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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]

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]

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]

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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]

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]

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.

Methanol-based alternative energy sources are critical to maintaining energy security, reducing the need for oil imports, and safeguarding the environment in China. However, the use of methanol-based fuels in the field of thermal combustion has not been thoroughly investigated. Therefore, an evaluation of the costs, emissions, and usage of methanol boilers is necessary. The study finds that methanol heaters and air source heat pumps have comparable annual cost values. Methanol heating furnaces emit the least amount of NOx and produce no SO2. After the refurbishment, the boiler's emissions and energy consumption have significantly decreased upon conversion of coal-fired steam boilers to methanol-based fuel hot water boilers. Nevertheless, the economy has also somewhat declined. Additionally, 5499 tce (standard coal) less energy will be used during the heating season, and 1.8 million CNY less will be spent on dust removal and desulfurization. Unfortunately, the economic benefits of methanol are only apparent when the cost of methanol fuel is less than 1900 CNY/t. The research presented in this paper provides an essential technological foundation for the development of methanol-fueled fuel burners and for the renovation of small and medium-sized coal-fired boilers.

This paper analyses the energy poverty status in off-grid rural households and its underlying socioeconomic factors. Employing the Foster–Greer–Thorbecke Technique and Probit regression on data from 53 households, the study uncovers a diverse array of energy sources in use, including firewood, paraffin, LPG, candles, and generators. Despite this energy source diversity, the poverty line threshold, as measured by the per capita energy expenditure line (92.40 ZAR) (1 US Dollar = ZAR 18.20), reveals the prevalence of energy poverty. Approximately 15% of respondents are experiencing severe energy poverty and 22% are facing moderate vulnerability to energy poverty, while over 50% are not energy poor. This indicates that, although they may lack access to electricity, their energy usage and expenditure in other forms might still be sufficient to meet their basic energy needs. This distinction highlights the importance of assessing energy poverty, extending beyond a simplistic assessment of absolute poverty but taking into account the dynamic nature of income levels. Gender, household size, formal education, and social grants emerge as key indicators shaping the energy landscape in the area. The results clearly indicate that male-headed households and larger households are less susceptible to energy poverty, while increasing formal education and social grants increases the risk of households being exposed to energy poverty. These findings suggest that the problem of energy poverty in the area is uniquely linked to social, economic, and cultural issues. Therefore, interventions targeted at addressing energy poverty problems must address the underlying social, economic, and cultural factors. [ABSTRACT FROM AUTHOR]

Interest in more sustainable energy sources has increased rapidly in the maritime industry, and ambitious goals have been set for decreasing ship emissions. All industry stakeholders have reacted to this with different approaches including the optimisation of ship power plants, the development of new energy-improving sub-systems for existing solutions, or the design of entirely novel power plant concepts employing alternative fuels. This paper assesses the feasibility of different ship energy sources for an icebreaking Arctic research ship. To that end, possible energy sources are assessed based on fuel, infrastructure availability and operational endurance criteria in the operational area of interest. Promising alternatives are analysed further using the evidence-based Strengths, Weaknesses, Opportunities, and Threats (SWOT) method. Then, a more thorough investigation with respect to the required fuel tank space, life cycle cost, and CO2 emissions is implemented. The results demonstrate that marine diesel oil (MDO) is currently still the most convenient solution due to the space, operational range, and endurance limitations, although it is possible to use liquefied natural gas (LNG) and methanol if the ship's arrangement is radically redesigned, which will also lead to reduced emissions and life cycle costs. The use of liquefied hydrogen as the only energy solution for the considered vessel was excluded from the potential options due to low volumetric energy density, and high life cycle and capital costs. Even if it is used with MDO for the investigated ship, the reduction in CO2 emissions will not be as significant as for LNG and methanol, at a much higher capital and lifecycle cost. The advantage of the proposed approach is that unrealistic alternatives are eliminated in a systematic manner before proceeding to detailed techno-economic analysis, facilitating the decision-making and investigation of various options in a more holistic manner. [ABSTRACT FROM AUTHOR]

Human societies have been trying to mitigate the suffering of individuals with physical impairments, with a special effort in the last century. In the 1950s, a new concept arose, finding similarities between animal exoskeletons, and with the goal of medically aiding human movement (for rehabilitation applications). There have been several studies on using exosuits with this purpose in mind. So, the current review offers a critical perspective and a detailed analysis of the steps and key decisions involved in the conception of an exoskeleton. Choices such as design aspects, base materials (structure), actuators (force and motion), energy sources (actuation), and control systems will be discussed, pointing out their advantages and disadvantages. Moreover, examples of exosuits (full-body, upper-body, and lower-body devices) will be presented and described, including their use cases and outcomes. The future of exoskeletons as possible assisted movement solutions will be discussed—pointing to the best options for rehabilitation. [ABSTRACT FROM AUTHOR]

