temperature

A matched pair of identical mobile homes, one supplied with electric heating and cooking utilities and the other with propane gas utilities, were used to evaluate, over a 14-month period, various factors which may affect indoor formaldehyde c

Treats the causes of deterioration in buildings, thermal bridges, the indoor climate, data for the design and execution of buildings and living conditions in rooms. Section headings are The formation of moulds, Humidity in buildings, The temperature factor, tau, as a criterion of the thermal quality of thestructural elements, Conditions of occupation of buildings, Thermal bridges, Natural ventilation of buildings, Conclusions, Advice.

Describes measurements made in a real factory building and comparisons with the scale model tests presented in the previous report. The ventilation system of the factory building is a mechanical one with the necessary rate of ventilation designed to be less than that calculated by the conventional method. The parameters studied included air velocities measured with hotwire anemometers at the inlet openings and the temperatures in the work hall itself measured from a crane.

Describes a model that predicts air infiltration from both wind and temperature influence to within 20%. Compares the predicted value and measured infiltration from a full-scale test structure, revealing an average discrepancy of less than 10 m3/hr (out of an average of approx 150 m3/hr). Presents direct measurements of the wind velocity and pressure coefficients induced by the wind on the full-scale test structure.

Discusses the importance of local wind and temperature conditions and their effect on the air change rate between a building and its environment. Provides a descriptive model of air change rates and a building's microclimate. Describes methods which illustrate average wind velocity and effect of height and characterises wind spectra and turbulence intensity caused by velocity fluctuations. Discusses mechanisms which affect air change rates and climate comfort and gives an analysis of a simple model for random air leakage. Lists important and urgent research requirements.

Describes an analytical model for the prediction of ventilation rates and internal temperatures as influenced by the combined effects of heat dissipation inside industrial buildings and natural wind action. Applies this to a two span low building equipped with a natural ventilation system. Results emphasize the relative importance of thermal and dynamic variables including wind incidence, terrain roughness, and the role of the opening in the internal partition wall.

Presents an analytical model for the prediction of ventilation rates, internal pressures and temperatures as influenced by the combined effects of heat dissipation inside industrial buildings and natural wind action. The model inputs are external pressure distribution, pressure drop coefficients of theopenings and thermal conductance of the walls and roof assumed to be knownfrom experimental data. A simple example is worked out. It consists of a two span long building, equipped with a natural ventilation system and divided into two internal spaces differently heated.

States that although the conditions for a comfortable climate are well known - especially temperature and air humidity - increased concern with energy conservation means it is important to discover what effect energy conserving measures have on the health,well-being and efficiency of people. Pressing questions are - how far can room temperature be lowered without affecting comfort and how is room air quality affected by a lower air change rate or a reduced fresh air supply. Summarises recommended room temperatures for various levels of activity.

Measures air change rates in a 2-storey detached house with operation of various types of mechanical fresh air ventilation systems. Studies 4 systems, including 2 balanced systems and 2 exhaust-only systems. The forced ventilation rate is controlled at 0.15, 0.25, 0.4, or 0.5 ach. Develops expressions for the test house relating the house air change rate under winter conditions to the forced ventilation rate and the infiltration rate due to wind and temperature difference.

Describes a test method for determining the overall heat loss coefficient of a house. Bases method on the statistical correlation of measured heat consumption with outdoor weather data. Derives a regression equation from the heat balance giving the relation between indoor air temperature, internal heat production and the outdoor weather data. Continuously monitors the power consumption (from electrical heaters) in an unoccupied house, together with indoor air temperatures and outdoor weather data, as solar radiation, outdoor air temperature and wind velocity.