In the paper, we describe pre-processing methods based on the actual power consumption data of a comprehensive university. Data obtained from buildings is huge and its measurement items are diverse. Those obtained from buildings are expected to be used in the advanced data science field in the future.
本研究では、我が国の住宅のエネルギー消費量の過半数を占める暖房・給湯用途の負荷削減を目的とし屋根面の太陽エネルギーを発電だけでなく集熱にも利用するPhotovoltaic and thermal(以下,PVT)パネルを用いたPVT活用型屋根空気集熱式ソーラーシステム(以下、本システム)を対象とした。戸建住宅に本システムを導入する場合の快適性および暖房・給湯負荷削減効果について把握するため、省エネルギー基準における地域区分6地域を対象に街区密度・太陽エネルギー利用形態に着目した検討をおこなった。
The performance was examined about the apparatus that dehumidified the steam included in compressed air by using the closed-circuit evaporative cooling tower. The steam included in compressed air is condensed easily, because the pressure rises. In general,we dehumidify the compressed air with a dehumidifier of the adsorption type or the freezer type. In this sturdy, we examined the performance of the apparatus that cools and dehumidifies directly by using the closed-circuit evaporative cooling tower.
This paper describes calculation procedure of the solar declination and the equation of time which are fundamental data for building/equipment/component energy calculation and design. In this paper, calculation procedure of the modified method is explained concisely and its calculation accuracy is discussed.
Field survey on thermal environment and questionnaire survey were conducted over three seasons at three train stations, and thermal comfort was quantitatively evaluated. Moreover, usage patterns and passengers' attitude towards the station environment were investigated in order to comprehensively identify the thermal environment required for train stations. Environmental control of the entire station by air-conditioning would not be energy efficient due to its open structure, and task-ambient air-conditioning strategy is proposed.
The microbial contamination in the ventilation system and the indoor air quality were evaluated in the underground shopping mall, Sapporo. The energy consumption of the shopping mall was investigated for five years from 2010 to 2014. Airborne microbial contaminations in the shopping mall were measured during summer and winter on weekdays and weekend-days. Species of the airborne bacteria was identified by the 16S rDNA sequence analysis.