28910
2013
eng
4033
4040
37
article
Elsevier
Amsterdam
1
--
--
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Multifunctional sensor for monitoring of CO2 underground storage by comprehensive and spatially resolved measuring of gas concentrations, temperature and structural changes
One of the main unsolved issues of CCS is the comprehensive surveillance of CO2 storage areas with reasonable effort and costs. This study presents an approach for distributed subsurface monitoring of gas storage areas. The concept combines different measurement technologies to one multifunctional sensor: membrane based measurement technology for in situ monitoring of gases in soil and fibre optical sensing of temperature and strain (as a measure for structural change). A test field of application-relevant dimensions is built up to validate and optimize the technology.
Energy procedia
31801
10.1016/j.egypro.2013.06.303
http://reginnovations.org/key-scientific-articles/multifunctional-sensor-monitoring-co2-underground-storage-comprehensive-spatially-resolved-measuring-gas-concentrations-temperature-structural-changes/
1876-6102
Sonderstandort: Publica-Schrank
GHGT 11 - Greenhouse gas control technologies conference
Kyoto, Japan
2012-11-18
2012-11-22
Die Aufnahme ist grundsätzlich falsch, da es sich bei "Energy procedia" nicht um eine Zeitschrift handelt, sondern um eine Tagungsband-Reihe. Da sehr viele Artikel an diesem Eintrag hängen, wäre die Korrektur aber extrem aufwändig. Die Tagungsband-Reihe findet sich in der Master Journal List bzw. in dem Journal Citation Report selbstverständlich nicht wieder, da es ja keine Zeitschrift ist. Allerdings wird die Tagungsband-Reihe sehr wohl von Thomson-Reuters für Ihre Datenbank ausgewertet, als "Book Series". Daher muss sichergestellt werden, dass die dort erscheinenden Artikel auch für die "1000-Euro-Liste" berücksichtigt werden. Die einfachste Lösung ist es, den Eintrag als Zeitschrift zu belassen, und das Häkchen bei "In MJL/CPCI von ISI enthalten" zu setzen. Das ist zwar formal nicht ganz korrekt, erzeugt aber das richtige Ergebnis. Jan Harloff-Puhr 15.9.2014
12.08.2013
Matthias Bartholmai
Patrick P. Neumann
D. Lazik
eng
uncontrolled
Multifunctional sensor
eng
uncontrolled
Distributed sensor
eng
uncontrolled
Monitoring of CO2
eng
uncontrolled
Subsurface monitoring
eng
uncontrolled
Gas storage areas
eng
uncontrolled
Membrane-based gas sensing
eng
uncontrolled
Fibre optical sensing
Verlagsliteratur
Physisches Exemplar in der Bibliothek der BAM vorhanden ("Hardcopy Access")
36228
2016
eng
4501
4508
11
16
article
IEEE - Inst. Electrical Electronics Engineers Inc
Hoes Lane, NJ, USA
IEEE
1
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--
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Tomographic reconstruction of soil gas distribution from multiple gas sources based on sparse sampling
A monitoring method is introduced that creates twodimensional (2D) maps of the soil gas distribution. The method combines linear gas sensing technology for in-situ monitoring of gases in soil with the mapping capabilities of Computed Tomography (CT) to reconstruct spatial and temporal resolved gas distribution maps. A weighted iterative algebraic reconstruction method based on Maximum Likelihood with Expectation Maximization (MLEM) in combination with a source-by-source reconstruction approach is introduced that works with a sparse setup of orthogonally-aligned linear gas sensors. The reconstruction method successfully reduces artifact production, especially when multiple gas sources are present, allowing the discrimination between true and non-existing so-called ghost source locations. Experimental validation by controlled field experiments indicates the high potential of the proposed method for rapid gas leak localization and quantification with respect to Pipeline or underground gas storage issues.
