scholarly journals A critical review on the environmental impact of manufacturing: a holistic perspective

2021 ◽  
Author(s):  
Vasiliki Christina Panagiotopoulou ◽  
Panagiotis Stavropoulos ◽  
George Chryssolouris
Keyword(s):  
Carbon Dioxide ◽  
Sensitivity Analysis ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Emission Factor ◽  
Carbon Emission ◽  
Electrical Energy ◽  
Emission Factors ◽  
System Level ◽  
Greenhouse Gases Emissions

AbstractManufacturing sector is considered to be the second highest contributor in greenhouse gases emissions in EU, secondary to energy sector. The environmental impact of products, processes, and infrastructures of manufacturing is defined as the mass equivalent of carbon dioxide emissions, also known as carbon footprint, because carbon dioxide accounts for the largest portion of greenhouse gases emissions. The aim of this review is to show the impact of manufacturing on carbon emissions and to investigate the importance of carbon emission factors on the carbon footprint of manufacturing. This was performed via (1) mapping and categorizing the sources of carbon emission at process, machine, and system level; (2) identifying the weight factor of carbon emissions factors via sensitivity analysis; and (3) determining which carbon emission factor has the heaviest contribution in carbon footprint calculation. In all examples of the sensitivity analysis, it was shown that carbon emission factor for electrical energy was the only contributing factor at process level while being the strongest at machine level. At system level, the strongest contributor was the carbon emission factor for material production. To reduce the carbon emissions, one must identify the tuneable parameters at process, machine, and system level, from material, machine tool, and energy point of view. However, the highest reduction in carbon footprint can be achieved by reducing the carbon emission factors of electrical energy using renewable power sources such as solar or wind and by reducing the carbon emission factors for material production using recycling materials as “raw” material.

Research of Calculating Corrugated Board Carbon Footprint Based on Energy Conservation

2012 ◽  
Vol 200 ◽  
pp. 524-527
Author(s):  
He Nian ◽  
Xiao Min Wang ◽  
Xiao Juan Shi
Keyword(s):  
Energy Conservation ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Heat Balance ◽  
Production Line ◽  
Emission Factor ◽  
Carbon Emission ◽  
Corrugated Board ◽  
Indirect Emission ◽  
The Heat Balance

Based on the energy conservation, calculate the carbon footprint of single wall corrugated boards. By calculating the heat balance of each unit in the corrugated board production line, the steam quantity of each unit was calculated and translated into direct carbon emissions; indirect carbon emission was calculated by the electric carbon emission factor. Evaluates to: producing quantitative 140/110/170(g/m2) single wall board for 100m2, the direct and indirect emission of CO2 is 25.4kg and 9.4kg.

scholarly journals Carbon emission factor decomposition and carbon peak prediction based on multi-objective decision and information fusion processing

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Chunxue Shi ◽  
Xiwen Feng
Keyword(s):  
Carbon Dioxide ◽  
Decision Making ◽  
Information Fusion ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Emission Factor ◽  
Carbon Emission ◽  
Multi Objective ◽  
Factor Decomposition ◽  
Carbon Peak

AbstractGlobal warming caused by excessive carbon dioxide emissions has seriously threatened the sustainable development of human society. How to reduce carbon dioxide emissions has become a common problem faced by the international community. This article aims to study the decomposition of carbon emission factors and the prediction of carbon peaks from the perspective of multi-objective decision-making and information fusion processing. The sample collection method and statistical analysis method are used to collect samples and simplify the algorithm. A collection experiment of carbon emission factors based on the industry of City A is designed. The experimental data collection takes into account the conversion of coal and oil products into standard coal and carbon dioxide the resulting emissions impact. The experimental results in this paper show that the simulated and real values of my country’s petroleum carbon emissions have both increased from 2000 to 2015, and the decline will be controlled in 2017. Both the simulated value and the real value of my country's coal carbon emissions have been on the rise from 2000 to 2015, and the decline will be controlled in 2017. The carbon emissions of coal are far greater than those of petroleum. The research on carbon emission factor decomposition and carbon peak prediction based on multi-objective decision-making and information fusion processing has been completed well. The research results can be used for industrial carbon emission factor decomposition and carbon peak prediction in other cities across the country.

scholarly journals Forecasting Carbon Emissions with Dynamic Model Averaging Approach: Time-Varying Evidence from China

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Siqi Xu ◽  
Yifeng Zhang ◽  
Xiaodan Chen
Keyword(s):  
Carbon Dioxide ◽  
Dynamic Model ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Predictive Power ◽  
Carbon Dioxide Emission ◽  
Model Averaging ◽  
Predictive Ability ◽  
Time Varying ◽  
Dynamic Model Averaging

