Integrated Liquid/Steam Multiphase Flow Sensors for Geothermal Applications

dc.contributor.authorLopez, Sydney Laurenen
dc.contributor.committeechairNg, Wing Faien
dc.contributor.committeememberHuxtable, Scott T.en
dc.contributor.committeememberWaller, Tremayne O.en
dc.contributor.departmentMechanical Engineeringen
dc.date.accessioned2025-06-17T08:01:21Zen
dc.date.available2025-06-17T08:01:21Zen
dc.date.issued2025-06-16en
dc.description.abstractRenewable energy resources are a viable option for aiding in the decrease of carbon emissions that are produced from the use of fossil fuels. Of the various renewable energy options, this study will focus on geothermal energy, specifically steam wells. Steam wells are holes drilled into the ground for the purpose of accessing and extracting water from underground reservoirs. This water can be heated using a few different methods to create steam. One associated challenge is how to determine the conditions inside the steam well, specifically monitoring the present phases. This study proposes the use of fiber optic sensors to detect the multiphase flow. The Department of Energy (DOE) is interested in creating steam wells, and the purpose of the research is to determine the capabilities of fiber optic sensors developed by NanoSonic Inc. to operate effectively in the detection of a multiphase environment. The fiber optic sensors will be externally mounted to a bubble column along with a digital camera. Data collected from both methods such as bubble diameter, velocity, and volume (air percentage) will be compared. The camera serves as a rudimentary calibration method. Three flow conditions are chosen for examination: plug flow, transition flow, and bubble flow. For this study, plug flow is a singular bubble which has a diameter nearly equivalent to that of the bubble column (2 inches). Bubble flow is much smaller bubbles that travel together, but don't combine to form a larger bubble. Transition flow is between these two conditions; it is a cluster of smaller bubbles on the verge of combining into one plug bubble. After data collection, Matlab R2024a will be used for calculation and analysis. The equation for velocity is derived as outlined in published works using the same camera-based velocimetry estimation method. Additional calibration for the method comes from a published study that derived a general equation for bubble rising velocity in conditions that algin with those in this research.en
dc.description.abstractgeneralRenewable energy resources are a viable option for aiding in the decrease of carbon emissions that are produced from the use of fossil fuels. Of the various renewable energy options, this study will focus on geothermal energy, specifically steam wells. Steam wells are holes drilled into the ground for the purpose of accessing and extracting water from underground reservoirs. This water can be heated using a few different methods to create steam. One associated challenge is how to determine the conditions inside the steam well, specifically monitoring the present phases. This study proposes the use of fiber optic sensors to detect the multiphase flow. The Department of Energy (DOE) is interested in creating steam wells, and the purpose of the research is to determine the capabilities of fiber optic sensors developed by NanoSonic Inc. to effectively detect air and water in this environment. For testing, a long acrylic tube will be filled with water. The fiber optic sensors will be placed outside of the column and used to collect data such as bubble diameter, velocity, and volume (air percentage). This data will be compared to data collected from a digital camera as a rough calibration method. Three flow conditions are chosen for examination: plug flow, transition flow, and bubble flow. For this study, plug flow is a singular bubble which has a diameter nearly equivalent to that of the bubble column (2 inches). Bubble flow is much smaller bubbles that travel together, but don't combine to form a larger bubble. Transition flow is between these two conditions; it is a cluster of smaller bubbles on the verge of combining into one plug bubble. After data collection, Matlab R2024a was used for calculation and analysis. Plug flow had the smallest difference between the velocity determined by the video and the velocity determined by the sensors. Plug flow also had the smallest difference between the air percentage determined by the video and the air percentage determined by the top sensor.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:43871en
dc.identifier.urihttps://hdl.handle.net/10919/135530en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectGeothermal energyen
dc.subjectMultiphase flowen
dc.subjectBubble columnen
dc.subjectFiber optic sensoren
dc.subjectBubble velocityen
dc.titleIntegrated Liquid/Steam Multiphase Flow Sensors for Geothermal Applicationsen
dc.typeThesisen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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