Comparing Methodology of Building Energy Analysis : Comparative Analysis from steady-state simulation to data-driven Analysis

Abstract

A B S T R A C T K E Y W O R DPurpose: Because of the growing concern over fossil fuel use and increasing demand for greenhouse gas emission reduction since the 1990s, the building energy analysis field has produced various types of methods, which are being applied more often and broadly than ever. A lot of research products have been actively proposed in the area of the building energy simulation for over 50 years around the world. However, in the last 20 years, there have been only a few research cases where the trend of building energy analysis is examined, estimated or compared. This research aims to investigate a trend of the building energy analysis by focusing on methodology and characteristics of each method. Method: The research papers addressing the building energy analysis are classified into two types of method: engineering analysis and algorithm estimation. Especially, EPG(Energy Performance Gap), which is the limit both for the existing engineering method and the single algorithm-based estimation method, results from comparing data of two different levels-in other words, real time data and simulation data. Result: When one or more ensemble algorithms are used, more accurate estimations of energy consumption and performance are produced, and thereby improving the problem of energy performance gap.

Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback

“…It can evaluate realistic system controls, radiant heating, and cooling systems, but a lot of information is required for high-accuracy calculations and it is not easy for nonprofessionals to handle [33,34]. Table 3 shows the contrast of building-energy simulation tools pursuant to Crawley et al, which is the primary method used [32,35]. and used as a simulation tool for assessing the energy efficiency rating of buildings.…”

Investigating Primary Factors Affecting Electricity Consumption in Non-Residential Buildings Using a Data-Driven Approach

“…An issue arising from such dynamic simulation is that the succession of estimates obtained from calculation formulas can cause an increasing discrepancy between the estimated and actual values of energy consumption, saving, and efficiency. This limitation has been pointed out in earlier studies [8]. Another drawback is that the reliability of the results of dynamic simulation depends on the skill of the expert who performs the simulation.…”