This paper presents a computational approach to designing airborne wind energy (AWE) systems considering fluctuating electricity prices. It combines analytical models, wind resource characterisation, and cost estimation. Real-life data is used to compare system performance using economic metrics. The proposed metric, LPoE, balances cost and value in system design.