IEEE Sensors Journal
10.1109/JSEN.2016.2545103
1530-437X
02.06.2016
Patrick P. Neumann
D. Lazik
Matthias Bartholmai
eng
uncontrolled
Computed tomography
eng
uncontrolled
Gas distribution mapping and gas source localization
eng
uncontrolled
Discrimination of multiple gas sources
eng
uncontrolled
Distributed linear sensor
eng
uncontrolled
Membrane-based gas sensing
eng
uncontrolled
Subsurface monitoring
eng
uncontrolled
Gas storage areas
Analytische Chemie
Angewandte Physik
Sanitär- und Kommunaltechnik; Umwelttechnik
Verlagsliteratur
Datei im Netzwerk der BAM verfügbar ("Closed Access")
32083
2014
eng
942
945
conferenceobject
Institute of Electrical and Electronics Engineers (IEEE)
1
--
--
--
Linear sensor for areal subsurface gas monitoring - calibration routine and validation experiments
Membrane based linear gas sensors and fiber optical sensors feature similar geometries and complement each other in quantities to be measured. To the author's best knowledge, it is the first time that these sensors are combined to a multifunctional sensor for distributed measuring of gas concentrations, temperature, and strain. Objective is a comprehensive monitoring of underground gas storage areas. In the presented project a 400 m² test site and a corresponding laboratory system were just built up to characterize, validate, and optimize the combined sensor. Application of the sensor lines in a grid structure should enable spatial resolution of the measurement data and early detection of relevant events, as gas leakage, temperature change, or mechanical impact. A Calibration routine was developed which can be applied subsequent to underground installation. First measurement results indicate the potential of the method, with regard to highly topical energy transport and storage issues.
IEEE Sensors 2014 conference (Proceedings)
35144
978-1-4799-0161-6
10.1109/ICSENS.2014.6985157
IEEE Sensors 2014 conference
Valencia, Spain
02.11.2014
05.11.2014
01.12.2014
Matthias Bartholmai
Patrick P. Neumann
Klaus-Dieter Werner
Sebastian Ebert
D. Lazik
eng
uncontrolled
Linear sensor
eng
uncontrolled
Distributed sensor
eng
uncontrolled
Monitoring of CO2
eng
uncontrolled
Subsurface monitoring
eng
uncontrolled
Gas storage areas
eng
uncontrolled
Membrane-based gas sensing
eng
uncontrolled
Fibre optical sensing
Verlagsliteratur
Datei im Netzwerk der BAM verfügbar ("Closed Access")
31527
2014
eng
238
239
conferenceobject
Verein Deutscher Ingenieure (VDI)
1
--
--
--
Setup of a large scale soil test field with CO2 injection for testing a novel distributed subsurface monitoring system for gas storage areas
One of the main unsolved issues of under-ground storages for, e.g., CO2, H2, and natural gas is the comprehensive surveillance of these areas with reasonable effort and costs. Conventional sensors (e.g., soil air probes or borehole probes), however, can only be used for punctual or locally limited measurements; further their application can cause structural influences (invasive application).
In this paper, we describe in detail the setup of a CO2 injection soil test field. This test field will be used to enhance and validate an innovative ap-proach for distributed subsurface monitoring of gas storage areas. To the author’s knowledge, this is the first time that, for this purpose, a test field is built in an application relevant scale.
31st Danubia-Adria Symposium on advances in experimental mechanics (Proceedings)
34550
978-3-00-046740-0
31st Danubia-Adria Symposium on advances in experimental mechanics
Kempten, Germany
24.09.2014
27.09.2014
02.10.2014
Patrick P. Neumann
Harald Kohlhoff
Klaus-Dieter Werner
Jessica Erdmann
Bärbel Eggeringhaus
Michael Kammermeier
Marcus Schukar
Frank Basedau
Matthias Bartholmai
D. Lazik
Sebastian Ebert
eng
uncontrolled
Large scale soil test field
eng
uncontrolled
Subsurface monitoring
eng
uncontrolled
Gas storage areas
eng
uncontrolled
Membrane-based gas sensing
eng
uncontrolled
Fiber optical sensing
Verlagsliteratur
Datei im Netzwerk der BAM verfügbar ("Closed Access")
37653
2016
eng
606
615
10
83
article
Walter de Gruyter GmbH
Berlin, Deutschland
1
--
--
--
Aufbau eines großflächigen Testfeldes für verteilte Bodengassensorik und Untersuchung einer Monitoringmethode basierend auf Tomographie
Setup of a large-scale test field for distributed soil gas sensors and testing of a monitoring method based on tomography
A 400 m² soil test field with gas injection system was built up for the purpose of large-scale validation, optimization, and characterization of a novel comprehensive monitoring method for underground gas storage areas. The method combines gas sensing technology with linear form factor for in-situ monitoring of gases in soil with the mapping capabilities of Computed Tomography (CT) to reconstruct time-series of gas distribution maps based on samples of orthogonally-aligned linear gas sensors. Several injection experiments with carbon dioxide (CO2) at different days with varying boundary conditions indicates the potential of the method for, e.g., rapid leakage detection with respect to Carbon Capture and Storage (CCS) issues.
