Dynamic Behavior of Rural Regions with CO2 Emission Estimation

2018 ◽  
pp. 421-433
Author(s):  
Yi Chen ◽  
Yun Li
Keyword(s):  
Dynamic Behavior ◽  
Co2 Emission ◽  
Rural Regions ◽  
Emission Estimation

scholarly journals New Inventories of Global Carbon Dioxide Emissions through Biomass Burning in 2001–2020

2021 ◽  
Vol 13 (10) ◽  
pp. 1914
Author(s):  
Tomohiro Shiraishi ◽  
Ryuichi Hirata ◽  
Takashi Hirano
Keyword(s):  
Standard Deviation ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Co2 Emission ◽  
Data Sources ◽  
Burned Area ◽  
Observation Data ◽  
Emission Inventories ◽  
Biomass Density ◽  
Emission Estimation

Recently, the effect of large-scale fires on the global environment has attracted attention. Satellite observation data are used for global estimation of fire CO2 emissions, and available data sources are increasing. Although several CO2 emission inventories have already been released, various remote sensing data were used to create the inventories depend on the studies. We created eight global CO2 emission inventories through fires from 2001 to 2020 by combining input data sources, compared them with previous studies, and evaluated the effect of input sources on CO2 emission estimation. CO2 emissions were estimated using a method that combines the biomass density change (by the repeated fires) with the general burned area approach. The average annual CO2 emissions of the created eight inventories were 8.40 ± 0.70 Pg CO2 year−1 (±1 standard deviation), and the minimum and maximum emissions were 3.60 ± 0.67 and 14.5 ± 0.83 Pg CO2 year−1, respectively, indicating high uncertainty. CO2 Emissions obtained from four previous inventories were within ±1 standard deviation in the eight inventories created in this study. Input datasets, especially biomass density, affected CO2 emission estimation. The global annual CO2 emissions from two biomass maps differed by 60% (Maximum). This study assesses the performance of climate and fire models by revealing the uncertainty of fire emission estimation from the input sources.

scholarly journals CO2 emission estimation from transportation usage and cyclingconsideration in the context of green campus, Naresuan University, Thailand

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Taweesak Taekratok, Supansa Luansak
Keyword(s):  
Co2 Emission ◽  
Travel Cost ◽  
Transportation Policy ◽  
Satisfaction Level ◽  
University Ranking ◽  
Emission Estimation ◽  
Green Transportation ◽  
Mode Of Transportation ◽  
Green Campus ◽  
The University

Naresuan University was ranked 4th out of 22 Universities of Thailand by the Green Metric World University Ranking of Indonesia in 2016. In the conceptual of green university, this study aim to find out how much the transportation usage especially motorbike sub-sector release CO2 emission, to estimate travel cost patterns of students within the university and the satisfaction level of students, faculties, and employees with the incentive to follow the green transportation policy in being switched from motorbike usage into cycling. The questionnaires were interviewed for 654 samples by 5% of total students from year 1 to 3.The result of study found that about 89% of students ride motorbike to school and its average per student per 3 times travel a day. The source of motorbike is the most release CO2 emission about 514.75 Kilo carbon/hour followed by car about 85.05 kilo carbon/hour. Lastly, the major reason can force people switching the mode of transportation with the satisfaction is to creating a shadow over the bike path. This result of study can encourage the university develop and plan the green campus in the context of sustainable for future.

scholarly journals Greenhouse Gas (GHG) Emission Estimation from Cropland Remaining Cropland in AFOLU Sector for Various Districts in Sarawak

2018 ◽  
Vol 7 (4.35) ◽  
pp. 73
Author(s):  
E. K. Peng ◽  
M. A. Malek ◽  
N. Azimah Bahrum ◽  
C. S. Tan
Keyword(s):  
Co2 Emissions ◽  
Palm Oil ◽  
Rural Areas ◽  
Co2 Emission ◽  
Fruit Trees ◽  
Ghg Emission ◽  
Intergovernmental Panel ◽  
Tier 1 ◽  
Emission Estimation ◽  
Carbon Dioxide Co2

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.

