scholarly journals Current Status Investigation and Predicting Carbon Dioxide Emission in Latin American Countries by Connectionist Models

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1916 ◽  
Author(s):  
Mohammad Hossein Ahmadi ◽  
Mohammad Dehghani Madvar ◽  
Milad Sadeghzadeh ◽  
Mohammad Hossein Rezaei ◽  
Manuel Herrera ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Latin American ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Least Square ◽  
Current Status ◽  
Support Vector ◽  
Human Beings ◽  
Connectionist Models ◽  
Latin American Countries

Currently, one of the biggest concerns of human beings is greenhouse gas emissions, especially carbon dioxide emissions in developed and under-developed countries. In this study, connectionist models including LSSVM (Least Square Support Vector Machine) and evolutionary methods are employed for predicting the amount of CO 2 emission in six Latin American countries, i.e., Brazil, Mexico, Argentina, Peru, Chile, Venezuela and Uruguay. The studied region is modelled based on the available input data in terms of million tons including oil (million tons), gas (million tons oil equivalent), coal (million tons oil equivalent), R e w (million tons oil equivalent) and Gross Domestic Product (GDP) in terms of billion U.S. dollars. Moreover, the available patents in the field of climate change mitigation in six Latin American countries, namely Brazil, Mexico, Argentina, Peru, Chile, Venezuela and Uruguay, have been reviewed and analysed. The results show that except Venezuela, all other mentioned countries have invested in renewable energy R&D activities. Brazil and Argentina have the highest share of renewable energies, which account for 60% and 72%, respectively.

scholarly journals Current Status Investigation and Predicting Carbon Dioxide Emission in Latin American Countries by Connectionist Models

2019 ◽  
Author(s):  
Mohammad Hossein Ahmadi ◽  
Mohammad Dehghani Madvar ◽  
Milad Sadeghzadeh ◽  
Mohammad Hossein Rezaei ◽  
Manuel Herrera ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Latin American ◽  
Greenhouse Gas Emission ◽  
Carbon Dioxide Emission ◽  
Least Square ◽  
Current Status ◽  
Support Vector ◽  
Connectionist Models ◽  
Latin American Countries ◽  
Change Mitigation

Nowadays, one of the biggest concern of human being is greenhouse gas emission, especially carbon dioxide emission in developed and under-developing countries. In this study, connectionist models including LSSVM (Least Square Support Vector Machine) and evolutionary methods are employed for predicting the amount of CO2 emission in six Latin American countries, i.e., Brazil, Mexico, Argentina, Peru, Chile, Venezuela, and Uruguay. The studied region is modelled based on the available input data in terms of Million tons including oil (Million tons), gas (Million tons oil equivalent), coal (Million tons oil equivalent), $R_{ew}$ (Million tons oil equivalent), and Gross Domestic Product (GDP) in terms of billion US dollars.} Moreover, the available patents in the fields of climate change mitigation in six Latin American countries namely Brazil, Mexico, Argentina, Peru, Chile, Venezuela, and Uruguay has been reviewed and analyzed. The results show that except Venezuela, all other mentioned countries have invested in renewable energy R&D activities. Brazil and Argentina have the highest share of renewable energies which account for 60% and 72% respectively.

scholarly journals The Increase of Energy Consumption and Carbon Dioxide (CO2) Emission in Indonesia

2018 ◽  
Vol 31 ◽  
pp. 01008 ◽  
Author(s):  
Hadi Sasana ◽  
Annisa Eka Putri
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Population Growth ◽  
Carbon Dioxide Emissions ◽  
Linear Regression Analysis ◽  
Carbon Dioxide Emission ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Fossil Energy

In the last decade, the increase of energy consumption that has multiplied carbondioxide emissions becomes world problems, especially in the developing countries undergoing industrialization to be developed ones like Indonesia. This aim of this study was to analyze the effect of fossil energy consumption, population growth, and consumption of renewable energy on carbon dioxide emission. The method used was multiple linear regression analysis with Ordinary Least Square approach using time series in the period of 1990 - 2014. The result showed that fossil energy consumption and population growth have a positive influence on carbon dioxide emission in Indonesia. Meanwhile, the consumption variable of renewable energy has a negative effect on the level of carbon dioxide emissions produced.

scholarly journals The Impact of Renewable Energy Policies on Carbon Dioxide Emissions in the Latin American countries-A PVAR approach

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Matheus Koengkan
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Latin American ◽  
Environmental Degradation ◽  
Carbon Dioxide Emissions ◽  
Energy Policies ◽  
Auto Regressive ◽  
Renewable Energy Policies ◽  
The Impact ◽  
Latin American Countries

This article analyzes the impact of renewable energy policies on carbon dioxide emissions (CO2) in nine Latin American countries, in a period of 1991 to 2012. The Panel Vector Auto-Regressive (PVAR) was utilized. The results revealed that the renewable energy policies reduce the environmental degradation (CO2 emissions) in -0.0109, and the consumption of renewable energy -0.0231, while the economic growth and consumption oil increase the emissions in 0.9082 and 0.1437 respectively. These empirical findings will help the policymakers develop appropriate renewable energy policies, as well as help to advance the literature that approaches the impact of renewable energy policies on environmental degradation in the Latin America region.

