Heat Resource Allocation Algorithm for Client-Driven Air Conditioning in Building Energy Management

—Formulation by 0-1 Integer Programming—

Abstract

A critical issue for building air conditioning is shifting and cutting peaks in electricity demand. Appropriate measures should consider not only the heat resource supplier side but also the user side. Demand and peak cut are controlled from the supplier side. This study is focused on the user side because conformity and energy conservation should also be pursued at the same time. This paper proposes a user-driven heat resource allocation method for client-server building air conditioning systems. Each client represents a room or residential area that requires heat resources. The server is the heat resource supplier. The heat resource allocation problem model was formulated as server-client architecture and solved as a 0-1 integer programming problem. The proposed method enabled the peak heat resource use of each room to be shifted while maintaining the residential environment. The effectiveness of this method was proven through simulation.