Modeling Integrated Sustainability Monitoring System for Carbon Footprint in Higher Education Buildings

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Abstract

Recent research has shed light on integrating cutting-edge technologies in various organisations to support daily operations in the digital age. However, this implementation has resulted in undesirable consequences, notably contributing to global warming and climate change, primarily due to unchecked carbon emissions. Higher Educational Institutions are expected to lead by example in reducing global carbon emissions. Despite some institutions' efforts in this regard, multiple studies suggest that progress could be expedited through digital technology, leaving room for improvement. Numerous Higher Educational Institutions still need sustainable practices within their building infrastructure. Hence, this research project was developed to create an intelligent model for monitoring the carbon footprint of buildings within Higher Educational Institutions. The study focused on the Bandung Institute of Technology facilities, which encountered similar challenges stemming from various aspects contributing to the overall carbon footprint. This research effectively managed energy consumption by implementing design thinking, encompassing electricity and water usage, and reducing emissions. Furthermore, the application of this model provided valuable insights into both current and projected energy consumption and emission production. It also assessed the sustainability status of these buildings and enhanced the efficiency of information dissemination in energy reporting processes. This, in turn, facilitated the implementation of proactive measures for emission management not only at the Bandung Institute of Technology but also in other Higher Educational Institution buildings sharing similar characteristics.

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APA

Maulidevi, N. U., Aji, B. S. K., Hikmawati, E., & Surendro, K. (2023). Modeling Integrated Sustainability Monitoring System for Carbon Footprint in Higher Education Buildings. IEEE Access, 11, 135365–135376. https://doi.org/10.1109/ACCESS.2023.3333890

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