scholarly journals IMPACT OF THE RES MICROINSTALLATIONS IN SINGLE-FAMILY HOUSES ON CARBON DIOXIDE EMISSION REDUCTION

2018 ◽  
Vol XX (5) ◽  
pp. 193-199
Author(s):  
Aleksandra Siudek ◽  
Anna M. Klepacka
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Statistical Data ◽  
Renewable Energy Sources ◽  
Carbon Dioxide Emission ◽  
Single Family ◽  
Average Area ◽  
Family Housing ◽  
Annual Reduction

The article is an attempt to estimate the potential of reduction carbon dioxide emissions using microinstallation of renewable energy sources (RES) in single-family housing. Based on the energy demand of the building, statistical data including the average number of single-family buildings built per year and the average area of a single-family building, the forecasted national annual reduction of carbon dioxide emissions resulting from the implementation of microinstallations in single-family buildings was calculated. The research results indicated an annual reduction of carbon dioxide emissions resulting from the use of selected RES microinstallations only in the single-family housing sector at the level of 230,000 t/year.

scholarly journals An outline economic strategy for Indonesia to sustainably meet its electricity and carbon emissions targets

2018 ◽  
Vol 2 (4) ◽  
pp. 39
Author(s):  
Les Duckers ◽  
Uswatun Hasanah
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Renewable Energy ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Oil And Gas ◽  
Renewable Energy Sources ◽  
Carbon Dioxide Emission ◽  
Economic Strategy ◽  
Electrical Generation

Aim:  In this paper we demonstrate an outline strategy for Indonesia to move its electrical generation from fossil fuels to renewable sources in order to reduce carbon dioxide emissions whilst avoiding excessive costs. The modelling here is based on assumed present fossil fuel generating plants.Design / Research methods:  We have modelled a representative electrical generation system based on burning coal, oil and gas, and by replacing retiring stations with photovoltaic cells and wind turbines we have considered the cost and carbon dioxide implications over a 30 year period. Additionally the modelling is extended to increasing the Indonesian installed electrical capacity.Conclusions / findings:  The results show that Indonesia could meet its carbon dioxide emission reduction targets in an economic way by a phased strategy of introducing renewable energy sources. These results are preliminary and will be refined in a future article where we will include the detail of actual existing power stations, with their capacity and anticipated end of life date.Originality / values of the article: There has been, and continues to be, a general resistance to the adoption of renewable energy. This paper shows  the economic benefit that accompanies carbon dioxide reduction thus presents a new aspect to the consideration of carbon reduction, Implications of the research:Indonesia faces difficulties in providing electricity whilst meeting its climate change obligations. This research points to a viable economic strategy which may not only meet those obligations, but actually increase electrical provision across the country.Key words:  Sustainable development, climate change, carbon emissions, renewable energy JEL: C51,L94,Q01,Q42 Doi:

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.

Driving Factors Analysis of Carbon Dioxide Emissions in China Based on STIRPAT Model

2013 ◽  
Vol 734-737 ◽  
pp. 1910-1914 ◽  
Author(s):  
Qiao Zhi Zhao ◽  
Qing You Yan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
Carbon Dioxide Emission ◽  
Urbanization Process ◽  
Stirpat Model ◽  
Factors Analysis ◽  
Secondary Industry

China is developing at relatively high speed, not only the regional development speed should be focused upon, but also the environmental impact of economic growth should be paid attention to, especially the level change of carbon dioxide emission. To some degree, quantity of carbon dioxide emission has become one of the most important indexes for measuring quality of a nations economic growth. Thus, this thesis is trying to analyze the driving relations between economic growth and carbon dioxide. Upon STIRPAT model, ridge regression method and elasticity theory are applied to analyze the influencing factors of carbon dioxide quantity such as the population quantity, Chinas urbanization process, per capita GDP, energy density and the percentage of the secondary industry. Correspondingly, based on the different influencing variables to carbon dioxide emission quantity, needy measures are brought out to control and decrease emissions. Feasible suggestions are trying to improve Chinas economic development quality.

Impact of urbanization on per capita energy use and emissions in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stuti Haldar ◽  
Gautam Sharma
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Population Density ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Energy Use ◽  
Energy Intensity ◽  
Series Data ◽  
Content Type ◽  
Per Capita

Purpose The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India. Design/methodology/approach The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use. Findings Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India. Research limitations/implications The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces. Originality/value There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).

scholarly journals ENERGY-RELATED CARBON DIOXIDE EMISSIONS AND ENVIRONMENTAL EFFICIENCY IN THE EUROPEAN UNION AGRICULTURE: COMPARISON OF DIFFERENT BENCHMARKING TECHNIQUES

2016 ◽  
Vol 38 (3) ◽  
pp. 192-206 ◽  
Author(s):  
Tomas Baležentis ◽  
Daiva Makutėnienė
Keyword(s):  
Carbon Dioxide ◽  
European Union ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Value Added ◽  
The European Union ◽  
Undesirable Output ◽  
Energy Technologies ◽  
Desirable Output ◽  
Low Performance

