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The paper presents an approach to use the associated gases from geothermal water deposits for electric and thermal energy cogeneration in centralized distribution systems. [ABSTRACT FROM AUTHOR]

The scarcity of marine life caused by shallow waters and pollution has pushed fishermen to venture up to 10 km offshore, where clearer waters offer richer fish resources, but at much higher fuel costs. This situation has caused increased unemployment, so many fishermen have changed professions. This is exacerbated by seasonal variations and resource limitations. This research introduces a fish sensor network (FSN), which is designed to equip floating fish houses (FADs) with network-connected fish sensors. The proposed network allows fishermen to find locations with high fish populations, thereby reducing fuel costs and increasing fishing efficiency. This article presents preliminary findings, identifies potential challenges including natural factors such as wind, waves, currents, corrosion, and radio propagation, as well as man-made obstacles such as traffic density and physical measurements at the research site in Belawan, Indonesia. Additionally, this paper briefly discusses the energy availability that poses further challenges. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Professional Business Review (JPBReview) is the property of Open Access Publications LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BACKGROUND: Monochamus saltuarius is a destructive trunk‐borer of pine forest and an effective dispersal vector for pinewood nematode (PWN), a causative agent of pine wilt disease (PWD), which leads to major ecological disasters. Cold winter temperatures determine insect survival and distribution. However, little is known about the cold tolerance and potential physiological mechanisms of M. saltuarius. RESULTS: We demonstrated that dead Pinus koraiensis trunks do not provide larvae with insulation. The M. saltuarius larvae are freeze‐tolerant species. Unlike most other freeze‐tolerant insects, they can actively freeze extracellular fluid at higher subzero temperatures by increasing their supercooling points. The main energy sources for larvae overwintering are glycogen and the mid‐late switch to lipid. The water balance showed a decrease in free and an increase in bound water of small magnitude. Cold stress promoted lipid peroxidation, thus activating the antioxidant system to prevent cold‐induced oxidative damage. We found eight main pathways linked to cold stress and 39 important metabolites, ten of which are cryoprotectants, including maltose, UDP‐glucose, d‐fructose 6P, galactinol, dulcitol, inositol, sorbitol, l‐methionine, sarcosine, and d‐proline. The M. saltuarius larvae engage in a dual respiration process involving both anaerobic and aerobic pathways when their bodily fluids freeze. Cysteine and methionine metabolism, as well as alanine, aspartate, and glutamate metabolism, are the most important pathways linked to antioxidation and energy production. CONCLUSIONS: The implications of our findings may help strengthen and supplement the management strategies for monitoring, quarantine, and control of this pest, thereby contributing to controlling the further spread of PWD. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

This research explores the dynamics of total electricity generation (TEG) in South Africa through an analysis of data from the International Energy Agency database from 1990 to 2020. A comprehensive examination of various energy sources, including coal, oil, biofuels, nuclear, hydro, solar photovoltaic (PV), solar thermal, and wind, is conducted to ascertain their respective contributions to TEG. Employing the R software environment, the study employs a methodical analytical framework encompassing meticulous data preparation, statistical analysis, and model formulation. The data preparation phase involves intricate processes such as structuring, cleansing, and visualization aimed at eliminating stochastic variables and outliers. Missing data are addressed through the application of the Piecewise Cubic Hermite Interpolating Polynomial method. Subsequent statistical analyses are informed by tests for normality and homogeneity of variance, revealing deviations from normality and disparate variances across energy source groups. Consequently, non‐parametric methodologies such as the Kruskal–Wallis test are adopted. Findings underscore the significant role of nuclear energy in TEG despite facing challenges. Model development entails the construction of multiple linear regression models with varying predictor sizes, with Model m06 emerging as the optimal choice, incorporating key predictors such as coal, nuclear, and solar PV. Rigorous diagnostic assessments confirm the robustness of Model m06 and its suitability for TEG prediction. Comparative analysis against actual data validates its superior performance, characterized by minimal errors and high predictive accuracy. The efficacy of Model m06 in capturing TEG dynamics underscores its utility for informing energy planning initiatives. Recommendations derived from the study advocate for prioritizing renewable energy integration, infrastructure investment, research endeavors, monitoring mechanisms, and public awareness campaigns to advance sustainable energy development goals in South Africa. [ABSTRACT FROM AUTHOR]