scholarly journals The effect of renewable energy on carbon dioxide emission in Taiwan: Quantile mediation analysis

2021 ◽  
Vol 104 (3_suppl) ◽  
pp. 003685042110585
Author(s):  
Tzu-Kuang Hsu
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Renewable Energy ◽  
Mediation Analysis ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Least Square ◽  
Mediation Effect ◽  
Integrated Method ◽  
The Impact

In this paper, we propose an integrated method, called quantile mediation analysis, which combines quantile regression and mediation analysis, to examine the impact of renewable energy on carbon dioxide emissions, whether connected to or separate from through economic growth, from 1990 to 2018 in Taiwan. The results of this novel approach indicate that Taiwan's renewable energy did not affect carbon dioxide emissions through the mediation effect of economic growth from the period of 1990 to 2018, and that there is only a direct effect from renewable energy to carbon dioxide emissions at any distribution. Moreover, this result is remarkably different from the result of the traditional ordinary least square approach, which shows that Taiwan‘s renewable energy affects carbon dioxide emissions through the partial mediation effect of economic growth. In conclusion, we suggest that the Taiwanese government should increase the use of renewable energy in reducing local and global carbon dioxide emissions.

scholarly journals The development trend and prospect of automobile energy-saving standard system under the goal of peak carbon dioxide emissions

2021 ◽  
Vol 271 ◽  
pp. 02006
Author(s):  
Zheng Tianlei ◽  
Wang Zhao ◽  
Liu Shaohui ◽  
Bao Xiang ◽  
Liu Zhichao ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Energy Saving ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Development Trend ◽  
Developed Countries ◽  
Standard System ◽  
Current Status ◽  
Passenger Cars ◽  
The Development Trend

This paper conducts research on the development trend of automobile energy-saving standard system under China’s goal of peak carbon dioxide emissions by 2030. The research first sorted out the carbon dioxide emission standards and regulations of major automobile developed countries in the world, systematically analyzed the current status of China's automobile energy-saving standard system, and proposed the key problems at this stage. With the goal of peak carbon dioxide emissions as the core, the key tasks for the next phase of the construction of the automotive energy-saving standard system are proposed, including comprehensively promoting the formulation of fuel consumption standards for passenger cars and commercial vehicles from 2025 to 2030, and accelerating the construction of NEV energy-saving standard system.

A STATISTICAL ANALYSIS AND PREDICTION OF CARBON DIOXIDE EMISSION IN HIMACHAL PRADESH, PUNJAB AND HARYANA STATES OF INDIA

Ensemble ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 1-10
Author(s):  
Kartick Mondal ◽  
◽  
Sudipta Sinha ◽  
Pijush Basak ◽  
D P Goswami ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Global Warming ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Himachal Pradesh ◽  
Rate Of Change ◽  
Least Square ◽  
Evolutionary Trend ◽  
Fourth Degree ◽  
Instantaneous Rate

The universe is facing heavily the evil effects of Global warming, which is a burning issue today. With the advancement of civilization, new industries have been set-up to enhance production as per the need of society along with the population explosion. India is familiar as a developing country in the world, and at present, India has a significant contribution to the augmentation of Greenhouse Gases in the environment, which induces global warming. Global warming has serious effects of worsening the environment. It causes the melting of ice, extinction of species, prevalance of several fatal diseases, loss of biodiversity etc. In this paper, we develop a statistical model that analyzes and predicts the trend of emission of Carbon dioxide in Himachal Pradesh, Punjab, and Haryana. For this purpose, we have considered the dataset of 21 years of gas emission and tried to fit a fourth-degree polynomial curve by the least square method. We have tried to sketch a comparative scenario of carbon-dioxide emissions in the chosen states along with the forecast of the long-term evolutionary trend of the emission. The Instantaneous Rate of Change (IROC)analysis has been employed for this purpose. The efficacies of the model have been tested by residual analysis, coefficient of determination R2, and adjusted R2.

scholarly journals The Problem of Carbon Dioxide Emissions from Closed Coal Mine Shafts – The Overview and the Case Study

2016 ◽  
Vol 61 (3) ◽  
pp. 587-600
Author(s):  
Paweł Wrona ◽  
Józef Sułkowski ◽  
Zenon Różański ◽  
Grzegorz Pach
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Mining Area ◽  
Emission Point ◽  
Water Pumping ◽  
Gas Hazard ◽  
Flow Through ◽  
Reporting Procedures

Abstract Greenhouse gas emissions are a common problem noticed in every mining area just after mine closures. However, there could be a significant local gas hazard for people with continuous (but variable) emission of these gases into the atmosphere. In the Upper Silesia area, there are 24 shafts left for water pumping purposes and gases can flow through them hydraulically. One of them – Gliwice II shaft – was selected for inspection. Carbon dioxide emission with no methane was detected here. Changes in emission and concentration of carbon dioxide around the shaft was the aim of research carried out. It was stated that a selected shaft can create two kinds of gas problems. The first relates to CO2 emission into the atmosphere. Possible emission of that gas during one minute was estimated at 5,11 kg CO2/min. The second problem refers to the local hazard at the surface. The emission was detected within a radius of 8m from the emission point at the level 1m above the ground. These kinds of matters should be subject to regular gas monitoring and reporting procedures.

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