scholarly journals Contribution of air conditioning adoption to future energy use under global warming

2015 ◽  
Vol 112 (19) ◽  
pp. 5962-5967 ◽  
Author(s):  
Lucas W. Davis ◽  
Paul J. Gertler
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Air Conditioning ◽  
Energy Use ◽  
Electricity Consumption ◽  
Future Research ◽  
Low Carbon ◽  
Middle Income ◽  
Global Action

As household incomes rise around the world and global temperatures go up, the use of air conditioning is poised to increase dramatically. Air conditioning growth is expected to be particularly strong in middle-income countries, but direct empirical evidence is scarce. In this paper we use high-quality microdata from Mexico to describe the relationship between temperature, income, and air conditioning. We describe both how electricity consumption increases with temperature given current levels of air conditioning, and how climate and income drive air conditioning adoption decisions. We then combine these estimates with predicted end-of-century temperature changes to forecast future energy consumption. Under conservative assumptions about household income, our model predicts near-universal saturation of air conditioning in all warm areas within just a few decades. Temperature increases contribute to this surge in adoption, but income growth by itself explains most of the increase. What this will mean for electricity consumption and carbon dioxide emissions depends on the pace of technological change. Continued advances in energy efficiency or the development of new cooling technologies could reduce the energy consumption impacts. Similarly, growth in low-carbon electricity generation could mitigate the increases in carbon dioxide emissions. However, the paper illustrates the enormous potential impacts in this sector, highlighting the importance of future research on adaptation and underscoring the urgent need for global action on climate change.

scholarly journals The Impact of Oil Price on Transition Toward Renewable Energy Consumption? Evidence from Russia

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2947
Author(s):  
Rıdvan Karacan ◽  
Shahriyar Mukhtarov ◽  
İsmail Barış ◽  
Aykut İşleyen ◽  
Mehmet Emin Yardımcı
Keyword(s):  
Carbon Dioxide ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Energy Use ◽  
Renewable Energy Sources ◽  
Oil Price ◽  
Future Research ◽  
Renewable Energy Consumption ◽  
The Impact

This research investigates the impact of oil price, income and carbon dioxide emissions on renewable energy consumption in Russia for the data period from 1990 to 2015, using the Vector Error Correction Models and the Canonical Cointegrating Regression method. This article is the only study conducting individual time-series analysis that emphasizes the effect of oil price on renewable energy consumption in the case of Russia. The results of empirical analysis conclude that oil price affects renewable energy consumption negatively. The negative oil price effects on renewable energy use can be interpreted as a sign of issue that stems from higher oil prices and slows the transition from conventional to renewable energy sources. Additionally, we found that there is a positive and statistically significant influence of real GDP per capita as a proxy of income on renewable energy consumption, whereas the carbon dioxide emissions have a negative and statistically insignificant influence on renewable energy consumption. Considering these empirical results, Russia, which has a significant share in energy production in the world, should focus on the use of renewable energy in order to maintain this superiority and its sustainability. The findings of this paper may be useful to policymakers and may help to contribute to existing literature for future research in the case of oil-exporting countries.

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 Consumption of Rail Baltica Project: Regional Aspects of Environmental Impact

2019 ◽  
Vol 16 (1) ◽  
pp. 148-160
Author(s):  
Olga Piterina ◽  
Alexander Masharsky
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Environmental Impact ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
International Energy Agency ◽  
Future Research ◽  
Energy Agency ◽  
Load Rate ◽  
Emissions Intensity

Abstract Research purpose. The high-speed railway (HSR) construction project in the Baltic States is the largest joint infrastructure project since the restoration of independence of Latvia, Lithuania and Estonia. Rail Baltica (RB) is considered as the most energy-efficient project having the lowest environmental impact. However, the issue of energy consumption of the project was not sufficiently addressed either in the investment justification of the RB construction or in the relevant research works regarding the project. The aim of the current research is to determine the indicators of energy consumption and carbon dioxide (CO2) emissions intensity of the Latvian section of RB, since they are the key factors of the quantitative assessment of sustainability. Design/Methodology/Approach. Critical analysis of the academic research works and reports of the official international organizations dedicated to the topic of energy consumption and CO2 emissions of HSR was conducted prior to the calculation of the above-mentioned indicators. The method of calculation based on International Union of Railways (UIC) was used in order to conduct the cluster analysis within the framework of current work. The main points considered are electricity consumption, carbon dioxide emissions, and level of passenger and freight demand. Statistical databases of UIC and International Energy Agency were used. Findings. The calculations carried out by the authors of the given article demonstrate substantial figures of CO2 emissions intensity for Latvian section of the project related to the train load rate and traffic intensity which is evened out only by the CO2 emissions factor in Latvia. Originality/Value/Practical implications. On this basis the authors present the directions for future research required for the development of the effective strategy for the Latvian Republic with the aim of achieving the increase in the RB project’s ecological efficiency.

