  Random walks in random sceneries (RWRS) are simple examples of stochastic
processes in disordered media. They were introduced at the end of the 70's by
Kesten-Spitzer and Borodin, motivated by the construction of new self-similar
processes with stationary increments. Two sources of randomness enter in their
definition: a random field $\xi = (\xi_x)_{x \in \Z^d}$ of i.i.d.\ random
variables, which is called the \emph{random scenery}, and a random walk $S =
(S_n)_{n \in \N}$ evolving in $\Z^d$, independent from the scenery. The RWRS $Z
= (Z_n)_{n \in \N}$ is then defined as the accumulated scenery along the
trajectory of the random walk, i.e., $Z_n := \sum_{k=1}^n \xi_{S_k}$. The law
of $Z$ under the joint law of $\xi$ and $S$ is called "annealed", and the
conditional law given $\xi$ is called "quenched". Recently, central limit
theorems under the quenched law were proved for $Z$ by the first two authors
for a class of transient random walks including walks with finite variance in
dimension $d \ge 3$. In this paper we extend their results to dimension $d=2$.
