scholarly journals Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7532
Author(s):  
George Halkos ◽  
Kyriaki Tsilika
Keyword(s):  
Energy Consumption ◽  
Visual Analytics ◽  
Energy Use ◽  
Visual Exploration ◽  
Dependence Structure ◽  
Low Carbon ◽  
Pollution Effects ◽  
Cross Sectional ◽  
Systematic Analysis ◽  
Over Time

The paper places emphasis on primary energy resources, their covariation, and their correlation with socioeconomic factors and aims to provide a systematic analysis of their development over time. The analysis uses evidence from European Union (EU) country-level data and is based on visual analytics techniques. Different results from the same territories show that energy consumption does not always reflect or is due to climatological or meteorological conditions. Extensive use of visualization is adopted as a means of contributing to the understanding of energy use, some involved problems and concepts, and energy consumption trends over time. We present an approach that addresses the informatics challenges based on the integration of visualization software, data integration, and cluster analysis. Our cross-sectional energy review advocates that EU energy leaders are moving towards a low-carbon economy. The correlations of energy variables with economic and pollution effects are stronger in greater levels of energy use, which means that energy use has an obvious impact on economic growth and the environment. Visual and automated methods employed for the analysis, reveal the direction, the strength, and the nature of the dependence structure, in clusters covering the range of energy use in EU 28 countries.

scholarly journals The Relationship between Financial Development and Renewable Energy Consumption in South Asian Countries

2021 ◽  
Author(s):  
Sakib Amin ◽  
Farhan Khan ◽  
Ashfaqur Rahman
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Financial Development ◽  
Energy Use ◽  
Green Energy ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Cross Sectional ◽  
Long Run ◽  
Cointegration Tests

Abstract We analyse how the financial development and green energy use are linked to the countries of South Asia from 1990 to 2018. Domestic credit to the private sector and renewable energy consumption is being used in this paper as indicators of financial development and the use of renewable energy. On the indication of cross-sectional dependency among the variables of the models, we apply second generation panel unit root tests and cointegration tests to check the stationarity properties and long-run cointegration relation among the variables. We find that variables are stationary at the first difference, and long-run cointegration exists. By applying robust dynamic heterogeneous and cross-section augmented estimators, we find that increase in GDP increases renewable energy consumption by 1.56-0.50%; however reduces by 0.07-0.03% after certain thresholds. Furthermore, increase in financial development, on average, reduces the propensity of renewable energy consumption by 0.15-0.07% in the long-run. On the other hand, the Dumitrescu-Hurlin panel causality test shows a unidirectional relationship from GDP to financial development and financial development to renewable energy consumption but not vice versa. We suggest that the selected countries revisit and restructure the renewable energy policy and emphasise institutional reforms to strengthen renewable energy development in the upcoming years.

scholarly journals Benchmarking Energy Use at University of Almeria (Spain)

2020 ◽  
Vol 12 (4) ◽  
pp. 1336 ◽  
Author(s):  
Mehdi Chihib ◽  
Esther Salmerón-Manzano ◽  
Francisco Manzano-Agugliaro
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Electricity Consumption ◽  
University Campus ◽  
Cross Sectional ◽  
Heating And Cooling ◽  
Weather Factor ◽  
Macro Scale ◽  
Cooling Degree Days ◽  
The University

Several factors impact the energy use of university campus buildings. This study aims to benchmark the energy use in universities with Mediterranean climates. The University of Almeria campus was used as a case study, and different types of buildings were analyzed. The second goal was to model the electricity consumption and determinate which parameter correlate strongly with energy use. Macro-scale energy consumption data during a period of seven years were gathered alongside cross-sectional buildings information. Eight years of daily outdoor temperature data were recorded and stored for every half hour. This dataset was eventually used to calculate heating and cooling degree-days. The weather factor was recognized as the variable with the greatest impact on campus energy consumption, and as the coefficient indicated a strong correlation, a linear regression model was established to forecast future energy use. A threshold of 8 GWh has been estimated as the energy consumption limit to be achieved despite the growth of the university. Finally, it is based on the results to inform the recommendations for decision making in order to act effectively to optimize and achieve a return on investment.

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 Visualizing demographic evolution using geographically inconsistent census data

2018 ◽  
Author(s):  
Fabio Dias ◽  
Daniel Silver
Keyword(s):  
Visual Analytics ◽  
Census Data ◽  
Demographic Data ◽  
Visual Exploration ◽  
Demographic Groups ◽  
Inconsistent Data ◽  
The Usa ◽  
Video Abstract ◽  
Demographic Evolution ◽  
Over Time

Video Abstract: https://youtu.be/bKeV08Os0uA Census measurements provide reliable demographic data going back centuries. However, their analysis is often hampered by the lack of geographical consistency across time. We propose a visual analytics system that enables the exploration of geographically inconsistent data. Our method also includes incremental developments in the representation, clustering, and visual exploration of census data, allowing an easier understanding of the demographic groups present in a city and their evolution over time. We present the feedback of experts in urban sciences and sociology, along with illustrative scenarios in the USA and Canada.

