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Modeling Based on the Analysis of Interval Data of Atmospheric Air Pollution Processes with Nitrogen Dioxide due to the Spread of Vehicle Exhaust Gases
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:MDPI AG
Authors: Mykola Dyvak; Iryna Spivak; Andriy Melnyk; Volodymyr Manzhula; +3 Authors
Mykola Dyvak; Iryna Spivak; Andriy Melnyk; Volodymyr Manzhula; Taras Dyvak; Artur Rot; Marcin Hernes;
doi: 10.3390/su15032163
doi: 10.3390/su15032163
The article deals with the issue of modeling taking into consideration nitrogen dioxide pollution of the atmospheric surface layer caused by vehicle exhaust gases. The interval data analysis methods were suggested. The method of identifying the mathematical model of the distribution of nitrogen dioxide as an atmospheric air pollutant based on the analysis of data with known measurement errors was proposed and grounded for the first time. The obtained mathematical model in the form of a difference equation is characterized by the guaranteed accuracy of forecasting nitrogen dioxide concentrations in a specified area of the city. It also adequately takes into account traffic changes which significantly reduces the costs of environmental control and monitoring. The proposed new model identification method is more effective in terms of computational time complexity compared to the known method and it is based on taking into account measurement errors which in the final case provides predictive properties of the model with guaranteed accuracy.
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Article . 2023 . Peer-reviewed
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Article . 2023 . Peer-reviewed
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Mathematical Model of Dynamics of Generated Electric Power by Photovoltaic Installation Taking into Account a Seasonality Factor
descriptionPublicationkeyboard_double_arrow_right Conference object , Article 2020Publisher:IEEE
Authors: Janusz Zarębski; Natalia Porplytsya; Ewa Krac; Jacek Dabrowski; +2 Authors
Janusz Zarębski; Natalia Porplytsya; Ewa Krac; Jacek Dabrowski; Krzysztof Górecki; Mykola Dyvak;
doi: 10.1109/acit49673.2020.9208889
doi: 10.1109/acit49673.2020.9208889
A task of building of a mathematical model of dynamics of generated electric power by photovoltaic installation is considered in the paper. Built interval discrete model of a real photovoltaic installation takes into account a seasonality factor. To build the model, application of a structural identification method of interval discrete models based on artificial bee colony algorithm has been proposed and justified. Numerical experiments that confirmed an efficiency of the proposed approach to building of non-autonomous models based on an interval data analysis has been conducted.
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https://doi.org/10.1109/acit49...
Conference object . 2020 . Peer-reviewed
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Conference object . 2020 . Peer-reviewed
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

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Modeling Based on the Analysis of Interval Data of Atmospheric Air Pollution Processes with Nitrogen Dioxide due to the Spread of Vehicle Exhaust Gases
descriptionPublicationkeyboard_double_arrow_right Article 2023Publisher:MDPI AG
Authors: Mykola Dyvak; Iryna Spivak; Andriy Melnyk; Volodymyr Manzhula; +3 Authors
Mykola Dyvak; Iryna Spivak; Andriy Melnyk; Volodymyr Manzhula; Taras Dyvak; Artur Rot; Marcin Hernes;
doi: 10.3390/su15032163
doi: 10.3390/su15032163
The article deals with the issue of modeling taking into consideration nitrogen dioxide pollution of the atmospheric surface layer caused by vehicle exhaust gases. The interval data analysis methods were suggested. The method of identifying the mathematical model of the distribution of nitrogen dioxide as an atmospheric air pollutant based on the analysis of data with known measurement errors was proposed and grounded for the first time. The obtained mathematical model in the form of a difference equation is characterized by the guaranteed accuracy of forecasting nitrogen dioxide concentrations in a specified area of the city. It also adequately takes into account traffic changes which significantly reduces the costs of environmental control and monitoring. The proposed new model identification method is more effective in terms of computational time complexity compared to the known method and it is based on taking into account measurement errors which in the final case provides predictive properties of the model with guaranteed accuracy.
Sustainabilityarrow_drop_down
Sustainability
Article . 2023 . Peer-reviewed
License: CC BY
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Sustainability
Article . 2023
Data sources: DOAJ
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citations 17
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Sustainabilityarrow_drop_down
Sustainability
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
Sustainability
Article . 2023
Data sources: DOAJ
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shareshareShare
citeCite
addClaim
Please grant OpenAIRE to access and update your ORCID works.
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Mathematical Model of Dynamics of Generated Electric Power by Photovoltaic Installation Taking into Account a Seasonality Factor
descriptionPublicationkeyboard_double_arrow_right Conference object , Article 2020Publisher:IEEE
Authors: Janusz Zarębski; Natalia Porplytsya; Ewa Krac; Jacek Dabrowski; +2 Authors
Janusz Zarębski; Natalia Porplytsya; Ewa Krac; Jacek Dabrowski; Krzysztof Górecki; Mykola Dyvak;
doi: 10.1109/acit49673.2020.9208889
doi: 10.1109/acit49673.2020.9208889
A task of building of a mathematical model of dynamics of generated electric power by photovoltaic installation is considered in the paper. Built interval discrete model of a real photovoltaic installation takes into account a seasonality factor. To build the model, application of a structural identification method of interval discrete models based on artificial bee colony algorithm has been proposed and justified. Numerical experiments that confirmed an efficiency of the proposed approach to building of non-autonomous models based on an interval data analysis has been conducted.
https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1109/acit49...
Conference object . 2020 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://doi.org/10.1109/ACIT49...
Article
Data sources: Microsoft Academic Graph
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citeCite
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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1109/acit49...
Conference object . 2020 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://doi.org/10.1109/ACIT49...
Article
Data sources: Microsoft Academic Graph
linkLink to
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citeCite
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Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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Energy Research
engineering and technology

Modeling Based on the Analysis of Interval Data of Atmospheric Air Pollution Processes with Nitrogen Dioxide due to the Spread of Vehicle Exhaust Gases

Mathematical Model of Dynamics of Generated Electric Power by Photovoltaic Installation Taking into Account a Seasonality Factor

Modeling Based on the Analysis of Interval Data of Atmospheric Air Pollution Processes with Nitrogen Dioxide due to the Spread of Vehicle Exhaust Gases

Mathematical Model of Dynamics of Generated Electric Power by Photovoltaic Installation Taking into Account a Seasonality Factor

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Modeling Based on the Analysis of Interval Data of Atmospheric Air Pollution Processes with Nitrogen Dioxide due to the Spread of Vehicle Exhaust Gases

Mathematical Model of Dynamics of Generated Electric Power by Photovoltaic Installation Taking into Account a Seasonality Factor

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Modeling Based on the Analysis of Interval Data of Atmospheric Air Pollution Processes with Nitrogen Dioxide due to the Spread of Vehicle Exhaust Gases

Mathematical Model of Dynamics of Generated Electric Power by Photovoltaic Installation Taking into Account a Seasonality Factor

Energy Research
engineering and technology