Thermal variables estimation by a metaheuristic-based method: Cases of New Zealand

Abstract

In this study, a metaheuristic-based method, called Balanced Water Strider Optimization Algorithm (BWSOA), is presented to predict the thermal variables of a building. The measurement of these variables is not easy and the determination of them by features of materials is difficult. Also, it depends on the building type and the structure of the building The variable prediction problem is calculated as a single-objective optimization problem and the DesignBuilder™ is utilized to design the thermal model, which is a black-box here. The simulated and practical energy usage data of the building is utilized to show the operation of the suggested model by employing the model to two various geographical conditions placed in New Zealand. The algorithm performance is more showed by assuming simulated energy usage data; made after subjecting the thermal model of the building to a simulated geographical environment of another city (Tauranga); with the considerable various weather condition in comparison to that of Wellington. The obtained results stated that the suggested method can estimate these variables efficiently. Moreover, this approach can be efficient to develop energy management systems for the building.

Keywords

• Smart building
• Energy Management Systems (EMS)
• Thermal modeling
• DesignBuilder™
• Balanced Water Strider Optimization Algorithm (BWSOA)
• MLE+