scholarly journals Comparison of CO2 Emissions from Vehicles in Thailand

2017 ◽  
pp. 65-74 ◽  
Author(s):  
Sutthicha Nilrit ◽  
Pantawat Sampanpanish ◽  
Surat Bualert

Emission of carbon dioxide (CO2), a greenhouse gas, from typical passenger vehicles in Thailand was investigated using a chassis dynamometer in the Automotive Emission Laboratory. The vehicle running method was controlled under the standard Bangkok driving cycle. CO2 emissions were measured at three different speeds for the following four vehicle types commonly used in Thailand: heavy duty diesel (HDD), light duty diesel (LDD), and light duty gasoline (LDG) vehicles and motorcycles (MC). HDD vehicles had the highest average CO2 emission rate, followed by LDD, LDG and MC at 1,198.8±93.1, 268.4±21.3, 166.1±27.7 and 42.5±6.1 g km-1, respectively; all values were significantly different (p < 0.05) from each other. The effect of different fuel types, including diesel, gasoline 91, gasohol 95, gasohol 91, liquid petroleum gas (LPG) and natural gas for vehicles (NGV), on the CO2 emission level was also compared. HDD vehicles had a higher rate of CO2 emission when using either NGV or diesel, while LDD vehicles emitted more CO2 with diesel than with NGV. For LDG vehicles, more CO2 was emitted with gasohol 91 than with gasohol E20, LPG or NGV. Finally, MC had a higher average CO2 emission rate with gasohol 95 than with gasoline 91 and gasohol 91 at any vehicle speed. The CO2 emission rates obtained in this study can be used as a basis to create a database that supports development of an efficient transportation management system and reduced vehicular emission of greenhouse gases in Thailand.

Author(s):  
Sean M McGinn ◽  
Jean-Franҫois Coulombe ◽  
Karen A Beauchemin

Abstract There are knowledge gaps in animal agriculture on how to best mitigate greenhouse gas emissions while maintaining animal productivity. One reason for these gaps is the uncertainties associated with methods used to derive emission rates. This study compared emission rates of methane (CH4) and carbon dioxide (CO2) measured by a commercially available GreenFeed (GF) system to those from 1) a mass flow controller (MFC) that released known quantities of gas over time (i.e., emission rate), and 2) a respiration chamber (RC). The GF and MFC differed by only 1% for CH4 (P = 0.726) and 3% for CO2 (P = 0.013). The difference between the GF and RC was 1% (P = 0.019) for CH4 and 1% for CO2 (P = 0.007). Further investigation revealed that the difference in emission rate for CO2 was due to a small systematic offset error indicating a correction factor could be applied. We conclude that the GF system accurately estimated enteric CH4 and CO2 emission rates of cattle over a short measurement period, but additional factors would need to be considered in determining the 24-h emission rate of an animal.


Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 130
Author(s):  
Mihail Busu ◽  
Alexandra Catalina Nedelcu

In the past decades, carbon dioxide (CO2) emissions have become an important issue for many researchers and policy makers. The focus of scientists and experts in the area is mainly on lowering the CO2 emission levels. In this article, panel data is analyzed with an econometric model, to estimate the impact of renewable energy, biofuels, bioenergy efficiency, population, and urbanization level on CO2 emissions in European Union (EU) countries. Our results underline the fact that urbanization level has a negative impact on increasing CO2 emissions, while biofuels, bioenergy production, and renewable energy consumption have positive and direct impacts on reducing CO2 emissions. Moreover, population growth and urbanization level are negatively correlated with CO2 emission levels. The authors’ findings suggest that the public policies at the national level must encourage the consumption of renewable energy and biofuels in the EU, while population and urbanization level should come along with more restrictions on CO2 emissions.


