SMART CARBON FOOTPRINT MONITORING MODEL FOR BUILDINGS IN BANDUNG INSTITUTE OF TECHNOLOGY GANESHA
Rapid innovation in technology has led to unwanted side effects such as global warming and climate change. Recent studies report that in today's digital age, many industries use energy-consuming technologies in their buildings. Unfortunately, this results in considerable carbon emissions tha...
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Format: | Theses |
Language: | Indonesia |
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Online Access: | https://digilib.itb.ac.id/gdl/view/77047 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Rapid innovation in technology has led to unwanted side effects such as global
warming and climate change. Recent studies report that in today's digital age, many
industries use energy-consuming technologies in their buildings. Unfortunately,
this results in considerable carbon emissions that are often unmonitored and poorly
managed. This challenge also occurs in buildings at Institut Teknologi Bandung
that operate various facilities that can contribute to the level of carbon footprint.
Currently, there is no system that monitors energy use and emission production in
every building at Institut Teknologi Bandung. Data collection related to energy use
is still done manually and there is no follow-up on the information obtained so that
it cannot be known which buildings contribute the most and have the potential to
cause a spike in the amount of carbon emissions at the Bandung Institute of
Technology.
To solve this problem, this research focuses on developing a carbon footprint smart
monitoring model for buildings at Institut Teknologi Bandung by utilizing
prediction features so that preventive measures can be taken to avoid an increase
in carbon emission levels. The development of this model includes improving the
flow of information using the Business Process Reengineering (BPR) method,
classifying the sustainability value of buildings with the standardization of the
Leadership in Energy and Environmental Design (LEED) assessment, and
developing a prediction system using Vector Auto Regression (VAR). This model is
expected to provide an overview of the level of carbon production of each building
and future projections so that it can be taken into consideration in efforts to manage
emissions at the Bandung Institute of Technology. |
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