Zur Validierung, Optimierung und praxisnahen Demonstration eines flächendeckenden Monitoringverfahrens für Untergrundgasspeichern wurde ein 400 m² großes Testfeld mit Gasinjektionssystem auf dem BAM Testgelände Technische Sicherheit aufgebaut. Die Methode kombiniert verteilte, linienförmige Gassensorik für die In-situ-Überwachung von Gasen im Boden mit den Mapping-Fähigkeiten der Computertomographie (CT). Auf Basis von orthogonal zueinander ausgerichteten linearen Gassensoren können mit diesem Verfahren so Zeitreihen der Gasverteilung rekonstruiert werden. Experimente mit
Kohlendioxid (CO2) zeigen das Potential des Verfahrens zur schnellen Lokalisierung von Leckagen auf.
tm - Technisches Messen
10.1515/teme-2016-0015
2196-7113
0171-8096
01.12.2016
Patrick P. Neumann
Klaus-Dieter Werner
Sergej Petrov
Matthias Bartholmai
D. Lazik
eng
uncontrolled
Soil test field
eng
uncontrolled
Distributed linear sensor
eng
uncontrolled
Membrane-based gas sensing
eng
uncontrolled
Subsurface monitoring
eng
uncontrolled
Gas storage areas
eng
uncontrolled
Computed tomography
Analytische Chemie
Angewandte Physik
Ingenieurbau
Verlagsliteratur
Datei im Netzwerk der BAM verfügbar ("Closed Access")
34849
2015
eng
1550
1553
conferenceobject
IEEE
1
--
--
--
Near real-time reconstruction of 2D soil gas distribution from a regular network of linear gas sensors
A monitoring method is introduced that creates, in near real-time, two-dimensional (2D) maps of the soil gas distribution. The method combines linear gas sensing technology for in-situ monitoring of gases in soil with the mapping capabilities of Computed Tomography (CT) to reconstruct spatial and temporal resolved gas distribution maps. A weighted iterative algebraic reconstruction method based on Maximum Likelihood with Expectation Maximization (MLEM) in combination with a source-by-source reconstruction approach is introduced that works with a sparse setup of orthogonally-aligned linear gas sensors. The reconstruction method successfully reduces artifact production, especially when multiple gas sources are present, allowing the discrimination between true and non-existing so-called ghost source locations. A first experimental test indicates the high potential of the proposed method for, e.g., rapid gas leak localization.
Proceedings of the IEEE Sensors 2015
37999
978-1-4799-8202-8
1930-0395
IEEE Sensors 2015
Busan, South Korea
01.11.2015
04.11.2015
18.11.2015
Patrick P. Neumann
Matthias Bartholmai
D. Lazik
eng
uncontrolled
Distributed linear sensor
eng
uncontrolled
Membrane-based gas sensing
eng
uncontrolled
Subsurface monitoring
eng
uncontrolled
Gas storage areas
eng
uncontrolled
Computed tomography
Verlagsliteratur
Datei im Netzwerk der BAM verfügbar ("Closed Access")
35688
2016
eng
1124
1128
4
3
article
Elsevier Ltd.
1
--
--
--
Concept for investigating mechanical and thermal impacts on distributed subsurface gas monitoring
A multifunctional sensor in line shape was developed and introduced in previous work for measuring of gas concentrations, temperature change, and strain. A current field study focuses on a spatially distributed monitoring of subsurface CO 2 gas storage sites in near real time.
Mechanical impacts, e.g., caused by construction work, denudation, and seismic activity, can affect the integrity of underground gas storage sites. Thermal or moisture impacts, e.g., caused by weather conditions, can influence the gas Distribution behavior. In this paper, we briefly describe the setup of a CO 2 injection soil test field. This setup contains actuating elements for the investigation of mechanical and thermal impacts on distributed subsurface gas monitoring. A concept is given for evaluating these impacts and first experimental results are presented.