Development of an Efficient Procedure for Sustainable Low Carbon Cement Manufacturing Process

2015 ◽  
Vol 787 ◽  
pp. 142-146
Author(s):  
Siva Teja Chopperla ◽  
Rajeswari Jupalli ◽  
Deepak Kanraj ◽  
A. Bahurudeen ◽  
M.K. Haneefa ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Manufacturing Process ◽  
Carbon Dioxide Emissions ◽  
Cement Industry ◽  
High Rate ◽  
Effective Control ◽  
Low Carbon ◽  
Efficient Procedure ◽  
Cement Manufacturing

The consumption of Portland cement for the production of concrete is rapidly increasing because of the remarkable growth in the construction worldwide. Cement production is an energy intensive process. The energy consumption by the cement industry is estimated to be about 5% of the total global industrial energy consumption. Manufacturing process of cement consumes enormous quantities of raw materials from limited natural resources at a high rate and leads to their depletion. Due to the dominant use of carbon intensive fuels such as coal, the cement industry is a major emitter of carbon dioxide and other air pollutants. The cement industry contributes about 6 % of global carbon dioxide emissions which is the primary source of global warming. In addition to carbon dioxide emissions, significant amount of nitrogen oxides, sulphur dioxide, carbon monoxide, hydrocarbons and volatile organic compounds are emitted during cement manufacturing and causes severe environmental issues. In this regard, effective control techniques for reduction in carbon dioxide emissions from modern cement industry and an efficient procedure to achieve sustainable cement manufacturing process are discussed in this paper.

Cash for Coolers: Evaluating a Large-Scale Appliance Replacement Program in Mexico

2014 ◽  
Vol 6 (4) ◽  
pp. 207-238 ◽  
Author(s):  
Lucas W. Davis ◽  
Alan Fuchs ◽  
Paul Gertler
Keyword(s):  
Energy Efficient ◽  
Carbon Dioxide Emissions ◽  
Air Conditioning ◽  
Large Scale ◽  
Energy Use ◽  
Electricity Consumption ◽  
Program Cost ◽  
Air Conditioners ◽  
Household Level ◽  
The Universe

This paper evaluates a large-scale appliance replacement program in Mexico that from 2009 to 2012 helped 1.9 million households replace their old refrigerators and air conditioners with energy-efficient models. Using household-level billing records from  the universe of Mexican residential customers, we find that refrigerator replacement reduces electricity consumption by 8 percent, about one-quarter of what was predicted by ex ante analyses. Moreover, we find that air conditioning replacement actually increases electricity consumption. Overall, we find that the program is an expensive way to reduce externalities from energy use, reducing carbon dioxide emissions at a program cost of over $500 per ton. (JEL L68, L94, O12, O13, Q41, Q54)

scholarly journals Carbon Dioxide Emissions, Energy Consumption and Economic Growth: A Comparative Empirical Study of Selected Developed and Developing Countries. “The Role of Exergy”

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2668 ◽  
Author(s):  
Raúl Arango-Miranda ◽  
Robert Hausler ◽  
Rabindranarth Romero-Lopez ◽  
Mathias Glaus ◽  
Sara Ibarra-Zavaleta
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Empirical Study ◽  
Carbon Dioxide Emissions ◽  
Energy Intensity ◽  
Trade Openness ◽  
Control Variable ◽  
Future Research

Diverse factors may have an impact in carbon dioxide (CO2) emissions; thus, three main contributors, energy consumption, gross domestic product (GDP) and an exergy indicator are examined in this work. This study explores the relationship between economic growth and energy consumption by means of the hypothesis postulated for the Environmental Kuznets Curve (EKC). Panel data for ten countries, from 1971 to 2014 have been studied. Despite a wide gamma of research on the EKC, the role of an exergy variable has not been tested to find the EKC; for this reason, exergy analysis is proposed. Exergy analyses were performed to propose an exergetic indicator as a control variable and a comparative empirical study is developed to study a multivariable framework with the aim to detect correlations between them. High correlation between CO2, GDP, energy consumption, energy intensity and trade openness are observed, on the other hand not statistically significant values for trade openness and energy intensity. The results do not support the EKC hypothesis, however exergy intensity opens the door for future research once it proves to be a useful control variable. Exergy provides opportunities to analyze and implement energy and environmental policies in these countries, with the possibility to link exergy efficiencies and the use of renewables.