Author(s):  
Xiaodong Zhang ◽  
Jinliang Xu ◽  
Menghui Li ◽  
Qunshan Li ◽  
Lan Yang

Heavy-duty trucks contribute a significant component of all transportation in cargo terminals, such as Shaanxi Province, China. The emissions from these vehicles are the primary source of carbon emissions during highway operations. While several studies have attempted to address emission issues by improving traffic operations, a few focused on the relationship between emissions and highway geometric design, especially for heavy-duty trucks. The primary goal of this research was to understand the impact of circular curve on carbon dioxide (CO2) emissions produced by heavy-duty diesel trucks. Firstly, appropriate parameters were specified in MOVES (motor vehicle emission simulator) model according to the geometrical characteristics. Fuel consumption, speed and location data were collected by hiring five skilled drivers on the automotive proving ground located at Chang’an University, Shaanxi Province. The associated carbon emission data were derived from fuel consumption data by applying the IPCC (Intergovernmental Panel on Climate Change) method. After this, the applicability of MOVES model was verified by the field experiment. Moreover, a multiple regression model for CO2 emissions incorporated with roadway segment radius, circular curve length, and initial vehicle speed was established with data generated by the MOVES model. The proposed CO2 emission model was also verified by field experiment with relative error of 6.17%. It was found that CO2 emission had monotone decreasing property with radius increasing, and the minimum radius that influenced diesel CO2 emission was 550 m. The proposed quantitative CO2 emission model can provide a reference for low-carbon highway design, leading to environment-friendly transportation construction.


2018 ◽  
Vol 7 (4.35) ◽  
pp. 73
Author(s):  
E. K. Peng ◽  
M. A. Malek ◽  
N. Azimah Bahrum ◽  
C. S. Tan

Greenhouse gases (GHG) exist in the world and lead to more heat being trapped. The study belongs to part of initiatives to establish GHG emission from Agricultural Forest Land Use (AFOLU) at Sarawak, Malaysia. The study implements Tier 1 methodology of 2006 IPCC (Intergovernmental Panel on Climate Change) Guidelines to estimate carbon dioxide (CO2) emissions from cropland remaining cropland in Sarawak, in which uncertainty analyses are included. The study aids in establishing the quantity as well as trending of CO2 emissions from crops such as fruit trees, cocoa, pepper, rubber and palm oil cultivated in non-urban and non-rural areas of Sarawak from year of 2008 to 2012. Based on this study, it is found that Miri is the highest CO2 emitter from palm oil as compared to other districts with total amount of 681.55 kt C/year. It is also found that CO2 emission from crops cultivated in Limbang (non-urban) is the lowest with total values of 35.84 kt C/year, 16.16 kt C/year, 0.13 kt C/year and 5.08 kt C/year for palm oil, rubber, pepper and fruit trees respectively. Generally, results obtained from this study showed that at most districts in Sarawak, palm oil plantations produce the highest CO2 emission demonstrating increasing trend through-out the study duration, while the rubber plantations ranked second. Estimated emission values of CO2 can be used for planning and mitigation purposes at various level of confidence.


2019 ◽  
Vol 11 (2) ◽  
pp. 385 ◽  
Author(s):  
Huihui Wang ◽  
Weihua Zeng

Commuting to and from work is one of the most important and regular routines using urban transport, being a major source for an increase in transport-related carbon dioxide (CO2) emissions. In this study, we explore the characteristics of CO2 emissions from commuter travel in Beijing from different perspectives. A bottom-up approach from a macro perspective is used to analyze recent changing trends of carbon emissions due to commuter travel modes in Beijing, and to identify the main sources of carbon emission increases that affect transportation. To identify CO2 emission characteristics and influencing mechanisms in Beijing, the proportion of commuting modes, commuting distance, and commuting-related CO2 emissions by Ring Roads was analyzed. The commuting-related CO2 emission model, based on Tobit models from the microscopic perspective, was constructed to explore the main factors affecting CO2 emissions of individuals/households. Results show that CO2 emissions due to commuting in Beijing in recent years has presented an increasing trend. In 2014, the amount of CO2 emissions from commuters had already reached the level of 553.68 × 104 t, with CO2 emissions generated by car trips accounting for 75–80% of emissions. Average individual/household commuting-related CO2 emissions on the Ring Road inside the main urban areas of Beijing shows a gradual increasing trend, with the growth trends between the 3rd–5th Ring Road being the largest. Household locations separated by Ring Roads and the occupation type of residents are important factors affecting CO2 emissions. Commuters with access to a car, those having a higher income, and those located in the outer regions of the main urban areas produce more CO2 emissions. To reduce the increasing trend of CO2 emissions in Beijing, it is important that the government accelerates the development of public transport, industry, and residential facilities along the outskirts of the city, along the Ring Road, and along the radix road.


