Autonomous bidding on the day

ahead electricity market

13 September Peter Goudswaard

AgroEnergy timeline

Founded byRabobank & LTO

2001

100% subsidiaryof Eneco

2006

first APX deal IntroductionBiedOptimaal

2014

Energy Management

20182010

Intraday trade

Energy cooperative

Self service trading portal

first OTC deal

Data drivenEnergy management

BiedOptimaal Intraday

Autonomous GreenhouseChallenge

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styles

• Mostly family business; producing

vegetables & flowers

• Energy: ~30% of total costs

• Decentral electricity production: 8% of

total Dutch power generation

• Digitalisation is still limited but growing

Our customers

Introduction BiedOptimaal via www.agro-energy.nl/slimme-energieoplossingen/biedoptimaal/

Growth management vs. energy management

Greenhouse

climate

EPEX, TTF,

Imbalance

Weather

Crop

growth

CHP

BufferBoiler

AssetsSales

0:00u 24:00uD+110:30u:

Deadline bidding D+2 t/m D+4

?

Daily dilemma: day ahead bid

Decide & bidEach asset/ each hour/ volumes/ bid price/ ask price

Crop

climate

Weather

0:00u 24:00uD+110:30u:

D+2 t/m D+4

Forecasting energy demand

Forecasting

0:00u 24:00uD+1 D+2 t/m D+4

Forecasting energy prices

Forecasting

EPEX & TTF

10:30u:

0:00u 24:00uD+110:30u:

D+2 t/m D+4

Forecasting buffer level

Forecasting

CHP

BufferBoiler

0:00u 24:00uD+110:30u:

D+2 t/m D+4

Asset optimisation

Optimization problem:

What volume

Make/ buy/ sell?

What price?

CHP

BufferBoiler

Assets/ preferences & contraintsForecasts

Bid advice

BiedOptimaal

10:30u:

Deadline bidding D+17:00u:

BiedOptimaal

Acquiring settings &

measurements

Forecasting

Optimization

Process chain EnergySpecialist APXgroup

Quality checksBidding & confirmation

Asset control

Stuurbox & climate computer

CHP

BufferBoiler

Results so far

• Including growers without Agro Energy contract

• ‘Auto pilot’ is used by >95% of users

• From management tool towards full service

• Winner of Dutch Data Science award 2017

Automation & human interaction

• Optimization beats human experience, but

• Full service only possible by automation

together with monitoring by specialist

• Succes of a forecasting model depends on

acceptance by end user

• Great effort needed in adapting models and

including preferences to satisfy users

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styles

Smart heat distribution in clusters

how to utlitise your geothermal source maximal

BiedOptimaal Intraday

Every hour new bid at Intraday market;

optimal positions based on actual buffer levels

Autonomous Greenhouse challenge

Use AI to produce a cucumber crop remotely

(organised by Tencent & WUR)

http://www.autonomousgreenhouses.com/

Next steps

Volg ons:

Energiepartner voor de glastuinbouw