Measurement of the carbon footprint for Bangladesh's electricity generation in 2009-15

Author(s):  
Md. Mahmudur Rahman ◽  
Anik Mallick
Author(s):  
Christian Böhmeke ◽  
Thomas Koch

AbstractThis paper describes the CO2 emissions of the additional electricity generation needed in Germany for battery electric vehicles. Different scenarios drawn up by the transmission system operators in past and for future years for expansion of the energy sources of electricity generation in Germany are considered. From these expansion scenarios, hourly resolved real-time simulations of the different years are created. Based on the calculations, it can be shown that even in 2035, the carbon footprint of a battery electric vehicle at a consumption of 22.5 kWh/100 km including losses and provision will be around 100 g CO2/km. Furthermore, it is shown why the often-mentioned German energy mix is not suitable for calculating the emissions of a battery electric vehicle fleet. Since the carbon footprint of a BEV improves significantly over the years due to the progressive expansion of renewable-energy sources, a comparison is drawn at the end of this work between a BEV (29.8 tons of CO2), a conventional diesel vehicle (34.4 tons of CO2), and a diesel vehicle with R33 fuel (25.8 tons of CO2) over the entire useful life.


Environments ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 38 ◽  
Author(s):  
Simona Jursova ◽  
Dorota Burchart-Korol ◽  
Pavlina Pustejovska

In the light of recent developments regarding electric vehicle market share, we assess the carbon footprint and water footprint of electric vehicles and provide a comparative analysis of energy use from the grid to charge electric vehicle batteries in the Czech Republic. The analysis builds on the electricity generation forecast for the Czech Republic for 2015–2050. The impact of different sources of electricity supply on carbon and water footprints were analyzed based on electricity generation by source for the period. Within the Life Cycle Assessment (LCA), the carbon footprint was calculated using the Intergovernmental Panel on Climate Change (IPCC) method, while the water footprint was determined by the Water Scarcity method. The computational LCA model was provided by the SimaPro v. 8.5 package with the Ecoinvent v. 3 database. The functional unit of study was running an electric vehicle over 100 km. The system boundary covered an electric vehicle life cycle from cradle to grave. For the analysis, we chose a vehicle powered by a lithium-ion battery with assumed consumption 19.9 kWh/100 km. The results show that electricity generated to charge electric vehicle batteries is the main determinant of carbon and water footprints related to electric vehicles in the Czech Republic. Another important factor is passenger car production. Nuclear power is the main determinant of the water footprint for the current and future electric vehicle charging, while, currently, lignite and hard coal are the main determinants of carbon footprint.


2014 ◽  
Vol 134 ◽  
pp. 469-476 ◽  
Author(s):  
Maarten Messagie ◽  
Jan Mertens ◽  
Luis Oliveira ◽  
Surendraprabu Rangaraju ◽  
Javier Sanfelix ◽  
...  

Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1412 ◽  
Author(s):  
Murillo Barros ◽  
Cassiano Piekarski ◽  
Antonio de Francisco

2016 ◽  
Vol 9 (1) ◽  
pp. 207-215 ◽  
Author(s):  
Bin Hua ◽  
Ning Yan ◽  
Meng Li ◽  
Ya-qian Zhang ◽  
Yi-fei Sun ◽  
...  

To energy-efficiently offset our carbon footprint, we developed a layered H-SOFC with multiple-twinned Ni0.8Co0.2 nanoparticles, achieving three milestones: CO2 utilization, electricity generation and syngas production.


Energy Policy ◽  
2013 ◽  
Vol 62 ◽  
pp. 493-502 ◽  
Author(s):  
S.M.C. Fairuz ◽  
M.Y. Sulaiman ◽  
C.H. Lim ◽  
S. Mat ◽  
B. Ali ◽  
...  

2011 ◽  
Vol 685 ◽  
pp. 230-238 ◽  
Author(s):  
Bo Xue Sun ◽  
Xian Zheng Gong ◽  
Yu Liu ◽  
Wen Juan Chen ◽  
Zhi Hong Wang

With the increasing seriousness of climate change problem, carbon footprint has become a very useful method to measure carbon emissions and has been widely accepted. In modern industry, electricity is almost consumed in all industry processes, and electricity is the first "footprint" of most products. As carbon emissions is always measured by theoretical estimation from input inventory but not experimental data, the input inventory of electricity generation becomes very important in carbon footprint analysis. Electricity generation is a very complex process, where all input items inter-dependant on each other and the whole system is an infinite cycle net. But in the traditional calculation model of input inventory, the interaction effect of production system is usually neglected. The major work of this study is to make clear the carbon emissions of provision 1kWh thermal power generation to consumers in China in 2006, since thermal power generation takes the most proportion of Chinese electricity. This study used a matrix-based model which includes interaction effect of the system to calculate the input inventory of electricity generation, and then the carbon emissions of thermal electricity generation in China in 2006 can be calculated. The final result of this paper can be used in carbon footprint, Life Cycle Assessment or some other related fields.


BIOCELL ◽  
2018 ◽  
Vol 42 (1) ◽  
pp. 7-11 ◽  
Author(s):  
M. Moustafa ◽  
T. Taha ◽  
M. Elnouby ◽  
M.A. Abu-Saied Aied ◽  
A. Shati ◽  
...  

Author(s):  
Harshkumar Patel ◽  
Yogesh Patel

Now-a-days energy planners are aiming to increase the use of renewable energy sources and nuclear to meet the electricity generation. But till now coal-based power plants are the major source of electricity generation. Disadvantages of coal-based thermal power plants is disposal problem of fly ash and pond ash. It was earlier considered as a total waste and environmental hazard thus its use was limited, but now its useful properties have been known as raw material for various application in construction field. Fly ash from the thermal plants is available in large quantities in fine and coarse form. Fine fly ash is used in construction industry in some amount and coarse fly ash is subsequently disposed over land in slurry forms. In India around 180 MT fly is produced and only around 45% of that is being utilized in different sectors. Balance fly ash is being disposed over land. It needs one acre of land for ash disposal to produce 1MW electricity from coal. Fly ash and pond ash utilization helps to reduce the consumption of natural resources. The fly ash became available in coal based thermal power station in the year 1930 in USA. For its gainful utilization, scientist started research activities and in the year 1937, R.E. Davis and his associates at university of California published research details on use of fly ash in cement concrete. This research had laid foundation for its specification, testing & usages. This study reports the potential use of pond-ash and fly-ash as cement in concrete mixes. In this present study of concrete produced using fly ash, pond ash and OPC 53 grade will be carried. An attempt will be made to investigate characteristics of OPC concrete with combined fly ash and pond ash mixed concrete for Compressive Strength test, Split Tensile Strength test, Flexural Strength test and Durability tests. This paper deals with the review of literature for fly-ash and pond-ash as partial replacement of cement in concrete.


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