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

Year : 2025 | Volume : 03 | Issue : 01 | Page : 22 30
    By

    Rakesh Prasad,

  • Harendra Singh,

  • Rishab Mehrotra,

  • Prem Prakash Pandit,

  1. Assistant Professor, Department of Mechanical Engineering, Hindustan College of Science and Technology, Mathura,, Uttar Pradesh, India
  2. Professor, Department of Mathematics, Hindustan College of Science and Technology, Mathura, Uttar Pradesh, India
  3. Student, IPS College of Technology & Management, Gwalior, Madhya Pradesh, India
  4. Assistant Professor, Department of Mechanical Engineering, IPS College of Technology and Management, Bela, Gwalior, Madhya Pradesh, India

Abstract

The transportation sector, and the automotive industry in particular, has grown significantly over the last ten years. However, these quick advancements have also brought about important problems that require workable answers. The problem of carbon emission is responsible for global warming due to greenhouse gas emission. The present work is focused on CO2 emission from public and personal transport within Agra city 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 utilization (CCU) are two approachable ways to overcome this issue. The usage of microalgae in CCU is possible because of its ability to use CO2 as building block of some useful items such as biofuels, biomaterial, and electricity. Based on R2 accuracy, different machine learning models 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, carbon capture and utilization (CCU)

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

How to cite this article:
Rakesh Prasad, Harendra Singh, Rishab Mehrotra, Prem Prakash Pandit. A Machine learning approach to asses carbon emission, utility to produce biomaterial. International Journal of Advanced Control and System Engineering. 2025; 03(01):22-30.
How to cite this URL:
Rakesh Prasad, Harendra Singh, Rishab Mehrotra, Prem Prakash Pandit. A Machine learning approach to asses carbon emission, utility to produce biomaterial. International Journal of Advanced Control and System Engineering. 2025; 03(01):22-30. Available from: https://journals.stmjournals.com/ijacse/article=2025/view=202034


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Regular Issue Subscription Original Research
Volume 03
Issue 01
Received 27/01/2025
Accepted 18/02/2025
Published 25/02/2025
Publication Time 29 Days
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