1. Arne Bartels
Shadow prediction: SQL 2017 spatial data types and astronomy well mixed

2. Thanks to all Sponsors

3. SQL 2017 spatial data types and astronomy well mixed

4. Agenda
Whois Vestas Whoami Motivation Examples How to model? What is needed? Demo1: Drawing circles or Introduction to spatial datatypes Tools 1: Tilt of coordinate system/spherical trigonometry Demo2: Paint the sun in the sky Tools 2: Azimuth, altitude, size Demo3: Add the turbine(s) Bonus : Astronomy, precise to the second

5. Who is Vestas, what are we doing

6. Vestas is currently the world biggest wind turbine manufacturer
Surveillance of plants with turbines
Supercomputer Mindstorm
16848 cores 41600GB Memory TFlop/s
currently Rank 441
Datawarehouse/Data Mart server
Six servers Dev/Test/Prod ETL(”DSA”) DM(”DPA”)
SQL 2016 (2017 soon)
Prod and Test 40core 3.5GHz 1.5TB Memory
Dev 20core 3GHz 256GB Memory
Storage raw 160TB, all SSD, 800TB effective capacity
Hardware located in Copenhagen DK
Core Team of a handful SQL/SSIS-Developers from five countries mainly in Aarhus DK
New design center in Porto
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7. Whoami
Arne Bartels
Working for Vestas Wind Systems A/S in Aarhus DK. Since approx as Lead Software Development Engineer
Software developer in wind industry since 2001
Physicist by education, programmer by profession
Worked in C/C++,Pascal, Linux scripts/PHP, MySQL…
Recent: T-SQL, SSIS, C#
LinkedIn

8. Motivation
Inspired by real world challenge Encourage to use unusual combination of methods Introduce spatial data types i.e. GEOGRAPHY A shift of perspective might give new ideas Show what Management Studio/SQLServer can do Show off what I can do

9. How to model?
Assume worst case i.e. turbine is always pointed into the sun, then the turbine can be modeled as a sphere on top of the tower. The radius is the blade length or a bit more. The house in the shadow can be encompassed by a sphere where no shadow is allowed. Then the sensitive areas can be projected as circles in the sphere, that represents the sky seen from the house Compare to path of the sun seen from the house => simple drawings of circles with GEOGRAPHY are usable

10. What is needed?
Path of the sun -> formulas known for ages Turbine picture in the sky -> basic (?) geometry

11. Demo 1

12. Drawing circles or Introduction to spatial datatypes
Goal: introduce the necessary datatypes and operators
Necessary tools:
Minimum SQL2012, here 2017
SQL Management studio
Any Database
Imagination…

13. Tools 1: Tilt of coordinate system/spherical geometry
There seem to no way to move GEOGRAPHY elements in SQL directly. Possible solution: parse as XML, recalculate and recreate. How do lat and lon change if we tilt by angle ? Believe me, check here for yourself, or look into the appendix
sin 𝑙𝑎 𝑡 ′ = cos 𝜗 sin 𝑙𝑎𝑡− sin 𝜗 cos 𝑙𝑎𝑡 cos 𝑙𝑜𝑛
tan 𝑙𝑜𝑛′ = sin 𝑙𝑜𝑛 cos 𝜗 cos 𝑙𝑜𝑛+ sin 𝜗 tan 𝑙𝑎𝑡

14. Demo 2

15. Model the sun’s area in the sky for different latitudes
Paint the sun in the sky
Goal:
Model the sun’s area in the sky for different latitudes
Subtract the part obscured by the ground, aka night

16. Tools 2: Azimuth, altitude, size

17. Azimuth
Precise solution: tan 𝛼= sin 𝑙𝑜𝑛 𝑇 − 𝑙𝑜𝑛 𝑃 tan 𝑙𝑎𝑡 𝑇 cos 𝑙𝑎𝑡 𝑃 − sin 𝑙𝑎𝑡 𝑃 cos 𝑙𝑜𝑛 𝑇 − 𝑙𝑜𝑛 𝑃 Short distance aproximation: tan 𝛼= cos 𝑙𝑎𝑡 𝑇 𝑙𝑜𝑛 𝑇 − 𝑙𝑜𝑛 𝑃 𝑙𝑎𝑡 𝑇 − 𝑙𝑎𝑡 𝑃

18. Altitude Horizontal distance d from .STDistance()
Slant distance 𝑑 𝑠 = 𝑑 ℎ 𝑇 − ℎ 𝑃 2
Assume flat geometry plus horizontal dip 𝜑 2 = 𝑑 2𝑅
Altitude for short distances:𝛼′= tan −1 ℎ 𝑇 − ℎ 𝑝 𝑑 − 𝑑 2𝑅

19. Size Add both radiuses Add sun radius full or partially
𝛿= sin −1 𝑟 𝑇+ 𝑟 𝑃 𝑑 𝑠 °

20. Demo 3

21. Add turbine(s) and houses in the mix
ISEP and a (virtual) turbine

22. Bonus

23. Astronomy, precise to the second

24. Thanks for your attention!