Keywords
Greenhouse Gases (GHG); Data Science; Model-driven Techniques; Intelligent Decision Support System (IDSS); Sustainability
Start Date
17-9-2020 2:40 PM
End Date
17-9-2020 3:00 PM
Abstract
Nations who ratified the 2015 Paris Agreement pledged to limit the global average temperature increase well below 2°C in comparison to preindustrial levels. In order to adhere to the Paris Agreement, aggressive emission regulation, mitigation, and reduction policies must be proposed and adapted. Therefore, there is a need to impose emission reduction techniques on new industrial facilities within all industrialised countries as well as modify current industrial facilities to have fewer emissions. With the USA being one of the world’s largest Greenhouse Gases (GHG) polluters when considering annual emissions as well as overall cumulative emissions, it was selected as a case study for the development of an Intelligent Decision Support System (IDSS) to recommend suitable action plans for industrial facilities to control and reduce greenhouse gas emissions for the mitigation and reduction of climate change. The use of Data Science (data-driven models) provided very useful knowledge patterns to give support to the recommendation process. Furthermore, related literature, legislation and expert knowledge were integrated into the IDSS to recommend the most suitable action plans for mitigation and reduction of GHG emissions for a given industrial facility in USA. Real GHG data collected from the Greenhouse Gas Reporting Program (GHGRP) during the year 2017 through the United States Environmental Protection Agency (USEPA) was used. The kind of facilities ranged from waste-activity, food industry, manufacturing industries, petroleum refineries, natural gas, metal, mineral, chemical, power generation and HVAC facilities. The prototype IDSS deployed was satisfactorily assessed by some experts on sustainability issues belonging to the ISST. The action plans for each kind of facility were tested and showed good available technologies and aggressive emission control measures, aligned with the terms of the Paris Agreement.
The Data Science Added Value for Intelligent Decision Support: Application to Greenhouse Gas Emissions Reduction
Nations who ratified the 2015 Paris Agreement pledged to limit the global average temperature increase well below 2°C in comparison to preindustrial levels. In order to adhere to the Paris Agreement, aggressive emission regulation, mitigation, and reduction policies must be proposed and adapted. Therefore, there is a need to impose emission reduction techniques on new industrial facilities within all industrialised countries as well as modify current industrial facilities to have fewer emissions. With the USA being one of the world’s largest Greenhouse Gases (GHG) polluters when considering annual emissions as well as overall cumulative emissions, it was selected as a case study for the development of an Intelligent Decision Support System (IDSS) to recommend suitable action plans for industrial facilities to control and reduce greenhouse gas emissions for the mitigation and reduction of climate change. The use of Data Science (data-driven models) provided very useful knowledge patterns to give support to the recommendation process. Furthermore, related literature, legislation and expert knowledge were integrated into the IDSS to recommend the most suitable action plans for mitigation and reduction of GHG emissions for a given industrial facility in USA. Real GHG data collected from the Greenhouse Gas Reporting Program (GHGRP) during the year 2017 through the United States Environmental Protection Agency (USEPA) was used. The kind of facilities ranged from waste-activity, food industry, manufacturing industries, petroleum refineries, natural gas, metal, mineral, chemical, power generation and HVAC facilities. The prototype IDSS deployed was satisfactorily assessed by some experts on sustainability issues belonging to the ISST. The action plans for each kind of facility were tested and showed good available technologies and aggressive emission control measures, aligned with the terms of the Paris Agreement.
Stream and Session
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