scholarly journals Life Cycle CO2 Emission Estimation of CCS-EOR System Using Different CO2 Sources

2018 ◽  
Vol 27 (6) ◽  
pp. 2573-2583 ◽  
Author(s):  
Yong Jiang ◽  
Yalin Lei ◽  
Yongzhi Yang ◽  
Fang Wang
Keyword(s):  
Life Cycle ◽  
Co2 Emission ◽  
Emission Estimation

scholarly journals Comparison of GHG Emission Methods Calculated by Applying Biomass Fraction at Sewage Sludge Incinerators in Korea

2019 ◽  
Vol 11 (12) ◽  
pp. 3419
Author(s):  
Seongmin Kang ◽  
Sungheum Cho ◽  
Ki-Hyun Kim ◽  
Eui-chan Jeon
Keyword(s):  
Sewage Sludge ◽  
Greenhouse Gas ◽  
Flue Gas ◽  
Co2 Emission ◽  
Ghg Emissions ◽  
Gas Analysis ◽  
The Other ◽  
Ghg Emission ◽  
Other Hand ◽  
Emission Estimation

In this study, greenhouse gas (GHG) differences due to the application of biomass content are compared at a sewage sludge incinerator. The result of the comparison shows that the differences between the methods of GHG emission estimation based on biomass fraction analysis (sewage sludge analysis and sewage sludge flue gas analysis) were not substantial. On the other hand, the GHG emission estimated from the method in this study showed a difference of 8–9 ton CO2eq/day from the currently used method in Korea. This implies that the latter underestimates the GHG emissions because CO2 emission was not taken into account upon estimating the GHG emission from sewage sludge. Therefore, it has been determined that, from now on, emissions due to CO2 should be reflected in the estimation of GHG emission from sewage sludge.

Ball bearing turbocharger vibration management: application on high speed balancer

2020 ◽  
Vol 21 (6) ◽  
pp. 619
Author(s):  
Kostandin Gjika ◽  
Antoine Costeux ◽  
Gerry LaRue ◽  
John Wilson
Keyword(s):  
Dynamic Behavior ◽  
High Speed ◽  
Internal Combustion Engines ◽  
Ball Bearing ◽  
Squeeze Film ◽  
Design And Technology ◽  
Squeeze Film Damper ◽  
Damping Coefficients ◽  
Bearing Loads ◽  
Stiffness And Damping

Today's modern internal combustion engines are increasingly focused on downsizing, high fuel efficiency and low emissions, which requires appropriate design and technology of turbocharger bearing systems. Automotive turbochargers operate faster and with strong engine excitation; vibration management is becoming a challenge and manufacturers are increasingly focusing on the design of low vibration and high-performance balancing technology. This paper discusses the synchronous vibration management of the ball bearing cartridge turbocharger on high-speed balancer and it is a continuation of papers [1–3]. In a first step, the synchronous rotordynamics behavior is identified. A prediction code is developed to calculate the static and dynamic performance of “ball bearing cartridge-squeeze film damper”. The dynamic behavior of balls is modeled by a spring with stiffness calculated from Tedric Harris formulas and the damping is considered null. The squeeze film damper model is derived from the Osborne Reynolds equation for incompressible and synchronous fluid loading; the stiffness and damping coefficients are calculated assuming that the bearing is infinitely short, and the oil film pressure is modeled as a cavitated π film model. The stiffness and damping coefficients are integrated on a rotordynamics code and the bearing loads are calculated by converging with the bearing eccentricity ratio. In a second step, a finite element structural dynamics model is built for the system “turbocharger housing-high speed balancer fixture” and validated by experimental frequency response functions. In the last step, the rotating dynamic bearing loads on the squeeze film damper are coupled with transfer functions and the vibration on the housings is predicted. The vibration response under single and multi-plane unbalances correlates very well with test data from turbocharger unbalance masters. The prediction model allows a thorough understanding of ball bearing turbocharger vibration on a high speed balancer, thus optimizing the dynamic behavior of the “turbocharger-high speed balancer” structural system for better rotordynamics performance identification and selection of the appropriate balancing process at the development stage of the turbocharger.

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