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Full-Text Articles in Mechanical Engineering
Efficient Energy Harvesting With Applications In Vibration And Implantable Biosensors, Mohammad Atmeh
Efficient Energy Harvesting With Applications In Vibration And Implantable Biosensors, Mohammad Atmeh
Mechanical Engineering Theses
The world has stepped into the fourth industrial revolution in many ways such as using the internet of things (IoT) in various applications, and removing the rechargeable power sources seeking for batteryless systems. Since energy is widely abundant around us and it is going to waste, numerous of recent studies have been conducted to propose sustainable solutions to harvest the free ambient power from the surrounding and convert it into electricity. Heat energy, kinetic energy, and radio waves are examples of these potentially harvestable energy sources. Mechanical vibrations represent one of the most plentiful forms of kinetic energy that can …
Simultaneous Thermal Zoning And Demand Control Ventilation, Jose Rodriguez
Simultaneous Thermal Zoning And Demand Control Ventilation, Jose Rodriguez
Mechanical Engineering Theses
Heating Ventilation and Air Conditioning (HVAC) systems include the equipment used to control the conditions and distribution of indoor air in any closed environment that requires certain variables, such as temperature, humidity, carbon dioxide (CO₂) concentration, etc. to be controlled to levels of human comfort and safety, and to levels that keep machines and other devices in special conditions to protect them or guarantee their best performance. In developed countries, HVAC energy consumption is usually between 25% and 42% of the total energy consumption. Thermal zooning and demand control ventilation have shown improvements in comfort and energy consumption savings. The …
Energy Models Of The Txaire Houses, Tajudeen Amadu Annafi
Energy Models Of The Txaire Houses, Tajudeen Amadu Annafi
Mechanical Engineering Theses
Model calibration is important as its functions improve building models. A calibrated model of the TxAIRE Houses #1 and #2 have been developed using the OpenStudio software. The model was developed and calibrated with data of the year 2014 but can be used predict electricity consumption of any year.
An actual meteorological year (AMY) weather file was also created for the houses which was used for calibration. The data used to develop this weather file were measured on-site which improved the accuracy of the model. It was found that an error difference of -1.0 % and -4.2 % occurred between …