• No results found

Improving The Air Tightness Of An Early 20th Century House

N/A
N/A
Protected

Academic year: 2020

Share "Improving The Air Tightness Of An Early 20th Century House"

Copied!
10
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig. 1. Photograph of house and floor plan. Front elevation is north facing.
Fig. 3. opening (room 1) and in frame at bottom of stairs (room 2).Image of air blower fan inserted in internal door
TABLE III.  AIR BLOWER TEST INFORMATION
Fig. 6. the chimney dampner open (centre) and closed (right) showing no difference in temperature in the localised area surrounding the fireplace.Fireplace and thermal image of the fireplace with
+4

References

Related documents

Open file protocols decrease integration costs and the use of a flexible data format allows transfer to different computer systems.. The KjelROC data format is open to be read by

While there is admittedly some truth to this interpretation, it is still much too simplistic and one-sided—and for at least two reasons: first, because Bourdieu’s early writings

Until 2012, the School of Architecture and Planning’s Timber Technology seminar course at the University of Auckland had focused each semester on the construction of

Different configurations of hybrid model combining wavelet analysis and artificial neural network for time series forecasting of monthly precipitation have been developed and

Sunday, April 24 Last day of spring session two Sunday instructional programs; Summer Adapted Recreational Sports and Learn-to-Swim online registration opens.. Monday, April 25

PUBLIC ENTITY CRIME - A person or affiliate who has been placed on the convicted vendor list by the Department of Management Services, State of Florida, may not submit a bid on

Evaluation of a Bacillus direct-fed microbial candidate on digesta viscosity, bacterial translocation, microbiota composition and bone mineralisation in broiler chickens fed on

This study built a comprehensive BA time series (1982–2015) for the Northeastern Siberian boreal region using a Bayesian network algorithm from the LTDR v3 continuation and v4