The present study delves into a critical concern on the relationship between energy poverty, digital and social development and inclusive growth. The main research hypothesis assumes a positive relationship between these areas, although differences between countries are inevitable. Therefore, the following research questions were asked: Is the impact of the level of energy poverty on inclusive growth the same in different EU countries? How does the use of renewable energy sources in individual countries affect energy poverty and thus inclusive growth? What is the link between energy poverty, digital and social development and inclusive growth in the countries studied. This study uses a critical analysis of the literature and methods of descriptive and mathematical–statistical tools/model. The main conclusions and findings of the analysis reveal that the link between energy poverty, use of renewable energy resources, digital and social development and inclusive growth varies across EU countries. The results of our analyses may be useful, for example, for government decision makers in terms of actions aimed at eliminating energy poverty through the country's use of sustainable energy sources as well as designing and implementing actions aimed at increasing digital and social development, which will then contribute to inclusive growth. [ABSTRACT FROM AUTHOR]

Abstract This research explores the dynamics of total electricity generation (TEG) in South Africa through an analysis of data from the International Energy Agency database from 1990 to 2020. A comprehensive examination of various energy sources, including coal, oil, biofuels, nuclear, hydro, solar photovoltaic (PV), solar thermal, and wind, is conducted to ascertain their respective contributions to TEG. Employing the R software environment, the study employs a methodical analytical framework encompassing meticulous data preparation, statistical analysis, and model formulation. The data preparation phase involves intricate processes such as structuring, cleansing, and visualization aimed at eliminating stochastic variables and outliers. Missing data are addressed through the application of the Piecewise Cubic Hermite Interpolating Polynomial method. Subsequent statistical analyses are informed by tests for normality and homogeneity of variance, revealing deviations from normality and disparate variances across energy source groups. Consequently, non‐parametric methodologies such as the Kruskal–Wallis test are adopted. Findings underscore the significant role of nuclear energy in TEG despite facing challenges. Model development entails the construction of multiple linear regression models with varying predictor sizes, with Model m06 emerging as the optimal choice, incorporating key predictors such as coal, nuclear, and solar PV. Rigorous diagnostic assessments confirm the robustness of Model m06 and its suitability for TEG prediction. Comparative analysis against actual data validates its superior performance, characterized by minimal errors and high predictive accuracy. The efficacy of Model m06 in capturing TEG dynamics underscores its utility for informing energy planning initiatives. Recommendations derived from the study advocate for prioritizing renewable energy integration, infrastructure investment, research endeavors, monitoring mechanisms, and public awareness campaigns to advance sustainable energy development goals in South Africa.

The steel industry is considered an important basic sector of the national economy, and its high energy consumption and carbon emissions make it a major contributor to climate change, especially in China. The majority of crude steel in China is produced via the energy- and carbon-intensive blast furnace–basic oxygen furnace (BF–BOF) route, which greatly relies on coking coal. In recent years, China’s steel sector has made significant progress in energy conservation and emission reduction, driven by decarbonization policies and regulations. However, due to the huge output of crude steel, the steel sector still produces 15% of the total national CO2 emissions. The direct reduced iron (DRI) plus scrap–electric arc furnace (EAF) process is currently considered a good alternative to the conventional route as a means of reducing CO2 emissions and the steel industry’s reliance on iron ore and coking coal, since the gas-based DRI plus scrap–EAF route is expected to be more promising than the coal-based one. Unfortunately, almost no DRI is produced in China, seriously restricting the development of the EAF route. Here, we highlight the challenges and pathways of the future development of DRI, with a focus on China. In the short term, replacing natural gas with coke oven gas (COG) and byproduct gas from the integrated refining and chemical sector is a more economically feasible and cleaner way to develop a gas-based route in China. As the energy revolution proceeds, using fossil fuels in combination with carbon capture, utilization, and storage (CCUS) and hydrogen will be a good alternative due to the relatively low cost. In the long term, DRI is expected to be produced using 100% hydrogen from renewable energy. Both the development of deep processing technologies and the invention of a novel binder are required to prepare high-quality pellets for direct reduction (DR), and further research on the one-step gas-based process is necessary.

