Policy Impact Analysis - 117/HR/9249

Bill Overview

Title: To address the recovery of certain costs with respect to certain Reclamation facilities in the Colorado River Basin, and for other purposes.

Description: This bill prohibits the federal government from recovering certain costs related to certain hydropower facilities in the Colorado River Basin (e.g., Glen Canyon Dam in Arizona) when no power is being produced. The bill provides funding to the Bureau of Reclamation and the Western Area Power Administration to cover activities and obligations that otherwise rely on the recovery of these costs.

Sponsors: Rep. O'Halleran, Tom [D-AZ-1]

Target Audience

Population: People reliant on the Colorado River Basin's hydropower facilities.

Estimated Size: 40000000

Reasoning

Simulated Interviews

Electrical Engineer (Phoenix, Arizona)

Age: 52 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • This new policy seems like a safety net for us, ensuring that we don't have to pass high costs onto our customers when the dam isn't generating power.
  • It could stabilize our operations financially in dry years, helping us maintain competitiveness and invest more in infrastructure upgrades.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Las Vegas, Nevada)

Age: 36 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Considering how unpredictable utility costs affect my business, any policy that manages to reduce unexpected rate hikes is welcome.
  • I hope this leads to more stable electricity bills long-term, as it directly influences my operational costs.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Scientist (Los Angeles, California)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 9/20

Statement of Opinion:

  • While not directly affected, stability in hydropower funding means better ecological management decisions long-term.
  • Hopefully, the policy encourages sustainable usage and conservation efforts within the basin.

Wellbeing Over Time (With vs Without Policy)

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

Public Policy Analyst (Denver, Colorado)

Age: 44 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 11/20

Statement of Opinion:

  • This policy can provide a needed backstop to prevent passing massive infrastructure costs onto consumers during droughts.
  • It's an important part of adaptive management strategies to account for climate variability.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Yuma, Arizona)

Age: 65 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • On a fixed income, any rise in my utility bill makes a big difference.
  • This policy easing potential rate hikes in hard times could greatly benefit me and others like me.

Wellbeing Over Time (With vs Without Policy)

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

Electric Utility Manager (Sacramento, California)

Age: 41 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 13/20

Statement of Opinion:

  • I see this as a significant positive for planning purposes, allowing us more certainty in years where hydropower generation is unpredictable.
  • It gives us options without immediately looking for alternate funding in dry periods.

Wellbeing Over Time (With vs Without Policy)

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

College Student (Flagstaff, Arizona)

Age: 22 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • These policies affect environmental conservation, which is a crucial part of our studies.
  • I'm skeptical but hopeful it results in better funding allocation without ecological trade-offs.

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 8 6
Year 10 8 6
Year 20 7 6

Retired Teacher (Carson City, Nevada)

Age: 74 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • We always worry about electricity costs when we hear news of reduced hydropower output.
  • This support could mean fewer price spikes and help fixed-income seniors manage better.

Wellbeing Over Time (With vs Without Policy)

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

Tour Boat Operator (Boulder City, Nevada)

Age: 54 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Tourism dips when dam operations change unexpectedly, which affects my business.
  • A steady approach with this policy might help keep Lake Mead's levels stable and predictable.

Wellbeing Over Time (With vs Without Policy)

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

Energy Consultant (San Diego, California)

Age: 38 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Policy interventions like this can have noticeable effects on energy markets and pricing stability.
  • It may not drastically change things but adds predictability favored by energy consultants like me.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

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

Year 2: $50000000 (Low: $40000000, High: $60000000)

Year 3: $50000000 (Low: $40000000, High: $60000000)

Year 5: $50000000 (Low: $40000000, High: $60000000)

Year 10: $50000000 (Low: $40000000, High: $60000000)

Year 100: $50000000 (Low: $40000000, High: $60000000)

Key Considerations