| 1. |
- Li, Chao, et al.
(author)
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Assessment of the degradation efficiency of full-scale biogas plants : A comparative study of degradation indicators
- 2017
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In: Bioresource Technology. - : Elsevier BV. - 0960-8524. ; 244, s. 304-312
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Journal article (peer-reviewed)abstract
- Increasing popularity and applications of the anaerobic digestion (AD) process has necessitated the development and identification of tools for obtaining reliable indicators of organic matter degradation rate and hence evaluate the process efficiency especially in full-scale, commercial biogas plants. In this study, four biogas plants (A1, A2, B and C) based on different feedstock, process configuration, scale and operational performance were selected and investigated. Results showed that the biochemical methane potential (BMP) based degradation rate could be use in incisively gauging process efficiency in lieu of the traditional degradation rate indicators. The BMP degradation rates ranged from 70 to 90% wherein plants A2 and C showed the highest throughput. This study, therefore, corroborates the feasibility of using the BMP degradation rate as a practical tool for evaluating process performance in full-scale biogas processes and spots light on the microbial diversity in full-scale biogas processes.
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| 2. |
- Wang, Haoyu, et al.
(author)
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Improving the real-time experience for software-measurement system end-users
- 2017
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In: ACM International Conference Proceeding Series. - New York, NY, USA : ACM. ; Part F131936, s. 100-106
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Conference paper (peer-reviewed)abstract
- Background: Software measurement systems are used in large companies to provide developers with up-to-date feedback and metrics. Aim /Problem: However, the front-ends of these systems are often not ready to provide a real-time experience for the end-users, who sometimes have to wait minutes before visualizations are provided. Method: In this paper we compare four alternative technological setups for these front-ends that were created within a large international telecommunication provider. We use a publicly available dataset for a performance evaluation and to analyze the results. Results: Our results indicate that the choice of the visualization component has a larger impact on the performance than the choice of the data storage. However, performance is also impacted by the combination of storage and visualization tools used.
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