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A methodology for predicting solar power incidence on airfoils and their optimization for solar-powered airplanes

机译:预测翼型太阳能入射的方法及其对太阳能飞机的优化

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In recent years, there has been great deal of interest in exploration of alternative fuels other than jet fuel for aircraft propulsion in order to reduce the greenhouse gas emissions. For commercial transport as well as military aircraft, there has been a great deal of emphasis on biofuels, which behave like drop-in fuel but generate less CO2 and NOx emissions and, therefore, are more environmentally friendly. However, for small unmanned air vehicle or low-speed personal transportation aircraft, there have been many attempts towards building an all-electric or solar airplane whose wings could possibly be covered with photovoltaic panels to harness sun's energy for propulsion. Most notably, the success of solar impulse has attracted the attention of general public as well as small aircraft enthusiasts. The focus of this paper is on the airfoil/wing design for optimal utilization of solar energy for powering a solar airplane. We analyze the incidence of solar radiation over an airfoil/wing of an airplane. We show that, under some conditions, the incidence is independent of the shape of the airfoil. We develop a more complete model to compute the total solar radiation incident on the airfoil during a cruise flight using the solar tracking equations and geodesy for path creation. The model is based on discretization of both the airfoil and the path. To illustrate the versatility of the model, we employ a genetic algorithm with migration to optimize the airfoil shape during some specific given flight conditions and discuss the results.
机译:近年来,为了减少温室气体排放,对用于飞机推进器的喷气燃料以外的替代燃料的研究引起了极大兴趣。对于商业运输以及军用飞机,生物燃料已经得到了很大的重视,其表现像直接燃料,但产生的CO2和NOx排放量更少,因此对环境更加友好。然而,对于小型无人飞行器或低速个人运输飞机,已经进行了许多尝试来建造全电动或太阳能飞机,其机翼可能被光伏板覆盖以利用太阳的能量进行推进。最值得注意的是,太阳脉冲的成功吸引了公众以及小型飞机爱好者的关注。本文的重点是机翼/机翼设计,以优化利用太阳能为太阳能飞机提供动力。我们分析了飞机机翼/机翼上太阳辐射的发生率。我们表明,在某些情况下,发病率与机翼的形状无关。我们开发了一个更完整的模型,使用太阳跟踪方程和大地测量学来计算路径,从而计算出巡航飞行期间入射在机翼上的总太阳辐射。该模型基于翼型和路径的离散化。为了说明该模型的多功能性,我们采用带有遗传算法的遗传算法在某些特定的给定飞行条件下优化机翼形状,并讨论了结果。

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