TY - GEN
T1 - Optimization of photovoltaic power generation using a measurement and management technology (MMT) platform
AU - Klein, Levente J.
AU - Rodrigues, Sergio Bermudez
AU - Nitta, Satya
AU - Sandstrom, Robert
AU - Guha, Supratik
AU - Hamann, Hendrik
PY - 2010
Y1 - 2010
N2 - In this article we describe preliminary results for a general data acquisition and management platform applied to system level solar farm energy optimization. The system optimization takes into account weather, solar radiance, sky cloud coverage, and solar panel characteristics. Despite continuous improvement in photovoltaic (PV) systems, the generated power of many installations is underperforming due to factors like: light obstruction, orientation and tilt of the solar panels, variation in manufacturing and installation process and debris or soiling on the solar panels. To overcome the above challenges, we leverage the capabilities of an energy management analytic platform to monitor in real time the power generation from solar panels under real operating conditions. The generated power of the solar panel is correlated with predictive weather models where the influence of sky coverage, temperature and opacity of air are integrated in physical models to predict the solar panel performance. Furthermore, it is recognized that in large scale photovoltaics system the generated power is dependent on the performance of individual cells and solar panels. Analyzing spatial and temporal trends of individual solar panels and combining it with real time power performance enable an increased visibility in the PV system performance and optimization through power management of the individual solar panel. Copyright
AB - In this article we describe preliminary results for a general data acquisition and management platform applied to system level solar farm energy optimization. The system optimization takes into account weather, solar radiance, sky cloud coverage, and solar panel characteristics. Despite continuous improvement in photovoltaic (PV) systems, the generated power of many installations is underperforming due to factors like: light obstruction, orientation and tilt of the solar panels, variation in manufacturing and installation process and debris or soiling on the solar panels. To overcome the above challenges, we leverage the capabilities of an energy management analytic platform to monitor in real time the power generation from solar panels under real operating conditions. The generated power of the solar panel is correlated with predictive weather models where the influence of sky coverage, temperature and opacity of air are integrated in physical models to predict the solar panel performance. Furthermore, it is recognized that in large scale photovoltaics system the generated power is dependent on the performance of individual cells and solar panels. Analyzing spatial and temporal trends of individual solar panels and combining it with real time power performance enable an increased visibility in the PV system performance and optimization through power management of the individual solar panel. Copyright
UR - https://www.scopus.com/pages/publications/84878204104
M3 - Conference contribution
AN - SCOPUS:84878204104
SN - 9781617823206
T3 - 43rd International Symposium on Microelectronics 2010, IMAPS 2010
SP - 760
EP - 765
BT - 43rd International Symposium on Microelectronics 2010, IMAPS 2010
T2 - 43rd Annual IMAPS International Symposium on Microelectronics, IMAPS 2010
Y2 - 31 October 2010 through 4 November 2010
ER -