The literature suggests different approaches towards modelling of the environmental impact caused by the production processes. The present paper attempts to establish a framework for multicriteria comparison of agricultural sectors of the European Union Member States and identify the performance gaps in terms of energy-related carbon dioxide emission. The research relies on the two approaches, viz. the by-production approach and the multi-criteria decision making approach. The environmental performance indicators were evaluated in regards to the desirable output (gross value added), inputs, and the undesirable output (carbon dioxide emission). The results indicate that Slovakia, Estonia, Lithuania, and Hungary should attempt to improve their carbon factors by implementing cleaner energy technologies. The combinations of by-production sub-indices suggest that productivity gains are more important for Sweden, Belgium, Poland, and France. Czech Republic, Latvia, and Finland are specific with low performance in terms of both the intended production and the undesirable output. The MCDM approach identified similar trends in performance as suggested by country ranking and correlation analysis.

scholarly journals Towards A Sustainable Green Design for Next-Generation Networks

2021 ◽  
Author(s):  
Isiaka Ajewale Alimi ◽  
Romilkumar K. Patel ◽  
Akeem O. Mufutau ◽  
Nelson J. Muga ◽  
Armando N. Pinto ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Wireless Networks ◽  
Energy Consumption ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Carbon Dioxide Emission ◽  
Green Energy ◽  
Green Communications ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

Abstract The evolution in the Information and Communications Technologies industry results in excessive energy consumption and carbon dioxide emission in the wireless networks. In this context, energy efficiency in mobile networks has been attracting considerable attention as green communications and operational expenditures reduction depend on it. Although the Internet of Things is to be supported by devices that are low-energy consuming, the power consumption of the huge number to be connected for several applications and services demand significant attention. To offer insights into green communications, this paper reviews various energy efficiency improvement techniques. Also, we consider a hybrid model in which the main grid power and dynamically harvested green energy from renewable energy sources can be leveraged to support the energy demand of the radio access network. In this regard, we reformulate the energy consumption model and consider an energy-efficient power allocation algorithm for green energy optimization. Numerical results show that with resource allocation algorithm exploitation, the energy efficiency can be enhanced. Besides, the amount of the grid energy consumption can be considerably minimized, resulting in the greenhouse gas emissions reduction in the wireless networks.

scholarly journals Analysis of monthly CO2 emission trends for major EU Countries: a time series approach

2021 ◽  
Author(s):  
Marco Quatrosi
Keyword(s):  
Carbon Dioxide ◽  
Crude Oil ◽  
Carbon Dioxide Emissions ◽  
Structural Breaks ◽  
Carbon Dioxide Emission ◽  
Diesel Oil ◽  
Hard Coal ◽  
Eu Countries ◽  
Greenhouse Gasses ◽  
Time Series Approach

<p>The following paper analyses monthly trends for CO<sub>2 </sub>emissions from energy consumption for 31 European countries, four primary fuels (i.e., Crude Oil, Natural Gas, Hard Coal, Lignite) and three secondary fuels (i.e., Gas/Diesel Oil, LPG, Naphta, Petroleum Coke) from 2008 to 2019. Carbon dioxide emission has been estimated following the Reference Approach in the 2006 IPCC Guidelines for National Greenhouse Gasses Inventories. Country-specific (e.g. Tier 2) coefficient were retrieved from the IPCC Emission Factor Database and the UN Common Reporting Framework. Data on fuel consumption (e.g., Gross Inland Deliveries) were taken from the Eurostat database. This paper will fill some knowledge gap analysing monthly trends of carbon dioxide emissions for major EU Countries. As the progressive phase-out of carbon is taking place pretty much in all Europe, Crude Oil exerted the largest amount of carbon dioxide emissions in the period considered. Analysis of selected countries unveiled several clusters within the EU in terms of major source of emissions. As final step, the paper has endeavoured the task of fitting a model for monthly CO<sub>2 </sub>forecasting. The whole series presents two structural breaks and can be explained by an autoregressive model of the first order. Indeed, further speculations on a more appropriate fit and more fuels in the estimation, is demanded to other works.</p>

scholarly journals ESTIMATING ATMOSPHERIC CARBON DIOXIDE EMISSIONS THRESHOLD FOR NIGERIA: A GUIDE FOR ENVIRONMENTAL POLICY

2018 ◽  
Vol 6 (9) ◽  
pp. 178-195
Author(s):  
Aliyu Alhaji Jibrilla
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Atmospheric Carbon Dioxide ◽  
Population Change ◽  
Distributed Lag ◽  
Long Run ◽  
Long Term Effect ◽  
Short Run ◽  
Pollution Emissions

This study empirically evaluates whether Green House Gases (GHGs) significantly increase with the rising population and urban growth in Nigeria. In addition, the study examine whether the energy demand also influences Nigerian contribution of global pollution emissions. The results of the Autoregressive Distributed Lag (ARDL) cointegration test indicated long-run and stable relationships among the variables. For affluence, we find evidence that, in the long run, domestic per capita income significantly increases carbon dioxide emissions and then falls after a certain extreme point, providing evidence of an inverted EKC hypothesis in Nigeria. The EKC finding was further supported by appropriate inverted U test. The results also demonstrated that both urbanisation and population change do not have a long term effect on emissions; although urbanisation seems to significantly raise emissions in the short-run.  Energy demand has been found to have a significantly positive elasticity effect on carbon dioxide emissions both in the long- and short-run. The short-run Granger causality results indicate that, all variables make a short-run adjustment to correct any deviation from the long-run equilibrium. In addition, analysis of the error correction models reveals that all of the variables contribute to their stable long-run relationship.

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