We present closed-form lower bounds for the price of arithmetic average Asian options under geometric Brownian motion. Lower bounds are found by conditioning on multiple normal variables, each of which is a weighted sum of Brownian motions. Numerical results show that our lower bounds are close to Monte Carlo prices and improve single conditioning methods especially for high volatility and long maturity.