The impacts that the available energy sources have had on society, the environment, and the economy have become a focus of attention in recent years, generating polarization of opinions. Understanding these impacts is crucial for rational evaluation and the development of strategies for economic growth and energy security. This review examines such impacts of the main energy resources currently exploited or in development, including fossil fuels, geothermal, biomass, solar, hydropower, hydrogen, nuclear, ocean, and wind energies on society through analysis and comparison. It is essential to consider how high energy demand influences energy prices, the workforce, and the environment and to assess the advantages and disadvantages of each energy source. One significant finding from this review is that the levelized cost of energy (LCOE) may vary substantially depending on the energy source used and show substantial ranges for different applications of the same energy source. Nuclear energy has the lowest LCOE range whereas ocean energy has the highest LCOE range among the nine energy sources considered. Fossil fuels were found to have the most substantial societal impacts, which involved on the positive side providing by far the largest number of jobs and highest tax revenues. However, on the negative side, fossil fuels, biomass, and nuclear energy sources pose the most significant health threats and social well-being impacts on communities and societies compared to other energy sources. On the other hand, solar, ocean and wind energy pose the lowest risk in terms of health and safety, with solar and wind also currently providing a substantial number of jobs worldwide. Regarding environmental consequences, fossil fuels generate the highest greenhouse gas (GHG) emissions and have the highest adverse impacts on ecosystems. In contrast, nuclear, ocean, solar and wind energies have the lowest GHG emissions and low to moderate impacts on ecosystems. Biomass, geothermal and hydropower energy sources have moderate to high ecosystem impacts compared to the other energy sources. Hydropower facilities require the most materials (mainly concrete) to build per unit of energy generated, followed by wind and solar energy, which require substantial steel and concrete per unit of energy generated. The lack of substantial materials recycling causes associated with solar and wind energy sources. All the energies that use thermal power generation process consume substantial quantities of water for cooling. The analysis and comparisons provided in this review identified that there is an urgent need to transition away from large-carbon-footprint processes, particularly fossil fuels without carbon capture, and to reduce the consumption of construction materials without recycling, as occurs in many of the existing solar and wind energy plants. This transition can be facilitated by seeking alternative and more widely accessible materials with lower carbon footprints during manufacturing and construction. Implementing such strategies can help mitigate climate change and have a positive impact on community well-being and economic growth. [ABSTRACT FROM AUTHOR]

This review aims to analyze recent advancements in heat pump dryers (HPDs) with a focus on improving energy efficiency and conservation in drying processes. The objective is to evaluate the components, structures, and refrigerants used in HPDs, examining their environmental impacts and system performance. The methodology includes a comprehensive comparison of various assisted HPD systems, such as infrared-, ultrasound-, and solar-assisted technologies, to assess their experimental benefits and limitations. By using key performance metrics, the paper evaluates the energy efficiencies of HPDs in comparison with traditional drying methods, discussing their applications across different industries. The study also explores the significance of integrating alternative energy sources to enhance the efficiency and economic viability of HPDs. Future research directions are proposed to further develop the technology for commercial use, emphasizing HPDs' potential to provide energy-efficient and high-quality drying solutions. In quantitative terms, the review notes that the coefficient of performance (COP) for HPDs ranges between 3.5 and 4.5, indicating a significant improvement over traditional drying methods. Specific moisture extraction rate (SMER) values for HPDs are reported to be between 0.8 and 1.2 kg kW−1 h−1, demonstrating superior efficiency in moisture removal. Additionally, specific energy consumption (SEC) for HPDs is found to be 0.5–0.7 kW h kg−1 of evaporated moisture, which is substantially lower compared to conventional dryers. These metrics underscore the energy-saving potential and enhanced performance of HPD technology. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Economics & Research (JER) is the property of Journal of Economics & Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Effective design of solar photovoltaic (PV) systems requires accurate meteorological data for solar irradiance, ambient temperature, and wind speed. In this study, we aim to assess the reliability of satellite-based solar resource databases such as NASA, Solcast, and PVGIS by comparing them with ground-based measurements of global horizontal irradiance (GHI) from six locations in the Republic of Ireland. We compared satellite- and ground-based GHI data recorded between 2011 and 2012 and used Python-based packages to simulate solar power output for the six locations using both data types. The simulated outputs were then compared against metered power output from PV arrays at the sites. Ground-based GHI measurements demonstrate superior accuracy due to their acquisition at specific locations, offering increased spatial representativity. On the other hand, satellite GHI measurements, although reasonably accurate for many applications, cover broader regions with lower spatial resolution, leading to averaging effects that may not fully capture localized variations. This difference is reflected in the mean absolute percentage error (MAPE) values, with ground-simulated data showing low MAPE values, indicating strong alignment with reference observations, while satellite-simulated data exhibit a slightly higher MAPE, suggesting less precise estimates despite a strong correlation with ground-based measurements. This study demonstrates the relative reliability of satellite- and ground-based GHI data for accurate solar PV system design, emphasizing the practical implications for energy planners and engineers, and providing a strong enhancement for researchers working on forecasting solar energy yields using satellite databases. The Python-based PVLib package was utilized for the simulation, offering a robust framework for modeling and analyzing solar power systems, and its effectiveness in this context is discussed in detail. [ABSTRACT FROM AUTHOR]