Background: The production of biofuels has caused an increase in the prices of agricultural commodities. Thus, the ecological footprint, social inclusion and profitability of production systems have encouraged the use of agro-industrial products as an alternative in ruminant feeds. Objective: To evaluate carcass yields, non-carcass components, and the economic viability of including licuri oil in diet of Santa Ines ewes. Methods: A total of 32 Santa Ines ewes (multiparous, non-lactating, 2-4 years old, and 36.7±0.87 kg of body weight--BW) were allotted to a randomized block design with four treatments (diets containing 0, 2, 4 or 5% licuri oil) with eight replicates per treatment, and confined for 77 days. Results: The incremental inclusion of licuri oil promoted a quadratic response on slaughter BW, carcass and true yields, chest widths, heart fat, pancreas, omental fat, and ribeye area (p<0.05). Carcass, heart and loin weight, shank yield, fat thickness and loin fat were reduced (p<0.05); while cooling losses, left half-carcass weight, saw blade yield, and proportion of meat in the loin increased (p<0.05) with increasing dietary levels of licuri oil. The control diet resulted in the best gross revenue (USD$609.39); however, there was a loss (USD$50.96) regarding economic performance indicators. Conclusion: The use of up to 2% licuri oil in the diet increased carcass yield of discard ewes. [ABSTRACT FROM AUTHOR]

Alternative energy and natural gas not burning of fossil fuels, leads to environmental sustainability. The study examined the role of alternative and nuclear energy in stimulating environmental sustainability while considering the role played by the government expenditure in the BRICS bloc over the period 1990-2021. The study confirmed that environmental sustainability received significant attention from researchers in different countries worldwide. The study found that GDP has a negative impact on carbon dioxide emissions, while alternative energy, government consumption expenditure and natural resources have a positive relationship with carbon dioxide emissions. Therefore, BRICS countries should invest in new technologies to cater for environmental sustainability.

This article focuses on the Cuban economy and its ability to recover its energy sources and associated technology. This study includes three resilience analyses: (1) total energy consumption, (2) indigenous energy sources, and (3) imported energy consumption. These three resilience analyzes are performed using the Herfindahl-Hirschman Index and the Lauraéus-Kaivo-oja Index. The historical time horizon of these resilience analyzes is between 1971 and 2018. Along with these historical analyzes of energy sources, a long-term scenario from the International Energy Agency, IEA, will also be put into practice until the year 2050 to Cuba based on HH and LK indices. The article predicts that while demand for fossil fuels has collapsed during the Covid-19 crisis, renewable energy production should continue to grow. These resilience analyzes of the Cuban energy economy provide useful information on the Cuban energy planning process.

Background: The production of biofuels has caused an increase in the prices of agricultural commodities. Thus, the ecological footprint, social inclusion and profitability of production systems have encouraged the use of agroindustrial products as an alternative in ruminant feeds. Objective: To evaluate carcass yields, non-carcass components, and the economic viability of including licuri oil in diet of Santa Ines ewes. Methods: A total of 32 Santa Ines ewes (multiparous, non-lactating, 2–4 years old, and 36.7±0.87 kg of body weight—BW) were allotted to a randomized block design with four treatments (diets containing 0, 2, 4 or 5% licuri oil) with eight replicates per treatment, and confined for 77 days. Results: The incremental inclusion of licuri oil promoted a quadratic response on slaughter BW, carcass and true yields, chest widths, heart fat, pancreas, omental fat, and ribeye area (p

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The article is concerned with studying the current state of the domestic electric power industry and the existing and potential contradictions between stakeholders in the process of its restoration and modernization. Based on the studies of world experience, possible changes are indicated, namely: recovery of the energy system on the basis of decentralization; development of mini-power plants; creation of an energy storage system at existing hydroelectric power plants; development of hybrid projects in the field of renewable energy sources (RES) and the introduction of other generating capacities of «green» energy. The need to amend the Draft Concept of the «green» transition of Ukraine until 2050 to increase the share of electric energy from the nuclear energy sector is substantiated. It is noted that the domestic energy sector will undergo significant changes in the coming decade, but positive changes are possible only with the interaction and beneficial cooperation of all business structures, as well as with the support of their activities by individual territorial communities and public organizations. Attention is focused on a significant number of stakeholders in the electric energy market, some of which have counter interests, which will cause conflicts and contradictions. The article also points out that one of the important ones is the contradiction between the need for a radical energy transition to new technologies and the interests of current raw materials and energy monopolies to maintain the status of traditional energy for as long as possible. As a result of the study, it is determined that the current sector of the domestic electric power industry is characterized by a significant number and versatility of contradictions, which are proposed to be classified on the basis of «sphere of manifestation» into the following: economic; social; market-based, and technological. It is proposed to consider the processes of detection and identification of contradictions as an important prerequisite for a solid foundation in order to ensure a stable, consistent and innovative development of the electric power industry sector of the national economy.