Low-Carbon Life and Low-Carbon Industries Association Studies: Example from Household Energy Consumption

2012 ◽  
Vol 573-574 ◽  
pp. 890-896
Author(s):  
Yong Qiao
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Association Studies ◽  
Population Sample ◽  
Low Carbon ◽  
High Carbon ◽  
Household Energy ◽  
Urban Households ◽  
Rural And Urban ◽  
Household Energy Use

Low-carbon industries and people's lives are interrelated. A survey was conducted with a population sample of 100 households. This paper compared the rural and urban households’ energy consumption. It was found that the household energy-use is complex. The urban households’ energy use has a high-carbon tendency. The rural households’ energy consumption is relatively low-carbon, but their energy consumption behaviors are gradually being abandoned. Whether the consumer chooses a low-carbon lifestyle or not, it does not relate to his idea but to the industries. With the economic level improving, all households may choose electricity only. If the Power industry is not low carbon, the life of people can't be low carbon. The article focuses on the energy industry and concerns that low-carbon life is driven by low-carbon industries.

scholarly journals Konsumsi Energi dan Pembangunan Ekonomi di Asia Tenggara

2011 ◽  
Vol 12 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Jahen Fachrul Rezki
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Energy Demand ◽  
Alternative Energy ◽  
Energy Use ◽  
Cross Sectional ◽  
Study Find ◽  
High Dependency ◽  
Efficient Alternative ◽  
The Relationship

Economic development in the SouthEast Asia, which is at the stage of industrialization, has high dependency on energy consumption. This paper examines the relationship between energy consumption and economic development in the region. Using cross-sectional data, this study find the relationship between energy demand ­and per capita GDP, population and industrial share of output. Oil contributes 80% to energy consumption followed by electricity and natural gas. The result also shows no evidence of relationship between economic crisis and energy consumption. It suggest diversification of energy use and promoting more efficient alternative energy source to increase economic growth.

scholarly journals Does renewable energy consumption contribute to the development of  low-carbon economy? Evidence from China

2021 ◽  
Author(s):  
Tuochen Li ◽  
Ziyi Shi ◽  
Dongri Han
Keyword(s):  
Economic Development ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Use ◽  
Green Economy ◽  
Low Carbon ◽  
Renewable Energy Consumption ◽  
Low Carbon Economy ◽  
Development Level ◽  
Carbon Economy

Abstract Stimulating renewable energy consumption has become a major strategic choice for China to both fulfill the international commitment to reduce carbon emissions and realize the high-quality growth of the domestic economy. On account of the provincial data during the period of 2000 to 2017, we creatively incorporate the ecological footprint into the measurement of low-carbon economy development level through super-efficient SBM model, so as to infer the coordinated development level of 3E system more precisely. Based on factor substitution effect, energy path dependence effect and scale effect, the complex nonlinear relationship between the two core research objects is further probed by constructing the threshold regressive model. On the foundation of heoretical research, the consumption of renewable energy, the intensity of energy use and the level of regional economic development are respectively selected as the moderating variables of the model. Further, we divide different intervals of threshold values to distinguish the differences in the effects caused by regional heterogeneity. The following conclusions are drawed ultimately: There is an apparent threshold effect between the renewables consumption and the advancement of low-carbon economy. Only when the renewable itself reaches a higher level of consumption, can it show a significant advantage in green economic development. In addition, to make full use of the renewable resources to boost low-carbon and green economy, it is necessary to reduce the economy's dependence on energy, that is, to decrease the intensity of energy use, while maintaining the process of improving coordination of regional economy.

Geographical aspects of the diffusion of passive houses

2013 ◽  
Vol 4 (2) ◽  
pp. 151-156 ◽  
Author(s):  
G. Kozma ◽  
E. Molnár ◽  
K. Czimre ◽  
J. Pénzes
Keyword(s):  
Energy Consumption ◽  
Energy Resources ◽  
Substantial Part ◽  
Renewable Energy Resources ◽  
Passive House ◽  
The Earth ◽  
Passive Houses ◽  
The Individual ◽  
Geographical Locations ◽  
Over Time

Abstract In our days, energy issues belong to the most important problems facing the Earth and the solution may be expected partly from decreasing the amount of the energy used and partly from the increased utilisation of renewable energy resources. A substantial part of energy consumption is related to buildings and includes, inter alia, the use for cooling/heating, lighting and cooking purposes. In the view of the above, special attention has been paid to minimising the energy consumption of buildings since the late 1980s. Within the framework of that, the passive house was created, a building in which the thermal comfort can be achieved solely by postheating or postcooling of the fresh air mass without a need for recirculated air. The aim of the paper is to study the changes in the construction of passive houses over time. In addition, the differences between the geographical locations and the observable peculiarities with regard to the individual building types are also presented.

