The signal is clearly periodic with period $T=1$. Consequently, its energy is infinite, but we can compute its power:
$$P_x=\frac{1}{T}\int_T\big|x(t)\big|^2dt=\int_{0}^{1}\left[\sum_{n=-\infty}^{\infty}e^{-|t-n|}\right]^2dt\tag{1}$$
For $t\in [0,1]$ we can write
$$|t-n|=\begin{cases}n-t,&n>0\\t,&n=0\\t-n,&n<0\end{cases}\tag{2}$$
So we have
$$\begin{align}\sum_{n=-\infty}^{\infty}e^{-|t-n|}&=\sum_{n=1}^{\infty}e^{t-n}+\sum_{n=-\infty}^{-1}e^{n-t}+e^{-t}\\&=\left(e^t+e^{-t}\right)\sum_{n=1}^{\infty}e^{-n}+e^{-t}\\&=\frac{e^t+e^{-t}}{e-1}+e^{-t},\qquad 0\le t\le 1\tag{3}\end{align}$$
Using $(3)$ we can compute $P_x$ by solving an elementary integral:
$$P_x=\int_0^1\left[\frac{e^t+e^{-t}}{e-1}+e^{-t}\right]^2dt\approx 4.0053\tag{4}$$
We can cross-check our result by using another way to compute $P_x$. From Parseval's identity for Fourier series we know that
$$P_x=\sum_{k=-\infty}^{\infty}|c_k|^2\tag{5}$$
where $c_k$ are the complex Fourier coefficients of $x(t)$. Using Poisson's sum formula we get
$$\sum_{n=-\infty}^{\infty}g(t-nT)=\frac{1}{T}\sum_{k=-\infty}^{\infty}G\left(\frac{2\pi k}{T}\right)e^{j2\pi kt/T}\tag{6}$$
where $G(\omega)$ is the Fourier transform of $g(t)$. In our example we have $g(t)=e^{-|t|}$ and $T=1$. We also have
$$G(\omega)=\mathcal{F}\big\{e^{-|t|}\big\}=\frac{2}{1+\omega^2}\tag{7}$$
Consequently, the Fourier coefficients of $x(t)$ are
$$c_k=G(2\pi k)=\frac{2}{1+(2\pi k)^2}\tag{8}$$
And from $(5)$ we obtain
$$P_x=4\sum_{k=-\infty}^{\infty}\frac{1}{\big[1+(2\pi k)^2\big]^2}=4+8\sum_{k=1}^{\infty}\frac{1}{\big[1+(2\pi k)^2\big]^2}\approx 4.0053\tag{9}$$
which matches with the result $(4)$. Note that the sum in $(9)$ can be computed quite accurately with only a few terms because the values in the sum decay very fast with increasing $k$.