scholarly journals Cutting the Carbon from Concrete

2020 ◽  
Vol 142 (02) ◽  
pp. 38-43
Author(s):  
R.P. Siegel
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Carbon Dioxide Emissions ◽  
Major Contributor ◽  
Research Teams ◽  
Concrete Production ◽  
The World ◽  
The Impact ◽  
Global Carbon

Abstract The production of concrete is responsible, by some estimates, for as much as 10 percent of global carbon dioxide emissions, enough to be considered a major contributor. Given the impact that has now become apparent, research teams around the world are pursuing a number of impressive and effective technologies to reduce the carbon footprint of concrete production and use as a top priority. Some are being deployed cost-effectively today, while other, potentially even better solutions, are being developed in labs. This article delves deeper into some of these solutions and the challenges in their adoption.

scholarly journals Carbon Footprint Estimation of A Medium-Sized School in an Urban City

2020 ◽  
Vol 06 (09) ◽  
pp. 102-118
Author(s):  
Pranav Rao Harish G K and Arunakumar N C
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Carbon Dioxide Emissions ◽  
Third Party ◽  
Major Contributor ◽  
The Third ◽  
Urban City ◽  
Carbon Neutral ◽  
The Third Party ◽  
Potential Methods

National Academy For Learning (NAFL), Bengaluru has been actively working to make the school carbon-neutral under the NAFL Green initiative. The present investigation conform the effort and presents the trajectory for understanding and estimating the carbon footprint of the school, and suggests potential solutions. It uses the GHG Protocol’s Corporate Standard, which categorizes emissions into three scopes based on their source. The study extensively explores each of the three scopes and emission offsets, and reports the carbon footprint of NAFL to be 107030kg CO2e. The major contributor to this is the third-party transportation facility, accounting for almost 75% of the emissions. The trees maintained by the school offset only 1.3% of the carbon dioxide emissions. This indicates that there still remains a huge scope for improvement in the carbon footprint, and so potential methods of reducing the footprint are suggested. Additionally, in order to allow for a similar estimation to be made by others, a python GUI programme is developed. The study concludes that the school needs to address its carbon footprint using the recommended solutions in this study. The study will also hopefully kindle similar studies that can collectively aid in a better understanding of the situation.

scholarly journals Assessment of the impact of COVID-restrictions on the economy of Ukraine and the world

2021 ◽  
Vol 3 (4(59)) ◽  
pp. 46-50
Author(s):  
Serhii Voitko ◽  
Tetiana Mazanko
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Co2 Emissions ◽  
Economic Activity ◽  
Carbon Dioxide Emissions ◽  
Negative Impact ◽  
Economic Research ◽  
Transport Sector ◽  
The World ◽  
The Impact

The object of research is the processes of reducing economic activity in Ukraine and the world during COVID-restrictions, reducing the amount of carbon dioxide emissions in 2020 compared to 2019 by country and in various sectors of the economy. The most topical researches and publications in which the given questions are covered are analyzed. Based on statistical data, the paper shows a slight decline in Ukraine's GDP in 2020. Based on the consideration of the negative impact of quarantine restrictions, it was noted that the type of economic activity (EA) such as passenger transport suffered the most. At the same time, as the production of foreign trade, the performance of retail trade and construction has improved its dynamics. Elsewhere in the world, there has also been a slight economic downturn, while China has been able to maintain a slight increase in GDP. For 2021, there is a positive outlook for economic growth. The introduction of lockdowns and quarantine restrictions has led to a simultaneous reduction in CO2 emissions worldwide and reduced the negative impact on the environment. Thanks to the data of carbon dioxide emissions monitoring, it is possible to see a significant reduction in emissions since the beginning of COVID-restrictions in 2020. At the end of the year, the level of emissions reached almost the same level as before the restrictions, but the total volume for the year decreased significantly. If to look at the sectors, the largest amount of carbon dioxide emissions decreased in the aviation sector. This also applies to the land transport sector. Peaks of falling CO2 emissions occur in April 2020. The study showed that the reduction in economic activity due to «lockdowns» and quarantine restrictions affected the fall in energy consumption, especially in the aviation and land transport sectors, and this, in turn, led to a reduction carbon dioxide. This duly explains the relationship between declining economic growth and reducing CO2 emissions. The conducted research will be of interest to relevant ministries and departments in terms of their areas of responsibility, relevant organizations dealing with environmental and economic research, specialists who study and use in practice research on socio-economic problems of society.

