Abstract
Control items and adaptability to hardwares and the effect of them are discussed at first in order to raise the quality of Air-conditioning and air-conditioning system. Among the optimizations applied to Osaka Ohbayashi Building which were described in the former report, outside air intake and environmental analysis, delivered air temperature reset from air-conditioners, and pre-heating and -cooling are handled in this report, which belong to air-conditioning main system in the total structure. Significance, softwares and actual results are shown in each of these. Prediction techniques used in this part are extrapolation, exponential smoothing and learning factor method which were described in Part 1. Penalty function is important to increase rapid conformity, and therefore introduced to each software. The effectiveness and adaptability of optimization to these subsystems are made sure through actual results on environmental indices.
