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The role of electric mobility in future Energy Systems. Dr. ir. Zofia Lukszo With collaboration with dr. Remco Verzijlbergh Section Energy and Industry Technology, Policy and Management @: [email protected] Content. Why electric mobility? Responsive demand

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the role of electric mobility in future energy systems

The role of electric mobility in future Energy Systems

Dr. ir. Zofia Lukszo

With collaboration with dr. Remco Verzijlbergh

Section Energy and Industry

Technology, Policy and Management

@: [email protected]

content
Content
  • Why electric mobility?
      • Responsive demand
  • Are the goals of many actors involved the same?
  • What about the environment?
  • Why EVs can be compared to cold storage warehouses?
  • What can we learn from looking at different price scenario’s?
  • Future work
slide3

Future energy systems

Old

schedule generation

to meet demand

New

schedule demand

to meet generation

e.g.

electric mobility

electric mobility
Electric mobility

How can electric mobility contribute to a more sustainable transportation & electrical power system and on the same time align the interests

of its relevant actors?

See: Remco Verzijlbergh, The Power of Electric Vehicles,

PhD Thesis TU Delft, 2013, http://repository.tudelft.nl/

slide7

Power sector

complex socio-technical system

estimation of the expected energy usage of evs data from mobility research netherlands
Estimation of the expected energy usage of EVsData from Mobility Research Netherlands

Average: ~34 km

~ 90% < 100km

Ministry of Transport, Public Works and Water Management, “Mobiliteitsonderzoek Nederland (in Dutch)” Available: www.mobiliteitsonderzoeknederland.nl

network load 100 houses and 50 evs
Network load:100 houses and 50 EVs

Price control

Load Control

Imbalance Control

Separate EV demand profiles

electric mobility in a city city of utrecht
Load flow analysis shows: Electric mobility in a city– city of Utrecht
  • 10% electric mobility  24% overloaded
  • Reference case (merely organic growth)
  •  19% overloaded

See E.J. Kleiwegt, Electric Mobility: on the Road to Energy Transition:

A technical and actor assessment of social costs of electric mobility, Master Thesis, TU Delft, 2011

http://repository.tudelft.nl/

example city of utrecht
Example – city of Utrecht

Use calculations for critical component map

Green/Yellow/

Red

locations for installing charging stations

slide18

Negative price?

Conventional,

wind and

solar

power and

spot prices

for the German

system on

June 16th

2013.

slide19

Responsive demand – cold storage

Old

schedule generation

to meet demand

New

schedule demand

to meet generation

e.g. with

a cold storage warehouse

slide20

Matching renewable energy and demand response through price

  • System model:
  • Cold store has PV generation on site
  • PV production known in advance
  • Pays price Cin(t) for energy, receives Cout(t)
  • Temperature upper bound Tmax
  • Goal: Investigate relations between demand response strategy of a cold store and electricity prices & Evaluate different pricing regimes on optimal energy use
slide21

Physical model of cold store

Heat balance

Incoming heat

Outgoing heat

Resulting equation for T dynamics

Discretized in time

slide22

System model

  • Cold store has PV generation on site
  • PV production known in advance
  • Pays price Cin(t) for energy, receives Cout(t)
  • Temperature upper bound Tmax
slide23

Optimization formulation

Objective function

constraints

slide24

Compare cold store with EV optimization problem

Optimization problem

State dynamics

slide25

Price scenarios

A: flat tariff

B: flat double tariff

C: day-night tariff

D: APX based real time tariff

E: APX based real time tariff,

high solar penetration

slide26

Comparison

  • Optimal cooling trajectory depends strongly on tariff structure.
  • Local use of PV energy depends on tariffs
  • Most \'value\' of control in case with high solar penetration.
  • The effective use of demand response requires the right tariff structure
nwo urses capp project
NWO URSES - CaPP Project
  • Design, Management and Control Systems for multi-modal, detachable decentral sustainable energy systems
  • Car as Power Plant as a multi-modal system (power, transport, gas/hydrogen, heat)
  • ICT and business models for CaPP
  • Detachable decentral = fuel cell cars
nwo urses capp project1
NWO URSES – CaPP Project
  • design, assess and analyse the fuel cell car as power plant (CaPP) in integrated transport and energy systems
  • investigate and design robust control systems of CaPP-based smart energy systems
  • explore effective incentive and organizational structures for the emergence of CaPP integrated energy and transport systems
most urgent question
Most urgent question
  • How to reduce uncertainty for actors in the energy chain by developing the science and tools that are needed for smart energy systems?
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