As the application of Additive Manufacturing (AM) expands beyond prototyping, the issues of energy consumption in AM becomes increasingly significant, particularly when it is adopted at an industrial production scale or used under resource-restricted conditions. The energy consumption of an AM process is influenced by various factors. In material extrusion type AM, for example, it includes bed heating, filament extrusion, material infill, component cooling, etc. All these factors are further determined by the equipment and the toolpath for a specific printing task. Although, build orientation and tool-path direction are frequently used to optimize part and process attributes, there is a need for more comprehensive research to understand how the choice of toolpath pattern affects the energy attributes of an AM process. This research aims to develop a toolpath creation strategy for AM tasks operating under limited energy supply conditions. In an AM process, factors such as motor axis acceleration/deceleration and the total number and length of line segments on a path have significant impacts in determining on the amount of energy used to perform the printing task. To study the impact of such factors, we will develop a model that computes the energy consumption of an AM process based on the toolpath, then analyze the impacts of part design geometry on the toolpath generation. Finally, we will create a strategy to guide the generation of toolpath for specific part geometries to effectively control the total energy requirement during the AM process.