Importance

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Abstract

A method is disclosed for marketing energy-use optimization and retrofit services and devices. The first step in the present method is to measure empirical (base-line) performance including energy use and efficiency. A best-fit curve is generated and defined by at least a third-degree polynomial. Second, the theoretical performance of the system is calculated based upon the theoretical implementation and installation of proposed strategies and devices (the 'Proposa'). Third, the projected savings are presented to the client and a fee structure is established based, at least in part, on energy savings resulting from implementation of the Proposal. Fourth, the actual performance of the completed implementation of the Proposal is measured. Fifth, post-implementation measured energy use is compared with pre-implementation energy use at specific pre-determined 'part load' levels. The polynomial defining pre-implementation energy use at specific part load levels is applied to post-implementation measured values to eliminate extraneous factors such as weather. Sixth, the client is billed according to the fee structure. The fee structure may be linear or may increase per unit of energy saved as savings approach or exceed the theoretical maximum. The present invention may be used for marketing energy-saving retrofit systems and strategies, as well as alternate energy installations.

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First Claim