Abstract
Spatial and temporal modeling can be extended by other computer tools focused on optimization of fuel and power supply. Multi-criteria analysis is used for regional energy planning and development because the optimization of energy systems requires physical, economic, environmental, and social considerations. The more complex energy supply models can be used for predicting the feature. They deal with technological innovations and efficiency improvements, which can provide better optimization on the local and global scale. Many of the assessment tools are used to support decision-making. Renewable energy sources can be included in the models as a component that helps to reduce the environmental impacts of energy consumption. In order to develop an efficient power grid, it is important to know the exact capacity of various renewable energy sources because each renewable energy source has a different energy generation capacity. Optimized deployment of innovated existing power sources and renewable energy sources will reduce the operational and maintenance costs of the energy generated units. In general, cost minimization and power maximization under defined environmental restrictions are the two main objectives in the described assessment tools.
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Acknowledgements
The modeling research was processed in the GIS Laboratory at the Faculty of Science, Charles University in Prague and was supported in the framework of FRVS project 131/2014/A/a. I am grateful to the Institute for Energy and Transport (IET) for presentation of solar radiation and photovoltaic electricity potential country and regional maps for Europe in the Joint Research Centre Science Hub of the European Commission. I would like to thank the national authorities, such as CENIA and T.G. Masaryk Water Research Institute, for regional spatial datasets. The described case study is based on a poster presentation at the 36th International Symposium on Remote Sensing of Environment, 11–15 May 2015, Berlin, Germany.
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Matejicek, L. (2017). Advanced Assessment Tools for Spatial and Temporal Analysis of Energy Systems. In: Assessment of Energy Sources Using GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-52694-2_11
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