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It’s a Matter of Time: Analyzing the Effects of Dynamic Rate Designs on Low-Income and Senior Electricity Consumers.

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Presentation on theme: "It’s a Matter of Time: Analyzing the Effects of Dynamic Rate Designs on Low-Income and Senior Electricity Consumers."— Presentation transcript:

1 It’s a Matter of Time: Analyzing the Effects of Dynamic Rate Designs on Low-Income and Senior Electricity Consumers

2 4.2 Million Smart Meters By the end of 2018, nearly all ComEd residential customers will have smart meters. This extends access to dynamic rate options to 70% of Illinois residents.

3 Continuing Dynamic Pricing Investigation
Applying previous RTP analysis to 2017 data, including a TOU analysis Revised Low Income methodology, Age Cohort analysis

4 Refined Geographic Matching
Using Lat/Long coordinates, matched postal Zip+4 codes with Block Group-level census data Smallest tabulation level for many census data Between 600 – 3,000 people

5 Refined Geographic Matching
New methodology allows for more precise demographic estimates Income (median, income buckets) Age cohorts Building stats Age Bedrooms Units

6 Usage Differences – Income
Low income communities use significantly less, with flatter load profiles and higher load factors

7 Rate Design Comparison
2016 – SFNH Flat-Rate RTP TOU - Peak M-F, 10-7p TOU - Off-Peak M-F, 7p-10p TOU - Super-Off M-F night, S-S Fixed $14.22 $14.61 Delivery (¢/kWh) 3.632 7.12 - Energy (¢/kWh) 6.98 Market 3.263 2.238 Capacity 3.22 $/kW 3.2 ¢/kWh Trans. (¢/kWh) 1.34 1.36 3.5 Total Variable 11.952 lmp 13.883 10.383

8 Findings – RTP Significant Savings Opportunity
2017 RTP results confirm 2016 findings, many customers would save vs. flat rate 86-91% of customers save in a 2017 month, vs % in 2016 Fewer savers under TOU, though opportunity is there 52-60% savers in a given month during both years

9 Findings – Income and Demographics
In urban/suburban areas, low-income areas averaged 1% higher total bill savings with RTP, with lower average usage Likely due to better load shape, lower usage Areas with higher proportions of elderly averaged slightly higher RTP savings ($8 higher annually for areas with 20% or more 65+)

10 Findings – Flat Rate Price Insurance
Insurance premium in flat-rate energy pricing appears to still be significant in 2017 Usage-weighted premium in 2016 estimated to be 93% Unweighted flat rate energy down 5%, unweighted LMP up 3%

11 Conclusions Dynamic Pricing does not appear to hold special risk for low-income or senior populations TOU carries lower risk/reward for all customers Flat-rate energy pricing continues to carry significant insurance premium


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