The current studies on carbon dioxide (CO2) emissions and the impacts on public health focus mainly on evaluating CO2 emissions from two types of emission sources. The first is a fixed source type from industrial plants, which can be controlled or easily evaluated. The second is a mobile source type from the transport sector, especially from medium- and heavy-duty vehicles (MHDVs), which produce high emissions. However, the common methods of evaluation of the average value of CO2 emissions per kilometer of a vehicle use a general Intergovernmental Panel on Climate Change (IPCC) model that does not consider the topography or road conditions. This affects the accuracy of CO2 emission assessments and, in turn, affects the accuracy of any analysis needed to establish health policies and the management of public health within the affected area. In this paper, therefore, we present the development of emission coefficient calculations with varying topography conditions for MHDVs with consideration of the health effects on the populace. The study area was the Asian highway network in Thailand that passes through all regions and is geographically diverse. Data were collected from the Department of Highway’s records, global positioning system (GPS) and electronic control unit (ECU) with data consisting of road data, slope, distance, traffic level and vehicle weight, as well as fuel consumption along the transportation route. To analyze and map out the correlation of the CO2 emission coefficients for each road slope, we determined the coefficient of the CO2 emissions using multiple linear regression analysis and validated this using Huber–White robust standard errors for heteroscedasticity. This method was more cost-efficient and time-efficient compared to the conventional approaches. We also created CO2 emission maps with risk points for health effects, and we propose policy designs and plans to manage the traffic level in each of these areas prone to higher levels of such emissions.
Electricity has become one of the most important factors contributing to both the livelihoods of individuals and global economic development. Most electricity generation is still derived from burning fossil fuels that contribute to environmental degradation. The aim of this research, through innovative design, was to create clean circular technology through the utilization of electronic devices that control and send optimally timed commands to two 72-volt batteries (DC) that store and distribute energy. This new form of electric power generation was adapted to be used with a three-way differential gear system. The speed of transmission was adjusted, and shaft rotation was connected to a 7.5 kw/h DC power motor with two 15 kw/h alternators in three phases to generate high torque power at the desired rate of 3000 RPM and electricity. The first set of alternators generated the electrical energy to be distributed. The circuit system of battery set one was used for storage and slowly fed to the motor, which was kept continuously running for hours. The second alternator distributed the generated voltage to the secondary battery, which stored backup power and provided the main power to the grid. This system is especially appealing for those looking to improve energy efficiency and contribute to the green economy, as this system can be applied to power charging stations for electric vehicles or used as a backup power source for buildings.
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