Edumania-An International Multidisciplinary Journal
Vol-03, Issue-01 (Jan-Mar 2025)
An International scholarly/ academic journal, peer-reviewed/ refereed journal, ISSN : 2960-0006
A Review on Smart Solutions for A Sustainable World: How Computer Science Is Shaping the Future of Energy and Climate Action
Garg, Komal
Assistant Professor, Department of Computer Science and Engineering, NIILM University, Kaithal (Haryana) India
Page Number: pp. 285-291
Subject: Computer Science / Sustainable Technology / Climate Science / Energy Systems
Received: Nov 11, 2024
Accepted: Dec 18, 2024
Published: Jan 01, 2025
Thematic Classification: Green Computing; Sustainable Technology; Climate Action; Smart Energy Systems
Abstract
As the world grapples with the urgent challenges of climate change and the transition to sustainable energy, computer science is emerging as a critical enabler of innovation and efficiency in the energy and environmental sectors. This paper explores how cutting-edge computational techniques are shaping the future of energy production, consumption, and climate action. Key advancements in artificial intelligence (AI), machine learning (ML), big data analytics, and the Internet of Things (IoT) are being leveraged to optimize renewable energy systems, enhance energy storage solutions, predict climate patterns, and improve resource management. The integration of these technologies is not only accelerating the adoption of cleaner energy alternatives but also helping to create smarter, more resilient grids, reduce carbon footprints, and support real-time decision-making for sustainable development. The paper highlights case studies from around the globe that demonstrate the potential of computer science in mitigating climate risks, improving energy efficiency, and fostering a sustainable, low-carbon economy. Ultimately, it argues that the convergence of computer science and sustainability presents a transformative opportunity to address the most pressing environmental challenges of the 21st century.
Keywords: Computer Science, Sustainability, Renewable Energy, Climate Change, Artificial Intelligence, Machine Learning, Big Data, Internet of Things, Energy Efficiency, Smart Grids, Carbon Footprint, Climate Action, Environmental Technology, Clean Energy, Resource Management.
Impact Statement
The research underscores the transformative potential of computer science in driving sustainable solutions to climate change and energy challenges. By leveraging advanced computational techniques, this work demonstrates how AI, machine learning, big data, and IoT can optimize renewable energy systems, enhance energy storage, and improve climate predictions. The impact of this research is far-reaching, providing the tools necessary to accelerate the transition to a low-carbon economy and enhance energy efficiency at both global and local scales. Through real-time data analytics, smarter energy grids, and optimized resource management, this research supports a more resilient and sustainable future, reducing carbon footprints and fostering a cleaner, more efficient energy landscape. By highlighting real-world case studies, the research not only offers practical solutions but also serves as a catalyst for future innovation in the convergence of technology and environmental stewardship. Ultimately, the findings contribute to global efforts to mitigate climate risks and ensure a more sustainable, equitable future for generations to come.
About The Author
Er. Komal Garg
Assistant Professor(CSE) Siwan, Kaitha
Research Area & PUBLISHING:
Cocomo model (test optimizing techniques)
Enhancement in COCOMO Model Using Function Point Analysis to Increase Effort Estimation.
ENHANCING FAULT TOLERANCE AND REROUTING
STRATEGIES IN MPLS NETWORKS.
Estimation in software development in COCOMO-I and functional point analysis.
From farming to digitalization: An overview of olden Haryana.
A Study of Digital Image Processing Innovations and its Impact on Real World
Role of Information Technology in skill Development.
Attended many national and international conferences.
Certification of paper presentation AI AND Multidisciplinary: paving the way for sustainable solutions in 21st century in international conference.
Co-ordinate technical session of one Day International Multidisciplinary Conference on “Contemporary Trends in Humanities, Social Sciences, Sciences, and Technology in the Global World” on December 20,2024 at M.D.S.D. College Ambala City, Haryana
Co-ordinate international conference of Teachers Training College, Bhagalpur, Bihar India, in collaboration with International Council for Education, Research and Training (ICERT), India & USA, are organizing One Day International Multidisciplinary Conference on “Multidisciplinary Approaches to SDGs and Youth Empowerment for Sustainable Development” on January 12, 2025 in online mode.
Qualification
10th :- Passed Out In 2005 With 68.03 % from GSSS siwan.
12th:- Passed Out With 58 % In 2007 From RKSD School Kaithal.
Btech:- Passed Out From HCTM Kaithal With 67.02%.
Mtech:- passed out in 2014 from GNI MULLANA with 65.02%.
