In designing a power system, many decisions about the configuration of the system are to be made: components to include in the system design, size of each component to use etc. Furthermore, the HOMER analysis simplifies the task of evaluating designs of both off-grid and grid-connected power systems for a variety of applications. The sensitivity analysis of HOMER then repeats this optimization as user-defined factors, such as fuel price, load size, reliability requirement, and resource quality. HOMER lists the optimal system configuration, defined as the one with the least net present cost, for each system type. This cost is the present value of the initial, component replacement, operation, maintenance, and fuel costs. When the simulations have be run, HOMER sorts the feasible cases in order of increasing net present (or lifecycle) cost. This more accurately simulates the lower efficiency of a generator when it is not operating at full capacity. HOMER also models the partial load efficiency of diesel generators. This hourly simulation also provides improved accuracy over statistical models that typically evaluate average monthly performance of a system. Due to the speed of processing these simulations, there is room for the evaluation of thousands of combinations.
The program first runs an hourly simulation of all possible configurations of system types. Īmong the various energy modeling software available, the capabilities provided by the HOMER software is the best option for modeling and investigating various hybrid systems. Hybrid configurations can potentially deliver improved performance and better economic values for a given electrification situation. A hybrid system is an electricity generation system, based on the integration of various energy sources (such as photo voltaics, wind turbines, small hydro power or diesel generators). A power system designer can use HOMER to provide an important overview that compares the cost and feasibility of different configurations and evaluate the technical performance of the power system. Evaluation of economic and technical feasibility of a large number of technology options, accountability for variations in technology costs and energy resource availability, could easily be carried out using the hybrid optimization model for electrical renewable (HOMER).
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