Although energy-related factors, such as energy intensity and energy consumption, are well recognized as major drivers of carbon dioxide emission in China, little is known about the time-varying impacts of other macrolevel nonenergy factors on carbon emission, especially those from macroeconomic, financial, household, and technology progress indicators in China. This paper contributes to the literature by investigating the time-varying predictive ability of 15 macrolevel indicators for China’s carbon dioxide emission from 1982 to 2017 with a dynamic model averaging (DMA) method. The empirical results show that, firstly, the explanatory power of each nonenergy predictor changes significantly with time and no predictor has a stable positive/negative impact on China’s carbon emissions throughout the whole sample period. Secondly, all these predictors present a distinct predictive ability for carbon emission in China. The proportion of industry production in GDP (IP) shows the greatest predictive power, while the proportion of FDI in GDP has the smallest forecasting ability. Interestingly, those Chinese household features, such as Engel’s coefficient and household savings rate, play very important roles in the prediction of China’s carbon emission. In addition, we find that IP are losing its predictive power in recent years, while the proportion of value-added of the service sector in GDP presents not only a leading forecasting weight, but a continuous increasing prediction power in recent years. Finally, the dynamic model averaging (DMA) method can produce the most accurate forecasts of carbon emission in China compared to other commonly used forecasting methods.

Research on the Methods of Reducing Carbon Emissions in Airspace Optimization

2013 ◽  
Vol 718-720 ◽  
pp. 858-862
Author(s):  
Dai Wu Zhu ◽  
Zhi Heng Liu ◽  
Shu Yang ◽  
Jian Guo Xu
Keyword(s):  
Carbon Dioxide ◽  
Regression Analysis ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
International Community ◽  
Saving Energy ◽  
Function Model ◽  
Specific Data

The international community is increasingly concerned about saving energy and less carbon dioxide emissions. But with growing air passenger and cargo traffic, the airspace tension highlights would inevitably lead to the increase in carbon emissions. However, there is little research on the methods of reducing carbon emission in airspace optimization. So this paper does some research in this field. Firstly this paper provides and exemplifies the method for decreasing the carbon emissions in airspace optimization. Secondly it puts forward the BPR function model to estimating the amount of carbon emissions of the method of increasing the number of air routes and uses the Regression analysis to confirm the parameters αβ. At last utilizing the specific data testifies the huge contribution of reducing the amount of carbon emissions from airspace optimization.

scholarly journals Global Research on Carbon Emissions: A Scientometric Review

2019 ◽  
Vol 11 (14) ◽  
pp. 3972 ◽  
Author(s):  
Lebunu Hewage Udara Willhelm Abeydeera ◽  
Jayantha Wadu Mesthrige ◽  
Tharushi Imalka Samarasinghalage
Keyword(s):  
Climate Change ◽  
United States ◽  
Carbon Dioxide ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Research Work ◽  
The United States ◽  
Scientometric Analysis ◽  
Carbon Reduction ◽  
Global Research

Greenhouse gases such as sulfur dioxide, nitrogen dioxide, and carbon dioxide have been recognized as the prime cause of global climate change, which has received significant global attention. Among these gases, carbon dioxide is considered as the prominent gas which motivated researchers to explore carbon reduction and mitigation strategies. Research work on this domain expands from carbon emission reporting to identifying and implementing carbon mitigation and reduction strategies. A comprehensive study to map global research on carbon emissions is, however, not available. Therefore, based on a scientometric analysis method, this study reviewed the global literature on carbon emissions. A total of 2945 bibliographic records, from 1981 to 2019, were extracted from the Web of Science core collection database and analyzed using techniques such as co-author and co-citation analysis. Findings revealed an increasing trend of publications in the carbon emission research domain, which has been more visible in the past few years, especially during 2016–2018. The most significant contribution to the domain was reported from China, the United States, and England. While most prolific authors and institutions of the domain were from China, authors and institutions from the United States reported the best connection links. It was revealed that evaluating greenhouse gas emissions and estimating the carbon footprint was popular among the researchers. Moreover, climate change and environmental effects of carbon emissions were also significant points of concern in carbon emission research. The key findings of this study will be beneficial for the policymakers, academics, and institutions to determine the future research directions as well as to identify with whom they can consult to assist in developing carbon emission control policies and future carbon reduction targets.

scholarly journals Carbon Footprint Analysis of Bamboo Scrimber Flooring—Implications for Carbon Sequestration of Bamboo Forests and Its Products

Forests ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 51 ◽  
Author(s):  
Lei Gu ◽  
Yufeng Zhou ◽  
Tingting Mei ◽  
Guomo Zhou ◽  
Lin Xu
Keyword(s):  
Carbon Sequestration ◽  
Carbon Cycling ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Carbon Stocks ◽  
Bamboo Forest ◽  
Carbon Footprints ◽  
Production Processes ◽  
Bamboo Scrimber

