Offshore wind climate along the coast of Kanto area was investigated by a mesoscale model and wind energy potential considering economical and social criteria was estimated by Geographical Information System (GIS). The prediction accuracy of the annual mean wind speed by the mesoscale model was 4.8%. The estimated wind climate shows that offshore Choshi, the annual mean wind speed is significantly higher than other area. Without considering any economical or social criteria, the total potential along the coast of Kanto area is 287TWh/year, which is almost equal to the annual supply of Tokyo Electric Power Company. If only the bottom mounted foundation is used, the potential varies from 0.21TWh/year to 7.98TWh/year depending on the scenario. On the other hand, when floating foundation is taken into consideration, the potential is 100.59TWh/year even for the most conservative scenario.
Setting eyes of people isn't always necessarily on visual cues, in actual buildings. It is necessary to examine the influence of visual cues on motion perception etc., in consideration of temporal length of setting eyes on visual cues. For this purpose, parameters that are directly necessary to estimate a probability of visual motion perception, like length of setting eyes on visual cues, distance between subjects and visual cues etc., are measured in existing buildings. And statistical analysis of the data is done. It was found that length of setting eyes on visual cues is about 7.0s in average, regardless of subjects' age, sex and buildings. Distance between subjects and visual cues is about 2.4m in average.
Many strategies and methodologies toward the reduction of environmental and energy loads have been developed, and they are under trials in various industries. In this study, a co-generation device is proposed aiming at reducing the energy loads of highway tunnel facilities. The device generates electricity through the flat-panel vibration caused by the aerodynamic forces due to the wind fluctuations of which the vehicles passing in front of the device induce. The characteristics of the vehicle-induced wind fluctuations and the wind-response characteristics of the device are investigated with field measurements.