Copyright of Ciência Florestal (01039954) is the property of Ciencia Florestal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We explored the cognitive structure of students in grade 1-grade 4 using word association in three topics (science, energy sources, and health) with six-six keywords (stimulus words) per topic. Based on the common associations given to the stimulus words, we calculated the relatedness coefficient for the stimulus word pairs. This was used to draw a cognitive structure, the conceptual network, characteristic of each group of learners. We found that the verbal version of the word association test is suitable for studying the cognitive structure of young schoolchildren. The typical conceptual network of the student groups shows a strong correlation with the knowledge structure of experts in grade 4 (in all three topics), as well as in grade 1 and grade 3 (in the topic of health). Using word association tests, we have been able to demonstrate that the number and strength of connections in the conceptual networks for groups of learners increases with the learners' grade and their everyday experience of the topic. [ABSTRACT FROM AUTHOR]

Dye-sensitized solar cells with synthesized phenothiazine derivative 3,7′-bis(2-cyano-1-acrylic acid)-10-ethyl-phenothiazine (PTZ) and commercial di-tetrabutylammonium cis-bis(isothiocyanato)bis(2,2′-bipyridyl-4,4′-dicarboxylato)ruthenium(II) (N719) dyes were fabricated and characterized based on current–voltage measurements. The effect of the utilization of individual dyes and its mixture, chenodeoxycholic acid as co-adsorbent addition, replacement of I−/I3− by Co2+/3+ ions in electrolyte and platinum by semiconducting polymer mixture poly(3,4-ethylenedioxythiophene) polystyrene sulfonate in counter electrode was studied. Additionally, the effect of polymer thickness on the photovoltaic performance of the device was evaluated. Prepared photoanodes were characterized by UV–Vis spectroscopy and atomic force microscopy. The further modification of DSSCs involving the fabrication of tandem solar cells was carried out. The higher power conversion efficiency 7.60% exhibited tandem photovoltaic cell sensitized with dyes mixture containing co-adsorbent, I−/I3− ions in the electrolyte, and platinum in the electrode. [ABSTRACT FROM AUTHOR]

Fuel prices are rising, bringing attention to the utilization of alternative energy sources (RES). Even though load forecasting is more accurate at making predictions than wind power forecasting is. To address the operational challenges with the supply of electricity, wind energy forecasts remain essential. A certain kind of technology has recently been applied to forecast wind energy. On wind farms, a variety of wind power forecasting methods have been developed and used. The main idea underlying recurrent networks is parameter sharing across the multiple layers and neurons, which results in cycles in the network's graph sequence. Recurrent networks are designed to process sequential input. A novel hybrid optimization‐based RNN model for wind power forecasting is proposed in this research. Using the SpCro algorithm, a proposed optimization method, the RNN's weights are adjusted. The Crow Search Optimization (CSA) algorithm and the Sparrow search algorithm are combined to form the SpCro Algorithm (SSA). The suggested Algorithm was developed using the crow's memory traits and the sparrow's detecting traits. The proposed system is simulated in MATLAB, and the usefulness of the suggested approach is verified by comparison with other widely used approaches, such as CNN and DNN, in terms of error metrics. Accordingly, the MAE of the proposed method is 45%, 10.02%, 10.04%, 33.58%, 94.81%, and 10.01% higher than RNN, SOA+RNN, CSO+RNN, SSA+DELM, CFU‐COA, and GWO+RNN method. [ABSTRACT FROM AUTHOR]

This study measured how well students can apply critical thinking skills when studying energy source materials in Natural Knowledge Science. In addition, research also reveals the factors that support or hinder the development of participants' critical thinking skills in the context of learning. i The research method used is descriptive qualitative with a survey approach. The research subject is 40 participants enrolled in the IV Grade of SDN Tanggul, Wonoayu District, Sidoarjo Regency, with an institution in the form of a written thesis and an interview with the IV Grade’s teachers of SDN Tanggul. Data analysis uses data reduction, data presentation, and conclusions drawn. The study results showed that, in general, the participants' ability to think critically. Interpretation indicators and analysis show more than good results compared to indicators of inference and evaluation. This indicates that the participants still have difficulties concluding and giving strong reasons to overcome their answers. The study's results also show that efforts to improve participants' critical thinking skills in the IV SDN Tanggul have been carried out but are still limited to conventional learning methods. This research suggests that teachers can use more interactive learning media and varied learning methods in learning science, especially energy source materials. In addition, teachers also need to provide trigger questions so that students can hone critical thinking skills and analyze information in depth. Thus, it is hoped that the ability of the participants to think critically will be improved so that they can face challenges in an increasingly complex era.

