Helium diffusion, clustering and bubble nucleation and growth is modelled using the finite element method. The existing model from Faney et al. (Model Simul Mater Sci Eng 22:065010, 2018; Nucl Fusion 55:013014, 2015) is implemented with FEniCS and simplified in order to greatly reduce the number of equations. A parametric study is performed to investigate the influence of exposure conditions on helium inventory, bubbles density and size. Temperature is varied from 120 K to 1200 K and the implanted flux of 100 eV He is varied from $$10^{17}\,{\text{m}^{-2}\, \text{s}^{-1}}$$
10
17
m
-
2
s
-
1
to $$5 \times 10^{21}\, {\text{m}^{-2}\, \text{s}^{-1}}$$
5
×
10
21
m
-
2
s
-
1
. Bubble mean size increases as a power law of time whereas the bubble density reaches a maximum. The maximum He content in bubbles was approximately $$4 \times 10^{8}$$
4
×
10
8
He at $$5 \times 10^{21}\,{\text{m}^{-2}\, \text{s}^{-1}}$$
5
×
10
21
m
-
2
s
-
1
. After 1 h of exposure, the helium inventory varies from $$5 \times 10^{16} \,{\text{m}^{-2}}$$
5
×
10
16
m
-
2
at low flux and high temperature to $$10^{25} \,{\text{m}^{-2}}$$
10
25
m
-
2
at high flux and low temperature. The bubbles inventory varies from $$5 \times 10^{12}$$
5
×
10
12
bubbles m$$^{-2}$$
-
2
to $$2 \times 10^{19}$$
2
×
10
19
bubbles m$$^{-2}$$
-
2
. Comparison with experimental measurements is performed. The bubble density simulated by the model is in quantitative agreement with experiments.