2010 ◽  
Vol 7 (5) ◽  
pp. 1505-1514 ◽  
Author(s):  
A. Hooijer ◽  
S. Page ◽  
J. G. Canadell ◽  
M. Silvius ◽  
J. Kwadijk ◽  
...  

Abstract. Forested tropical peatlands in Southeast Asia store at least 42 000 Million metric tonnes (Mt) of soil carbon. Human activity and climate change threatens the stability of this large pool, which has been decreasing rapidly over the last few decades owing to deforestation, drainage and fire. In this paper we estimate the carbon dioxide (CO2) emissions resulting from drainage of lowland tropical peatland for agricultural and forestry development which dominates the perturbation of the carbon balance in the region. Present and future emissions from drained peatlands are quantified using data on peatland extent and peat thickness, present and projected land use, water management practices and decomposition rates. Of the 27.1 Million hectares (Mha) of peatland in Southeast Asia, 12.9 Mha had been deforested and mostly drained by 2006. This latter area is increasing rapidly because of increasing land development pressures. Carbon dioxide (CO2) emission caused by decomposition of drained peatlands was between 355 Mt y−1 and 855 Mt y−1 in 2006 of which 82% came from Indonesia, largely Sumatra and Kalimantan. At a global scale, CO2 emission from peatland drainage in Southeast Asia is contributing the equivalent of 1.3% to 3.1% of current global CO2 emissions from the combustion of fossil fuel. If current peatland development and management practices continue, these emissions are predicted to continue for decades. This warrants inclusion of tropical peatland CO2 emissions in global greenhouse gas emission calculations and climate mitigation policies. Uncertainties in emission calculations are discussed and research needs for improved estimates are identified.


2020 ◽  
Vol 16 (2) ◽  
pp. 135-139
Author(s):  
Djati Hoesen Salimy ◽  
Sriyono Sriyono ◽  
Elfrida Saragi ◽  
Abdul Hafid

This paper reviews the application of a nuclear hydrogen cogeneration system (NHCS) for conversion of carbon dioxide (CO2) to urea fertilizer. The NHCS is powered by high temperature gas cooled reactor (HTGR)with 2x600 MWt which is sufficient to produce hydrogen and heat energy to convert CO2 from coal-fired power plants with a power of 90 MWe to urea fertilizer of 1725 tons per day. As a source CO2, a coal-fired power plant is built near NHCS. Compared to conventional fertilizer plant, the NHCS application can save natural gas by 21.25x106 MMBTU/year, with a potential reduction in CO2 emission rate of 1.66x106 tons/year. Besides, there is still nuclear heat remaining at about 425.65 MWt which is equivalent to 140.46 MWe of electricity, and 90 MWe of electricity from coal-fired power plants that can be connected to electric grid. The paper also discusses the significance of the combination of NHCS and the technology of CO2 conversion which is expected to play an important role in the industry in the future  as an environmentally friendly approach.


1995 ◽  
Vol 198 (2) ◽  
pp. 521-530 ◽  
Author(s):  
J Lighton ◽  
D Berrigan

Do developmental constraints in ant colonies limit gas exchange strategies to those displayed by female alates (presumptive queens)? In the xeric harvester ant genus Messor, we found that M. pergandei and M. julianus female alates ventilated highly discontinuously, as predicted, but M. julianus workers ventilated less discontinuously and M. pergandei workers (which occur in more xeric habitats) ventilated continuously. We present the salient characteristics of the discontinuous ventilation cycles of the species and the manner in which they are modulated by CO2 emission rates at a single temperature (24 &deg;C). We demonstrate that, in M. julianus workers, open-spiracle phase CO2 emission rate only slightly exceeds overall CO2 emission rate, making discontinuous ventilation marginal, a state extrapolated in M. pergandei to continuous ventilation. However, workers are plainly capable of far greater rates of CO2 emission than when inactive at 24 &deg;C, so the lack of discontinuous ventilation in M. pergandei under normoxic conditions is not likely to be imposed by physiological constraints and may, in fact, be a response to its xeric environment. We hypothesize &shy; aside from phylogenetic effects &shy; that discontinuous ventilation occurs primarily in insects that may experience hypoxic and hypercapnic conditions, such as ant queens during claustral colony foundation and perhaps workers within the nest environment; that discontinuous ventilation is not necessarily essential to reduce respiratory water loss; and that it will not necessarily occur in castes or species routinely exposed to xeric but normoxic conditions.


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