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Alectra Utilities with Its Partner Beworks Regulated Price Plan Pilot – Final Report Submitted to the Ontario Energy Board Alectra Utilities with its partner BEworks August 31, 2020 CONTRIBUTORS About Alectra Alectra Alectra’s family of energy companies distributes electricity to more than one TEAM MEMBERS million homes and businesses in Ontario’s Neetika Sathe Greater Golden Horseshoe area and provides VP, GRE&T Centre innovative energy solutions to these and Daniel Carr thousands more across Ontario. The Alectra Head, Smart Cities family of companies includes Alectra Inc., Shirley Liu Alectra Utilities Corporation and Alectra Energy Solutions. Learn more about Alectra Analyst, Smart Cities at alectrautilities.com. i CONTRIBUTORS About BEworks BEworks Founded in 2010, BEworks is an unconventional management consulting firm that applies scientific thinking to transform the economy TEAM MEMBERS and society. BEworks’ team of experts in Kelly Peters cognitive and social psychology, neuroscience, CEO and marketing answer clients' most complex Dave Thomson business questions, execute disruptive growth Director, Experimentation strategies, and accelerate innovation. Sarah M. Carpentier Associate Part of the kyu collective of companies since Leigh Christopher January 2017, the firm's client list includes Associate Fortune 1000 companies, not-for-profit Nathaniel Whittingham organizations and government agencies. Behavioural Data Scientist BEworks was co-founded by Dan Ariely, Jesse Van Patter renowned behavioural scientist, Kelly Peters, Data Analyst the firm's CEO and BE pioneer, and top Matthew O’Brian marketing scholar Nina Mažar. Data Analyst For more information, please visit www.BEworks.com, @BEworksInc or https://www.linkedin.com/company/bework s/ ii Executive Summary In 2016, the Ontario Energy Board (OEB), through its Regulated Price Plan (RPP) pilots, sought to examine the impact of alternative pricing schemes and non-price interventions on conservation and demand management behaviours among utility customers. Alectra Utilities (Alectra), and its partners tested the impact of three separate Time-of-Use pricing schemes (Dynamic, Overnight, and Enhanced) with two non-price interventions (“Nudge Reports” and programmable smart thermostat Technology) to achieve the OEB’s RPP pilot objectives. Collectively, the three pricing pilots were communicated and marketed to customers under the name Advantage Power Pricing (APP) and will be referred to as such throughout this report. It should be noted that a version of the Dynamic pricing pilot had been run previously by Alectra and that customers participating in this legacy program were encouraged to remain in Dynamic pricing as part of the current pilot. In this report, we use the terms ‘Dynamic’ and ‘Legacy Dynamic’ to differentiate between Dynamic pricing pilot customers who signed up as part of this most recent instantiation of the RPP pilot and those that were retained from previous iterations of Dynamic pricing. This report covers the reporting period May 01, 2018 – April 30, 2019 inclusive. Next, we outline the prices and associated time periods for each of the three pricing pilots. Enhanced pricing Customers participating in the Enhanced pricing pilot experienced a larger On- to Off-Peak price differential (4:1) relative to standard TOU pricing (2:1) as well as a larger Mid- to Off-Peak price differential (3:1) relative to standard TOU pricing (1.5:1). The exact prices and associated price periods are shown in Table 1. Table 1: Enhanced Pricing kWh Prices Price (cents/kWh) Summer Hours Winter Hours Price Period (May – October) (November – April) Nov - May-Oct April Weekdays: 12am-7am Weekdays: 12am-7am Off-Peak and 7pm-12am and 7pm-12am 4.4 4.4 Weekends: All day Weekends: All day Weekdays: 7am-11am Mid-Peak Weekdays: 11am-5pm 13.2 13.2 and 5pm-7pm Weekdays: 7am-11am On-Peak Weekdays: 11am-5pm 17.5 17.6 and 5pm-7pm Dynamic pricing Customers participating in the Dynamic pricing pilot experienced variable On-Peak prices depending on anticipated demand. Demand forecasts by the IESO were used by Alectra to set the variable On-Peak price (Low, Medium, or High) for each day. This was done in such a manner 1 as to abide by the proportion of variable On-Peak periods called as Low, Medium, or High that was prescribed by the OEB. These customers also experienced Critical Peak Periods (CPP; 6 Summer and 6 Winter, lasting 4 hours each) with an especially high price. In addition, there was no Mid-Peak period. These CPP events were also called by the OEB based on IESO demand forecasts and customers were notified of an impending CPP event by Alectra via SMS test or email at 4pm on the day preceding an event. The prices and associated time periods are shown in Table 2. This information applies to both the Dynamic Pricing Pilot and the Legacy Dynamic Pricing Pilot. Table 2: Dynamic