  In this paper we show that the rate of convergence of Wong-Zakai
approximations for stochastic partial differential equations driven by Wiener
processes is essentially the same as the rate of convergence of the driving
processes W_n approximating the Wiener process, provided the area processes of
W_n also converge to those of W with that rate. We consider non-degenerate and
also degenerate stochastic PDEs with time dependent coefficients.