The impacts that the available energy sources have had on society, the environment, and the economy have become a focus of attention in recent years, generating polarization of opinions. Understanding these impacts is crucial for rational evaluation and the development of strategies for economic growth and energy security. This review examines such impacts of the main energy resources currently exploited or in development, including fossil fuels, geothermal, biomass, solar, hydropower, hydrogen, nuclear, ocean, and wind energies on society through analysis and comparison. It is essential to consider how high energy demand influences energy prices, the workforce, and the environment and to assess the advantages and disadvantages of each energy source. One significant finding from this review is that the levelized cost of energy (LCOE) may vary substantially depending on the energy source used and show substantial ranges for different applications of the same energy source. Nuclear energy has the lowest LCOE range whereas ocean energy has the highest LCOE range among the nine energy sources considered. Fossil fuels were found to have the most substantial societal impacts, which involved on the positive side providing by far the largest number of jobs and highest tax revenues. However, on the negative side, fossil fuels, biomass, and nuclear energy sources pose the most significant health threats and social well-being impacts on communities and societies compared to other energy sources. On the other hand, solar, ocean and wind energy pose the lowest risk in terms of health and safety, with solar and wind also currently providing a substantial number of jobs worldwide. Regarding environmental consequences, fossil fuels generate the highest greenhouse gas (GHG) emissions and have the highest adverse impacts on ecosystems. In contrast, nuclear, ocean, solar and wind energies have the lowest GHG emissions and low to moderate impacts on ecosystems. Biomass, geothermal and hydropower energy sources have moderate to high ecosystem impacts compared to the other energy sources. Hydropower facilities require the most materials (mainly concrete) to build per unit of energy generated, followed by wind and solar energy, which require substantial steel and concrete per unit of energy generated. The lack of substantial materials recycling causes associated with solar and wind energy sources. All the energies that use thermal power generation process consume substantial quantities of water for cooling. The analysis and comparisons provided in this review identified that there is an urgent need to transition away from large-carbon-footprint processes, particularly fossil fuels without carbon capture, and to reduce the consumption of construction materials without recycling, as occurs in many of the existing solar and wind energy plants. This transition can be facilitated by seeking alternative and more widely accessible materials with lower carbon footprints during manufacturing and construction. Implementing such strategies can help mitigate climate change and have a positive impact on community well-being and economic growth.

Pulsed field ablation (PFA) is an innovative approach in the field of cardiac electrophysiology aimed at treating cardiac arrhythmias. Unlike traditional catheter ablation energies, which use radiofrequency or cryothermal energy to create lesions in the heart, PFA utilizes pulsed electric fields to induce irreversible electroporation, leading to targeted tissue destruction. This state-of-the-art review summarizes biophysical principles and clinical applications of PFA, highlighting its potential advantages over conventional ablation methods. Clinical data of contemporary PFA devices are discussed, which combine predictable procedural outcomes and a reduced risk of thermal collateral damage. Overall, these technological developments have propelled the rapid evolution of contemporary PFA catheters, with future advancements potentially impacting patient care. [ABSTRACT FROM AUTHOR]

The paper examines the relationship between natural resource growth, green economy growth, and energy intensity levels in achieving environmentally friendly economic growth in Asian countries. It analyzes the connections among the number of natural resources, institutional capacity, trade liberalization, and foreign direct investment in China from 2010 to 2022. The study concludes that economies flourish when countries utilize organic and synthetic energy sources, and natural resources can stimulate or impede economic development. A radical adjustment in real estate policies is required to address the growing urgency of reversing environmental degradation and combating climate change. Integration of renewable energy sources, optimization of natural resource usage, and the use of novel financial instruments and investment techniques emerge as pressing needs. The research focuses on whether eco-friendly company practices are associated with long-term economic success in Asian countries. It evaluates the impact of energy intensity on GDP growth and emphasizes the importance of a green economy in promoting sustainable economic growth. The study suggests governments should prioritize improving energy efficiency, promoting renewable energy sources, and supporting environmentally friendly industries for long-term prosperity. The paper highlights the need for Asian authorities to balance rapid economic progress with minimizing negative environmental and natural resource impacts. [ABSTRACT FROM AUTHOR]

