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Summary of IOT Publications
| Title | A Study on the Characteristics of Real-life Energy Consumption and Carbon Emissions of Small Trucks |
|---|---|
| Dept | Transportation Planning and Land Transport Division |
| Year | 2019 |
| Month | 11 |
| Price | 550 |
| Summary | The transportation sector will be one of the main drivers of global greenhouse gas emissions in the future. In view of this, the Institute of Transportation (IOT) aims to implement various action plans to promote energy conservation and reduce greenhouse gas emissions in the transportation sector. To this end, IOT has embarked on the development of a model to link moving vehicles’ energy consumption and emissions to building a sustainable transportation sector. The idea is to strengthen the baseline database of the transportation sector in order to gradually revise domestic fuel consumption rates and emission coefficients, and establish the relationships between transportation activities and energy consumption and emissions in order to incorporate these two major issues of environmental sustainability aspects into the evaluation system. This study, part of a series, is based on the research results related to the dynamic energy consumption of passenger vehicles, buses, motorcycles, and large trucks during 2007-2016. The study tested and analyzes on-the-road behavior of small logistics trucks and built an estimation model for dynamic energy consumption and carbon emission of small trucks. These concrete estimates will help improve the overall efficiency of energy conservation and carbon emission reduction in road transport. The study followed those small trucks for two years and accomplished the following tasks: 1. Collect data by using the HORIBA 2200 on-board system (OBS) for emissions measurement, collecting emissions data from about 105,000 small trucks and build a database of data of other types of vehicles for the period 2007-2016, in order to build a complete database of dynamic energy consumption and carbon emissions of passenger and freight vehicles on the road. 2. Use these real-life on-the-road data to build an estimation model for dynamic energy consumption and carbon emissions of passenger and freight vehicles on the road. Verification has brought down error rates down to less than 9%, demonstrating the model’s good estimation ability. The model is able to sensitively reflect energy consumption and carbon emissions under different road conditions, slopes and speeds. 3. This study used case analysis to observe and compare energy consumption and carbon emissions of small trucks on long slopes and flat stretches of National Highway No. 1 and discovered that energy consumption and carbon emissions on the long slopes were 1.40 to 1.65 higher than on the flat stretches. 4. This study developed parameters for energy consumption and carbon emissions and integrated those into the efficacy of the road network of the Metropolitan Taipei Transportation Demand Forecasting Model (TRTS-4S) to analyze the energy consumption and carbon emissions for different times, vehicle types, and road sections. |
| Post date | 2019-12-05 |
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