Wendelin Exanalytics for Wind Energy

Agenda

Nexedi
Wendelin Concept
Wendelin Use Case in Wind Energy
Wendelin Use Case in Civil Engineering
Conclusion

The presentation has three parts.

First we provide some information about Nexedi.

Then we present Wendelin and show how it is used in Wind Energy.

Then we explain some of the unique features of Wendelin by providing another use case of Wendelin: Civil Engineering.

Then we summarise our presentation for Total-Eren

Nexedi

Nexedi - Profile

Largest Free Software Publisher in Europe
Founded in 2001 in Lille (France) - 35 engineers worldwide
Enterprise Software for mission critical applications
Build, deploy, train and run services
Profitable since day 1, long term organic growth

Nexedi is probably the largest Free Software publisher with more than 10 products and 15 million lines of code. Nexedi does not depend on any investor and is a profitable company since day 1.

Nexedi - Clients

nexedi.com/success

Nexedi clients are mainly large companies and governments looking for scalable enterprise solutions such as ERP, CRM, DMS, data lake, big data cloud, etc.

Nexedi - Free Software Stack

stack.nexedi.com

Nexedi software is primarily developed in Python, with some parts in Javascript.

Agenda

Nexedi
Wendelin Concept
Wendelin Use Case in Wind Energy
Wendelin Use Case in Civil Engineering
Conclusion

The presentation has three parts.

First we provide some information about Nexedi.

Then we present Wendelin and show how it is used in Wind Energy.

Then we explain some of the unique features of Wendelin by providing another use case of Wendelin: Civil Engineering.

Then we summarise our presentation for Total-Eren

Wendelin Concept

Agenda

Nexedi
Wendelin Concept
Wendelin Use Case in Wind Energy
Wendelin Use Case in Civil Engineering
Conclusion

The presentation has three parts.

First we provide some information about Nexedi.

Then we present Wendelin and show how it is used in Wind Energy.

Then we explain some of the unique features of Wendelin by providing another use case of Wendelin: Civil Engineering.

Then we summarise our presentation for Total-Eren

Structural health monitoring and ice detection for connected wind turbines with Wendelin

Dr.-Ing. Steffen Pankoke

Pankoke (at) woelfel (dot) de

Dr. Klaus Wölfel

klaus (at) nexedi (dot) com

IDD.Blade

IT Problems

Reliable data collection
Scalable storage
Parallel processing
Out-of-core processing
Predictive algorithms

Introducing Wendelin

Reliable data collection: Fluentd

Scalable storage: NEO

Parallel Processing: ERP5

    
            
              # Initialize data
              data_size = 1e6
              server_count = 1000
              chunk_size = data_size / server_count
              data = zbigarray(data_size)
              # Process data in parallel on each server (Map Reduce, Batch, etc)
              for server in server_count:
                data.activate().process(server*chunk_size, chunk_size)

Out-of-core processing: wendelin.core

    
            
              # Numpy
              np.ndarray(shape=(2,2), dtype="float")
              # Out-of-core data
              ZBigArray(shape=(1e18,2), dtype="float")
              # Full out-of-core
              ZBigArray(shape=(1e9,2e9), dtype="float")