Assessing and Quantifying Energy-Related CO2 Emissions Across Scenarios to Anticipate Future Trends

Sunil Kumar Pareek , Vipin Kumar

CO2 emissions, energy scenarios, forecasting, decarbonization, sustainability, energy planning

Energy-related CO2 emissions still represent the most influential contributor to climate change. As global population and industrial activity continue to increase, understanding the trajectory of emissions becomes important for making climate mitigation policies and energy planning. This work analysed CO2 emissions across a range of energy scenarios to estimate the present and future effects of energy-related emissions. It measured patterns of rates of energy consumption, average emission rates, and decarbonization pathways. By utilizing recent datasets and analyses from global agencies and peer-reviewed journals, this work provides comparative insights into emissions trajectories derived from the definition of different scenarios. We found that cleaner technologies and effective policy implementation can make a meaningful difference in reducing future emissions. Emission projections from business-as-usual approach will be significant, suggesting the need for global shifts in the near future.

Published Paper   E-Certificate

"Assessing and Quantifying Energy-Related CO2 Emissions Across Scenarios to Anticipate Future Trends", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 7, page no.b188-b196, July-2025, Available :https://ijsdr.org/papers/IJSDR2507125.pdf

Volume 10 Issue 7, July-2025

Pages : b188-b196

Paper Reg. ID: IJSDR_304169

Published Paper Id: IJSDR2507125

Downloads: 000521

Research Area: Science and Technology

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2507125

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2507125

DOI: https://doi.org/10.56975/ijsdr.v10i7.304169

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition