Design optimization of a hybrid, small, decentralized power plant for remote/rural areas

The focus of this research is to create a tool that will take into account wind, solar, and biomass resources at a location and determine how these three sources of energy would be best combined into a hybrid system to meet the load demand. The tool will allow the user to input the specifications for various models for each type of system, and then meet the load based on user inputted parameters (e.g., a requirement to meet 90% of the load at all times). The cost of energy will then be analysed, allowing the user to see what combination of elements would result in the least expensive cost of energy, as well as different ways the load may be met. The tool, which is nicknamed here HYPORA (for Hybrid Power Optimized for Rural/Remote Areas) will take into account not only the scientific basis of renewable energy; it will also account for economic and need factors, including government incentives. It is based on Microsoft EXCEL platform and can be used by engineers and scientists, as well as general public, policymakers, investors, and students, due to its user-friendliness.