With the increasing threat from global warming, renewable energy has been considered an alternative in several forums. Kenya is an emerging economy endowed with renewable energy resources due to its geographical location. This review aims to identify policies guiding the extraction, utilization, challenges, and projection of renewable energy. A systematic approach was used in the study by considering relevant journal articles and other gray documents such as Energy Acts and reports from international and national organizations on renewable energy. The findings show that the energy matrix in Kenya comprises 80 % fossil fuels, 18 % renewable energy and 2 % coal. Over 85 % of the total population utilizes wood biomass, with 86 % in rural areas and 21 % in urban areas. Over 70 % of the Kenyan landmass is Arid and Semi-Arid, which have potential renewable energy. Electricity production in Kenya is produced by approximately 90 % renewable energy but has a target of 100 % transition by 2020. KenGen and IPPs generate 62.97 % and 35.95 % of the electricity generated, respectively. Geothermal energy in Kenya is the highest source of electricity at approximately 45 %. The current amount of electricity connected to the grid is 2708 MW in 2021, with projections of 4763 MW, 6638 MW and 9790 MW in the low, reference and vision scenarios, respectively. By 2022, the percentage of Kenyan who had access to electricity was 76.89 %. It is estimated that, by 2100, the population in Kenya will reach between 80 and 220 million according to projection scenarios. An increase in populations leads to a greater energy demand, which is implicated in climate change. Based on the RCPs, the energy demand outlook shows that RCP2.6 will increase by 2–3 times, while RCP8.5 will increase by 6–8 times the current energy demand. The challenges experienced by renewable energy include inadequate financing, implementation hindrances, inadequate infrastructure and technological challenges, outdated policies, overambitious projects, landscapes affecting transmission, corruption, high operational costs, and energy stacking affecting the process. Regular reviews on energy policies and innovations provide data that can be used to strategize future energy equity and access while maintaining environmental sustainability.

Increasing the share of energy from renewable sources in total energy consumption is a permanent concern for the Member States of the European Union. In this paper we propose to show the present situation of the renewable energy sector in the European Union, namely a statistical analysis of the gross consumption of renewable energy at the level of the European Union during 1990 - 2016, the evolution of the share of renewable energy in gross final consumption of energy in the EU 28 between 2004 and 2016 and a presentation of the renewable energy sector in EU28 member states in 2016.

Abstract Access to reliable and affordable energy is crucial for women to carry out household duties efficiently, including cooking and cleaning. However, many women in developing countries still lack access to modern energy sources, which strains their time, health, and overall well-being. This study investigates the relationship between women’s economic empowerment and energy choices among rural households in the Southern Nations, Nationalities, and Peoples region of Ethiopia. Utilizing a multi-stage cluster sampling design, 569 households were selected from six randomly chosen woredas (districts). Employing a multinomial model, the research explores factors influencing energy source selection. The findings reveal that a majority of households rely on traditional energy sources, with a positive correlation observed between women’s economic empowerment, as measured by the CWEEI, and the adoption of modern energy sources. Additionally, household size and income significantly predict energy source choices. This study underscores the pivotal role of women’s economic empowerment in promoting cleaner energy use in rural settings. Policymakers and program implementers are urged to consider household size and income levels when formulating effective energy programs and interventions.

In order to further reveal the special characteristics of energy metabolism and the characteristics of energy requirements of fattening pigs grown in low-temperature environments, this study used a 2 × 2 × 2 factorial array of treatments, which harnessed two temperatures (low-temperature, LT group: 10 °C; normal-temperature, NT group: 20 °C), two feed energy levels (normal-energy, NE group: 14.02 MJ/kg metabolic energy; high-energy, HE group: 15.14 MJ/kg metabolic energy), and two feed energy sources (LF group: low fat, HF group: high fat). Thirty-two Songliao black fattening pigs with an initial body weight of 85.48 ± 2.31 kg were completely randomized into eight treatment groups, with four replicates in each treatment group and one pig in each replicate. The pigs were placed in a respiratory metabolic chamber for a 6-day trial. There was one pig per respiratory metabolic chamber in a single cage. The results showed that the average daily weight gain in the normal-temperature, high-energy, and high-fat groups was higher than that of the low-temperature, normal-energy, and low-fat groups (p < 0.05). The fat deposition rate, protein oxidation, and fat oxidation of the high-fat group were higher than those of the low-fat group (p < 0.05). The energy digestibility, protein digestibility, and fat digestibility in the high-fat group were higher than those in the normal-energy group (p < 0.05). The fat digestibility and energy deposition rate in the high-fat group were higher than those in the low-fat group (p < 0.05). The respiratory quotient in the high-energy group was lower than that in the normal-energy group (p < 0.05), and the respiratory quotient in the high-fat group was lower than that in the low-fat group (p < 0.05). There was an interaction between temperature and energy sources in terms of the respiratory quotient, fat oxidation, blood urea nitrogen content, and glucose content (p < 0.05). Appropriately increasing the energy level of the diet and improving the energy structure of the feed (increasing the level of fats and oils) will benefit Songliao black fattening pigs by increasing their energy use efficiency and at the same time reducing greenhouse gas CO2 emissions, and these changes are more pronounced in cold environments.

