Transactions of the Society of Heating,Air-conditioning and Sanitary Engineers of Japan
Online ISSN : 2424-0486
Print ISSN : 0385-275X
ISSN-L : 0385-275X
Volume 41, Issue 235
Displaying 1-3 of 3 articles from this issue
Scientific Paper
  • Tadao KAWAI, Jyunya KOBAYASHI, Hiroki MORINAGA, Hideki TUKIMOTO, Yosuk ...
    2016 Volume 41 Issue 235 Pages 1-8
    Published: October 05, 2016
    Released on J-STAGE: October 05, 2017
    JOURNAL FREE ACCESS

    A data center is very important facility nowadays for supporting Internet services. In a data center, an air conditioner is used to maintain a suitable room temperature. Because the problem that occur in an air conditioner result in serious damage to a server system, the maintenance of an air conditioner is very important. Although many problems that occur in electrical circuits are easily detected, it is difficult to detect problems in a condenser, e.g. the debris within it. The most popular technique for maintaining a condenser is inspection and cleaning by service staff. This procedure is very simple, but it requires large costs and time. In this paper, we propose a new technique to estimate the condition of a condenser by using a heat balance model with dynamic data. The procedure of our technique is as follows. (1) Building and tuning of a heat balance model The heat balance in a condenser was calculated on the basis of Mollier chart. The heat carried by a refrigerant was transferred through a pipe to air by a cooling fan. After this process was modeled, the process parameters were determined by using dynamic data for a clean heat sink in a condenser. Here, the dynamic data were the data measured immediately after a compressor started. Moreover a clean sink was set without a net. On the contrary, a dirty sink was set by covering a condenser with nets. Experiments were carried out by changing the number of nets and the outside temperature. (2) Diagnosis of a condenser First, the output was calculated by using a model with the measured input data. Then, the calculated output and the measured output were compared to estimate the cleanliness of a sink in a condenser. Experiments were carried out under the following conditions. (a) Time to stabilize an air conditioner For experimental condition A, it took 3 h to stabilize an air conditioner. For experimental condition B, experiments were carried out 5 min after a compressor started. (b) Outside temperature The outside temperature was selected to estimate the effects of a season. The two temperatures of 15 and 35 °C were selected. (c) The number of nets The level of dirtiness of a condenser was controlled by covering a condenser with 5, 10, and 20 sheets of nets. At the beginning, the proposed technique was verified. A set of experimental input data for tuning the model parameters was input into the model and the difference between the calculated and experimental outputs was checked. In the ideal situation, no difference was assumed. In our case, a small difference remained. This difference was assumed as an index of diagnosis. If the estimated difference is almost as small as this difference, the condenser was assumed to be clean. Next, experiments were carried out under the above conditions. Finally, our proposed technique indicated an obvious difference for 10 and 20 sheets of nets under all experimental conditions.

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Technical Paper
  • Hisashi KOTANI, Toshio YAMANAKA, Yoshihisa MOMOI, Kazunobu SAGARA, Ryo ...
    2016 Volume 41 Issue 235 Pages 9-14
    Published: October 05, 2016
    Released on J-STAGE: October 05, 2017
    JOURNAL FREE ACCESS

    The load factor or the demand factor of cooking appliances in commercial kitchens is background data in several analyses of HVAC design. Data related to the load factor in electrical cooking appliances have been investigated before, but there are few investigations for gas cooking appliances. The load factor of the gas cooking appliances is measured and analyzed under actual operating conditions in a real commercial kitchen in this study. Several types of measured data processing methods for the load factor have been previously proposed. The data obtained in this study are processed using these methods and compared with previous data for general-purpose uses. The data averaging time and data collection period are particularly noted. As a result, the quantitative difference caused by the averaging time difference is confirmed, and a data collection period of around two weeks seems to be sufficient to reach a plateau.

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  • Takashi NAKAI, Yukimasa OGAWA, Seishi OKADA, Nobuharu MAEDA, Kazuyoshi ...
    2016 Volume 41 Issue 235 Pages 15-21
    Published: October 05, 2016
    Released on J-STAGE: October 05, 2017
    JOURNAL FREE ACCESS

    It is said that the total number of wastewater reuse facilities and rainwater utilization facilities is 3,654 in Japan. In recent years, the number of newly installed wastewater reuse facilities has decreased, but the number of rainwater utilization facilities has increased slightly. In these facilities, there are many problems to be solved, such as maintenance, the renewal cost, an insufficient quantity of reclaimed water, and the instabilities in the quantity and quality of the raw water. A questionnaire survey has been carried out to investigate the actual situation and problems.

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