Data centers have a considerable environmental footprint, mainly arising from their electricity consumption. Co-locating data centers with renewable energy sources al- lows reducing this footprint, but comes with the challenge of production intermittency. Users of data centers could adopt “digital sufficiency” behaviors and adjust their use of these infrastructures when renewable production is low, by adapting their job submissions. In this work, we investigate how effort from users can help to minimize energy consumption in critical periods. We study five behaviors, namely renouncing the submission, degrading it spatially or temporally, reconfiguring it and postponing it to later. These behaviors are combined with a three-state feedback mechanism to provide simple information on the status of renewable production. We propose a validation of our method through a reproducible experimental campaign with a state-of- the-art simulator. We show, for example, that if users accept to apply the above behaviors on 50% of their job submissions at periods of low production, brown energy consumption can be reduced by 8%. Energy savings are linear in the size of the effort made by users. To the best of our knowledge, this is the first time all these user levers are combined in a context of renewable-energy powered data center. Future works could focus on refining the user model, introducing states and behaviors of anticipation before a drop in production and investigating the willingness of real users to adopt the behaviors.