This study provides a comprehensive discussion to determine and investigate the level of knowledge, perception, self-assessment, and attitude of preservice teachers (PST) toward renewable energy (RE), in an emerging and developing country that is heavily reliant on oil and fossil fuels. The significance of the study lies in the need to better understand the role in informing future teachers and their individual perception on the current concept of RE, which is essential to mold individuals into responsible energy consumers. The investigation was administered on 155 respondents 104 (67.1%) of the participants were females, who are pursuing language major courses in education. The study employed a descriptive quantitative design, to quantify and measure a phenomenon or phenomena, such as the overall perception and attitude of PSTs toward renewable energy. To ensure accurate data collection, the study employed a research instrument adapted from [1] exhibiting a good reliability score for interpretation of.678 Cronbach's alpha. Furthermore, Shapiro-Wilk test was employed to test the normality of the distribution of data. Employing one-way ANOVA, the collected data was subjected to statistical analysis. The investigation yielded significant and positive results regarding the RE sources such as solar (64.5%), wind (58.1%), and geothermal (51.6%) which produced a high mean score, which suggests proficiency and expertise in the context of RE. The study revealed that gender has a neutral effect on the results and does not pose any significant difference. [ABSTRACT FROM AUTHOR]

This paper examines patterns and drivers of energy choices for cooking and lighting in South Africa using the Statistics South Africa Census data at the district municipality (districts) level. Employing spatial and ordinary least squares (OLS) regression analysis, the findings show that electricity is the main source of energy for cooking across South Africa. However, there is a large swathe of the country covering districts such as Vhembe and Mopani in Limpopo, eastern Mpumalanga, KwaZulu-Natal, and northern Eastern Cape provinces where wood is the predominantly used energy type for cooking. There is almost uniform use of gas for cooking across the country. Electricity is the main energy source for lighting in South Africa. It is followed by candles, likely explained by loadshedding, and, surprisingly, solar energy a distant third. In terms of drivers, dwelling types play a statistically significant role in what energy type to use for cooking and lighting, albeit differently. In terms of lighting, formal dwelling is positively related to the choice of electricity and informal dwelling is related to the choice of electricity (negatively) and candles (positively) for lighting. The level of higher education, household size, and the dependency ratio have varied statistically significant roles in the choice of either energy type for cooking or lighting by formal, informal, and traditional dwellers. Relevant policy prescriptions that are needed to engender the country towards sustainable energy use, diversification of energy types from electricity produced from fossil fuels to other renewable energy sources such as solar, and reduction in over-dependency on the biomass energy sources such as paraffin and wood, especially in rural and poor districts, are proposed. [ABSTRACT FROM AUTHOR]

Induced resistance in plants can be manipulated using the application of elicitors. In this study, the effects of Salicylic Acid (SA), chitosan, γ-Aminobutyric Acid (GABA), Serenad Aso (Bacillus subtilis QST713), and combined application of these elicitors were studied on the resistance of canola to cabbage aphid, Brevicoryne brassicae L. (Hemiptera: Aphididae). The number of B. brassicae attracted to canola plants treated with different inducers was significantly lower compared to the control in the field experiments. The lowest population density of aphid was observed on plants treated with SA+GABA and SA+chitosan. Moreover, the highest amounts of glucosinolates in canola leaves were recorded in SA+GABA treatment. The contents of sugar, lipid, and glycogen of B. brassicae were lowest when fed on the plants treated with SA integrated with GABA or chitosan. Furthermore, the activity of catalase, esterase, peroxidase and glutathione Stransferase enzymes was the lowest in SA+GABA and SA+chitosan. These findings suggest that exogenous application of SA integrated with GABA or chitosan on canola plants are successful in suppressing the B. brassicae population and can be considered in integrated management programs against this and other aphids. [ABSTRACT FROM AUTHOR]

As a way of accelerating the deployment of affordable and clean renewable energy generation technologies, applying a pump working as a turbine coupled to a self-excited induction generator is gaining popularity in various areas including energy recovery and micro hydro systems. However, it is currently challenging to predict the performance of the PAT-SEIG system and there is no agreed-upon rule on the selection of the appropriate system to be installed at a particular site. This paper has presented multi-objective optimization to select the best operating point of the PAT-SEIG system. The results show that the peak efficiencies for the PAT fall between 39.9% and 40.08% and for SEIG they fall between 69.78% and 69.84% and are not coincident. Thus, when selecting the operating point, a trade off on one element is necessary. Gamultobj optimization outputs the Pareto solutions and FMINCON locates the BEP within the Pareto solutions. [ABSTRACT FROM AUTHOR]