scholarly journals Reduction of CO2 Emissions Due to Energy Use in Crete-Greece

2016 ◽  
Vol 6 (1) ◽  
pp. 23 ◽  
Author(s):  
John Vourdoubas
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Fossil Fuels ◽  
Energy Use ◽  
Heating Oil ◽  
Per Capita ◽  
Reduction Of Co2 ◽  
Negative Growth

Use of fossil fuels in modern societies results in CO2 emissions which, together with other greenhouse gases in the atmosphere, increase environmental degradation and climate changes. Carbon dioxide emissions in a society are strongly related with energy consumption and economic growth, being influenced also from energy intensity, population growth, crude oil and CO2 prices as well as the composition of energy mix and the percentage of renewable energies in it.The last years in Greece, the severe economic crisis has affected all sectors of the economy, has reduced the available income of the citizens and has changed the consumers’ behavior including the consumption of energy in all the activities. Analysis of the available data in the region of Crete over the period 2007-2013 has shown a significant decrease of energy consumption and CO2 emissions due to energy use by 25.90% compared with the reduction of national G.D.P. per capita over the same period by 25.45% indicating the coupling of those emissions with the negative growth of the economy. Carbon dioxide emissions per capita in Crete in 2013 are estimated at 4.96 tons. Main contributors of those emissions in the same year were electricity generation from fuel and heating oil by 64.85%, heating sector by 3.23% and transportation by 31.92%.

Calculation of Carbon Dioxide Emission in Nanjing City and its Influencing Factors

2014 ◽  
Vol 665 ◽  
pp. 517-520
Author(s):  
Qiang Zhao ◽  
Xiu Mei Li ◽  
Xiang Yu Cui
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Influencing Factors ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Clean Energy ◽  
Energy Structure ◽  
Low Carbon ◽  
Index Decomposition ◽  
Laspeyres Index

The research estimates the carbon dioxide emissions of energy consumption from 2003 to 2011 using the method in IPCC national greenhouse gases listing guidance, by adopting the method of Kaya identities and Laspeyres index decomposition technique to analyze the influencing factors and the influencing degree. The result shows that the main factors influencing carbon dioxide emissions are energy structure and per capita GDP, and to develop clean energy, to improve energy structure are important choice to reduce the carbon dioxide emissions of energy consumption, realize low carbon in the future. This research provides an important reference to protect the environment and to promote the sustainable development of economy.

China City Industrial Structure Planning and Industry Trends of Low Carbon Economy

2012 ◽  
Vol 573-574 ◽  
pp. 977-983
Author(s):  
Yu Xing Chen ◽  
Hui Luo
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Energy Intensity ◽  
Productivity Index ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Industrial Carbon ◽  
Industrial Energy ◽  
Carbon Economy

The article in had the selection based on industrial energy consumption, industrial energy intensity, industrial carbon dioxide emissions, industrial carbon dioxide Emissions intensity and industrial carbon productivity index analysis such as China's industrial economic development three stages of evolution characteristics of low carbon, and according to the 1985 ~ 2007 China work Industry economic data through the regression analysis forecast industry a low carbon economy future development tendency. The analysis results show that, from 1985 to 2007 years although energy consumption Quantity and industrial carbon emissions overall a growing trend, but the industrial strength of energy consumption declined, industrial carbon production ability enhancement, industrial energy intensity reducing to reduce co2 emissions larger contribution, based on this proposed to promote the development of China's industrial low carbon specific Suggestions.

Analysis of Low Carbon Influence Factors in Power Industry Based on the ISM

2014 ◽  
Vol 675-677 ◽  
pp. 1721-1726 ◽  
Author(s):  
Wei Min Zeng ◽  
Dun Nan Liu ◽  
Yu Hu ◽  
Jiang Ping Liu ◽  
Xian Gui Yang ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Index System ◽  
Carbon Dioxide Emissions ◽  
Power Transmission ◽  
Influence Factors ◽  
Electricity Consumption ◽  
Structural Modeling ◽  
Primary Energy ◽  
Power Industry ◽  
Low Carbon

Electricity as an important way of primary energy consumption, occupy an important position in fossil energy consumption and carbon dioxide emissions. The significance of this development of low carbon electricity and the necessity of establishing a low carbon index system for the smart grid has been described. 10 factors from three links of power generation, power transmission and distribution, electricity consumption in power industry have been summarized. Combined the analysis of interpretative structural modeling to establish adjacency matrix and reachability matrix, the interpretative structural modeling of index system is decomposed to determine basic indicators, intermediate and advanced indicators which impact low carbon benefits. It has been briefly pointed out that application of interpretative structural modeling.

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