The Experts below are selected from a list of 216 Experts worldwide ranked by ideXlab platform
Oguzhan Timur - One of the best experts on this subject based on the ideXlab platform.
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assessing the energy efficiency improvement potentials of hvac systems considering economic and environmental aspects at the hospitals
Renewable & Sustainable Energy Reviews, 2014Co-Authors: Ahmet Teke, Oguzhan TimurAbstract:Abstract The energy use in the world is increasing significantly owing to increase in per capita consumption of energy and growing population. Due to increased energy demand and the depletion of existing fossil fuel based sources, it is required to use the energy more efficient. Researches show that, hospitals represent approximately 6% of total energy consumption in the utility buildings sector. Heating, Ventilation and Air Conditioning (HVAC) systems are the major part of electrical energy consumption at the hospitals. In this paper, the research papers and practical studies on energy efficiency and energy saving potentials on HVAC systems at the hospitals are presented. Under the following sections, the latest literatures including research articles, conferences, e-books, handbooks and company reports interested in energy efficiency, energy saving and energy management HVAC systems are summarized. Variant Refrigerant Flow (VRF) technology enables greater energy efficiency and cost savings compared with traditional HVAC systems is also introduced. This detailed review also focuses on the payback periods of some projects on HVAC including the installation of cogeneration, trigeneration, chiller, new burners, heat exchangers and Steam Trap systems.
Ibrahim Al Hadabi - One of the best experts on this subject based on the ideXlab platform.
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Steam Trap control valve for enhancing Steam flood performance in an omani heterogeneous heavy oil field
Journal of Unconventional Oil and Gas Resources, 2016Co-Authors: Ibrahim Al Hadabi, Kyuro Sasaki, Yuichi Sugai, Amin YousefisahzabiAbstract:Abstract In this research, a numerical feasibility study of the thermal oil recovery using Steam injection has been carried out for a heterogeneous heavy oil field located in southern Oman. There are several technical challenges for designing EOR operation system for oil reservoir with heterogeneous permeability. A numerical simulation of the Steam injection has been developed to investigate the optimum heat transfer in the reservoir to reduce the oil viscosity with more efficiency. The CMG STARSTM model was used for the simulation of Steam injection operation with the valve control of Steam Trap subcool in this field. The simulation results showed that the valve control can result in wider and faster temperature transmission and distribution in the reservoir after Steam injection. It was also shown that Steam Trap operation can result in relatively higher oil production and lower required Steam temperature. Finally, it was suggested that by setting subcool temperature on 20–30 °C using the valve control, Steam injection efficiency can be increased and better SOR (Steam oil ratio) and RF (recovery factor) can be achieved.
Joe E. Lake - One of the best experts on this subject based on the ideXlab platform.
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An Energy Signature Scheme for Steam Trap Assessment and Flow Rate Estimation Using Pipe-Induced Acoustic Measurements
ADVANCED ENVIRONMENTAL CHEMICAL AND BIOLOGICAL SENSING TECHNOLOGIES IX, 2012Co-Authors: Mohammed M. Olama, Teja P Kuruganti, Glenn O. Allgood, Joe E. LakeAbstract:The US Congress has passed legislation dictating that all government\nagencies establish a plan and process for improving energy efficiencies\nat their sites. In response to this legislation, Oak Ridge National\nLaboratory (ORNL) has recently conducted a pilot study to explore the\ndeployment of a wireless sensor system for a real-time measurement-based\nenergy efficiency optimization framework within the Steam distribution\nsystem within the ORNL campus. We make assessments on the real-time\nstatus of the distribution system by observing the state measurements of\nacoustic sensors mounted on the Steam pipes/Traps/valves. In this paper,\nwe describe a spectral-based energy signature scheme that interprets\nacoustic vibration sensor data to estimate Steam flow rates and assess\nSteam Traps health status. Experimental results show that the energy\nsignature scheme has the potential to identify different Steam Trap\nhealth status and it has sufficient sensitivity to estimate Steam flow\nrate. Moreover, results indicate a nearly quadratic relationship over\nthe test region between the overall energy signature factor and flow\nrate in the pipe. The analysis based on estimated Steam flow and Steam\nTrap status helps generate alerts that enable operators and maintenance\npersonnel to take remedial action. The goal is to achieve significant\nenergy-saving in Steam lines by monitoring and acting on leaking Steam\npipes/Traps/valves.