Bamboo forest is characterized by large carbon sequestration capability and it plays an important role in mitigating climate change and global carbon cycling. Previous studies have mostly focused on carbon cycling and carbon stocks in bamboo forest ecosystems, whereas the carbon footprints of bamboo products have not received attention. China is the largest exporting country of bamboo flooring in the world. Estimating the carbon footprint of bamboo flooring is of essential importance for the involved enterprises and consumers to evaluate their own carbon footprints. In this study, we investigated the production processes of bamboo scrimber flooring for outdoor use, a typical bamboo flooring in China. Based on business-to-business (B2B) evaluation method, we assessed CO2 emission and carbon transfer ratio in each step of the production process, including transporting bamboo culms and producing and packing the products. We found that to produce 1 m3 of bamboo scrimber flooring, direct carbon emissions from fossil fuels during transporting raw materials/semi-finished products, from power consumptions during production, and indirect emissions from applying additives were 30.94 kg CO2 eq, 143.37 kg CO2 eq, and 78.34 kg CO2 eq, respectively. After subtracting the 267.54 kg CO2 eq carbon stocks in the product from the 252.65 kg CO2 eq carbon emissions derived within the defined boundary, we found that the carbon footprint of 1 m3 bamboo scrimber flooring was −14.89 kg CO2 eq. Our results indicated that the bamboo scrimber flooring is a negative carbon-emission product. Finally, we discussed factors that influence the carbon footprint of the bamboo flooring and gave suggestions on carbon emission reduction during production processes. This study provided a scientific basis for estimating carbon stocks and carbon footprints of bamboo products and further expanded knowledge on carbon cycling and lifespan of carbon in the bamboo forest ecosystem.

Accounting for carbon emissions associated with tourism-related consumption

2018 ◽  
Vol 24 (5) ◽  
pp. 510-525 ◽  
Author(s):  
Meiwei Tang ◽  
Shouzhong Ge
Keyword(s):  
Carbon Dioxide ◽  
Gross Domestic Product ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Value Added ◽  
Total Carbon ◽  
Low Carbon ◽  
Input Output ◽  
Output Table ◽  
Goods And Services

This article explores the issues of carbon dioxide (CO2) emissions resulting from the production of the goods and services provided to supply tourism consumption. First, we define the scope of tourism activities and the resulting tourism consumption and tourism direct gross value added (TDGVA). Second, we calculate CO2 emissions for sectors and compile a carbon input-output table (CIOT). Third, we adjust the tourism-related products consumed according to the range of the corresponding sectors of the CIOT. Finally, we use Shanghai as an example to calculate the carbon emissions that result from tourism consumption using the input-output model. This study shows that the TDGVA accounted for 7.97% of the Gross Domestic Product (GDP) in 2012, whereas the carbon footprint of tourism accounted for 20.45% of total carbon emissions. The results demonstrate that tourism is not a low-carbon industry in Shanghai.

scholarly journals Analysis on carbon footprint: A case study of Gorkhapatra national daily in Nepal

2021 ◽  
Vol 4 (1) ◽  
pp. 42-49
Author(s):  
Anukram Sharma ◽  
Khem N Poudyal ◽  
Nawraj Bhattarai
Keyword(s):  
Fuel Consumption ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Raw Materials ◽  
Global Climate ◽  
Total Carbon ◽  
Daily Newspaper ◽  
The Cost

Study of carbon footprint is an emerging field which provides statistical analysis about the contribution of an activity on global climate change. Every human activity in daily life is achieved at the expense of those substances which directly or indirectly contribute to global warming. In this era of global communication, humans are habitual to know about the ongoing changes in the world. Newspapers are one of the reliable sources for getting updated about the global information. Paper-based newspapers come at the cost of greenhouse gas emissions. So, this article based upon an analysis of carbon footprint of Nepal’s national daily newspaper provides evaluation of each of the following: carbon emission during the manufacturing of raw materials, carbon emission from fuel consumption during transportation of raw materials, carbon emissions during the printing of newspaper and carbon emission from the fuel consumption during the transportation of printed newspaper. During the study period of 2019 A.D., the result shows that the total carbon emission of Gorkhapatra newspaper was found to be 2308.5 kg CO2e per ton. The upshot of this study provides not only thorough information about carbon emissions but also builds a foundation for calculation of carbon emissions from paper used in various sectors.

Carbon Emissions Management Software (CEMS)

2011 ◽  
pp. 413-430
Author(s):  
Graeme Philipson ◽  
Pete Foster ◽  
John Brand
Keyword(s):  
Carbon Dioxide ◽  
United Kingdom ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Western Europe ◽  
Ghg Emissions ◽  
Legal Requirements ◽  
Management Software ◽  
Measurement Monitoring ◽  
The United Kingdom

Carbon Emission Management Software (CEMS) is a new category of software that helps organizations manage and report on their carbon dioxide and other greenhouse gas (GHG) emissions. These measurements are now becoming a legal requirements for many organizations in many countries. The Kyoto Protocol was the first real international attempt to formalize the measurement, monitoring and mitigation of GHG emissions. The recent Copenhagen summit was an attempt to take the agreement further. Many countries, including the United Kingdom, Australia and most of Western Europe, now have legislation based on the GHG Protocol which mandates the reporting of carbon emissions. CEMS products have been developed largely in response to these legally binding requirements.This chapter looks at the evolution of CEMS, and how and why the products are used. It provides a CEMS taxonomy and looks at the main selection and implementation issues.

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