Fault detection in district heating substations. (1st November 2015)
- Record Type:
- Journal Article
- Title:
- Fault detection in district heating substations. (1st November 2015)
- Main Title:
- Fault detection in district heating substations
- Authors:
- Gadd, Henrik
Werner, Sven - Abstract:
- Highlights: High proportion of faults in district heating substations. Hourly meter reading can be used to identify faults. Automatic meter readings can lead to future proactive fault detection instead of current reactive fault detection. Thresholds for fault detection should, if possible, be absolute and not relative. Faults are coincidental with no occurrence pattern and thereby difficult to predict. Abstract: Current temperature levels in European district heating networks are still too high with respect to future conditions as customer heat demands decrease and new possible heat source options emerge. A considerable reduction of temperature levels can be accomplished by eliminating current faults in substations and customer heating systems. These faults do not receive proper attention today, because neither substations nor customer heating systems are centrally supervised. The focus of this paper has been to identify these faults by annual series of hourly meter readings obtained from automatic meter reading systems at 135 substations in two Swedish district heating systems. Based on threshold methods, various faults were identified in 74% of the substations. The identified faults were divided into three different fault groups: Unsuitable heat load pattern, low average annual temperature difference, and poor substation control. The most important conclusion from this early study of big data volumes is that automatic meter reading systems can provide proactive faultHighlights: High proportion of faults in district heating substations. Hourly meter reading can be used to identify faults. Automatic meter readings can lead to future proactive fault detection instead of current reactive fault detection. Thresholds for fault detection should, if possible, be absolute and not relative. Faults are coincidental with no occurrence pattern and thereby difficult to predict. Abstract: Current temperature levels in European district heating networks are still too high with respect to future conditions as customer heat demands decrease and new possible heat source options emerge. A considerable reduction of temperature levels can be accomplished by eliminating current faults in substations and customer heating systems. These faults do not receive proper attention today, because neither substations nor customer heating systems are centrally supervised. The focus of this paper has been to identify these faults by annual series of hourly meter readings obtained from automatic meter reading systems at 135 substations in two Swedish district heating systems. Based on threshold methods, various faults were identified in 74% of the substations. The identified faults were divided into three different fault groups: Unsuitable heat load pattern, low average annual temperature difference, and poor substation control. The most important conclusion from this early study of big data volumes is that automatic meter reading systems can provide proactive fault detection by continuous commissioning of district heating substations in the future. A complete reduction of current faults corresponds to approximately half the required reduction of the current temperature levels in the effort toward future low-temperature district heating networks. … (more)
- Is Part Of:
- Applied energy. Volume 157(2015:Nov. 01)
- Journal:
- Applied energy
- Issue:
- Volume 157(2015:Nov. 01)
- Issue Display:
- Volume 157 (2015)
- Year:
- 2015
- Volume:
- 157
- Issue Sort Value:
- 2015-0157-0000-0000
- Page Start:
- 51
- Page End:
- 59
- Publication Date:
- 2015-11-01
- Subjects:
- District heating -- Fault detection -- Meter reading
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2015.07.061 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
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British Library HMNTS - ELD Digital store - Ingest File:
- 9210.xml