Business Intelligence System for Management of Academic Organization’s Carbon Dioxide Emission

This paper investigated the assessment of carbon dioxide emissions in academic organizations affiliated with the Faculty of Science, Energy, and Environment at King Mongkut’s University of Technology North Bangkok in Rayong campus, and presented business intelligence strategies to reduce carbon dioxide (CO2) emissions. We calculate the tons of carbon dioxide equivalent (CO2 eq) for 2 years (2023-2024) of data from surveys, sources, and various activities responsible for CO2 emissions, presenting the results through charts on the dashboard in a visually compelling and understandable way. According to the study, total CO2 emissions are 484.96 tons CO2 eq, with the top four sources of CO2 emissions being electricity, R410a, Diesel fuel, and garbage, respectively. Based on business intelligence methodologies, several strategies for reducing CO2 emissions have been evaluated and identified, including immediate reduction measures, assigning responsibility and implementing monitoring, collaboration with specialists, raising awareness and promoting communication, and fostering innovation and incentives.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-18
DOI
https://doi.org/10.1051/e3sconf/202567901019/pdf
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Business Intelligence System for Management of Academic Organization’s Carbon Dioxide Emission

Wachirapong Jirakitpuwapat, Taweesak Srithong, Chalida Phanlert
Springer Link (Chiba Institute of Technology)
Big Data and Business Intelligence
article

Business Intelligence System for Management of Academic Organization’s Carbon Dioxide Emission

Wachirapong Jirakitpuwapat, Taweesak Srithong, Chalida Phanlert
article en

Abstract

This paper investigated the assessment of carbon dioxide emissions in academic organizations affiliated with the Faculty of Science, Energy, and Environment at King Mongkut’s University of Technology North Bangkok in Rayong campus, and presented business intelligence strategies to reduce carbon dioxide (CO2) emissions. We calculate the tons of carbon dioxide equivalent (CO2 eq) for 2 years (2023-2024) of data from surveys, sources, and various activities responsible for CO2 emissions, presenting the results through charts on the dashboard in a visually compelling and understandable way. According to the study, total CO2 emissions are 484.96 tons CO2 eq, with the top four sources of CO2 emissions being electricity, R410a, Diesel fuel, and garbage, respectively. Based on business intelligence methodologies, several strategies for reducing CO2 emissions have been evaluated and identified, including immediate reduction measures, assigning responsibility and implementing monitoring, collaboration with specialists, raising awareness and promoting communication, and fostering innovation and incentives.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Big Data and Business Intelligence
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