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Question
• What are the implications of LEC
roll-out from a national scale energy
systems perspective?
• Flexible charging in LECs
Focus
Model structure
Electric Vehicle charging
→ instant and flexible
→ at home and the office
Demand Category 1 Category 2 Category 3 Category 4 Category 5
Yearly distance
driven [km]
7561 14674 19793 24853 41915
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 73 76 79 82 85 88 91 94 97 100 103 106 109 112 115 118 121 124 127 130 133 136 139 142 145 148 151 154 157 160 163 166
Demand
[-]
Normalized Transport demand profiles over 1 representative week
Category 1 Category 2 Category 3 Category 4 Category 5
Sunday
Prosumer Potentials
• Proxy for consumer
acceptance and LEC roll-out
• Share of local demand that
can be maximally met with
local PV and battery storage
• Uncertain factor used in
scenario definition
Scenarios
Qualitative storylines
• Consumer acceptance and LEC roll-out
Scenario specifications
• EV charging modes, Prosumer
Potentials, storage grid interaction
Other assumptions
• Energy demands, energy prices,
technology costs, …
Key findings
Flexible charging is a no-regret option
to mitigate peak charging loads,
minimizing local battery storage and
distribution grid investments
→ decreasing peak loads (-1.5 GW)
and battery storage investment
(-0.7 GW) from Consumer to LEC
scenarios
Key findings
Flexible charging and high Prosumer
Potentials enabler of PV uptake and
higher shares of local use of
renewables
→ Commercial PV capacity doubles
(+8 GW) under LEC-hard
→ Share of RE direct use increases
from 16.0 to 40.5%
Key findings
Uptake of battery storage and flexible
charging leads to prolonged use of the
distribution grid at peak capacity
→ ‘flat’ load duration curves at peak
capacity in all decentralized scenarios
Some level of curtailment is cost
effective to avoid investment in grid
peak capacity,
→ ~ 5-7% of PV production under the
LEC scenarios
What’s still on our wishlist?
• Broader energy system perspective
➢ integrate model features in TIMES
Belgium
• More extensive electrification scenarios
➢ transport, heat
• Further flexibility options
➢ V2G, heat flex
• Elaboration on grid constraints & costs
➢ link to specialist models
• Consideration of mobility behaviors
➢ EV charging, car sharing, home
office, MaaS
Visual wish list
Modelling flexible electric vehicle charging in local energy communities

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Modelling flexible electric vehicle charging in local energy communities

  • 1.
  • 2. Question • What are the implications of LEC roll-out from a national scale energy systems perspective? • Flexible charging in LECs Focus
  • 4. Electric Vehicle charging → instant and flexible → at home and the office Demand Category 1 Category 2 Category 3 Category 4 Category 5 Yearly distance driven [km] 7561 14674 19793 24853 41915 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46 49 52 55 58 61 64 67 70 73 76 79 82 85 88 91 94 97 100 103 106 109 112 115 118 121 124 127 130 133 136 139 142 145 148 151 154 157 160 163 166 Demand [-] Normalized Transport demand profiles over 1 representative week Category 1 Category 2 Category 3 Category 4 Category 5 Sunday
  • 5. Prosumer Potentials • Proxy for consumer acceptance and LEC roll-out • Share of local demand that can be maximally met with local PV and battery storage • Uncertain factor used in scenario definition
  • 6. Scenarios Qualitative storylines • Consumer acceptance and LEC roll-out Scenario specifications • EV charging modes, Prosumer Potentials, storage grid interaction Other assumptions • Energy demands, energy prices, technology costs, …
  • 7. Key findings Flexible charging is a no-regret option to mitigate peak charging loads, minimizing local battery storage and distribution grid investments → decreasing peak loads (-1.5 GW) and battery storage investment (-0.7 GW) from Consumer to LEC scenarios
  • 8. Key findings Flexible charging and high Prosumer Potentials enabler of PV uptake and higher shares of local use of renewables → Commercial PV capacity doubles (+8 GW) under LEC-hard → Share of RE direct use increases from 16.0 to 40.5%
  • 9. Key findings Uptake of battery storage and flexible charging leads to prolonged use of the distribution grid at peak capacity → ‘flat’ load duration curves at peak capacity in all decentralized scenarios Some level of curtailment is cost effective to avoid investment in grid peak capacity, → ~ 5-7% of PV production under the LEC scenarios
  • 10. What’s still on our wishlist? • Broader energy system perspective ➢ integrate model features in TIMES Belgium • More extensive electrification scenarios ➢ transport, heat • Further flexibility options ➢ V2G, heat flex • Elaboration on grid constraints & costs ➢ link to specialist models • Consideration of mobility behaviors ➢ EV charging, car sharing, home office, MaaS Visual wish list