Method and device for predicting energy reduction

Abstract

The energy reduction amount prediction method and device of the present invention provide a technique for predicting energy reduction amount with higher prediction accuracy without performing energy reduction operation in advance. When the energy reduction operation is implemented for the first time, the confidence of the building manager side is improved. The provisional reduction amount calculation unit (17A) calculates the provisional reduction amount (EP) obtained when switching from the normal operation to the energy reduction operation based on the simulation model, and the adjustment coefficient calculation unit (17B) calculates the provisional reduction amount (EP) based on the normal operation. The adjustment coefficient (α) is calculated by comparing the energy demand calculated by the simulation model and the data model, and the predicted reduction amount calculation unit (17C) adjusts the provisional reduction amount (EP) by using the adjustment coefficient (α), and calculates Predicted reduction (E) obtained when the operation is switched to energy reduction operation.

Description

technical field [0001] The present invention relates to an energy reduction amount prediction technique for predicting an energy reduction amount reduced by an energy reduction operation performed by a facility on a customer side. Background technique [0002] In Japan, the whole country is worried about power shortage, and not only energy supply-side efforts are important, but demand-side energy reduction efforts are also increasing in importance. In particular, attention has been paid to the constitution of demand response (DR: Demand Response), which cuts energy only when necessary due to tight supply and demand, in addition to energy-saving efforts that have been promoted so far. [0003] On the side of consumers who consume energy such as electric energy, gas, heat, etc., for their own equipment, each time they implement energy reduction operations such as DR, they need to properly evaluate the reduction effect of energy reduction operations to determine the implementat...

AI Technical Summary

Problems solved by technology

Therefore, there is a problem that the first forecast value of energy reduction operation implementation cannot be presented based on a data model generated from historical data obtained in the past, and it is difficult to obtain a consensus between building managers and reduction operation service providers that the state of non-execution of energy reduction operation continues. That is, in principle, it is impossible to reduce the operation

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