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The Mantaro Valley in Peru is an inter-Andean River valley, through which the Mantaro River passes. Approximately a population of one million inhabitants live here. Currently, the damage caused by the use of non-renewable energy sources is very evident, both to the environment and to the local economy, which will become unsustainable in the future. That is why we want to critically study the implementation of renewable energy projects that support the generation of electricity and other types of energy in this area. However, this has some positive and negative elements. In this paper, we apply a PEST-SWOT analysis to evaluate the balance of each of these aspects. Furthermore, we use an evaluation in the form of single-valued neutrosophic numbers, which allow us to capture the uncertainty and indeterminacy in this decision-making problem. [ABSTRACT FROM AUTHOR]

This paper presents a new design of a minimum phase high step-up DC-DC converter with a fast dynamic response for renewable energy systems. In addition to the common ground sharing between the input and output ports, the proposed converter draws a low ripple current from the input source, prolonging the input source's life cycle. Moreover, eliminating the right half plane zero from the control to output transfer function enables the converter to provide fast dynamic responses. Moreover, low voltage stress across the circuit components, simple structure, and low EMI are other merits of the suggested topology. Theoretical analysis, including the principle of operation, the mathematical calculation for steady-state operation, and small-signal modeling derivation, are clarified in detail. At last, to verify these analyses and the mentioned features of the proposed converter, a 25V input voltage, 100V output voltage and 100 W output power with 50 kHz switching frequency laboratory prototype has been implemented, and the main experimental results have also been outlined. [ABSTRACT FROM AUTHOR]

Abstract The transition from conventional non-renewable and fossil fuels to renewable energies represents an innovative approach toward achieving environmental, economic, and social sustainability. This transition has gained more importance due to global warming and environmental issues. A significant portion of carbon emissions and energy consumption is attributed to developed countries. Despite the many similarities, these countries have different performance in the field of energy. Thus, these countries must be ranked according to the attitude of renewables. To be able to identify the beneficial and harmful factors in the transition to renewable energy among them. In this article, The G7 countries were ranked by using the TOPSIS method. The use of TOPSIS method is used for the first time in the survey of G7 countries and it shows that this method is new. For each country, a set of primary data such as total power generation, power generated by each renewable source, carbon dioxide emissions, etc. were collected. Subsequently, five parameters were calculated based on primary data for each country: carbon emissions per dollar of GDP, the ratio of renewables per capita to the total production capacity per capita, population density, warming impact per dollar of GDP, and investment in renewable energies per dollar of GDP. A score was assigned for each of the five parameters and seven countries were ranked using the TOPSIS method. In this ranking, Britain ranked first place and Canada took the last place. Notably European countries, which rely less on fossil resources, generally outperformed other G7 nations, which rely less on fossil resources, outperformed other G7 nations.

Abstract Background Fossil fuels can be replaced with electricity and hydrogen. However, the implementation and use of these low-carbon energy carriers require a sociotechnical transition. This transition might not be completed in time. Main text $$\text {CO}_2$$ CO 2 -based methane is a substitute for natural gas that is less carbon-intensive. This methane is synthesized by capturing $$\text {CO}_2$$ CO 2 from air and by performing water electrolysis to produce hydrogen. $$\text {CO}_2$$ CO 2 -based methane is compatible with our current fossil-based society. An analysis of the substitution of natural gas with different energy carriers will be performed, and the results will be compared. The effects of $$\text {CO}_2$$ CO 2 -based methane, hydrogen, and electricity will be evaluated for energy storage, high-temperature level heat production, and residential heating. The multi-level perspective will be applied to assess these energy carriers in the context of our society. Conclusions $$\text {CO}_2$$ CO 2 -based methane is the least energy efficient energy carrier among those analyzed. Nevertheless, this type of methane supports the acceleration of the energy transition. Highlights CO2-based methane is a valuable, renewable, and carbon-neutral energy carrier that supports a timely energy transition. The implementation of hydrogen and electricity requires more modifications to our current sociotechnical society than the implementation of CO2-based methane. The urgency of reducing CO2 emissions is not being considered adequately in the current societal discussion, and a multi-level perspective analysis should provide valuable results that account for the temporal aspect.

