member badge
Gautam Bakshi
This can be part of a optimizer project.
As a
sustainability officer,
I want
the GHG emissions system to use asset classification data to identify high-emission assets,
So that
I can prioritize them for decarbonization initiatives.
Acceptance Criteria:
The system shall analyze asset data to identify high-emission assets.Example: Identify assets with the highest CO2 emissions based on usage and type.
The system shall prioritize high-emission assets for decarbonization efforts. Example: Rank assets based on their emission levels and potential for reduction.
The system shall provide actionable insights and recommendations for decarbonizing high-emission assets.
Sample Input:
Asset Data from Ford Company Global:
|
Asset Type
|
Model
|
Annual CO2 Emissions (kg)
|
Location
|
Subsidiary/Subcontractor
|
Description
|
|Vehicle Fleet|Ford F-150|693,000,000|Global|Ford USA|Company-owned vehicles used for operations|
|Vehicle Fleet|Ford Transit|268,000,000|Europe|Ford Europe|Company-owned vehicles used for deliveries|
|Manufacturing Plant|N/A|181,500,000|Dearborn, MI|Ford USA|Main plant for vehicle production|
|Manufacturing Plant|N/A|82,500,000|Cologne, Germany|Ford Europe|European manufacturing plant|
|Office Buildings|N/A|112,500,000|Global|Various Subsidiaries|Office spaces across different global locations|
Outcome:
High-Emission Asset Identification:*
** Highlighted high-emission assets on the dashboard:
*** Vehicle Fleet (Ford F-150): 693,000,000 kg CO2
*** Manufacturing Plant (Dearborn, MI): 181,500,000 kg CO2
Actionable Insights:*
** Recommendations:
*** Upgrade vehicle fleet to electric vehicles to reduce emissions.
*** Implement energy efficiency measures in the manufacturing plants.
*** Transition office buildings to renewable energy sources.