Abstract
This paper presents a method for determining optimal sizes of PV array, wind turbine, diesel generator, and storage battery installed in a building integrated system. The objective of the proposed optimization is to design the system that can supply a building load demand at minimum cost and maximum availability. The mathematical models for the system components as well as meteorological variables such as solar energy, temperature, and wind speed are employed for this purpose. Moreover, the results showed that the optimum sizing ratios (the daily energy generated by the source to the daily energy demand) for the PV array, wind turbine, diesel generator, and battery for a system located in Sohar, Oman, are 0.737, 0.46, 0.22, and 0.17, respectively. A case study represented by a system consisting of 30 kWp PV array (36%), 18 kWp wind farm (55%), and 5 kVA diesel generator (9%) is presented. This system is supposed to power a 200 kWh/day load demand. It is found that the generated energy share of the PV array, wind farm, and diesel generator is 36%, 55%, and 9%, respectively, while the cost of energy is 0.17 USD/kWh.
Highlights
Hybrid photovoltaic (PV)/wind/diesel power generating system installation has played an important role due to the fact that the system is clean, environment friendly, and a secure energy source
This paper presents a method for determining optimal sizes of PV array, wind turbine, diesel generator, and storage battery installed in a building integrated system
The results showed that the optimum sizing ratios for the PV array, wind turbine, diesel generator, and battery for a system located in Sohar, Oman, are 0.737, 0.46, 0.22, and 0.17, respectively
Summary
Hybrid photovoltaic (PV)/wind/diesel power generating system installation has played an important role due to the fact that the system is clean, environment friendly, and a secure energy source. The hybrid PV/wind/diesel power generating system size and performance strongly depend on metrological variables such as solar energy, ambient temperature, and wind speed, and to optimize the system, extensive studies related to metrological variables have to be done [1]. In [6], an iterative method and evolutionary algorithm are applied to optimize a hybrid PV/wind/diesel generating system. The coefficients c1–c4 can be calculated by using a curve fitting tool such as the MATLAB fitting tool This model is not suitable to be used in an iterative loop with a small step, and in this research work, the output energy of a wind turbine is done using the wind kinetic energy. It is assumed that the diesel generator reaches its rated power shortly after it starts operating
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