This paper proposes a decision support approach for energy savings and emissions trading based on the requirements collected through a set of industrial users. These requirements served as guideline for identification of needs that should be addressed with respect to the decision support approach, constituting a fundamental step for future platform development. The decision support approach proposes two different perspectives: (i) support for immediate reaction: based on the paradigm of intelligent decision support implemented through the use of Case-based Reasoning together with probabilistic analysis; and (ii) support for process reconfiguration and Emission Trading System (ETS) is implemented through the use of multi-criteria decision analysis using MACBETH. The paper proposes categorization of approaches and main criteria involved in the process.