Wind farms are a clean and efficient source of renewable energy. However, they cause negative impacts on raptors. Here, we present a review of the existing scientific literature on the effects of wind farms on raptors' ecology with a particular interest in the potential solutions. After collecting 216 studies, we found a consensus in the literature that raptors exhibit avoidance behaviors, and that the abundance of raptors decreases after wind farm installation, although it might recover over time. The position of wind farms on mountaintop ridges poses a particular danger to large soaring raptors, as they rely on orographic uplift to gain altitude. Adult mortality significantly affects population dynamics, particularly in endangered species, but young inexperienced individuals show a higher collision risk. The combination of different methods including field monitoring, GPS telemetry and systematic search for carcasses is an adequate approach to further investigate the problem and solutions. Shutdowns on demand, the installation of deterrents, turbine micro‐sitting and the repowering of wind farms have been suggested as potential solutions, although results are contradictory and case‐specific. Furthermore, it is essential to report the potential occurrence of conflicts of interest in scientific papers, as they can influence the interpretation of the results. Finally, from a future perspective, it is crucial to assess the effectiveness of solutions to mitigate the negative effects of wind farms to promote raptor conservation. This becomes increasingly relevant in the context of renewable energy development and increasing energy demand worldwide. [ABSTRACT FROM AUTHOR]

With increasing efforts to lower CO2 emissions globally, the demand for carbon-based resources in industries remains on a high level, leading to new technologies being able to provide those essential carbon sources. To the best of our knowledge, we were able to show for the first time the adaption of a readily available gasifier for the gasification of wood chips using only O2 (18.4–23.1 Vol.-%) and CO2 as gasification agents, creating a nitrogen-free product gas. It was found that the setup used was able to convert up to 27.2% of the CO2 from the gasification agent to CO, creating a promising route for the production of renewable carbon sources for future carbon-based applications. Furthermore, no decrease in gasification performance was observed as the cold gas efficiency was at 83.5–95.5% with only minor formation of tar. [ABSTRACT FROM AUTHOR]

In recent years, the importance of deregulated power systems has grown significantly, resulting in positive effects on stability, reliability, innovation, and investment in new energy grid technology. The competitive landscape among energy providers and distributors has empowered consumers to not only save money on their energy bills but also incorporate sustainable energy sources into the grid. To efficiently manage electricity distribution, deregulated power systems must include a smart grid and microgrid (MG). Herein, the potential for sustainable expansion of these systems, as well as their economic and environmental implications, are examined. A comprehensive grid system that integrates smart grids and MGs can offer a complete solution, catering to the evolving energy needs of communities and businesses. The advantages of establishing such a system, including improved grid stability, reliability, and increased utilization of renewable energy sources (RES), are highlighted. Furthermore, the integration of MGs and smart grids enhances the management of distributed generation, allowing power companies to optimize system operations for profitability and efficiency. By following these suggestions, businesses and stakeholders in the power sector can enhance the efficiency and responsibility of their systems, resulting in benefits for both the economy and the environment. [ABSTRACT FROM AUTHOR]

This research aims at proposing an alternative to improve the efficiency of electric vehicles (EVs) and reduce greenhouse gas (GHG) emissions in the context of electric mobility. A photovoltaic and wind hybrid energy system was installed in a Chok S2 electric vehicle. In addition, a charge equalization system was included to balance and maximize the performance of each of the EV's five batteries connected in series. The results show a 20% improvement in vehicle efficiency after conducting tests on a 17 km Andean route. The photovoltaic system generated 535 W, while the wind system generated 135 W/s at a speed of 45 km/h. These findings highlight the potential of hybrid renewable energy systems to improve the efficiency and range of electric vehicles. [ABSTRACT FROM AUTHOR]

Sustaining a high-renewable electricity generation portfolio has proved to be difficult due to grid flexibility constraints. We utilize the abrupt decline in electricity demand due to the COVID-19 lockdown in China as a policy experiment to study the role of ancillary service markets (ASMs) in promoting intermittent renewable energy integration. Our results reveal that provinces with ASMs sustained a significantly higher generation of intermittent renewable energy during the COVID-19 demand shock, which amounts to 9.7 percent of average monthly intermittent renewable energy generation during the shock. A back-of-envelope analysis further shows that annual carbon emission offset from establishing ASMs in all provinces of China could amount to 13 to 17 percent of annual carbon emissions from Britain in the near future when renewable energy penetration continues to go up. JEL Classification: Q20, Q42, Q53, O13 [ABSTRACT FROM AUTHOR]

