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Volume 36, Issue 176
Displaying 1-12 of 12 articles from this issue
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Article type: Cover
2011 Volume 36 Issue 176 Pages Cover1-
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSDownload PDF (8281K) -
Article type: Cover
2011 Volume 36 Issue 176 Pages Cover2-
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSDownload PDF (8281K) -
Article type: Index
2011 Volume 36 Issue 176 Pages Toc1-
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
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Article type: Appendix
2011 Volume 36 Issue 176 Pages App1-
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSDownload PDF (36K) -
Article type: Appendix
2011 Volume 36 Issue 176 Pages App2-
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSDownload PDF (36K) -
Article type: Appendix
2011 Volume 36 Issue 176 Pages App3-
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSDownload PDF (36K) -
Article type: Appendix
2011 Volume 36 Issue 176 Pages App4-
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSDownload PDF (36K) -
Article type: Appendix
2011 Volume 36 Issue 176 Pages App5-
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSDownload PDF (6K) -
Kanako TOYOSADA, Satoshi DEJIMA, Yasutoshi SHIMIZUArticle type: Article
2011 Volume 36 Issue 176 Pages 1-7
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSIn order to estimate the changes in the CO_2 emission factor associated with water use from 1990 to 2020, the balance between water supply and wastewater treatment for whole Japan was examined by using the statistical data for water supply systems, sewerage systems, and johkasou (a type of domestic wastewater treatment system). Next, the average CO_2 emission factor associated with water use in Japan was computed on the basis of the energy consumed by each component of the water balance. About 90% of CO_2 emissions associated with water use were attributed to power consumption, and the CO_2 emission factor associated with water use was greatly influenced by changes in the CO_2 emission factor associated with electric power. The CO_2 emission factor associated with water use is expected to change from 0.44 to 0.59 kg-CO_2/m^3 for the period 1990 to 2020.View full abstractDownload PDF (1725K) -
Kazuhide ITO, Takayuki FUKUOKA, Hiroaki ASANUMAArticle type: Article
2011 Volume 36 Issue 176 Pages 9-17
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSIn this research, a coupled analysis of the computational fluid dynamics (CFD)-based prediction of unsteady- contaminant concentration distribution and a theoretical epidemiological model (here basic SIR model) are developed to predict the exposure risk to residents in an enclosed space. In this study (part 2), we develop a simulation procedure for infectious contaminant concentration by using a multi-nesting method connecting the building space, virtual manikin and bronchial airway in human beings. On the basis of this numerical simulation, the detailed information on the breathing concentration of infectious contaminants and the non-uniform distribution of contaminant deposition in the nasal airway was obtained and provided to healthcare workers.View full abstractDownload PDF (1582K) -
Yasuyuki SHIRAISHI, Naoki SHINOHARA, Katsuki MAEHARA, Noriyasu SAGARAArticle type: Article
2011 Volume 36 Issue 176 Pages 19-26
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSIt is difficult to dynamically evaluate the thermal-mixing loss and gain for an office space on the basis of experiments and field measurements, since the phenomenon is complicated and unsteady because of outdoor weather conditions, air-conditioning settings, and so forth. In this research, an unsteady state experiment was conducted for an office space, and the prediction accuracy of an HVAC performance simulator was verified for both an HVAC system and indoor environment by comparing the accuracy with the results obtained in this experiment. According to the time history of wind-velocity vectors and temperature distributions at the boundary between the interior zone and perimeter zone, the dynamic characteristics of the thermal-mixing loss and gain were clarified. An analysis introducing a control technique for the thermal-mixing loss was also performed, and the validity of this control technique was verified.View full abstractDownload PDF (1594K) -
Article type: Cover
2011 Volume 36 Issue 176 Pages Cover3-
Published: November 05, 2011
Released on J-STAGE: September 05, 2017
JOURNAL FREE ACCESSDownload PDF (6K)
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