Numerous small remote power systems, which presently use diesel generators, are required at various military installations for applications that include communications, radar, lighting, and navigational aids. It may be desirable to replace many of these generators with renewable energy systems. This paper describes a method using linear programming principles and monthly average resource and load data to arrive at an optimal mix of wind and photovoltaics for system design. Storage or back up requirements are estimated by a numerical simulation of several TMY ('Typical Meteorological Year') sites with hourly data that relate system reliability and storage size. These factors are then combined to give a total system cost and reliability estimate for comparison with existing systems. The linear optimization method using average monthly resource inputs for component design works was verified by the hourly simulation program, SOLSIM.
|Number of pages||7|
|State||Published - 1988|