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Wireless Sensing, Monitoring and Optimization for Campus-Wide Steam Distribution
2011Co-Authors: Mohammed M. Olama, Sreenivas R. Sukumar, Phani Teja Kuruganti, Ken Woodworth, Glenn O. Allgood, Joe E. LakeAbstract:The US Congress has passed legislation dictating that all government agencies establish a plan and process for improving energy efficiencies at their sites. In response to this legislation, Oak Ridge National Laboratory (ORNL) has recently conducted a pilot study to explore the deployment of a wireless sensor system for a real-time measurement-based energy efficiency optimization. With particular focus on the 12-mile long Steam distribution network in our campus, we propose an integrated system-level approach to optimize energy delivery within the Steam distribution system. Our approach leverages an integrated wireless sensor and real-time monitoring capability. We make real time state assessment on the Steam Trap health and Steam flow estimate of the distribution system by mounting acoustic sensors on the Steam pipes/Traps/valves and observing measurements of these sensors with state estimators for system health. Our assessments are based on a spectral-based energy signature scheme that interprets acoustic vibration sensor data to estimate Steam flow rates and assess Steam Traps status. Experimental results show that the energy signature scheme has the potential to identify different Steam Trap states and it has sufficient sensitivity to estimate flow rate. Moreover, results indicate a nearly quadratic relationship over the test region between the overall energymore » signature factor and flow rate in the pipe. We are able to present the Steam flow and Steam Trap status, sensor readings, and the assessed alerts as an interactive overlay within a web-based Google Earth geographic platform that enables decision makers to take remedial action. The goal is to achieve significant energy-saving in Steam lines by monitoring and acting on leaking Steam pipes/Traps/valves. We believe our demonstration serves as an instantiation of a platform that extends implementation to include newer modalities to manage water flow, sewage and energy consumption.« less
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Steam distribution and energy delivery optimization using wireless sensors
Proceedings of SPIE, 2011Co-Authors: Mohammed M. Olama, Teja P Kuruganti, Sreenivas R. Sukumar, Seddik M. Djouadi, Glenn O. Allgood, Joe E. LakeAbstract:The Extreme Measurement Communications Center at Oak Ridge National Laboratory (ORNL) explores the deployment of a wireless sensor system with a real-time measurement-based energy efficiency optimization framework in the ORNL campus. With particular focus on the 12-mile long Steam distribution network in our campus, we propose an integrated system-level approach to optimize the energy delivery within the Steam distribution system. We address the goal of achieving significant energy-saving in Steam lines by monitoring and acting on leaking Steam valves/Traps. Our approach leverages an integrated wireless sensor and real-time monitoring capabilities. We make assessments on the real-time status of the distribution system by mounting acoustic sensors on the Steam pipes/Traps/valves and observe the state measurements of these sensors. Our assessments are based on analysis of the wireless sensor measurements. We describe Fourier-spectrum based algorithms that interpret acoustic vibration sensor data to characterize flows and classify the Steam system status. We are able to present the sensor readings, Steam flow, Steam Trap status and the assessed alerts as an interactive overlay within a web-based Google Earth geographic platform that enables decision makers to take remedial action. We believe our demonstration serves as an instantiation of a platform that extends implementation to include newer modalities to manage water flow, sewage and energy consumption.
Amin Yousefisahzabi - One of the best experts on this subject based on the ideXlab platform.
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Steam Trap control valve for enhancing Steam flood performance in an omani heterogeneous heavy oil field
Journal of Unconventional Oil and Gas Resources, 2016Co-Authors: Ibrahim Al Hadabi, Kyuro Sasaki, Yuichi Sugai, Amin YousefisahzabiAbstract:Abstract In this research, a numerical feasibility study of the thermal oil recovery using Steam injection has been carried out for a heterogeneous heavy oil field located in southern Oman. There are several technical challenges for designing EOR operation system for oil reservoir with heterogeneous permeability. A numerical simulation of the Steam injection has been developed to investigate the optimum heat transfer in the reservoir to reduce the oil viscosity with more efficiency. The CMG STARSTM model was used for the simulation of Steam injection operation with the valve control of Steam Trap subcool in this field. The simulation results showed that the valve control can result in wider and faster temperature transmission and distribution in the reservoir after Steam injection. It was also shown that Steam Trap operation can result in relatively higher oil production and lower required Steam temperature. Finally, it was suggested that by setting subcool temperature on 20–30 °C using the valve control, Steam injection efficiency can be increased and better SOR (Steam oil ratio) and RF (recovery factor) can be achieved.
Ahmet Teke - One of the best experts on this subject based on the ideXlab platform.
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assessing the energy efficiency improvement potentials of hvac systems considering economic and environmental aspects at the hospitals
Renewable & Sustainable Energy Reviews, 2014Co-Authors: Ahmet Teke, Oguzhan TimurAbstract:Abstract The energy use in the world is increasing significantly owing to increase in per capita consumption of energy and growing population. Due to increased energy demand and the depletion of existing fossil fuel based sources, it is required to use the energy more efficient. Researches show that, hospitals represent approximately 6% of total energy consumption in the utility buildings sector. Heating, Ventilation and Air Conditioning (HVAC) systems are the major part of electrical energy consumption at the hospitals. In this paper, the research papers and practical studies on energy efficiency and energy saving potentials on HVAC systems at the hospitals are presented. Under the following sections, the latest literatures including research articles, conferences, e-books, handbooks and company reports interested in energy efficiency, energy saving and energy management HVAC systems are summarized. Variant Refrigerant Flow (VRF) technology enables greater energy efficiency and cost savings compared with traditional HVAC systems is also introduced. This detailed review also focuses on the payback periods of some projects on HVAC including the installation of cogeneration, trigeneration, chiller, new burners, heat exchangers and Steam Trap systems.