CORPORATION'S CARBON NEUTRALITY INITIATIVE: THE ROLE OF DATA ENGINEERING IN DRIVING SUSTAINABILITY
Keywords:
Data Engineering For Sustainability, Carbon Neutrality, Environmental Monitoring Systems, Supply Chain Optimization, Renewable Energy ManagementAbstract
The corporation has embarked on an ambitious initiative to achieve carbon neutrality across its entire value chain by the end of this decade. At the heart of this transformation lies the strategic implementation of advanced data engineering techniques, enabling precise carbon accounting, optimized supply chain operations, and innovative energy management solutions. This comprehensive article explores the pivotal role of data engineering in advancing Corporation's sustainability objectives while creating broader societal impact. The article examines the sophisticated architecture, tools, and methodologies employed to measure and mitigate carbon emissions, presenting a scalable framework that other organizations can adopt in their sustainability journey.
References
World Meteorological Organization, "Record carbon emissions highlight urgency of Global Greenhouse Gas Watch," 2024. [Online]. Available: https://wmo.int/media/news/record-carbon-emissions-highlight-urgency-of-global-greenhouse-gas-watch
Ualison Rébula de Oliveira et al., "A systematic literature review on corporate sustainability: contributions, barriers, innovations and future possibilities," Volume 26, pages 3045–3079, (2024), 2023. [Online]. Available: https://link.springer.com/article/10.1007/s10668-023-02933-7#citeas
Christian Blanco, et al,, "The state of supply chain carbon footprinting: analysis of CDP disclosures by US firms," Journal of Cleaner Production, Volume 135, Pages 1189-1197, 2016. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0959652616308095
Olivier Boiral et al., "Achieving corporate carbon neutrality: A multi-perspective framework," Journal of Cleaner Production, Volume 467, 143040, 2024. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0959652624024892
Rex Usiade, "Internet of Things (IoT) Based Environmental Monitoring and Control System," 2023. [Online]. Available: https://www.researchgate.net/publication/369531571_Internet_of_Things_IoT_Based_Environmental_Monitoring_and_Control_System
Assunta Di Vaio and Luisa Varriale, "Blockchain technology in supply chain management for sustainable performance: Evidence from the airport industry," International Journal of Information Management, Volume 52, 102014, 2020. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0268401219304803#:~:text=The%20Blockchain%20Technology%2C%20such%
as,sharing%20information%20through%20A%2DCDM.
Seshendranath Balla Venkata, "Architecting Enterprise-Scale Data Products: A Framework for Advanced Data Science and AI/ML Operations," International Journal of Scientific Research in Computer Science Engineering and Information Technology 10(6):1724-1734, 2024. [Online]. Available: https://www.researchgate.net/publication/387211218_Architecting_Enterprise-Scale_Data_Products_A_Framework_for_Advanced_Data_Science_and_AIML_Operations
Julio Buelvas et al., "Data Quality in IoT-Based Air Quality Monitoring Systems: a Systematic Mapping Study," Water Air and Soil Pollution 234(4), 2021. [Online]. Available: https://www.researchgate.net/publication/369745126_Data_Quality_in_IoT-Based_Air_Quality_Monitoring_Systems_a_Systematic_Mapping_Study
Jose D. Hernandez-Betancur et al., "A data engineering framework for on-site end-of-life industrial operations," Journal of Cleaner Production, Volume 327, 129514, 2021. [Online]. Available: https://www.sciencedirect.com/science/article/abs/pii/S0959652621036933
Youssef Elomari et al., "A data-driven framework for designing a renewable energy community based on the integration of machine learning model with life cycle assessment and life cycle cost parameters," Applied Energy, Volume 358, 122619, 2024. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0306261924000023
Hasliza Hassan et al., "Diagnosing the Issues and Challenges in Data Integration Implementation in Public Sector," International Journal on Advanced Science Engineering and Information Technology 10(2):529, 2020. [Online]. Available: https://www.researchgate.net/publication/340919091_Diagnosing_the_Issues_and_Challenges_in_Data_Integration_Implementation_in_Public_Sector#:~:text=Four%20main%20issues%20and%20challenges,(4)%20lack%20of%20governance.
T. Lakshmi Narayana et al, "Advances in real time smart monitoring of environmental parameters using IoT and sensors," Volume 10, Issue 7, e28195, 2024. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2405844024042269
