Access of electricity in the developing country is a big issue that the government highlyrnconcerned. Small wind turbines are one of the alternative the government have in orderrnto address electricity specially in rural areas. Wind turbines are highly dependent on windrnspeed, hence the areas with low wind speed region can not access the electricity as expected.rnThis is because the turbine works in low wind speed range which gives the annual energyrnproduction more less than the desired output.This thesis investigate the way how to get thernoptimum energy output from small wind turbines by lowering the time at which the windrnturbine starts rotating and generating electricity with out decreasing performance of thernturbine.rnThe main objectives of the thesis were starting time and coe cient of performance andrnthe parameters used for the optimization processes were chord value, twist value and typernof airfoil. Two non optimized blade with single and mixed airfoil section are designed withrnusual designing procedure by using horizontal axis wind turbine design code credited tornOboe Daniele and Marinoni Andrea. Three optimized blade which have 0.8466m, 0.5m,rnand 0.5m radius with the rst two blades have SG6043 airfoil section and the third one hasrnSD7062 airfoil section are designed. The optimization is taken by multi objective geneticrnalgorithm and di erent input criteria like airfoil type, blade number, starting wind speed,rnresistive torque is taken for a better investigation. Beside to analysis of the optimized andrnnon optimized blade, the e ect of weight given to starting, genetic algorithm parameters,rnlimiting the boundary of twist and chord value, airfoil, designing the blade with singlernand mixed airfoil, blade number, and starting data are well investigated. Non optimizedrn3-bladed, SD7062 airfoil section blade starts in 16.3sec at 5mrns wind speed while the Optimizedrnblade with the same blade speci cation starts at 8.63 second which means there is 88.8%rnimprovement in starting time but the coe cient of performance only decreases from 0.34rnto 0.335, which means its percent reduction is 1.49% . From previously conducted researchrnon starting performance with the same input criteria with this thesis by (1) which getsrn87% improvement in starting time and 1.6% reduction in coe cient of performance. Thisrnresearch shows improvement by altering airfoil type, chord and twist value.rnThe optimum blade which have lowest starting time and better power performancernwas manufactured from Australian timber by Computer numerical control machine andrnexperimental testing was conducted. In order to get constant wind speed ow, a controlledrnmoving vehicle was used for the experimentation process. The starting time and coe cientrnof performance of the blade from the software were 8.63sec and 0.335, while the experimentalrnresult gives 9sec and 0.3228. This shows there is a 3.61% and 4.2% error while testing in Cprnand starting time respectively. Value of errors comes from rst the generator, since it needsrnto be excited it makes some delay on recording some seconds as it starts generating electricity.Beside to excitation the generator is used and maintained repeatedly, this makes it to dornnot perform as it is rst manufactured. There is also some manufacturing and assemblingrndi culties while making parts and assembling the wind turbine which add some contributionrnon the performance of blade under experimental testing. Finally the manufactured windrnturbine produce 19.4W electrical power at 5 mrnsec which is the frequent available wind speedrnin low wind speed region(2).