• Energy Research
• 2021-2025close
• 7. Clean energy close
• TR close

The major goal of this research paper is to determine the long-run linkage among variables and the impact of civil aviation, energy productivity (efficiency), economic growth (GDP), on ecological footprint through conducting the multivariate regression method, Phillips‑Ouliaris and Engle‑Granger, Jarque – Bera Normality, and Cusum tests from 1970 to 2020. According to results of multivariate regression method, civil aviation, energy efficiency, and economic growth affect the ecological footprint from 1970 to 2020 in France which is coincide with Phillips‑Ouliaris and Engle‑Granger tests. On the contrary, there is no effect of independent variables on dependent variable (ecological footprint) in Finland which is consistent with Phillips‑Ouliaris and Engle‑Granger tests. In this respect, The long-run relation of the model is verified by the cointegration test of Engle-Granger and Phillips-Ouliaris for France. However, there is no long-run co-integration among variables for Finland from 1970-2020. To sum up, empirical results of France is verified EKC hypothesis. However, EKC hypothesis is not verified for Finland.

The present study is motivated by the need to decouple economic growth from environmental degradation given the new wave of chase for higher economic growth trajectories comes with its environmental cost implications, especially among developing blocs like the Emerging 7 (E7) countries. There is a consistent trade-off between economic growth versus environmental quality. Government apparatus are perpetually on the chase for low-carbon emission policies via the pursuit for green economy. To this end, this present study extends the conventional environmental Kuznets curve (EKC) argument by incorporating the role of institution in emerging industrialized economies (E7) and using second-generation panel analysis methods like mean group (MG), augmented mean group (AMG), common correlated effects mean group (CCEMG), and the Dumitrescu and Hurlin causality test for more robust estimates and inferences. To this end, we explore the long-run and causality relationship between economic growth, quadratic form of economic growth, institutional quality, trade flow, investment in energy sector, and financial development in an EKC environment. Empirical analysis established a long-run equilibrium relationship among the outlined variables over the study period. The long-run regression shows the presence of EKC in the E7. Thus, suggesting the preference for GDP growth over environmental quality at the earlier stage of growth curve. Interestingly, investment in energy, trade flow dynamics across the blocs, and financial development dampens the detrimental effect of environmental pollution as we observed negative relationship with the ecological footprint. On the contrary, quality of institution is weak as institutional quality increase (worsen) the quality of environment in the E7 economies. From a policy perspective, this current study proposed the need for more stringent environmental treaties and regulations and promotion of green economy without compromising economic growth. In the conclusion part of the study, more details and specifics about the policy blueprint are presented.

Along with the growth and globalization of the whole world economy since the First Industrial Revolution, the production and use of fossil fuels have led to increased CO2 emissions and, ultimately, significant environmental degradation. The impact of globalization, economic growth, and renewable energy sources on CO2 may show trends with different turning points in developing countries, and estimations may need to follow Fourier-type functions to capture the frequency domain. Therefore, the aim of this study is to examine the effects of renewable energy production, economic globalization, and economic growth on CO2 emissions for Turkey in the period 1971-2006 with Fourier autoregressive distribution lag (ADL) cointegration, DOLS, and Fourier-Granger causality tests. The originality of this study is the estimation of a model of CO2 emissions with a Fourier-type function for the first time. The findings indicate a negative relationship between renewable energy production and CO2 emissions and a positive relationship between economic globalization and economic growth and CO2 emissions. In addition, according to the empirical results, there exists a one-way causality relationship between economic globalization to CO2 and economic globalization to renewable energy production, and there is evidence of a bidirectional causality relationship between economic globalization and economic growth in this study.

Abstract Conventional room air conditioners consume a significant amount of energy, and thereby negatively affect the environment. In this perspective, passive air conditioning systems using phase change material (PCM) are very promising and widely investigated recently. In this study, influence of a PCM-based passive air conditioner on temperature distribution was experimentally studied in a test room under the local tropical climatic conditions. Coconut oil and water were used for latent heat storage and sensible heat storage, respectively. A storage panel was constructed with two openings—an outlet for conditioned air and an inlet for indoor air, then filled with coconut oil or water to create an additional internal thermal mass (ITM) in the room. The storage material was discharged at night in the indoor or outdoor, and stratum air circulation was utilized to provide the conditioned air into the room during diurnal period. Temperature measurements were conducted at five vertical and five horizontal points. The gained results showed that employing ITM heat storage panel in the room reduced peak temperatures and enhanced the thermal environment. Coconut oil ITM provided 0.5 °C lower peak temperature in the occupant zone while greater temperature reductions were observed in the upper zone compared to the reference case. In addition, ITM panel significantly decreased the observed temperature fluctuations throughout a day. This study revealed that ITM-based stratum air circulation can be a profound solution to the existing high energy consumption problem of conventional air conditioners used in the small urban houses under tropical climate.

