TY - JOUR
T1 - Monitoring of CCS areas using micro unmanned aerial vehicles (MUAVS)
AU - Neumann, P. P.
AU - Asadi, S.
AU - Bennetts, V. Hernandez
AU - Lilienthal, A. J.
AU - Bartholmai, M.
N1 - Funding Information:
The authors thank the participating colleagues from BAM and Örebro University. The authors also would like to express their gratitude to BMWi (MNPQ Program; file number 28/07) and to the EC (contract number FP7 224318 DIADEM) for funding the research.
PY - 2013
Y1 - 2013
N2 - Carbon capture & storage (CCS) is one of the most promising technologies for greenhouse gas (GHG) management. However, an unsolved issue of CCS is the development of appropriate long-term monitoring systems for leak detection of the stored CO2. To complement already existing monitoring infrastructure for CO2 storage areas, and to increase the granularity of gas concentration measurements, a quickly deployable, mobile measurement device is needed. In this paper, we present an autonomous gas-sensitive micro-drone, which can be used to monitor GHG emissions, more specifically, CO2. Two different measurement strategies are proposed to address this task. First, the use of predefined sensing trajectories is evaluated for the task of gas distribution mapping using the micro-drone. Alternatively, we present an adaptive strategy, which suggests sampling points based on an artificial potential field (APF). The results of real-world experiments demonstrate the feasibility of using gas-sensitive micro-drones for GHG monitoring missions. Thus, we suggest a multi-layered surveillance system for CO2 storage areas.
AB - Carbon capture & storage (CCS) is one of the most promising technologies for greenhouse gas (GHG) management. However, an unsolved issue of CCS is the development of appropriate long-term monitoring systems for leak detection of the stored CO2. To complement already existing monitoring infrastructure for CO2 storage areas, and to increase the granularity of gas concentration measurements, a quickly deployable, mobile measurement device is needed. In this paper, we present an autonomous gas-sensitive micro-drone, which can be used to monitor GHG emissions, more specifically, CO2. Two different measurement strategies are proposed to address this task. First, the use of predefined sensing trajectories is evaluated for the task of gas distribution mapping using the micro-drone. Alternatively, we present an adaptive strategy, which suggests sampling points based on an artificial potential field (APF). The results of real-world experiments demonstrate the feasibility of using gas-sensitive micro-drones for GHG monitoring missions. Thus, we suggest a multi-layered surveillance system for CO2 storage areas.
KW - Artificial potential field
KW - CCS
KW - Gas distribution mapping
KW - Gas-sensitive micro-drone
KW - Sensor planning
UR - http://www.scopus.com/inward/record.url?scp=84898745512&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2013.06.320
DO - 10.1016/j.egypro.2013.06.320
M3 - Conference article
AN - SCOPUS:84898745512
SN - 1876-6102
VL - 37
SP - 4182
EP - 4190
JO - Energy Procedia
JF - Energy Procedia
T2 - 11th International Conference on Greenhouse Gas Control Technologies, GHGT 2012
Y2 - 18 November 2012 through 22 November 2012
ER -