TECHNICAL WRITING EDIT: BEFORE & AFTER

BEFORE:

In this case study, a proposal to recover the wasted energy in HVAC system to power-up WSN’s and self-powered sensors to increase the system efficiency to move forward to renewable energy resources and to minimize the need for maintenance and cost of battery replacement as main power supply for IOT devices. Vibration energy harvesting technique by using piezoelectric module which convert mechanical energy into electrical energy, Thermal energy harvesting by using TEG module which convert thermal energy into electrical energy. Experimental module has been developed for this system to assess the feasibility of these application by recovery of unwanted wasted energies from air conditioning system like motors heat rise-up and exceeded mechanical vibration during system operation. Results for power output and generation from both modules been estimated, measured, validated and presented in details which shows promising potential to adapt these techniques for low grade waste recovery system in HVAC application with current demand increasing for air conditioning system reliable with clean energy resources and eco-friendly.

AFTER:

With each passing day, efficient recovery and use of energy waste grows in importance. It is in consideration of the fact that international demand for the comfort and health benefits of air conditioning are ever increasing that this case study, demonstrating an application for energy recovery and use within HVAC systems, has been prepared. Energy recovered within HVAC systems – both through heat differential and vibration – can be harvested and used to provide power for WSNs and self-powered sensors. Techniques used to harvest this energy from HVAC systems serve to increase energy efficiency, thus, further encouraging the aforementioned momentum in using renewable energy. Additionally, these techniques end up reducing the need for maintenance and – in the case of IOT devices, for example – eliminating batteries as a primary power supply. The techniques described herein focus on two techniques, that of the harvesting of vibration energy and that of utilizing thermal energy. In simplistic terms, the vibration energy emitted during operation of the system harvesting technique works by attaching a piezoelectric module to the device. The piezoelectric module converts mechanical energy into electrical energy. The harvesting of thermal energy – or the difference in temperature between that generated by combustion vs. that of ambient air is managed using a TEG module – an instrument capable of converting thermal energy into electrical energy. This case study describes a novel experimental module that superbly assesses the feasibility of applying both of these applications when operating especially low-grade HVAC systems. Within this proposal, results of power output and generation from both modules has been estimated, measured, and validated. Studies reveal promising potential for their application on low-grade HVAC systems that will serve to fulfil the increasing demand for more eco-friendly air-conditioning systems.

BEFORE:

The temperature difference in system envelope vary according to chosen component in HVAC system;  like compressor discharge header during operation mode at an ambient of 42 °C, will reach to 88 °C with gas pressure in discharge line of 267 PSI for R-407C, while the condenser fan motor surface temperature will reach 60 °C at ambient of 42 °C. The evaporator fan motor surface temperature reaches around 55 °C, which located in evaporator box section, and with an ambient air temperature of 15-16 °C.

AFTER:

The temperature difference in a system envelope varies according to chosen components in different HVAC systems. A compressor discharge header during operation mode at an ambient of 42 °C, will reach 88 °C, with gas pressure in its discharge line of 267 PSI for R-407C, while the condenser fan motor surface temperature will reach 60 °C in an ambient of 42 °C. An evaporator fan motor located in an evaporator box can reach a surface temperature of 55 °C, with an ambient air temperature of 15-16 °C.

BEFORE:

Methodology of vibration test has two main parts the vibration measurement and the acquired data analysis, vibration data analysis to determine the frequency or the rate of oscillation in the time domain which is amplitude versus time where limited to few parameters to identify the vibration profile like RMS, Peak-Peak and amplitude. Frequency domain vibration analysis usually done by three techniques FFT, PSD and Spectrogram, in this experiment will use the Fast Fourier Transform algorithm (FFT) where the vibration amplitude output as a function of frequency so the analyser can understand the causes of vibration, FFT has the ability for faults diagnostics based on appeared frequencies to evaluate each one based on peak of amplitude and it range of acceptable criteria. 

AFTER:

The methodology used in this vibration test had two main parts: vibration measurement and acquired data analysis. Vibration data analysis determines the frequency or rate of oscillation in the time domain: amplitude versus time. The vibration profile was limited to RMS, Peak-Peak and amplitude. Although frequency domain vibration analysis is usually done using three techniques FFT, PSD and Spectrogram, in this experiment used the Fast Fourier Transform algorithm (FFT). The FFT allows measurement of vibration amplitude output as a function of frequency so the analyser can understand the causes of vibration.

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