The article aims to provide information regarding current situation and future potential of renewable energy sources in Azerbaijan. Moreover, it proposes measures for the more convenient and efficient utilization of alternative and renewable energy sources to address the pollution of the natural environment resulting from recent significant climate changes on our planet. It extensively covers various aspects of alternative energy sources, including their development history, types, operational principles, and structures. Additionally, the factors influencing these energy sources are elucidated, along with an overview of state programs aimed at their development, tasks, and implementation, as well as European Union cooperation initiatives. The research also delves into the utilization of alternative renewable energy sources, ongoing projects, and the efficient utilization of natural resources. In modern times, the use of renewable energy sources present a promising avenue, offering the potential to safeguard environmental balance, restore equilibrium, and maintain ecosystem dynamics. The accelerating disruption of this balance underscores the urgency of expanding development and utilization efforts in this area. This article investigates current and possible future cooperation between European Union and Azerbaijan in renewable energy industry. [ABSTRACT FROM AUTHOR]

Previous studies ignored the geospatial dynamics spillover effects of energy consumption on CO2 emissions while assessing such impacts in developed and developing countries. Moreover, most studies wrongfully assess spillover effects in its aggregated format rather than decomposing by its components. This is important as not all energy sources share the same characteristics. We fill these gaps in the literature by investigating the spillover effects of various forms of energy, including fossil fuels, renewable energy, and nuclear power, on CO2 emissions in 135 developed and developing countries from 2000 to 2019. We used the Dynamic Spatial Durbin Model (DSDM) to better understand the results. A series of indicative tests confirmed using the DSDM model and including spatial interaction of CO2 emissions in the analysis. Our findings show evidence of indirect spillover effects of the various energy sources on CO2 emissions. Further considering the spillover effects of the energy sources of neighbouring countries, the paper finds that the driving increase in CO2 emissions mainly came from the energy consumption of the country itself and neighbouring countries' energy consumption. Nevertheless, the results indicate that the direct effects of energy consumption often exceed its indirect effects. The results also confirm that total and fossil energy consumption harms the environment, whereas adopting renewable and nuclear energy sources reduces CO2 emissions. Lastly, we find nuclear energy is the most environmentally sustainable energy source. The study concludes that the Dynamic Spatial Durbin Model is paramount in estimating the environmental impact of energy consumption in our sample. The practical policy implications drawn from this study could be used to promote increased collaboration to hasten the energy transition process and address global warming and climate change.

The importance of sustainability issues has increased in every field. Industrial design is one of the important areas that will contribute to sustainability. In the article, it is focused on how to contribute to sustainability through design. The article focuses on the use of recyclable, environmentally friendly materials and reducing material consumption. Within the scope of the article, various studies have been carried out that examine the design-material-sustainability relationship. First, the importance of sustainability in industrial design was investigated. Secondly, the relationship between material and design in industrial designs has been examined in terms of sustainability. Thirdly, products focusing on sustainability have been designed by the students of the industrial design department. Fourthly, an experimental study focusing on sustainability in industrial design was conducted. The experimental study was carried out on metal furniture. Furniture design has been developed in a way that reduces the use of materials, the number of parts, and the number of processes in production and contributes to sustainability. Experimental study shows that design has a calculable impact on sustainability. All studies in the article show the effect of design on sustainability.

The article presents the results of research related to the energy security of the EU-27 countries, exemplified for Poland and EU-27 average. Indicators, which can be found in the literature, typically examine energy security using the 4A concept as a basis for research on energy security. The authors extended the set of factors determining energy security by adding an additional category related to renewable energy sources (RES). In the research presented, the authors analyzed not only the impact of the availability of energy raw materials on the level of energy security, but also impact of critical raw materials, such as rare earth elements. They are necessary to develop RES technology. A taxonomic method was used, which allowed determination of the synthetic energy security measure SEM. The authors wrote the SEM 1.0 program, which determines SEM value. The analysis showed that the level of the indicator, after taking into account the fifth category, decreased for Poland by 9%, and for the EU-27 by 12%. The authors also proposed remedial measures that would make it possible to increase the level of energy security of the member states.

The present study delves into a critical concern on the relationship between energy poverty, digital and social development and inclusive growth. The main research hypothesis assumes a positive relationship between these areas, although differences between countries are inevitable. Therefore, the following research questions were asked: Is the impact of the level of energy poverty on inclusive growth the same in different EU countries? How does the use of renewable energy sources in individual countries affect energy poverty and thus inclusive growth? What is the link between energy poverty, digital and social development and inclusive growth in the countries studied. This study uses a critical analysis of the literature and methods of descriptive and mathematical–statistical tools/model. The main conclusions and findings of the analysis reveal that the link between energy poverty, use of renewable energy resources, digital and social development and inclusive growth varies across EU countries. The results of our analyses may be useful, for example, for government decision makers in terms of actions aimed at eliminating energy poverty through the country’s use of sustainable energy sources as well as designing and implementing actions aimed at increasing digital and social development, which will then contribute to inclusive growth.