AIVC - Air Infiltration and Ventilation Centre

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residential building

Comparison of experimental methodologies to estimate the air infiltration rate in a residential case study for calibration purposes

The air renovation of a building should be controlled in order to ensure a proper level of indoor air quality while minimize heat losses. It is a crucial point for the future energy efficiency goals. However, air infiltration rate in buildings is a complex parameter which is influenced by several boundary conditions. Although a detailed dynamic analysis could be used to properly characterize the phenomenon, estimated values can be obtained from experimental methods, as Blower Door test and gas concentration-based approaches.

Indoor particle concentration related to occupant behavior of Korean residential buildings

In recent years, PM, which is one of the most important indoor air pollutants, has attracted a great deal of attention. PM is mainly generated by occupant activities. In particular, cooking and smoking are occupant activities that have the greatest effect on the indoor PM concentrations. The objective of this study is to analyse indoior PM concentration and occupant behavior of Korean residential buildings. PM concentration increased rapidly in a short time during the cooking process.

Automated window opening control system to address thermal discomfort risk in energy renovated dwellings. Summertime assessment

Major and deep energy renovations of single-family houses (more than 60% of the building stock) are expected in Europe over the next several years (Psomas et al., 2016a). A number of research projects have documented and verified overheating risk during the design and operation phase in nearly zero energy or existing renovated single-family houses without mechanical cooling systems in temperate climates. Post occupancy surveys and comfort studies have also monitored high indoor temperatures over 27oC and 28oC even in Northern countries (Psomas et al., 2016a).

Using building performance simulation to save residential space heating energy: A pilot testing

This paper describes a pilot study testing the applicability of using building performance simulation (BPS) to quantify the impact of 28 energy saving behaviour changes on the residential space heating demand, based on a mid-terraced house located in the southwest of England. The 28 behaviour change options were collected based on a combination of literature review and expert knowledge. DesignBuilder V3.2, whose thermal dynamic simulation engine is Energyplus 7.2, was used to predict the impact of each behaviour change option on the space heating demand of the case study house.

Analysis of life cycle energy consumption and environmental load of insulation design for residential buildings in China

Increasing insulation thickness may reduce the energy consumption and environmental load in building operation phase, but may also increase those in insulation production phase. Therefore, the life cycle energy consumption and environmental load of insulation design for a typical residential building were analyzed in this paper. Cases in four typical cities -Harbin, Beijing, Shanghai and Guangzhou- in four different climate zones in China were compared.

Total utility demand prediction based on probabilistically generated behavioral schedules of actural inhabitants

This paper describes a new methodology in calculating accurately the time series utility loads (energy, power, city water, hot water, etc.) in a dwelling. This calculation takes into account the behavioral variations of the dwelling inhabitants. The proposed method contains a procedure for cooling load calculations based on a series of Monte Carlo simulations where the HVAC on/off state and the indoor heat generation schedules are varied, time-step by time-step.

Sensor-based information modeling for life cycle commissioning of residential buildings

According to the National Institute of Building Science (2006), one of the main goals of building commissioning is to “maintain facility performance across its life cycle”. In recent years, the maturing of sensing technology has helped to advance this vision through sensor-assisted building commissioning.

Validation of the Probabilistic Methodology to Generate Actual Inhabitants’ Behavior Schedules for Accurate Prediction of Maximum Energy Requirement

A data set of myriad and time-varying inhabitant-behavior schedules with a 15-minute time resolution, generated by the authors in a previous study, is validated through a comparison analysis. We show three comparisons. The first and second compare the estimated demand with a time series of actual utility demand. The comparisons indicate that the generated data and its algorithm, described by the authors, have an appropriate robustness.

Prediction of Energy Efficiency and Thermal Environment of Residential Buildings Utilizing PEFC-CGS Combined Floor Heating System

The systematic numerical simulation program is developed to calculate the total energy efficiency of housing polymer electrolyte fuel cell co-generation system (PEFC-CGS) which is combined with hot water floor heating (HWFH). This simulation program can also predict actual building physics of heat transfer such as mutual radiant heat among interior surfaces and thermal strage relating with piping pitch of hot water and so on. The indoor temperature can be controlled by PMV (Predicted Mean Vote) to take account of thermal sensing affected radiant heat.

Air Leakage Tests for the requirements of the LEED in two high-rise residential buildings

Air leakage test was carried out according to ASTM E779-03, Standard Test Method for Determining Air Leakage Rate by Fan Pressurization to meet the requirements of the LEED-NC v2.2(EQp2). Air leakage tests for quality assurance can be performed once all work on the air barrier has been completed and all windows and doors have been installed in two high-rise residential buildings. Test units selection was carried out in accordance with the following guidance, California’s 2001 Energy Efficiency Standards.