scholarly journals An Examination of Green Credit Promoting Carbon Dioxide Emissions Reduction: A Provincial Panel Analysis of China

2021 ◽  
Vol 13 (13) ◽  
pp. 7148
Author(s):  
Wenjie Zhang ◽  
Mingyong Hong ◽  
Juan Li ◽  
Fuhong Li
Keyword(s):  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Industrial Structure ◽  
Emissions Reduction ◽  
Green Finance ◽  
Carbon Emissions Reduction ◽  
Negative Effect ◽  
Emissions Intensity ◽  
The Impact

The implementation of green finance is a powerful measure to promote global carbon emissions reduction that has been highly valued by academic circles in recent years. However, the role of green credit in carbon emissions reduction in China is still lacking testing. Using a set of panel data including 30 provinces and cities, this study focused on the impact of green credit on carbon dioxide emissions in China from 2006 to 2016. The empirical results indicated that green credit has a significantly negative effect on carbon dioxide emissions intensity. Furthermore, after the mechanism examination, we found that the promotion impacts of green credit on industrial structure upgrading and technological innovation are two effective channels to help reduce carbon dioxide emissions. Heterogeneity analysis found that there are regional differences in the effect of green credit. In the western and northeastern regions, the effect of green credit is invalid. Quantile regression results implied that the greater the carbon emissions intensity, the better the effect of green credit. Finally, a further discussion revealed there exists a nonlinear correlation between green credit and carbon dioxide emissions intensity. These findings suggest that the core measures to promote carbon emission reduction in China are to continue to expand the scale of green credit, increase the technology R&D investment of enterprises, and to vigorously develop the tertiary industry.

scholarly journals Estimating Causal Effects When the Treatment Affects All Subjects Simultaneously: An Application

2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Chiara Binelli
Keyword(s):  
Machine Learning ◽  
Carbon Dioxide ◽  
Global Warming ◽  
Carbon Dioxide Emissions ◽  
Control Group ◽  
Sources Of Information ◽  
Average Global Temperature ◽  
Causal Impact ◽  
The Impact ◽  
Robust Evidence

Several important questions cannot be answered with the standard toolkit of causal inference since all subjects are treated for a given period and thus there is no control group. One example of this type of questions is the impact of carbon dioxide emissions on global warming. In this paper, we address this question using a machine learning method, which allows estimating causal impacts in settings when a randomized experiment is not feasible. We discuss the conditions under which this method can identify a causal impact, and we find that carbon dioxide emissions are responsible for an increase in average global temperature of about 0.3 degrees Celsius between 1961 and 2011. We offer two main contributions. First, we provide one additional application of Machine Learning to answer causal questions of policy relevance. Second, by applying a methodology that relies on few directly testable assumptions and is easy to replicate, we provide robust evidence of the man-made nature of global warming, which could reduce incentives to turn to biased sources of information that fuels climate change skepticism.

scholarly journals Decarbonization of Residential Building Energy Supply: Impact of Cogeneration System Performance on Energy, Environment, and Economics

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2538
Author(s):  
Praveen K. Cheekatamarla
Keyword(s):  
Carbon Dioxide ◽  
Power Generation ◽  
Energy Consumption ◽  
Carbon Footprint ◽  
Residential Buildings ◽  
Building Energy ◽  
Primary Energy ◽  
Primary Energy Consumption ◽  
Cogeneration System ◽  
The Impact

Electrical and thermal loads of residential buildings present a unique opportunity for onsite power generation, and concomitant thermal energy generation, storage, and utilization, to decrease primary energy consumption and carbon dioxide intensity. This approach also improves resiliency and ability to address peak load burden effectively. Demand response programs and grid-interactive buildings are also essential to meet the energy needs of the 21st century while addressing climate impact. Given the significance of the scale of building energy consumption, this study investigates how cogeneration systems influence the primary energy consumption and carbon footprint in residential buildings. The impact of onsite power generation capacity, its electrical and thermal efficiency, and its cost, on total primary energy consumption, equivalent carbon dioxide emissions, operating expenditure, and, most importantly, thermal and electrical energy balance, is presented. The conditions at which a cogeneration approach loses its advantage as an energy efficient residential resource are identified as a function of electrical grid’s carbon footprint and primary energy efficiency. Compared to a heat pump heating system with a coefficient of performance (COP) of three, a 0.5 kW cogeneration system with 40% electrical efficiency is shown to lose its environmental benefit if the electrical grid’s carbon dioxide intensity falls below 0.4 kg CO2 per kWh electricity.

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