Many methods for storage system optimization exist, such as optimizing read or write performance. As storage systems increase in size, a different method for optimization is a power-aware (or power-efficient) storage system which attempts to minimize power utilization. Finding a balance between minimizing power usage and maximizing the available storage space is a highly desirable option. A well-known and established technique for maximizing the utilization of storage space is data de-duplication. In a distributed storage system, however, de-duplication algorithms can result in fragmented files, severely limiting the minimization of power usage. This talk will discuss preliminary work investigating the impact of data placement techniques favoring power savings versus de-duplication.