Policy Impact Analysis - 117/S/4626

Bill Overview

Title: Facilitating the Reshoring of Energy Grid Component Manufacturing Act of 2022

Description: This bill directs the Department of Energy (DOE) to establish a loan program for the production of energy grid products or components. Under the program, DOE may provide loans for activities related to projects that reequip, expand, or establish manufacturing facilities to produce energy grid products or their components. Energy grid products include large power transformers or any other electrical equipment commonly used for the transmission or distribution of electric energy by public electric utilities.

Sponsors: Sen. Rubio, Marco [R-FL]

Target Audience

Population: People employed in or affected by the energy grid component manufacturing industry globally

Estimated Size: 6000000

Reasoning

Simulated Interviews

Manufacturing Engineer (Houston, TX)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 15/20

Statement of Opinion:

  • I believe this policy could secure my job for the long term as it might bring more projects to our facility.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 5
Year 5 9 5
Year 10 9 4
Year 20 9 3

Supply Chain Analyst (Chicago, IL)

Age: 34 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • If more manufacturing stays in the US, my company will grow, but this policy needs to be executed well to have an impact.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 7 5
Year 5 7 4
Year 10 7 3
Year 20 6 3

Software Developer (San Francisco, CA)

Age: 29 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • While the policy doesn't directly affect me, it's reassuring that our energy grid might become more reliable.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 6
Year 5 7 5
Year 10 6 5
Year 20 5 4

Energy Efficiency Consultant (Atlanta, GA)

Age: 50 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 5/20

Statement of Opinion:

  • This could be a great boost for the industry, although not directly affecting my sector immediately.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 8 8
Year 10 8 8
Year 20 7 7

Machinist (Detroit, MI)

Age: 41 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 14/20

Statement of Opinion:

  • The policy might mean more steady work, as we increase production lines for the grid components.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 8 5
Year 5 8 4
Year 10 9 3
Year 20 9 2

Retired (Little Rock, AR)

Age: 58 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 17/20

Statement of Opinion:

  • It might mean a small change in utility bills, but I won't be directly affected.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 7 6
Year 10 6 6
Year 20 6 5

Electrical Engineer (Raleigh, NC)

Age: 24 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • The policy could open up more opportunities for designers like me in power networks.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 8 5
Year 10 8 4
Year 20 7 3

Energy Policy Analyst (Los Angeles, CA)

Age: 61 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • Reshoring could play a role in improving grid stability and promote local jobs, but execution is crucial.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 8 7
Year 10 8 7
Year 20 7 6

Environmental Scientist (Phoenix, AZ)

Age: 27 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • While the policy increases domestic production which is good, its environmental impacts should be monitored.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 6 5
Year 5 6 5
Year 10 6 5
Year 20 6 4

Manufacturing Plant Manager (Cleveland, OH)

Age: 39 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 13/20

Statement of Opinion:

  • This policy could mean growth for our plant, securing jobs and expanding our operations.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 8 4
Year 5 8 3
Year 10 9 3
Year 20 8 2

Cost Estimates

Year 1: $50000000 (Low: $40000000, High: $60000000)

Year 2: $45000000 (Low: $35000000, High: $55000000)

Year 3: $40000000 (Low: $30000000, High: $50000000)

Year 5: $40000000 (Low: $30000000, High: $50000000)

Year 10: $40000000 (Low: $30000000, High: $50000000)

Year 100: $40000000 (Low: $30000000, High: $50000000)

Key Considerations