Experience
1. Three Year Experience as an assistant professor of COMPUTER DEPARTMENT in R.K.S.D. (P.G) College Kaithal Haryana from July, 2014 to August,2017.
2. Three Year Experience as a Vocational Trainer in IT/ITeS GSSS GUHLA, Cheeka Haryana from August, 2017 to June , 2020.
3. One Year Experience as an assistant professor of COMPUTER DEPARTMENT in R.K.S.D. (P.G) College Kaithal Haryana from September ,2023 to April, 2024.
Cite this Article
APA: Garg, K. (2025). A Review on Smart Solutions for A Sustainable World: How Computer Science Is Shaping the Future of Energy and Climate Action. Edumania-An International Multidisciplinary Journal, 03(01), 285–291. https://doi.org/10.59231/edumania/9112
MLA: Garg, Komal. “A Review on Smart Solutions for A Sustainable World: How Computer Science Is Shaping the Future of Energy and Climate Action.” Edumania-An International Multidisciplinary Journal, vol. 03, no. 01, 2025, pp. 285–291. Crossref, doi:10.59231/edumania/9112.
Chicago: Garg, Komal. “A Review on Smart Solutions for A Sustainable World: How Computer Science Is Shaping the Future of Energy and Climate Action.” Edumania-An International Multidisciplinary Journal 03, no. 01 (January 2025): 285–291. https://doi.org/10.59231/edumania/9112.
Statements & Declarations
Peer Review: This article has undergone a double-blind peer review process, conducted by experts in Computer Science, Sustainable Technology, and Climate Informatics.
Competing Interest: The author, Komal Garg, declares no competing interests.
Data Availability: This is a review article based on synthesis of published research and technological case studies. All sources are cited in the manuscript.
Funding: No funding was received for this research.
License: This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0.
Ethical Approval: Ethical approval was not required for this review article as it did not involve human participants, primary data collection, or sensitive information. The research complies with ethical guidelines for scholarly publishing in computer science and sustainability research, with proper attribution to all original sources.
References
United Nations global compact. (2022). AI for good: Harnessing artificial intelligence to achieve the SDGs. United Nations Global Compact.
Almeida, P., & Costa, A. (2020). Smart grids: Cloud computing, Internet of things, and big data. CRC Press.
Chien, S., & Lin, K. (2020). The role of artificial intelligence in renewable energy systems. Renewable and Sustainable Energy Reviews, 119, Article 109598.
Dignum, V. (2019). Responsible AI: Designing AI for human values. Springer.
Eren, S., & Bekiroglu, Y. (2021). Blockchain technology for energy systems: Applications and challenges. Energy, 229, Article 120631.
European Commission. (2022). Digitalization for green transition: How technology can help achieve climate goals. European Commission, directorate-general for communications.
GreenBiz. (2022). Smart cities and the future of sustainability.
Gusmeroli, S., Lippiello, V., & Lippiello, S. (2022). Sustainability in the energy and environment: The role of artificial intelligence and computer science. Springer.
MIT’s Technology Review. (2022). The role of blockchain in accelerating the transition to a low-carbon economy.
CM International Conference on Computing for Sustainable Global Development (CompSust). (2021). Proceedings of the ACM CompSust Conference.
ACM International Conference on Computing for Sustainable Global Development (CompSust). (2021). Proceedings of the ACM CompSust Conference.
IEEE International Conference on Smart Grid Communications (SmartGridComm). (2021). Proceedings of the IEEE SmartGridComm Conference.
Röhrich, J., & Bapna, R. (2021). Sustainable computing: Energy-efficient algorithms and computing systems. Journal of Cleaner Production, 279, Article 123238.
Sarkar, S. (2019). Blockchain for sustainable and inclusive finance: Energy, environment, and climate. Springer.
United States Department of Energy (DOE). (2020). Artificial intelligence for earth system prediction and energy efficiency. United States Department of Energy, Office of Science.
World Economic Forum. (2020). Blockchain for the global goals: A framework for impact. World Economic Forum.
Zhao, J., & He, Y. (2022). AI and IoT for smart cities: Leveraging data for environmental sustainability. Computers, Environment and Urban Systems, 94, Article 101806.
Zhou, K., & Yang, S. (2021). AI and IoT in smart cities: The role of technology in energy and sustainability. Springer.
Mishra, S., & Gupta, S. (2023). Atal tinkering labs and the global notion of STEM education. Shodh Sari-An International Multidisciplinary Journal, 02(04), 131–137. https://doi.org/10.59231/sari7629