Mobility patterns and impact on the grid

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SolarMiles: Output of WP2

Juliana Montoya Cardona Centre of Expertise Energy

Hanze University of Applied Sciences _{15th February 2018}

Mobility Patterns and

Impact On The Grid

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Research Questions

1. What are the

characteristics of the usage patterns of

electric cars, solar PV power generators, technical

infrastructure and net balancing of the electricity grid?

2. How can electric cars use the available amount of solar

energy within the limits of the current system and thus

contribute to the grid balance?

3. Where must a

service concept meet users of electric cars

to motivate them to adjust their charging pattern to the

available amount of solar energy so that buffering with

these cars is optimized?

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MOBILITY PATTERNS

Bellekom AA, Sandra

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Collecting mobility data

• General:

–

Analysis of OViN data (Onderzoek Verplaatsingen in Nederland)

• Specific:

–

Development of Mobilytics App

–

Analysis of collected position and time data

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Mobility pattern Netherlands (OViN)

114349 Dutch Mobility Data.

31750 Dutch Vehicles and only 27 Groningen

0 500 1000 1500 2000 2500 1 ₁₄ ₂₇ ₄₀ ₅₃ ₆₆ ₇₉ ₉₂ 105 118 131 144 157

Di

st

an

ce

(k

m

)

Hours Sunday to Saturday 0 500 1000 1500 2000 2500 3000 3500 0 2 4 6 8 Di st ance km/ h Sunday to Saturday 5

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Mobilytics App

Mobilytics use on Ameland

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Mobilytics output

3-1-2018 10:52:13 53.4512176, 5.8008729 3-1-2018 10:57:12 53.4512176, 5.8008729 16851 3-1-2018 11:00:17 53.4512176, 5.8008729 16851 3-1-2018 11:02:15 53.4469307, 5.7968123 16851 3-1-2018 11:02:15 53.4469307, 5.7968123 16851 3-1-2018 11:02:15 53.4469307, 5.7968123 3-1-2018 11:02:15 53.4469307, 5.7968123 16851 3-1-2018 11:02:21 53.4469556, 5.7959368 16851 3-1-2018 11:02:26 53.446979, 5.7951523 16851 3-1-2018 11:02:31 53.4469956, 5.7944602 16851 3-1-2018 11:02:36 53.4469876, 5.7937986 16851 3-1-2018 11:02:41 53.4469725, 5.793217 16851 3-1-2018 11:09:08 53.4342096, 5.7750281 3-1-2018 11:09:08 53.4342096, 5.7750281 16852 3-1-2018 12:55:24 53.4342096, 5.7750281 16852 3-1-2018 12:57:21 53.3968563, 5.8783903 16852 3-1-2018 12:57:21 53.3968563, 5.8783903 16852 3-1-2018 12:57:21 53.3968563, 5.8783903 3-1-2018 12:57:21 53.3968563, 5.8783903 16852 3-1-2018 12:57:27 53.3969756, 5.8780951 16852 3-1-2018 12:57:32 53.396899, 5.8778291 Route_id Time stamp Location (latitude, longitude) Start of a route 7

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Start of trip

End of trip

No movement for less than 10 minutes

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Continue on the same day, another route

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Continue on the same day, same route

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Unfiltered ‘car’ data from Ameland

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Average speed < 125 km/h

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Mobility pattern Ameland

Sunday-Saturday

average weekly pattern for Ameland

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Challenges

• How to split a route into several parts with different

transport mode (car, boat, train)?

• How to distinguish car, boat, train and plane routes?

• How to deal with missing data (periods of no data

collection)?

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DATASET VISUALIZATION

Tortosa Martinez G, Guillermo

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GRID LOAD MODEL

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Energy Flows Model

Ev Travel

Model

PV

Production

Model

Ev Charging

Model

Consumption

Household

Grid

Load

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PV Power

21 Su n 1: 00 Su n 5: 00 Su n 9: 00 Su n 13: 00 Su n 17: 00 Su n 21: 00 M on 1: 00 M on 5: 00 M on 9: 00 M on 13: 00 M on 17: 00 M on 21: 00 Tu e 1: 00 Tu e 5: 00 Tu e 9: 00 Tu e 13: 00 Tu e 17: 00 Tu e 21: 00 W ed 1: 00 W ed 5: 00 W ed 9: 00 W ed 13: 00 W ed 17: 00 W ed 21: 00 Thu 1 :0 0 Thu 5 :0 0 Thu 9 :0 0 Th u 13: 00 Th u 17: 00 Th u 21: 00 Fr i 1: 00 Fr i 5: 00 Fr i 9: 00 Fr i 13: 00 Fr i 17: 00 Fr i 21: 00 Sa t 1: 00 Sa t 5: 00 Sa t 9: 00 Sa t 13: 00 Sa t 17: 00 Sa t 21: 00 Su n 1: 00 Su n 5: 00 Su n 9: 00 Su n 13: 00 Su n 17: 00 Su n 21: 00 M on 1: 00 M on 5: 00 M on 9: 00 M on 13: 00 M on 17: 00 M on 21: 00 Tu e 1: 00 Tu e 5: 00 Tu e 9: 00 Tu e 13: 00 Tu e 17: 00 Tu e 21: 00 W ed 1: 00 W ed 5: 00 W ed 9: 00 W ed 13: 00 W ed 17: 00 W ed 21: 00 Thu 1 :0 0 Thu 5 :0 0 Thu 9 :0 0 Th u 13: 00 Th u 17: 00 Th u 21: 00 Fr i 1: 00 Fr i 5: 00 Fr i 9: 00 Fr i 13: 00 Fr i 17: 00 Fr i 21: 00 Sa t 1: 00 Sa t 5: 00 Sa t 9: 00 Sa t 13: 00 Sa t 17: 00 Sa t 21: 00

W

inter

Su

mm

e

r

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Charging Strategies

0 0.05 0.1 0.15 0.2 1 3 5 7 9 11 13 15 17 19 21 23 Home 0 0.05 0.1 0.15 0.2 1 3 5 7 9 11 13 15 17 19 21 23 Work 0 0.05 0.1 0.15 0.2 1 3 5 7 9 11 13 15 17 19 21 23 Public D ens it y i n a w or k day From E_Laad 22

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Charging Strategies

23

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Charging Strategies

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 N distribution D ens it y i n a w or k day 24

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Charging Strategies

D ens it y i n a w or k day 25 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.1 1 2 3 4 5 6 7 8 9 1011121314151617181920212223 E_laad Shift Public

0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 1 2 3 4 5 6 7 8 9 1011121314151617181920212223 E_laad Valley Public

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Charging Strategies

D ens it y i n a w or k day 26 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 1 2 3 4 5 6 7 8 9 1011121314151617181920212223 E_laad Work Valley Work

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 1 2 3 4 5 6 7 8 9 1011121314151617181920212223 E_laad work Shift Work

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PV1 PV2 PV3 PV4 PV5 Home Charging

N distribution E_laad Public E_laad Public Valley E_laad Public Shift E_laad Work E_laad Work Valley E_laad work Shift

Winter Summer

Grid Load

27

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Grid Load with Ameland Mobility Pattern

Winter Summer

28

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Top Charging Strategies

0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 1 3 5 7 9 11 13 15 17 19 21 23 E_laad Valley 0 0.02 0.04 0.06 0.08 0.1 0.12 0.14 0.16 0.18 0.2 1 3 5 7 9 11 13 15 17 19 21 23 E_laad work Shift