In France, buildings account for a large part of the energy consumption and carbon emissions. Both are mainly due to Heating, Ventilation and Air-Conditioning (HVAC) systems. Because older, oversized or poorly maintained systems may be using more energy and costing more to operate than necessary, new management approaches are needed. In addition, energy efficiency can be improved in central hea...

Building Energy Asset Score (Asset Score), developed by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE), is a tool to help building owners and managers assess the efficiency of a building’s energy-related systems and encourage investment in cost-effective improvements. The Asset Score uses an EnergyPlus model to provide a quick assessment of building ene...

Through monitoring of buildings, it can be proven that the performance of envelope elements and energy supply systems deteriorates with time. The results of this degradation are higher energy consumption and life cycle costs than projected in the building design phase. This paper considers the impacts of this deterioration on the whole building energy performance with the goal of improving the ...

Proper use of daylighting cannot only improve the visual comfort in indoor environment, but also reduce building energy consumption effectively. Studies on this topic have been mostly conducted for office buildings, but were limited for industrial buildings, where lighting is a major electricity consumer. This paper presents a study of daylighting performance in a large space industrial buildin...

This study provides a reference for estimating the building envelope thermal performance at initial stage of design nearly zero-energy buildings in different climate zones. A simplified model heat load prediction, which combines quasi-steady-state balance calculation procedure ISO 52016 and variable-base degree-days method, was proposed. Therefore, energy evaluation tool BPT V1.0 developed. Sub...

Machine learning techniques are widely applied in the field of building energy analysis to provide accurate models. The majority previous studies, however, apply single-output machine algorithms predict use. Single-output models unable concurrently different time scales or various types Therefore, this paper investigates performance multi-output at three (daily, monthly, and annual) using Bayes...

One of the primary factors for generating heating and cooling loads in apartment houses is infiltration. However, evaluation method infiltration rates has not been well established Korea. The existing measures air change per hour a house at 50 Pa (ACH50) divides it by leakage–infiltration ratio, N = 20, as suggested Lawrence Berkeley National Laboratory (LBL). In this study, to evaluate average...

The minimization of life cycle costs for building materials and operational energy consumption of a reference commercial office building model is achieved through the optimization of envelope design parameters by the use of integrated energy simulation and multi-dimensional numerical optimization techniques. The whole-building energy simulation program EnergyPlus v6.0 is coupled with GenOpt v3....

This paper introduces a novel “Autotune” methodology under development for calibrating building energy models (BEM). It is aimed at developing an automated BEM tuning methodology that enables models to reproduce measured data such as utility bills, sub-meter, and/or sensor data accurately and robustly by selecting bestmatch E+ input parameters in a systematic, automated, and repeatable fashion....

An optimum design of Low-cost housing (LCH) offers low-income urban inhabitants great opportunities to obtain a shelter at affordable price and acceptable indoor thermal conditions. In the present study, the design and operation of a low cost dwelling were numerically optimized using simulation-based approach in which a dynamic building simulation program (EnergyPlus) was coupled with the optim...