This paper explores how investments in research and development (R&D) and government policies impact the growth of renewable energy in Brazil, Chile, and Colombia up to 2040. The study presents four scenarios to understand how different levels of R&D investment and the presence or absence of supportive policies affect the spread of renewable technologies such as solar and wind energy. The scenarios range from an optimistic one with high R&D funding and strong policy support to a worst-case scenario with low R&D efforts and weak policies. The findings emphasize the importance of solid government backing and strategic R&D investments in promoting renewable energy and increasing the number of green patents. On the other hand, scenarios with limited policy support and R&D funding show much slower growth, highlighting the challenges posed by economic constraints and tough market conditions. The study shows that strong renewable energy policies could boost renewable energy adoption by 100% to 200%. Overall, this research adds to the discussion on sustainable energy policies and provides useful insights for policymakers and stakeholders to develop strategies that maximize the potential of renewable energy in the region. [ABSTRACT FROM AUTHOR]

This article presents a detailed analysis of the energy availability of a 15 kW hybrid wind–solar photovoltaic microplant, designed to supply the electricity demand of the power-to-gas (PtG) pilot plant located at the University of La Guajira, Colombia. The study addresses the lack of specific data on the energy availability curve, which is essential for quantifying the production percentages of green hydrogen from wind and solar photovoltaic sources. To this end, continuous data were collected over a seven-month period, recording the daily power output from both sources. Additionally, the energy requirements of the PtG pilot plant, which relies on the microplant for its electrical supply, were determined. The results indicated that during certain periods, such as specific days in November 2022 and February and March 2023, it was necessary to rely on the conventional electrical grid for backup. Moreover, it was observed that solar photovoltaic energy contributed the most electricity to the system for green hydrogen production. In the study area, although green hydrogen production is predominantly supported by the solar photovoltaic source, it is crucial to have the backup of an additional source, such as wind, due to the intermittent nature of the climatic conditions affecting these technologies. [ABSTRACT FROM AUTHOR]

The goal of securing almost 100 % of electricity generation in Germany with renewable energies (RE) and green energy imports is analyzed. The annual continuous load lines of the ways of generating electricity with RE demonstrate the actual supply capacity of RE as a function of the installed capacity. The increasing volatility resulting from the expansion of RE has a negative impact on the effectiveness of electricity generation and leads to high residual loads. It is not possible to compensate for this by storing the surplus electricity with hydrogen and regenerating electricity and importing green energy sources. A globally feasible concept of the complementary decarbonization of electricity generation from RE and fossil fuels via natural gas pyrolysis and the material‐energetic use of lignite is proposed. [ABSTRACT FROM AUTHOR]

The study investigates the weighting and hierarchization of renewable energy sources in specific geographical regions of Colombia using the TOPSIS and Diffuse TOPSIS metaheuristic models. 5 regions were analyzed, two of them with different scenarios: Caribbean 1 and 2, Pacific 1 and 2, Andean, Amazonian and Orinoquia. The results reveal significant differences in the evaluation of technologies between the two models. In the Caribbean 1, Diffuse TOPSIS gave a higher score to Solar Photovoltaics, while TOPSIS favored Hydropower. In the Caribbean 2, Solar Photovoltaic obtained similar scores in both models, but Wind was rated better by TOPSIS. In the Pacific Region 1, Biomass and large-scale Hydropower led according to both models. In the Pacific 2, Solar Photovoltaic was better evaluated by TOPSIS, while Wind was preferred by Diffuse TOPSIS. In the Andean Region, large-scale hydroelectric and Solar photovoltaic plants obtained high scores in both models. In the Amazon, Biomass led in both models, although with differences in scores. In Orinoquia, Solar Photovoltaic was rated higher by both models. The relevance of this research lies in its ability to address not only Colombia's immediate energy demands, but also in its ability to establish a solid and replicable methodological framework. The application of metaheuristic methods such as TOPSIS and TOPSIS with fuzzy logic is presented as a promising strategy to overcome the limitations of conventional approaches, considering the complexity and uncertainty inherent in the evaluation of renewable energy sources. By achieving a more precise weighting and hierarchization, this study will significantly contribute to strategic decision-making in the implementation of sustainable energy solutions in Colombia, serving as a valuable model for other countries with similar challenges. [ABSTRACT FROM AUTHOR]

