sensitivity analysis

An approach has previously been developed to estimate space-specific carbon dioxide (CO2) levels that can serve as metrics for the adequacy of outdoor ventilation rates. These metrics are based on the CO2 concentration expected in a space given its intended or expected ventilation rate, volume, and occupant information (i.e., the number of occupants, their CO2 generation rates, and duration of occupancy).

As policy makers strive to reduce the energy demands of houses by reducing infiltration rates, an unintended consequence could be a fall in the quality of indoor air with corresponding negative health effects at a population scale. Measuring pollutant concentrations in-situ is difficult, expensive, invasive, and time consuming and so the simulation of indoor conditions, using representative models of a housing stock, is a more common method of investigation.

According to the 2016 Household Projections report, England’s housing stock could reach 28 million households by 2039 with approximately one fifth being new constructions. A significant proportion of these newly built dwellings may face a high risk of overheating as a result of the combined effects of climate change and more stringent building thermal efficiency standards, if not appropriately designed.

Higher insulation and air tightness levels of buildings, increase the risk on overheating. Ventilative cooling as passive technique can limit overheating and decrease cooling energy consumption. The national energy performance regulations (EPBD) determine whether, how and under which requirements ventilative cooling can assist to reduce cooling demand and overheating. Therefore, those regulations are a key factor in the market uptake of ventilative cooling. Without a realistic and achievable approach, ventilative cooling will marginally be applied in buildings.

Central to this study is the significance of making adaptation decisions whose success in achieving resilience to indoor overheating, remain effective both in the short term and long term future. This is in the context of climate change and the varying ranges of uncertain trajectories that may happen during a building’s service life in a developing country (Kenya). The study takes a quantified approach to guiding adaptation decisions by using a methodology that allows appraisal of different design options for an extended timescale (1990 to 2100).

This paper describes a regression analysis performed over parameters related to two commercial building types and three weather files of Brazilian cities. A random sampling technique was applied to reduce the number of simulation runs needed in the parametric analysis. Equations to estimate the electric energy consumption as a function of building parameters were obtained.

This paper describes the use of transient building performance simulation in order to develop design guidelines for educational buildings in Turkiye. The premise of the work is that design decisions taken during early stages of the building process have a large impact on the performance of the resulting building and hence need solid underpinning. Yet straightforward application of building performance in these early stages has proven to be difficult.

Over the last three decades the use of building performance simulation (BPS) tools has increased but its ability to support building design is still limited. State of the art BPS tools have the potential to be used more extensively during the entire design process if their current capabilities are expanded.

Nowadays, building performance simulation (BPS) is still primarily used for code compliance checking in the Netherlands whilst it could provide the user already useful design information by e.g. indicating design solutions or introducing uncertainty analysis (UA) and sensitivity analysis (SA). This paper summarizes results from an ongoing research introducing UA and SA in BPS. A case study is performed based on a hypothetical building which is part of an international test method for assessing the accuracy of BPS tools with respect to various building performance parameters.

The objective of the study is to analyze the relative performance of factors affecting indoor air quality in multi-residential buildings in Korea. A study of the factors affecting indoor air quality is essential for establishing indoor air quality management strategies effectively. To observe the indoor air quality response following a modification of a given parameter sensitivity analysis was performed. The factors examined for the analysis include; wall+ceiling paper, adhesive for wall/ceiling paper, floor material, adhesive for floor material, and ventilation rate.