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User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee , V. Stauch, I. Alberts

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Page 1: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

User optimized weather and power forecasts:

Fostering acceptance through dialog

- Bridging the gap between meteorology and the energy sector -

Daniel Lee, V. Stauch, I. Alberts

Page 2: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Grid management in the age of renewables

Renewable proportion in power mix

Current

Goal from federal energy concept 2010

With expanded energy corridor (coalition contract 2013)

Page 3: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Grid management in the age of renewables

German High-Voltage Transmission System

http://www.solarbusinessfocus.com

TSOs have the priority of ensuring energy safety and stability

Stabile frequency (50 Hz) and voltage (380/220 kV)

Balanced supply and demand

Power can only be transmitted using existing infrastructure

Page 4: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Energiewende – Herausforderung für die Übertragungsnetze

Page 5: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Energiewende – Herausforderung für die Übertragungsnetze

Power grid

Page 6: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Energiewende – Herausforderung für die Übertragungsnetze

Power grid

REA Power market

Power trading and renewable energy act (REA) require long-distance power transfers

Page 7: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Energiewende – Herausforderung für die Übertragungsnetze

Power grid

REA Power market

Power trading and renewable energy act (REA) require long-distance power transfers

Page 8: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Power grid

REA Power market

Power trading and renewable energy act (REA) require long-distance power transfers

Energiewende – Herausforderung für die Übertragungsnetze

Page 9: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Power grid

The grid is becoming a power transport system

Problems:

n-1 safety

Voltage & frequency maintenance

REA Power market

Power trading and renewable energy act (REA) require long-distance power transfers

Energiewende – Herausforderung für die Übertragungsnetze

Page 10: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Spatial distribution of supply and demand

Energiewende – Herausforderung für die Übertragungsnetze

Page 11: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Year 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013

Events* 2 15 51 172 387 228 312 290 998 970 1009

Days 2 14 51 105 185 144 156 161 308 344 356

Number of (n-1) critical situations

* Ereignisse, in deren Folge Maßnahmen nach § 13 EnWG und § 11 EEG ergriffen wurden; ohne Spannungsprobleme

Energiewende – Herausforderung für die Übertragungsnetze

Page 12: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Grid management in the age of renewables

Turbulence effects at the windpark Horns Rev, west coast of Denmark, 12. Feb. 2008, 13:00. Photo: Christian Steiness

EWeLiNE: Development of innovative weather and power forecast modelsfor the grid integration of weather dependent energy sources

Page 13: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

TSOs: Current forecast usage

Traditional use of meteorological data:

Long-term climate data for siting

Page 14: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

TSOs: Current forecast usage

New use of meteorological data:

Day-ahead and intraday forecasts for grid management

Fraunhofer IWES, 2014

Page 15: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

TSOs: Current forecast usage

Since early 2000s: Direct use of DWD forecasts for wind power forecasts

Additionally: Inofficial use of secondary weather products

Wetteronline.de

Page 16: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Current forecast shortcomings

Nonetheless, errors can be large enough to endanger grid stability!

Projected productionDay aheadIntraday

3000 MW error:

Power balancing

necessary

6000 MW error:

Trade necessary

Page 17: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Current forecast shortcomings

Most errors in grid projections are from renewable feed-in, which is weather-dependent.

Wind

Front passages (intensity and spatiotemporal positioning)

Bias in stable conditions

Diurnal cycle

Photovoltaic

After passage of cold fronts

Convection

Low stratus clouds

Snow cover

Additional gains can come from using probabilistic forecasts.

Page 18: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption: User dialog

Energy users come from a nonmeteorological background and are used to deterministic forecasts

Tem

pera

ture

“Hard” initial condition

Easy: Single forecast asprojected “truth“

Forecast time

Page 19: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption: User dialog

Energy users come from a nonmeteorological background and are used to deterministic forecasts

Tem

pera

ture

Forecast time

Hard: Confidence communicated asa probability density function

Distribution ofinitial belief

Page 20: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption: User dialog

Before product development begins: Discussions with users, workplace visits to understand their needs

Page 21: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption: User dialog

Before product development begins: Discussions with users, workplace visits to understand their needs

Throughout the development process: Frequent meetings, brainstorming sessions, training with new products, etc.

Page 22: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption: User dialog

Example: Users would like to see probability of windspeed from 2 directions

First try:

250°

N

10 20 30 40

25%

75%

10%

90%

m /s

Page 23: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption: User dialog

Example: Users would like to see probability of windspeed from 2 directions

First try:

250°

N

10 20 30 40

25%

75%

10%

90%

m /s

Too complicated!

Page 24: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption: User dialog

Example: Users would like to see probability of windspeed from 2 directions

Second try:

Just right!10

20

30

-10

-20

-30

1 2 3 6

kn

time

Page 25: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption:

Flexible technical solutions

Weatherproducts

Weatherforecasts

Web server

GeoServer

Firewall

IWES (power forecast)

DWD (weather forecast) TSOs (grid management)

WMS /WFS

Powerproducts

Powerforecasts

EWeLiNE DemonstrationSystem GUI

(JavaFX + WebKit)

Weather web client

(DWD)

Power client(IWES)

Firewall

Firewall

Page 26: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption:

Flexible technical solutions

EWeLiNE weather web client

Page 27: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption:

Flexible technical solutions

Custom plots for user locations

Custom mashups to

match user‘s needs

Page 28: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Fostering adoption:

Flexible technical solutions

Seamless integration in (semi-) automated decision support systems

Page 29: User optimized weather and power forecasts: Fostering acceptance through dialog - Bridging the gap between meteorology and the energy sector - Daniel Lee,

Thanks for listening!

Team at DWD:

Isabel Alberts

Zied Ben Bouallegue

Stefan Declair

Tobias Heppelmann

Richard Keane

Carmen Köhler

Regina Kohlhepp

Visit us at http://projekt-eweline.de/en

Daniel Lee

Kristina Lundgren

Annika Schomburg

Jonas von Schumann

Vanessa Stauch

Andrea Steiner

Andreas Röpnack

Gernot Vogt

Elsewhere at WWSOC:

UAS-PS304.03 Sunday 14:20 – 14:40 (Kristina Lundgren)

POM Monday 15:00 – 16:30 (Daniel Lee)

POT Tuesday 15:00 – 16:30 (Kristina Lundgren, Jonas von Schumann)

SCI-PS179.02 Tuesday 17:00 – 17:20 (Annika Schomburg)

SCI-PS220.03 Wednesday 14:20 – 14:40 (Jonas von Schumann)