Study on the building zoning of regional energy planning based on a dynamic programming theory

Abstract

Building zoning is crucial for regional energy planning. Appropriate building zoning can effectively optimize the peak load, daily load rate and load standard deviation of buildings. However, a clear quantitative standard for building zoning is currently lacking, and zoning methods based on minimum distance or load fluctuation are often employed, which often fail to achieve optimal zoning and energy-saving effects. To clarify building zoning in regional energy planning, this study proposes a dynamic programming approach and employs the analytic hierarchy process (AHP) to improve the zoning method. This is achieved by using the daily load rate, load standard deviation and building distance of each building group as the criterion layer, and assigns each peripheral building group to the appropriate building group. Taking a university campus as an example, this method reduces the peak heating load of 6136.61 kW and the peak cooling load of 15507.88 kW. The standard deviation of heating and cooling load of the building group has been reduced by 1272.53 kW and 2352.54 kW, respectively. Furthermore, the daily load rate of the building has been stabilized, and the staggered peak has been adjusted, resulting in a more uniform distribution frequency of the building load.

Keywords

• Regional energy planning
• Building zoning
• Dynamic programming method
• Analytic hierarchy process
• Load partition
• Energy station location