A Machine learning approach to asses’ carbon emission, utility to produce biomaterial


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Year : 2025 | Volume : 03 | Issue : 01 | Page : –
    By

    Dr. R. PRASAD,

  • Rishab Mehrotra,

  • Prem Prakash Pandit,

  • Harendra Singh Chauhan,

  1. Assistant Professor, Department of Mechanical Engineering, Hindustan College of Science & Technology Mathura, Uttar Pradesh, India
  2. Student, Department of Mechanical Engineering, IPS College of Technology & Management Gwalior, Bela, Madhya Pradesh, India
  3. Assistant Professor, Department of Mechanical Engineering, IPS College of Technology & Management Gwalior, Bela, Madhya Pradesh, India
  4. Professor, Department of, Mathematics, Hindustan College of Science & Technology Mathura, Uttar Pradesh, India: Carbon capturing; Machine Learning; Biomaterial, CO2, CCU etc

Abstract

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Over the last decade progressive approach throughout the country transport sector especially automotive field leading a major problem. The problem of Carbon emission which is responsible for global warming due to greenhouse gas emission. Present work is focused on CO2 emission from public and personal transport within the city Agra on a real time basis. In the context of emission of carbon its storage and utility in different form is a technically practicable operative strategy. Under this Carbon Capturing and Storage (CCS) and Carbon Capturing and Utilisation (CCU) are two approachable ways to overcome this issue. The usage of microalgae in Carbon Capture and Utilisation (CCU) because of its ability to use CO2 as building block of some useful items such as biofuels, biomaterial and electricity. Based on R2 accuracy, among different machine learning model were studied for better prediction of carbon emission in a training time reduction for an opted model. Further investigation of biomaterial formation of microalgae with some process parameters are suggested as temperature of incubation 29oC, pH 6.4, and acetate concentration has been recorded between 2.1 and 1.56 g L–1 and of ammonium chloride has been recorded between 0.6 and 2.1 g L–1.

Keywords: Carbon capturing; Machine Learning; Biomaterial, CO2, CCU etc

[This article belongs to International Journal of Advanced Control and System Engineering (ijacse)]

How to cite this article:
Dr. R. PRASAD, Rishab Mehrotra, Prem Prakash Pandit, Harendra Singh Chauhan. A Machine learning approach to asses’ carbon emission, utility to produce biomaterial. International Journal of Advanced Control and System Engineering. 2025; 03(01):-.
How to cite this URL:
Dr. R. PRASAD, Rishab Mehrotra, Prem Prakash Pandit, Harendra Singh Chauhan. A Machine learning approach to asses’ carbon emission, utility to produce biomaterial. International Journal of Advanced Control and System Engineering. 2025; 03(01):-. Available from: https://journals.stmjournals.com/ijacse/article=2025/view=0


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Regular Issue Subscription Case Study
Volume 03
Issue 01
Received 27/01/2025
Accepted 18/02/2025
Published 25/02/2025
Publication Time 29 Days
136

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