Materials Today: Proceedings
10.1016/j.matpr.2016.03.060
2214-7853
32nd DANUBIA ADRIA SYMPOSIUM on Advances in Experimental Mechanics
Starý Smokovec, Slovakia
22.09.2015
25.09.2015
23.08.2016
Sergej Petrov
Patrick P. Neumann
Klaus-Dieter Werner
Aleksander Wosniok
D. Lazik
Matthias Bartholmai
eng
uncontrolled
Linear sensor
eng
uncontrolled
Distributed sensor
eng
uncontrolled
Monitoring of CO 2
eng
uncontrolled
Subsurface monitoring
eng
uncontrolled
Gas storage areas
eng
uncontrolled
Membrane-based gas sensing
eng
uncontrolled
Fibre optical sensing
Analytische Chemie
Angewandte Physik
Verlagsliteratur
Datei im Netzwerk der BAM verfügbar ("Closed Access")
35633
2016
eng
1074
1078
4
3
article
Elsevier Ltd.
1
--
--
--
Inverse calibration routine for linear soil gas sensors
Gas sensors in linear form based on the measuring principle of gas selective permeability through a membrane were developed and introduced for the detection and quantification of gas concentrations. A current field study focuses on measuring CO2 concentrations for a spatially distributed monitoring of subsurface CO2 gas storage sites in near real time. A 400 m² test site and a corresponding laboratory system were built up to characterize, validate, and optimize the sensor. A calibration routine was developed, which can be applied subsequently to underground installation. First measurement results indicate the potential of the method.
Materials Today: Proceedings
doi:10.1016/j.matpr.2016.03.051
http://www.sciencedirect.com/science/article/pii/S221478531600256X
2214-7853
32nd Danubia Adria Symposium on Advances in Experimental Mechanics
Starý Smokovec, Slovakia
22.09.2015
25.09.2015
05.09.2016
Patrick P. Neumann
S. Ebert
D. Lazik
Matthias Bartholmai
eng
uncontrolled
Linear sensor
eng
uncontrolled
Distributed sensor
eng
uncontrolled
Subsurface monitoring
eng
uncontrolled
Gas storage areas
eng
uncontrolled
Membrane-based gas sensing
eng
uncontrolled
Calibration
Analytische Chemie
Angewandte Physik
Sanitär- und Kommunaltechnik; Umwelttechnik
Verlagsliteratur
Datei im Netzwerk der BAM verfügbar ("Closed Access")
41584
2017
eng
5893
5897
5, Part 1
4
article
Elsevier Ltd.
1
--
--
--
Validation of membrane-based linear soil gas sensors under field conditions
A 400 m2 soil test field with gas injection system was built up, which enables an experimental validation of linear membrane-based gas sensors – a sensor technology which was developed based on the selective permeation of gases through membranes. Several soil watering and injection experiments with carbon dioxide at different days with varying boundary conditions were performed showing that the sensor behaves mostly insensitive to the environmental conditions investigated, i.e., barometric pressure fluctuations, soil temperature, air temperature and humidity, sun duration, and wind speed. Furthermore, depending on water infiltration, a gas phase displacement could be observed in-situ based on the changed measurement signal. The results of the validation experiments highlight the potential of the method for rapid leak detection and localization qualifying the sensor particularly for safety applications, e.g., in underground gas storage areas.
MATERIALS TODAY-PROCEEDINGS
10.1016/j.matpr.2017.06.065
http://www.sciencedirect.com/science/article/pii/S2214785317308404
2214-7853
33nd Danubia Adria Symposium on Advances in Experimental Mechanics
Portorož, Slovenia
20.09.2016
23.09.2016
14.12.2017
Patrick P. Neumann
D. Lazik
Matthias Bartholmai
eng
uncontrolled
Distributed linear sensor
eng
uncontrolled
Membrane-based gas sensing
eng
uncontrolled
Subsurface monitoring
eng
uncontrolled
Gas storage areas
eng
uncontrolled
Validation
Analytische Chemie
Angewandte Physik
Verlagsliteratur
Datei im Netzwerk der BAM verfügbar ("Closed Access")