Impact assessment of an energy management system on environmental pollution and economic performance

This paper proposes a fast and simple algorithm to assess the impact of an energy management system on the environmental and economic performance of a production process. The proposed technique is based on correlations among a set of energy drivers, uses quadratic regression methods and variance analysis. Modeling and parameter extrapolation, factors variability, multi-variable statistics and mean square error are used in order to derive a simple functional relationship between a set of state variables, allowing thus to obtain advanced solutions. Finally, the described mathematical models are implemented in software that is applied to the case study of a food products company. Results indicate the future research directions as well. It is worth notice that the proposed method is not restricted to energy management problems but can also be applied to many other engineering management systems.