scholarly journals Changing landscape of nutrition and dietetics research? A bibliographic analysis of top-tier published research in 1998 and 2018

2021 ◽  
pp. 1-10
Author(s):  
Sze Lin Yoong ◽  
Jacklyn Jackson ◽  
Courtney Barnes ◽  
Nicole Pearson ◽  
Taren Swindle ◽  
...  
Keyword(s):  
Research Design ◽  
Dissemination And Implementation ◽  
Cross Sectional ◽  
Bibliographic Analysis ◽  
Type Design ◽  
Study Type ◽  
Nutrition And Dietetics ◽  
Published Research ◽  
Research Type ◽  
Over Time

Abstract Objective: The current study sought to describe and compare study type, research design and translation phase of published research in nutrition and dietetic journals in 1998 and 2018. Design: This was a repeat cross-sectional bibliographic analysis of Nutrition and Dietetics research. All eligible studies in the top eight Nutrition and Dietetics indexed journals in 1998 and 2018 were included. Two independent reviewers coded each study for research design (study type and study design) and translation phase (T0-T4) of the research using seminal texts in the field. Setting: Not relevant. Participants: Not relevant. Results: The number of publications (1998, n 1030; 2018, n 1016) has not changed over time, but the research type, design and translation phases have. The proportion of intervention studies in 1998 (43·8 %) was significantly higher than 2018 (19·4 %). In 2018, more reviews (46·9 % v. 15·6 % in 1998) and less randomised trials (14·3 % v. 37·8 % in 1998) were published. In regard to translation phase, there was a higher proportion of T2–T4 research in 2018 (18·3 % v. 3·8 % in 1998); however, the proportion of T3/T4 (dissemination, implementation and population-level research) research was still low (<3 %). Our sensitivity analysis with the four journals that remained in the top eight journal across the two time periods found no differences in the research type, design and translation phases across time. Conclusions: There was a reduction in intervention and T0 publications, alongside higher publication of clinical study designs over time; however, published T3/T4 research in Nutrition and Dietetics is low. A greater focus on publishing interventions and dissemination and implementation may be needed.

Are neighborhood restaurants related to frequency of restaurant meals and dietary quality?: Prevalence and changes over time in the Multi-Ethnic Study of Atherosclerosis

2021 ◽  
pp. 1-29
Author(s):  
Amy H. Auchincloss ◽  
Jingjing Li ◽  
Kari A. B. Moore ◽  
Manuel Franco ◽  
Mahasin S. Mujahid ◽  
...  
Keyword(s):  
Healthy Eating Index ◽  
Dietary Quality ◽  
Longitudinal Analyses ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Eating Out ◽  
Restaurant Meals ◽  
Sectional Analysis ◽  
Over Time

Abstract Objective: To examine whether the density of neighbourhood restaurants affected the frequency of eating restaurant meals and subsequently affected diet quality. Design: Cross-sectional and longitudinal designs. Structural equation models assessed the indirect relationship between restaurant density (≤3 miles (4.8 km) of participant addresses) and dietary quality (Healthy Eating Index 2010 (HEI)) via the frequency of eating restaurant meals, after adjustment for sociodemographics, select health conditions, region, residence duration and area-level income. Setting: Urbanised areas in multiple regions of the USA, years 2000–2002 and 2010–2012. Participants: Participants aged 45–84 years were followed for 10 years (n 3567). Results: Median HEI (out of 100) was 59 at baseline and 62 at follow-up. Cross-sectional analysis found residing in areas with a high density of restaurants (highest ranked quartile) was associated with 52% higher odds of frequently eating restaurant meals (≥3 times/week, odds ratio [OR]:1.52, 95% confidence interval [CI] 1.18-1.98) and 3% higher odds of having lower dietary quality (HEI lowest quartile<54, OR:1.03,CI:1.01-1.06); associations were not sustained in longitudinal analyses. Cross-sectional analysis found 34% higher odds of having lower dietary quality for those who frequently ate at restaurants (OR:1.34,CI:1.12-1.61); and more restaurant meals (over time increase ≥1 times/week) was associated with higher odds of having worse dietary quality at follow-up (OR:1.21,CI:1.00-1.46). Conclusions: Restaurant density was associated with frequently eating out in cross-sectional and longitudinal analyses but was associated with the lower dietary quality only in cross-sectional analyses. Frequent restaurant meals were negatively related to dietary quality. Interventions that encourage less frequent eating out may improve population dietary quality.

Sign in / Sign up

Export Citation Format

Share Document