The increasing number of satellites in orbit and the growing complexity of their subsystems and missions have led to a rise in the demand for energy to power on-board systems. ORiS proposes an in-orbit servicing concept in which dedicated satellites provide energy on demand via high-power laser links. One of the main challenges for such a service is the distribution geometry of the ORiS satellites, which has to maximize the total transmitted energy while minimizing the number of satellites employed, thereby maximizing profit. Since most existing constellation design methods target Earth observation missions rather than satellite-to-satellite interactions, this thesis presents a custom Python-based tool to analyse and optimize constellation performance.