This paper aims to clarify the effects of extreme weather conditions on the space thermal comfort and energy consumption, which depend on the thermal characteristics of buildings and HVAC systems. Various types of extreme weather days that occur in Tokyo were picked from Expanded AMeDAS weather data for the period 1981 to 1995. Computer simulations were performed for office spaces, using 15-year Tokyo weather data to obtain the hourly changes in the PMV and the load on each of the components in a HVACsystem. The type of extreme weather day that created severe conditions from the standpoint of thermal comfort and equipment load was clarified.

This paper discusses estimatj ． on methods of steady state and unsteady state heat output in hot water fユoor heatlng systems ・ It beco皿es clear that Kollmar − Liese ' s meth6d vhich has been popu ユ ar 王 y used ， underestimates steady state heat transfer rate fro田 the fユoDr ． The authors propose a 1】 ew simple estimation method by applying DOE(Design of Experi 皿 ents) method ． On the other hand， there has been no simple estimation method for unsteady state two − dimensional heat transfer in floor heating systems ． In this paper ， precise respQnses of heat transfered frQm the fユoor obtained by two − dimensiona1 ． calculations are analyzed and classified ， and represen し ative responses are expressed by exponential polynomia ユ aPproximatio 【 ｝ ． Keywords：hot water fユoor heating system ， simp ユ ified estimation method ， DOE， steady sta し e heat output ， step response of heat output

Expanded AMeDAS (Automated Meteorological Data Acquisition System) design weather data were developed for various locations in Japan. They were produced by selecting the extreme-weather days from Expanded AMeDAS Weather Data using two weather indices. The present paper examined the extremity of the proposed design weather data and the availability for HVAC system design. The cumulative frequencies of occurrence for several daily values of the design weather data and the probability of the thermal load exceeding the design peak load calculated using the design weather data were used for the examination and evaluation. The validity of the proposed design weather data was confi rmed through the examination.

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