Siemens Provides Solutions for Distributed Generation and Integrating Renewables into the Grid

The increasing demand for energy will need to be managed to a greater extent by renewable sources to protect the climate and conserve ever-scarcer natural energy resources. The Smart Grid enables smart generation by tapping into the potential of wind and solar power as well as geothermal energy, clean coal, energy storage and micro-turbine technologies. Successful integration of distributed and renewable generation relies heavily on effective planning and operation. The output of renewable generation (such as wind turbines or photovoltaic (PV) units) is highly intermittent with comparably few full-load hours, and it is difficult to predict. Siemens offers solutions for smart generation that make access to energy more dependable, consistent and sustainable.

Large-scale Renewable Integration

There are many trends that are important for the large-scale renewables integration market,

Key trends for the wind market:

  • Wind power is one of the fastest growing renewable energy technologies

  • The trend toward larger turbines continues (also driven by offshore wind farms)

  • There is a trend toward lower wind classes

  • Rapid market growth is evident, although with a “dip” due to recent economy.


Key trends for solar generation:

  • Cost-secure technology for peak-load hours and C02 savings

  • High margin after financing period; generation cost is operation and maintenance only

  • Solar thermal technology is moving from test plans to commercial units

  • Research on different heat transfer fluids and thermal storage to increase plant efficiency

  • Substantial increase in PV system size over the past few years


Integrating dispersed wind and solar renewable energy generation solutions into the distribution network increases infeed into the system. Since the majority of renewable energy resources are intermittent and non-dispatchable, they cannot be modeled as conventional generators with full controllability.

Using commercially available third party software tools (including PSS®SINCAL) and heuristic data mining, can provide site-specific annual models for wind, solar or heat-controlled co-generation systems

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