Decision Support System for Energy Savings and Emissions Trading in Industrial Scenarios
This chapter 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: 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 support for process reconfiguration and Emission Trading System (ETS) (implemented through the use of multi-criteria decision analysis using MACBETH). The chapter illustrates a categorization approach using main criteria involved in the process and associated algorithms. Moreover the approaches proposed were successfully tested in industrial environment and the results obtained are here presented.
KeywordsDecision Support Energy savings Industrial test cases
Authors express their acknowledgement to the consortium of LifeSaver project, Context sensitive monitoring of energy consumption to support energy savings and emissions trading in industry [http://www.lifesaver-fp7.eu] funded under the 7th Research FP of the European Union (contract FP7-ICT-7-287652).
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