The purpose of this paper is to research the relation among environmental quality and renewable energy in the RECAI country group. The study used per capita CO2 emission, energy intensity, and Aggregate National Savings as a measure of environmental quality. Other variables used in the study are renewable energy consumption, fossil fuel consumption, GDP per capita, and foreign direct investments. In the study, three different models to see different environmental quality indicators by panel quantile method for 19202090-. According to the results obtained, unlike other models, renewable energy consumption in model 1 positively affects energy intensity in all quantiles. In other words, renewable energy consumption negatively affects environmental quality. In model 1 and model 3, the coefficients of fossil fuel consumption were positive and negative, respectively. Unlike model 2, the coefficient estimates of fossil fuel consumption in model 3 were predominantly negative. Fossil fuel consumption shows a positive effect on environmental quality, which is similar to model 1. Economic growth negatively affects environmental quality in all models. There is a one-way causal relationship from renewable energy consumption to energy intensity and energy intensity to growth.

Abstract Research background: The relationship between the economy and the environment is one of the most frequently encountered issues recently. Today the issue of environmental sustainability is one of the problems faced by countries. Purpose: This study, it is aimed at investigating the relationship between economic and environmental variables. Research methodology: The existence of the environmental Kuznets curve theory, in other words, the inverted U-connection between per capita carbon dioxide emissions, per capita ecological footprint, and per capita GDP in the examples of 10 developing countries is examined. We analyzed annual balanced panel data covering the period 1992–2014 for an inverted U-link between carbon dioxide emissions and ecological footprint and per capita GDP. Westerlund’s cointegration test was applied as a cointegration test. The Common Correlated Effects Mean Group (CCEMG) and Augment Mean Group (AMG) estimator methods were applied for long-term parameter estimation. The Dumitrescu and Hurlin causality test was applied to determine the causal connections. Results: As a result of the study, a positive and significant effect of electricity consumption on carbon dioxide emission was determined in the long term in the model where the ecological footprint is the dependent variable. In the environmental Kuznets curve hypothesis, an inverted U-shaped relationship was determined. That is, the results confirming the existence of the environmental Kuznets curve have been determined. Finally, bidirectional causal links between carbon emissions and economic growth, between carbon dioxide emissions and the square of economic growth, and between carbon dioxide emissions and electricity consumption; It is observed between the ecological footprint and economic growth, between the ecological footprint and the square of economic growth, and between the ecological footprint and electricity consumption. It is expected that this article will make a significant contribution to the literature with the important results obtained by using both an ecological footprint and carbon dioxide emission as dependent variables. Novelty: In this study, unlike other studies, two models were created with both CO2 emissions and the ecological footprint data as environmental variables.

The aim here is to delay the wearing of hoses and in order to store them and use them in the most efficient way that laying-rallying hoses are dried by decreasing their weight. With this study the objective is decreasing inefficient working hours while saving energy and time. Considering real world conditions, drying hoses are subjected to water absorption for 30, 60 and 90 minutes. Trials are executed in a microwave dryer at 120 W, 350 W and 460 W settings and in a conveyor dryer at temperatures 50 °C, 60 °C and 70 °C. Moisture analysis, strength analysis, drying rate, energy consumption, diffusion coefficient and activation energy calculations were made according to the results obtained. It has been observed that minimum consumption of energy and fastest drying occurred with the power level of 460 W in the microwave dryer. When all of the results are evaluated according to trials, it has been noted that since the mechanisms behind the two dryer systems are not similar and drying times and consumption of energies are different, the microwave dryer is more efficient than the conveyor dryer type.

Abstract A method to analyze multi-area optimal power flow in novel energy management systems is proposed and studied in this paper. The studied power network consisted batteries, distributed generators and electric parking lots. A straightforward granular-based method is introduced to maintain the simplicity of the calculations while the independency of areas is preserved. In this case, a three-area power network as a multi-area power network problem is chosen to test and approve the applicability of the proposed method in terms of accuracy, simplicity, preserving independency, and not requiring any control or initial parameters. According to the results, maximum error is 0.0009 pu in the selected case study. Moreover, two valued variables namely operation cost and voltage deviation are selected as the two fundamental objective functions to be analyzed both multi-objectively and solely. Furthermore, in this paper, soon-to-be-indispensable electric vehicle parking lots and distributed generators are also utilized to optimize operation cost (up to 49.28%) as well as voltage deviation (up to 48.99%). Also, the influence of each area on one another in multi-area layout is studied. In one scenario, the third area is equipped with battery and fuel cell to improve voltage deviation of itself (40.42%) as well as first and second area 12% and 15.4%, respectively.