;Renata Gnatowska

  109
  Citations

• Optimization of a three-bed adsorption chiller by genetic algorithms and neural networks

  J. Krzywanski;K. Grabowska;F. Herman;P. Pyrka

  106
  Citations

• New hybrid photovoltaic-fuel cell system for green hydrogen and power production: Performance optimization assisted with Gaussian process regression method

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  91
  Citations

• Advanced Computational Methods for Modeling, Prediction and Optimization—A Review

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  87
  Citations

• Modeling of solid fuels combustion in oxygen-enriched atmosphere in circulating fluidized bed boiler: Part 1. The mathematical model of fuel combustion in oxygen-enriched CFB environment

  Jaroslaw Krzywanski;Tomasz Czakiert;Waldemar Muskala;Robert Sekret

  80
  Citations

• Genetic algorithms and neural networks in optimization of sorbent enhanced H2 production in FB and CFB gasifiers

  Jaroslaw Krzywanski;Hongtao Fan;Yi Feng;Abdul Rahim Shaikh

  79
  Citations

• A generalized model of SO2 emissions from large- and small-scale CFB boilers by artificial neural network approach

  J. Krzywanski;T. Czakiert;A. Blaszczuk;R. Rajczyk

  79
  Citations

• Effect of bed particle size on heat transfer between fluidized bed of group b particles and vertical rifled tubes

  Artur Blaszczuk;Wojciech Nowak;Jaroslaw Krzywanski

  77
  Citations

• Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)

  Dorian Skrobek;Jaroslaw Krzywanski;Marcin Sosnowski;Anna Kulakowska

  75
  Citations

• Implementation of deep learning methods in prediction of adsorption processes

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  75
  Citations

• Towards enhanced heat and mass exchange in adsorption systems: The role of AutoML and fluidized bed innovations

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  73
  Citations

• Construction of an innovative adsorbent bed configuration in the adsorption chiller - Selection criteria for effective sorbent-glue pair

  Karolina Grabowska;Jaroslaw Krzywanski;Wojciech Nowak;Marta Wesolowska

  72
  Citations

• Safety and environmental reasons for the use of Ni-, Co-, Cu-, Mn- and Fe-based oxygen carriers in CLC/CLOU applications: An overview

  Kamil Idziak;Tomasz Czakiert;Jaroslaw Krzywanski;Anna Zylka

  71
  Citations

• Modelling of CO2, CO, SO2, O2 and NOx emissions from the oxy-fuel combustion in a circulating fluidized bed

  J. Krzywański;T. Czakiert;W. Muskała;W. Nowak

  71
  Citations

• CO2 Capture by Virgin Ivy Plants Growing Up on the External Covers of Houses as a Rapid Complementary Route to Achieve Global GHG Reduction Targets

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  68
  Citations

• A generalized model of SO2 emissions from large- and small-scale CFB boilers by artificial neural network approach Part 2. SO2 emissions from large- and pilot-scale CFB boilers in O2/N2, O2/CO2 and O2/RFG combustion atmospheres

  J. Krzywanski;T. Czakiert;A. Blaszczuk;R. Rajczyk

  67
  Citations

• Heat and mass transfer prediction in fluidized beds of cooling and desalination systems by AI approach

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  67
  Citations

• A comparison of fuzzy logic and cluster renewal approaches for heat transfer modeling in a 1296 t/h CFB boiler with low level of flue gas recirculation

  Artur Błaszczuk;Jarosław Krzywański

  65
  Citations

• Strategic-level performance enhancement of a 660 MWe supercritical power plant and emissions reduction by AI approach

  Waqar Muhammad Ashraf;Waqar Muhammad Ashraf;Ghulam Moeen Uddin;Syed Muhammad Arafat;Syed Muhammad Arafat;Jaroslaw Krzywanski

  55
  Citations

• Experimental Study of Three-Bed Adsorption Chiller with Desalination Function

  Karol Sztekler;Wojciech Kalawa;Wojciech Nowak;Lukasz Mika

  53
  Citations

• Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management Part 1. Thermal Efficiency

  Waqar Muhammad Ashraf;Ghulam Moeen Uddin;Syed Muhammad Arafat;Sher Afghan

  52
  Citations

• A General Approach in Optimization of Heat Exchangers by Bio-Inspired Artificial Intelligence Methods

  Jaroslaw Krzywanski

  51
  Citations

• Modeling of bed-to-wall heat transfer coefficient in a large-scale CFBC by fuzzy logic approach

  Jaroslaw Krzywanski;Wojciech Nowak

  47
  Citations

• Modeling of heat transfer coefficient in the furnace of CFB boilers by artificial neural network approach

  Jaroslaw Krzywanski;Wojciech Nowak

  47
  Citations

• A 1.5D model of a complex geometry laboratory scale fuidized bed clc equipment

  Jaroslaw Krzywanski;A. Żylka;T. Czakiert;K. Kulicki

  42
  Citations

• Modeling of a re-heat two-stage adsorption chiller by AI approach

  Jaroslaw Krzywanski;Karolina Grabowska;Marcin Sosnowski;Anna Żyłka

  36
  Citations