A decision-guided advisor to maximize ROI in Local Generation & utility contracts

Many industrialized as well as developing nations are moving towards the use of efficient renewable energy, a trend that will benefit the consumers, the energy producers and, consequently, the environment. As governments, energy companies and consumers debate the environmental impact of using renewable energy, they also study the economic impact and Return On Investment (ROI) of switching from the current energy use models to a new model. In this paper, we introduce a new optimization method for investment analysis and operational efficiency for Energy Management Systems (EMS) using Decision Guidance Query Language (DGQL). Investment analysis and optimization is achieved by finding the Return on Investment (ROI) for power generators, and operational optimization is achieved by finding the optimal power shedding and curtailment as a method to control peak energy demand. We are using energy usage data from George Mason University EMS in our implementation.