Optimal planning of solar power plants
07 May 2012
The photovoltaics industry is booming, and the market for solar farms is growing quickly all over the world. Yet, the task of planning PV power plants to make them as efficient as possible is far from trivial. Researchers from Fraunhofer in in Kaiserslautern, working with Siemens Energy Photovoltaics, have developed software that simplifies conceptual design.
The share of renewable energies in the overall energy mix is rising rapidly worldwide. With three-figure growth rates, photovoltaics (PV) play a major role. According to market research organisations, the PV market grew by 139 per cent in the year 2010. Germany is among the world's leaders in this technology that uses solar cells to convert sunlight straight into electrical energy.
Yet the task of planning large-scale PV power plants spanning several square kilometers is a complex one. With customer specifications, regulations and government subsidy programmes to consider, designers must also account for numerous other factors including weather, climate, topography and location. These factors, in turn, influence the selection and placement of the individual components which include the PV arrays with their solar modules, inverters and wiring, not to mention access roads.
Until now, engineers have designed solar power plants using CAD programmes, with every layout and every variation painstakingly generated separately. This is a very time-consuming approach. To improve a planned power plant in terms of certain criteria, or to compare different concepts with one another, oftentimes the entire planning process has to be repeated.
In the future, this approach will be improved considerably: researchers at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern, in collaboration with Siemens Energy Photovoltaics, have developed a new planning software that makes it possible to build solar power plants better and more quickly.
''Our algorithms programmed exclusively for the Siemens PVplanet (PV Plant Engineering Toolbox) software provide engineers with several hundred different plant designs in a single operation. It takes less than a minute of computation time,'' ITWM researcher Dr. Ingmar Schüle points out.
The only user inputs are parameters such as the topography of the construction site and the module and inverter types that will be used. The user can also change a number of parameters – such as the orientation, spacing and inclination of the solar arrays – to study the impact on the quality of the planning result.
To evaluate the designed PV power plants, an income calculation is performed that includes a simulation of the weather in the region in question, the course of the sun throughout the year and the physical module performance including shading effects. With the results of this computation and an estimate of the investment and operating costs, the planning tool can come up with a fi gure for the LCOE (levelized cost of energy).
By comparing the plant with a large number of similar confi gurations, the planners can investigate the sensitivity of the various parameters to fi nd the right solution from a large array of options.
''The software assists the expert with decisionmaking and helps with the design of the best possible PV power plant for the site involved. Which one is 'best' depends on a number of aspects – from the customer's objectives to the site and environmental conditions, but also on the fi nancing concept and the fi nancial incentives for photovoltaics in the target region. All of these criteria are taken into account.''
Schüle points out. Dr. Martin Bischoff, project manager at Siemens AG, Energy Sector, is also convinced of this approach, ''Aside savings, more than anything else the planning tool provides an overview of the scope for optimization. This provides the best possible support for planning the most cost-effi cient systems. There has been no other planning software with this scope or level of detail until now.''
Interested individuals can get an impression of the successful teamwork between ITWM and Siemens Energy Photovoltaics at the Intersolar Europe trade fair in Munich, June 13-15, 2012: the software celebrates its public premiere at the Siemens booth in Hall B4, Booth B4.380.
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| In the future, large PV plants such as the Siemens solar farm that went into operation in 2011 in Le Mées, France, can be planned quickly and efficiently using the PVplanet software solution. © Siemens AG |
Yet the task of planning large-scale PV power plants spanning several square kilometers is a complex one. With customer specifications, regulations and government subsidy programmes to consider, designers must also account for numerous other factors including weather, climate, topography and location. These factors, in turn, influence the selection and placement of the individual components which include the PV arrays with their solar modules, inverters and wiring, not to mention access roads.
Until now, engineers have designed solar power plants using CAD programmes, with every layout and every variation painstakingly generated separately. This is a very time-consuming approach. To improve a planned power plant in terms of certain criteria, or to compare different concepts with one another, oftentimes the entire planning process has to be repeated.
In the future, this approach will be improved considerably: researchers at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern, in collaboration with Siemens Energy Photovoltaics, have developed a new planning software that makes it possible to build solar power plants better and more quickly.
''Our algorithms programmed exclusively for the Siemens PVplanet (PV Plant Engineering Toolbox) software provide engineers with several hundred different plant designs in a single operation. It takes less than a minute of computation time,'' ITWM researcher Dr. Ingmar Schüle points out.
The only user inputs are parameters such as the topography of the construction site and the module and inverter types that will be used. The user can also change a number of parameters – such as the orientation, spacing and inclination of the solar arrays – to study the impact on the quality of the planning result.
To evaluate the designed PV power plants, an income calculation is performed that includes a simulation of the weather in the region in question, the course of the sun throughout the year and the physical module performance including shading effects. With the results of this computation and an estimate of the investment and operating costs, the planning tool can come up with a fi gure for the LCOE (levelized cost of energy).
By comparing the plant with a large number of similar confi gurations, the planners can investigate the sensitivity of the various parameters to fi nd the right solution from a large array of options.
''The software assists the expert with decisionmaking and helps with the design of the best possible PV power plant for the site involved. Which one is 'best' depends on a number of aspects – from the customer's objectives to the site and environmental conditions, but also on the fi nancing concept and the fi nancial incentives for photovoltaics in the target region. All of these criteria are taken into account.''
Schüle points out. Dr. Martin Bischoff, project manager at Siemens AG, Energy Sector, is also convinced of this approach, ''Aside savings, more than anything else the planning tool provides an overview of the scope for optimization. This provides the best possible support for planning the most cost-effi cient systems. There has been no other planning software with this scope or level of detail until now.''
Interested individuals can get an impression of the successful teamwork between ITWM and Siemens Energy Photovoltaics at the Intersolar Europe trade fair in Munich, June 13-15, 2012: the software celebrates its public premiere at the Siemens booth in Hall B4, Booth B4.380.