Abstract
Experimental work could be conducted in either laboratory or at field site. Generally, the laboratory experiments are carried out in an artificial setting and with a highly controlled environment. By contrast, the field experiments often take place in a natural setting, subject to the influences of many uncontrolled factors. Therefore, it is necessary to carefully assess the possible limitations and appropriateness of an experiment before embarking on it. In this paper, a case study of field monitoring of the energy performance of air conditioners is presented. Significant challenges facing the experimental work are described. Lessons learnt from this case study are also discussed. In particular, it was found that ongoing analysis of the monitoring data and the correction of abnormal issues are two of the keys for a successful field test program. It was also shown that the installation of monitoring systems could have a significant impact on the accuracy of the data being collected. Before monitoring system was set up to collect monitoring data, it is recommended that an initial analysis of sample monitored data should be conducted to make sure that the monitoring data can achieve the expected precision. In the case where inevitable inherent errors were induced from the installation of field monitoring systems, appropriate remediation may need to be developed and implemented for the improved accuracy of the estimation of results. Ongoing analysis of monitoring data and correction of any abnormal issues would be the key to a successful field test program.
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Acknowledgments
The assistance of the Queensland Department of Housing and Public Works, Australia, provided in support of this project is gratefully acknowledged. The authors also wish to express great appreciation for the valuable comments/suggestions from all reviewers. They have made a great contribution to the improvement of the quality of this paper.
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Guan, L., Bell, J. Challenges in field monitoring of energy performance of air conditioners. Energy Efficiency 8, 1093–1104 (2015). https://doi.org/10.1007/s12053-015-9339-1
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DOI: https://doi.org/10.1007/s12053-015-9339-1