Load Flexibility and Rate Design Considerations for Heat Pump Water - - PowerPoint PPT Presentation

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Load Flexibility and Rate Design Considerations for Heat Pump Water - - PowerPoint PPT Presentation

Load Flexibility and Rate Design Considerations for Heat Pump Water Heaters William Burke Deepak Aswani Sacramento Municipal Utility District www.peakload.org About Sacramento Municipal Utility District Not-for-Profit Municipal Electric


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www.peakload.org

Load Flexibility and Rate Design Considerations for Heat Pump Water Heaters

William Burke Deepak Aswani

Sacramento Municipal Utility District

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www.peakload.org

About Sacramento Municipal Utility District

  • Not-for-Profit Municipal Electric

Utility

  • Sacramento County in California

with about 625,000 accounts

  • Vertically integrated with

generation, T&D, and customer facing functions

  • Net zero carbon goal by 2040

impacting the generation portfolio, appliance electrification, and load flexibility initiatives

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Present day opportunities for Time-of-Day Rates

  • SMUD Residential Time-of-Day Rates

helps align customer costs with utility costs on average

  • Provides an opportunity for shared

savings

  • However, cost of energy and capacity

(bulk and local) are more complex than Time-of-Day captures

Actual Utility energy

  • r capacity costs

vary day to day Day 1 peak Day 1 off-peak Day 2 peak Day 2 off-peak Day 3 peak Day 3 off-peak

Day n peak Day n off-peak

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  • Changing the water temperature

setpoint to overheat the water allows for load shifting

  • Mixing valve keeps temperature

constant for consumed water

  • Shift load without the customer

noticing!

Load flexibility with Heat Pump Water Heaters

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Looking beyond Time-of-Day Rates

Greater utility responsibility Greater customer responsibility

Flat monthly bill (cell phone plan) Dynamic rates Volumetric rates Time of Day rates Traditional rate with load shift credit

Aspiration for a simplified customer billing contract that also provides utility load flexibility

Transactive energy (peer to peer trading)

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Pilot design

  • Research compares 3 modes of HPWH operation
  • 1. Baseline – no active load shaping
  • 2. Time of Day (TOD) rate optimization – load shape to reduce on-peak consumption

and increase off-peak consumption

  • 3. Utility influenced load shaping based on utility day ahead electricity costs
  • Customer contract design
  • Default mode is TOD rate optimization
  • 120 days/year can be event days – either Baseline or Utility load shaping
  • Customer receives $75 up front credit for signing up for the program and $2/month

participation bill credit

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Founded: 2014 Located: Louisville, KY Business Model: SaaS Other Programs:

✓ Glasgow/TVA SET Program (Battery, HPWH, Thermostat) ✓ GMP BYOD Program (Battery) ✓ Belmont Light Peak Reduction Rewards (All Devices) ✓ GMP EV Unlimited Program (EVSE)

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Thermostats Thermostats Water Water Heaters Heaters Storage Storage EVSE EVSE Room AC & Room AC & Mini Mini -Splits Splits

Broad Manufacturer Support

Robustly integrate with a new device in ~2 weeks

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  • Water Heater Optimization

Program

  • BYOD Enrollment
  • Multi Manufacturer Support

with

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Rapid Algorithm Development

Software in the Loop Simulation Explanation

  • Models Device Behavior
  • Models Human Behavior
  • Operate Actual Control Software on Simulated

Devices

Benefits

  • Accelerate Time
  • Test With No User Disruption
  • Replicable experiments
  • Faster Development
  • Lower Risk
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  • Learn Water Use Behavior
  • Read from Price Server
  • Take Advantage of Repeating

Schedules

  • Adjust Schedule to Save

Money

  • Ensure Water Delivery

Temperature

TOD Rate Optimization

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  • Learn Water Use Behavior
  • Integrate with Pricing Server
  • Dispatch Based on Hot Water

Capacity and Price

  • Optimize Wholesale Cost
  • Ensure Water Delivery

Temperature

Wholesale Cost Optimization

Water Heater Arbitrage

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Impact of TOD optimization

  • 22 customers (9 GE Geospring

and 13 Rheem)

  • TOD optimization

implemented so far

  • Utility influenced load shaping

going live in Fall 2019

13% reduction

  • vs. baseline
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Program Challenges

  • Mixing Valve Support
  • Safety Concerns
  • Terms and Conditions
  • Mixing Valve Safety
  • Multi-Manufacture Support
  • Different min and max temperatures
  • Different data granularity
  • Population Size
  • Learning benefits from large population
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Customer Learnings

  • Simple Enrollment a must
  • Few People Change

Behavior

  • Fixed Schedules Don’t Work
  • Unhappy Customers in

Control Group

  • Learning Solved the Problem