HomeMy WebLinkAbout06/27/2024 - ENERGY BOARD - AGENDA - Work Session
ENERGY BOARD
WORK SESSION
June 27, 2024 – 5:30 pm
222 Laporte Ave – Colorado Room
1. [5:30] CALL MEETING TO ORDER
2. [5:30] FORT COLLINS UTILITIES DISTRIBUTED ENERGY RESOURCE MANAGEMENT
PLATFORM AND LOCAL VIRTUAL POWER PLANT STRATEGY (90 Min., Discussion)
Pablo Bauleo, Senior Energy Services Engineer
Mary Horsey, DER Integration Engineer
3. [7:00] FUTURE AGENDA REVIEW
4. [7:05] ADJOURNMENT
Participation for this Energy Board Work Session will be in person in the Colorado
Room at 222 Laporte Ave.
You may also join online via Zoom, using this link: https://fcgov.zoom.us/j/96018296521
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Energy Services Team
Pablo Bauleo, Ph.D
Mary Horsey
Bidirectionality:
The Road to Grid
Flexibility
06-27-24
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What are our goals
•Reducing carbon emissions
•Ensuring energy affordability
•Maintaining reliability
•Five percent of bidirectional load
capacity of 2030 peak
•100% renewable energy by 2030
City’s North Star Goals
OCF Goals
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Journey from peak management to Grid Flexibility
Thermostat Setback Time of Use Rates Load Shaping
Bi-DirectionalUni-Directional
Energy Efficiency
Time
-------------------------------------- 1982 – 2020 -------------------------------------- ----- 2020 – Present -----
Load shiftingLoad shed
Strategy
Load reduction Dynamic load
Source: Figures adapted from: I. Lampropoulos, History of Demand Side Management, 2013 IEEE Power & Energy Society General Meeting, Vancouver, BC, Canada, 2013, pp. 1-5
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A technology example: Electric water heaters
Heating element switch Hot water
thermal battery GIWH (BLS)
Bi-DirectionalUni-Directional
Heat pump WH
Time
-------------------------------------- 1982 – 2020 -------------------------------------- ----- 2020 – Present -----
Load shiftingLoad shed
Strategy
Load reduction Dynamic load
Source: Figures adapted from: I. Lampropoulos, History of Demand Side Management, 2013 IEEE Power & Energy Society General Meeting, Vancouver, BC, Canada, 2013, pp. 1-5
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Early strategies (1982 – 2020)
Peak Reduction Time of Use RatesEnergy Efficiency
Time
Residential and Commercial EE
equipment and retrofits (Ongoing)
AC Compressor switch
Water Heater switch
Programmable thermostats (non-WiFi)
Source: Figures adapted from: I. Lampropoulos, History of Demand Side Management, 2013 IEEE Power & Energy Society General Meeting, Vancouver, BC, Canada, 2013, pp. 1-5
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Flexible strategies (2020 – 2030 …)
Load Shaping
Grid interactive water heaters – 2-way cellular communications
Turn off to draw down thermal load (precondition)
Turn on to charge up when solar energy is abundant on grid
Smooths load shape
EVs – 2-way cellular communications
Turn off charging when fossil fuels are abundant on the grid (precondition)
Turn on to charge up overnight when wind is prevalent on the grid
Mitigates the early evening solar off-ramp – smooths load shape
Source: Figures adapted from: I. Lampropoulos, History of Demand Side Management, 2013 IEEE Power & Energy Society General Meeting, Vancouver, BC, Canada, 2013, pp. 1-5
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Why we want to do this - Introducing variable generation resources
Variable wind and solar resources – out of sync with demand
City Demand
Solar
Wind
6 am Noon 6 pm6 amMidnight6 pm Noon
Po
w
e
r
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Grid Flexibility – Meeting renewable goals cost effectively
Consumes renewables when they are in low demand
Reduces total installed renewable capacity needed to serve the load
City Demand
Solar
Wind
6 am Noon 6 pm6 amMidnight6 pm Noon
Po
w
e
r
WH precondition & charge EV precondition & charge
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Example programs: Current and ongoing
“Run Like the Wind” (RLW)
•Mitigate solar off-ramp
•Shifts EV charging from early evening to overnight
•Wind-rich resource mix
•Valley management
•Main resource
•EV
•(Batteries)
Time of use (TOD)
•Optimize for Time-of-Day residential rate
•Mitigate peak load
•Extends operational life of assets
•Main resource
•Water Heaters
•Thermostats
•(Batteries)
“Bright like the Sun” (BLS)
•Optimize for solar noon consumption
•Mitigate duck curve & anticipated morning winter peak
•Main Resources
•Water Heaters
•Electric vehicles
•(Batteries)
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Key considerations for flexibility: Capability, scale, and frequency
Capability
ScaleFrequency
EV
(V2G)
GIWH
Thermostat
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DERMS system architecture (Capability)
IntelliSOURCE
SkyCentrics
GIWH
Ecobee
Ecobee
Devices
FCU Servers
REST API
FCU/SCO
Operators
GUI
PRPA
Operators
GUI
OpenADRAPI
Residio
Residio
Devices
API
Pro1/DCU3
Devices
F1
Native
Apollo
Di
s
p
a
t
c
h
Pl
a
t
f
o
r
m
De
v
i
c
e
s
OpenADR
JCI BMS
Commercial
buildings
API
RER/Ev.Energy
Tesla Nissan
Audi
Many others
Copeland
Sensi
Devices
API
FCU ADMS
(Future)
PRPA DERMS
(Future)
Ag
g
r
e
g
a
t
o
r
/D
E
R
M
S
TBD TBD
BMW
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IntelliSOURCE – Dispatch complexity (Capability)
Main parameters: Topology, Resource, Time and Duration
Up to more than 100 settings (decisions)
need to be made on each event
(and is only going to be more complex with time)
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Evolution of DERMS dispatch (Frequency)
Di
s
p
a
t
c
h
e
d
E
v
e
n
t
s
p
e
r
m
o
n
t
h
Coincident Peak
(Peak Management)
2015 Oct 2018 Nov 2020 May 2024
Coincident Peak
and TOD
This is an
average of one
event per hour
Coincident Peak, TOD
“BLS” and “RLW”
Currently over 99% of events are dispatched
based on a schedule and less than 1% based
on dynamic grid conditions.
