Application of Nature Based Optimization Techniques in Optimizing Water Used in Renewable Energy Systems
The engineering advancements and burgeoning population have aggravated the requirements of energy. As the typical fuel resources are limited, the recent trend of energy demand has enforced concerns on the availability of fossil based fuels.The disturbance in the price of crude oil is one of the effect of this growing demand.That is why the renewable energy systems like hydro power, solar, wind, wave, tidal etc. has become a topic of concern and research.The common objective is the maximization of conversion efficiency and reduction of the expenses for the conversion.However, in most of the previous studies it was found that the function of water in enhancing productivity and decreasing cost is ignored.The novel and successful application of nature mimicking algorithms like Ant Colony,Artificial Bee,Particle Swarm Optimization in recent years has been used to identify optimal scenarios which can minimize the water requirement maintaining the balance between water used and energy produ