CO_2デマンド制御を組み込んだ全熱交換型換気システムの開発と実測による省エネルギー性能検証 第2報: 大学研究室を対象とした冬期暖房時の換気負荷削減効果

摘要

本研究では，全熱交換型換気システムにCO_2デマンド制御を組み込むことで導入外気量の最適化とエネルギー回収を同時に達成する換気システムの開発を目指すものである.既報(第1報)では，CO_2デマンド制御法として閾値設定法と連続調整法(リニア制御法)を提案した上で，両者の制御を組み込んだ全熱交換型換気システムの性能を夏期実測調査にて評価した.本報(第2報)では，前報と同一の大学研究室スぺースを対象として，特に冬期暖房条件下において室内に形成される各種物理環境要素(温度，湿度，CO_2濃度)の時間履歴測定結果，換気機器を中心とした電力量の差違等に関する検討結果を報告する.加えて，閾値設定法とリニァ制御法を適用した条件に加えて一定換気量条件を設定することで，冬期暖房条件下でのCO_2デマンド制御の効果を定量的に検証した結果を報告する.%The ventilation load providing outdoor air intake is one of the dominant heating/cooling loads in buildings, and increased ventilation rates play an important role in decreasing the percentage of subjects dissatisfied with IAQ and contribute to an improvement in workplace productivity. In order to optimize the ventilation rate, the application of an energy recovery ventilator(ERV) integrated CO_2 demand controlled algorithm will be an effective measure in indoor environmental design. The overarching objective of this study is to develop an optimized ERV with a CO_2 demand controlled algorithm. Here, the residual lifetime of CO_2 generated at a local point in an office space was measured to discuss and improve the feedback algorithm of CO_2 sensing at a local point and the adjustment of the ventilation rate. In this paper (Part 2 of this research project), we conducted long-term field measurements in a university office space that installed ERVs with CO_2-demand-control systems and reported the results under winter condition. In this study, two types of CO_2DCV algorithms, i.e., multistage CO_2 concentration threshold setting methods that adjust the ventilation rate in a stepwise manner, and consecutive/sequential control of the ventilation rate according to time-dependent CO_2 concentrations, were adopted. During the field measurements in 2013FY, a sequential optimization procedure of the ventilation rate using an inverter system was introduced into the ERV with CO_2DCV, and a significant reduction inoutdoor intake and electricity consumption was confirmed.