Solving PyPSA model with Gurobi in Google Colab - License/Environment problem - optimization

Question

I am trying to solve an optimization problem with PyPSA in Google Colab using Gurobi as solver, which normally works fine on my local computer (but takes too much time). When I try to run this in Google Colab I always get the error of the size-limited license, although I have the correct non-size-limited academic license.
Before trying to run this in Google Colab I followed the steps indicated in the post "Google Colab: Installation and Licensing" (Gurobi) and created an environment to solve my model using the license:
e = gp.Env(empty=True)
e.setParam('WLSACCESSID', 'your wls accessid (string)')
e.setParam('WLSSECRET', 'your wls secret (string)')
e.setParam('LICENSEID', <your license id (integer)>)
e.start()
The problem is that the model to be optimized is inside PyPSA and must not be created by myself with a line like:
model = gp.Model(env=e)
as indicated in the aforementioned post.
So what I need is to find out how to make the PyPSA model run in the correct environment.
I am using this dictionary to specify some parameters for the Gurobi Solver when running the optimization:
solver_options = {'Crossover':0,
'Method' :2,
'BarHomogeneous' :1
}
network.lopf(snapshots = network.snapshots, pyomo = False, solver_name = 'gurobi',
solver_options=solver_options,
extra_functionality = extra_functionalities)
How can I make the PyPSA optimization problem run in the correct environment?
Thank you in advance for your help.
Regards,
Sebastian