The energy transition, originating in the limitation of fossil resources and greenhouse gas (GHG) emission reduction, is the basis of many studies on renewable energies in different industrial applications. The diffusion absorption refrigeration machines are very promising insofar as they allow the use of renewable resources (solar, geothermal, waste gas, etc.). This technology is often considered an alternative to vapor compression systems in cooling and refrigeration applications. This paper aims to overview the thermal mechanisms related to modeling system energy sources and highlight the primary methodologies and techniques used. We study and analyze the technology's current challenges and future directions and, finally, identify the gaps in the existing models to pave the way for future research. The paper also gives a classification of absorption refrigeration systems (ARS) to position and limit the scope of the study. The paper will help researchers who approach the various aspects to have a global synthetic analysis of the mechanisms characterizing the modeling of energy sources of absorption refrigeration machines. [ABSTRACT FROM AUTHOR]

This article focuses on the Cuban economy and its ability to recover its energy sources and associated technology. This study includes three resilience analyses: (1) total energy consumption, (2) indigenous energy sources, and (3) imported energy consumption. These three resilience analyzes are performed using the Herfindahl-Hirschman Index and the Lauraéus-Kaivo-oja Index. The historical time horizon of these resilience analyzes is between 1971 and 2018. Along with these historical analyzes of energy sources, a long-term scenario from the International Energy Agency, IEA, will also be put into practice until the year 2050 to Cuba based on HH and LK indices. The article predicts that while demand for fossil fuels has collapsed during the Covid-19 crisis, renewable energy production should continue to grow. These resilience analyzes of the Cuban energy economy provide useful information on the Cuban energy planning process. [ABSTRACT FROM AUTHOR]

Inappropriate agricultural practices consume more input energy and emit higher greenhouse gases (GHGs) which cause global warming and climate change, thereby threatening environmental sustainability. To identify energy and carbon-efficient varieties and nutrient management practices, the present study was undertaken during the kharif season of 2018 and 2019 in a split-plot design with three varieties of fodder maize (African Tall, J-1006 and P-3396) and four nutrient management practices such as N0: Absolute control, N1: 100% recommended dose of fertilizers (RDF), N2: 75% RDF + plant growth promoting rhizobacteria (PGPR) + Panchagavya spray and N3: 50% RDF + 25% farmyard manure (FYM) + PGPR + Panchagavya spray). Results indicated that variety J-1006 and applying 75% RDF + PGPR + Panchagavya spray produced significantly higher dry fodder yield. Among the varieties, J-1006 recorded the highest total energy output (224,123 MJ ha−1), net energy (211,280 MJ ha−1), energy use efficiency (17.64), energy productivity (0.98 kg MJ−1), energy profitability (16.64), and lowest specific energy (1.03 MJ ha−1). Regarding nutrient management, 75% RDF + PGPR + Panchagavya spray fetched the highest total energy output (229,470 MJ ha−1) and net energy (215,482 MJ ha−1). However, energy use efficiency, energy productivity, and energy profitability were significantly higher with integrated nutrient management (N2 and N3) over 100% RDF. Concerning the carbon estimation, J-1006 resulted in a significantly higher carbon output (5479 kg CE ha−1), net carbon gain (5029 kg CE ha−1), carbon efficiency (12.46), carbon sustainability index (11.46), and significantly lower carbon footprint per unit yield (CFy) (131.3 kg CO2-e Mg−1). For nutrient management, the application of 75% RDF + PGPR + Panchagavya spray showed significantly higher carbon output (5609 kg CE ha−1) and net carbon gain (5112 kg CE ha−1). However, significantly higher carbon efficiency, carbon sustainability index, and lower CFy were reported with integrated nutrient management over 100% RDF. Overall, selecting the J-1006 variety and applying 75% RDF + PGPR + Panchagavya spray for fodder maize cultivation could be the most productive in terms of dry fodder production, energy, and carbon efficiency approach. [ABSTRACT FROM AUTHOR]

Resource quantity (i.e. organic matter; OM) is a main driver of the prevailing energy pathway in freshwater food webs. The OM pool is mainly composed of allochthonous material, a primary resource for freshwater consumers. Contrastingly, small amounts of autochthonous OM (i.e. algae) can subsidize aquatic communities due to its higher nutritional quality. To date, there is no consensus about the relative importance of allochthonous and autochthonous OM for freshwater food webs or the environmental factors driving their relative importance. We fill this gap by evaluating the relative importance of allochthonous and autochthonous OM sources for freshwater food webs on a global scale through a meta‐analytical approach. We gathered the outcome of stable isotope mixing models of 2789 cases from 58 published studies and calculated a response ratio between the mean contributions of allochthonous and autochthonous OM for freshwater consumers. Using mixed‐effect models and a multimodel inference approach, we tested the influence of latitude, habitat type, ecosystem size, climate and terrestrial productivity over the response ratio. The relative contribution of autochthonous OM was higher in lotic systems. In lentic systems, increasing terrestrial productivity increased the relative contribution of autochthonous OM, while increasing precipitation and temperature seasonality reduced this relative contribution. We suggested that factors increasing terrestrial productivity might also boost autochthonous OM in these systems, while precipitation increases the transport of allochthonous OM to freshwater habitats. We did not find any relationship between environmental factors and the relative contribution of autochthonous OM for lotic systems. We concluded that the relative contribution of allochthonous and autochthonous energy sources to freshwater food webs differs between lotic and lentic ecosystems and it is dependent on multiple environmental factors. [ABSTRACT FROM AUTHOR]