The temporal-spatial optimization of renewable energy source allocation

        As the greenhouse effect is worsening, many counties transform their energy supply structure to promote renewable energy in order to reduce carbon emissions. Compared with fossil energy and nuclear power,... [ view full abstract ]

        As the greenhouse effect is worsening, many counties transform their energy supply structure to promote renewable energy in order to reduce carbon emissions. Compared with fossil energy and nuclear power, renewable energy needs much more land to produce energy. Moreover, the increasing of population puts pressure on land utilization. The situation is severe especially in places with high population density. Therefore, the land allocation of renewable energy becomes an important issue.

        This study aims to identify an optimal spatial allocation of solar energy, wind energy and bioenergy based on energy development scenario in the future and different environmental factors of power generation. We refer to the international policy of energy, Renewable Energy Development Act and 2025 Nuclear-Free Policy in Taiwan during our simulation. We use the energy intensity of land as selection criteria of renewable energy and calculate the maximum energy output under optimal allocation without nuclear power in the future target year of related policies. In addition, we provide the shape file data from ArcGIS to demonstrate the allocation of different renewable energy where it generates the maximum energy output.

        The result can serve as reference to departments of Energy and Land utilization planning. Furthermore, it can be used to revise the simulation results of related models to achieve more appropriate analysis. 

Keywords: renewable energy, energy intensity of land, optimal allocation of space.