Platform is ready for dynamic dispatch (both
API and standards)
Waiting for PRPA and SPP
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How do we increase our (Grid) Flexibility? (i.e., Scale)
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Breaking down the Grid Flexibility 2030 goal
•Our Climate Future Goal: “Five percent of
bidirectional load capacity of 2030 peak”
•Forecasted PRPA peak in 2030 is about
800 MW
•Historically, Fort Collins has been 48% of
PRPA peak loads
•Estimated Fort Collins peak in 2030: 384 MW
•Fort Collins peak load: 318 MW on 7/28/21
Total bi-directional capacity goal: 19.2 MW
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There are many paths to reach that goal
Grid Flex Resources
•Battery storage (residential or utility scale)
•Thermal storage
•Grid-Interactive Water Heater
•Standard Resistive Water Heater
•Water beds/Jacuzzi
•Thermostats (BYOT and/or Direct Install)
•Light-Duty EV (telematics and/or L2 EVSE)
•Heavy-Duty EV (buses/L3 EVSE)
•Vehicle-to-Grid
•Laptop charging schedules
•Refrigerator defrost cycles
•... (other yet to be identified technologies)
Each Grid-Flex resource has a different maturity level,
a different penetration rate and a different scaling capacity
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Resource evaluation (community potential)
Resource Maturity Level
(2024)
Scaling Limits
(2030)
Sink (W)
(unit-fleet level)
Shed (W )
(unit-fleet level)
GIWH High 4,000 2,000 400
Resistive WH High 3,000 3,000 400
Thermostats High 35,000 0 1,000
Light Duty EV Medium 10,000 2,500 1,000
Battery (residential)Low 6,000 2,000 1,500
Heavy Duty EV Low/Nascent 500 20,000 15,000
Vehicle-To -Grid Nascent 250 2,000 1,500
Refrigerator Defrost Nascent 100,000+15 15
Laptop Schedule Brainstorm 200,000+5 5
Waterbed Brainstorm 8,000 150 100
Confidence on above figures is proportional to maturity level – Load Diversity Factor included in Sink/Shed values
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A given path towards the goal (starting point)
•Quantities to reach the goal were estimated in 2022
•As part of the RFP process
•It is not the only path to reach the goal
•Quantities needed are to be reviewed and refined every 2-years
•Load diversity factors for the resources is hard to know
•Based on data (when possible)
•Educated/best guesses (when necessary)
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DER Quantities to achieve 2030 OCF Goal (Based on RFP 2022)
Resource Device
Sink (kW)
Device
Shed (kW)
Quantities
(2030)
Capacity
Sink (MW)
Capacity
Shed (MW)
GIWH 3 0.4 2,000 6 0.8
EV 2.5 1 300 0.75 0.3
Batteries 2 1.5 300 0.6 0.45
Thermostat 0 1 5,000 0 5
Resistive WH 2.5 0.4 2,000 5 0.8
Directional 12.35 7.35
Absolute 19.7
Notes
Device Sink/Shed includes Load Diversity (challenging factor to measure)
Quantities to reach goal are to be evaluated and refined in a 2-year cycle
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DER quantities by January 2024
Resource Device
Sink (kW)
Device
Shed (kW)
Quantities
(2030)
Capacity
Sink (MW)
Capacity
Shed (MW)
GIWH 3 0.4 100 0.3 0.04
EV 2.5 1 75 0.19 0.08
Batteries 2 1.5 0 0 0
Thermostat 0 1 1500 0 1.5
Resistive WH 2.5 0.4 2,000 5 0.8
Directional 5.49 2.42
Absolute 7.91 MW (41%)
Notes
Progress towards goal heavily dependent on Load Diversity factor
EV Pilot run in 2023 and 2024 Q1 data is being used to refine above values
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Deployment strategy
•Focus on known technology first (2024/25/26)
•Standard Water Heater (enrollment completed)
•GIWH (partnership with HC and N2N, direct mailing)
•Thermostats (Direct Mailing and BYOT)
•EV Telematics (Direct Mailing)
•Expand to less established technologies after 2027
•Battery Storage
•EVSE (EV chargers)
•Heat pumps?
•Other new things?
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Grid Flexibility resources – progress towards goal (RFP 2022)
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Grid Flexibility resources – Progress towards goal (RFP 2022)
OCF Goal (5% bidirectional capacity)
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PRPA Goals and OCF Goals
•PRPA goals are capacity-oriented
•OCF goals are carbon-oriented
•PRPA goals call for ~32 MW of flexible resources
•Mainly batteries and EV with some thermostats
•OCF goals call for ~19 MW of flexible resource
•Mainly thermal storage (water heater), thermostats with some batteries and EV
•Both entities are headed in the same general direction and ensuring
good alignment is a shared objective -and a work in progress-
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Grid Flexibility Resources – Deployment profile (based on RFP 2022)