Pricing kWh Prices Price (cents/kWh) Price Period Hours Nov - April May - Oct Weekdays: 12am-3pm and 9pm- Off-Peak 12am 4.9 4.9 Weekends: All day Low On-Peak 50% of Weekdays: 3pm-9pm 10.0 9.9 Medium On-Peak 30% of Weekdays: 3pm-9pm 19.9 19.8 High On-Peak 20% of Weekdays: 3pm-9pm 39.8 39.7 On the top six system peak days in summer and winter, each Critical Peak event lasting four hours. Start 49.8 49.8 time of events determined by peak demand hour of event day Overnight pricing Customers taking part in the Overnight pricing pilot experienced an especially low overnight Off-Peak price. This pricing pilot is designed to appeal to customers working irregular shifts or who are electric vehicle owners (or prospective electric vehicle owners). The prices and associated time periods are shown in Table 3. Table 3: Overnight Pricing kWh Prices Price (cents/kWh) Summer Hours (May – Winter Hours Price Period Nov - October) (November – April) May-Oct April Overnight Off-Peak 12am-6am 12am-6am 2.0 2.0 Weekdays: 6am-7am Weekdays: 6am-7am Off-Peak and 7pm-12am and 7pm-12am 6.5 6.5 Weekends: 6am-12am Weekends: 6am-12am Weekdays: 7am-11am Mid-Peak Weekdays: 11am-5pm 9.2 9.2 and 5pm-7pm Weekdays: 7am-11am On-Peak Weekdays: 11am-5pm 18.4 18.3 and 5pm-7pm 2 Standard (Status quo) Time-of-Use (TOU) Pricing Customers assigned to control conditions for each of the three pricing pilots described above experienced standard (or ‘status quo’) TOU prices. The standard TOU prices and associated time periods are shown in Table 4. Table 4: Standard TOU Pricing kWh Prices Price (cents/kWh) Summer Hours Winter Hours Price Period Nov - (May – October) (November – April) May-Oct April Weekdays: 12am-7am Weekdays: 12am-7am Off-Peak and 7pm-12am and 7pm-12am 6.5 6.5 Weekends: All day Weekends: All day Weekdays: 7am-11am Mid-Peak Weekdays: 11am-5pm 9.5 9.4 and 5pm-7pm Weekdays: 7am-11am On-Peak Weekdays: 11am-5pm 13.2 13.2 and 5pm-7pm Program Results Sample Size Sample sizes as a function of pricing pilot and condition are shown in Tables 5 through 8 Error! Reference source not found.below. Table 5: Enhanced Pricing Pilot Sample Sizes Summer Winter Total Total Starting N Final N Final N Exclusions1 Exclusions Enhanced Pricing 3500 504 2996 241 2733 Enhanced Pricing 3500 536 2964 263 2723 + Nudge Report Std. TOU Control 3500 261 3239 222 3042 Std. TOU Control 3500 263 3237 197 3015 + Nudge Report Total 14000 1564 12436 923 11513 1 Total Exclusions: This is simply the sum of Opt-Outs + Move-Outs + Missing Data + Outliers. Full descriptions of each of these exclusion criteria are provided in Section 4. Advantage Power Pricing Impact Analysis Methodology. 3 Table 6: Overnight Pricing Pilot Sample Sizes Summer Winter Total Total Starting N Final N Final N Exclusions2 Exclusions Overnight Pricing 366 26 340 99 241 Overnight Pricing, 6- 74 -- -- 13 61 Month Group3 Std. TOU Control 366 5 361 2 359 Std. TOU Control, 6- 74 -- -- 3 71 Month Group Total 701 732 Table 7: Dynamic Pricing Pilot Sample Sizes Summer Winter Total Total Starting N Final N Final N Exclusions2 Exclusions Dynamic Pricing, 3500 47 338 103 235 No Nudge Report Dynamic Pricing + 3500 40 345 110 235 Nudge Report Std. TOU Pricing, 3500 21 364 22 342 No Nudge Report Std. TOU Pricing + 3500 23 362 21 341 Nudge Report Total 14000 131 1409 256 1153 2 Total Exclusions: This is simply the sum of Opt-Outs + Move-Outs + Missing Data + Outliers. Full descriptions of each of these exclusion criteria are provided in Section 4. Advantage Power Pricing Impact Analysis Methodology. 3 The ‘6-month group represents a group of customers who enrolled in Overnight pricing but did not have sufficient historical consumption data to allow for their inclusion in the Summer impact analysis; they were included in the Winter analysis. 4 Table 8: Number of Participants for Legacy Dynamic Pilot Summer Winter Total Total Starting N Final N Starting N Final N Exclusions4 Exclusions Registration Bin 1 Legacy Dynamic 778 114 664 839 111 728 Std TOU Control 778 114 664 839 111 728 Registration Bin 2 Legacy Dynamic 650 147 503 639 141 498 Std TOU Control 650 147 503 639 141 498 Summary of Analytical Approach As a result of seasonal variations and year-over-year fluctuations in weather patterns, there was substantially higher overall electricity consumption in the 12-month pilot period relative to the preceding 12 months. For this reason, we employed a difference-in-difference (DID) approach for impact analyses, when appropriate. The DID compares the year-to-year difference in consumption between treatment and control groups. For example, if from the pre-treatment to the treatment period, a given control group consumed 0.05 kWh more electricity, but the corresponding treatment group consumed only 0.01 kWh more electricity, we can then report that the treatment lead to a 0.04 kWh reduction in consumption relative to the control group.
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