The Port of Valencia, a prominent maritime center, is actively working towards minimizing its carbon emissions and aims to become a completely carbon-neutral port soon. This research uses data-driven sensitivity analysis to explore realistic power-generating options for a seaport to reduce its emissions. This approach comprises changing key parameters in power consumption and deploying renewable energies (rather than electricity and infrastructure prices, which are beyond the scope of this study) to assess their impact on the port's overall emissions profile. Through sensitivity analysis, policymakers and managers discover each scenario's efficacy and find the best decarbonization strategies. After thoroughly examining four realistic scenarios, our research findings show that each scenario's emission reduction share and sensitivity are practical and feasible. It becomes clear that gradually replacing traditional fossil fuels for electricity generation with renewables is a reasonable and realistic option for emissions reduction. The results demonstrate that focusing on reasonable targets, such as replacing 30% and 50% of electricity generation with renewables, is more achievable and beneficial in the medium term than ambitious goals, like replacing all electricity with renewable energy. This research contributes to reducing emissions of the Port of Valencia by using data-driven sensitivity analysis to find practical renewable energy strategies. It provides actionable insights for managers and policymakers to implement feasible decarbonization plans, emphasizing gradual adoption of renewables over ambitious goals, thus supporting sustainable maritime operations. [ABSTRACT FROM AUTHOR]

Solar photovoltaic (PV) has become the second renewable energy source, giving rise to potential conflicts with biodiversity conservation. However, the information available about the impacts and mitigation measures of solar PV energy is scarce and scattered, and a rigorous and comprehensive review on the topic is lacking. Here, we review the state of knowledge on its impacts and mitigation measures and identify main knowledge gaps. For that, we reviewed more than 2000 articles, out of which only 180 assessed the impacts of solar PV (N = 138) and/or propose mitigation measures (65). Even though Asia and Europe head the list of regions with the highest PV installed capacity (59% and 22%, respectively), a large portion of the existing knowledge is drawn from North American environmental contexts (48% of the studies), specifically from deserts (41%). Impacts were addressed on plants (26%), arthropods (14%), birds (10%), microorganisms (10%), reptiles (7%), mammals (4%), and bats (1%), but also on abiotic factors (e.g., humidity and temperature; 20%) and ecosystem services (3%). Most studies addressed the impact of PV on habitat alteration at landscape (33%) and microhabitat scale (20%), and on microclimate at microhabitat scale (17%), but other topics have been scarcely addressed (e.g., impact on microclimate at landscape scale or the potential of agrivoltaic systems). Lastly, 53% of the studies employed a single PV facility, and preconstruction situations were rarely reported (8%). There is a strong environmental context bias in the current understanding of PV impacts, which might not be extrapolable to other environmental situations like farmlands, where most of the solar PV capacity is being installed. Moreover, standardized and robust sampling designs are lacking to address cumulative, long‐term, and long‐scale impacts and produce comparable findings across contexts. Given the lack of empirical evidence and the irrepressible development of PV energy, it is advisable to apply an iterative monitoring and adaptive process to guarantee a safe energy transition. This review may provide useful guidance on prioritizing research efforts for a smooth shift to renewable energy. [ABSTRACT FROM AUTHOR]

The extension of wind power and the installation of wind turbines in the low-mountain regions of Germany against the background of the national transition to renewable energies is meeting with opposition from some nature conservationists, who perceive a conflict between climate protection and nature conservation. This article illustrates the nature conservationists' views on questions of (in)justice and the various environmental crises in the Anthropocene. I argue that their opposition to wind power is based on at least three different aspects: commitment to species protection, concern for the aesthetic value of landscapes, and a plea for a degrowth paradigm. In addition, the supposed indifference of the state and national government towards these objectives leads to resentment and is developing a rural consciousness. Methodologically, the article shows that collaborative research in contested settings might have the transformative potential to spin a conversational thread on the urgent question of what is due to whom in the Anthropocene. [ABSTRACT FROM AUTHOR]

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This study aims to highlight the fundamental role of renewable energy consumption in Algeria, and its impact on environmental pollution resulting from the use of fossil energies, during the period (2000- 2021) using an autoregressive distributed lag. We found that there is a large inverse proportional relationship in the long run and a large positive relationship in the short run between the consumption of solar photovoltaic energy (SO) and carbon dioxide emissions (CO2), As for the consumption of electricity from hydroelectric energy (HY), It had a significant impact, with a positive relationship in the long run, the results also showed the existence of a positive and significant relationship in the short term, and a significant and inverse relationship in the long term between wind energy (WI) and carbon emission (CO2). [ABSTRACT FROM AUTHOR]

We all know that renewable energies are important for environmental reasons. However, recent developments should open our eyes to the fact that they are even more critical for sustainable development. In this commentary, we argue that societal benefits should be included in renewable energy decisions. Specifically, we discuss their contributions to freedom, peace, and democracy. [ABSTRACT FROM AUTHOR]

This study performs a systematic review and analysis of research on the use of multicriteria decision analysis (MCDA) methods for more than 45 years. More than 34,468 documents related to MCDA were identified in more than 130 countries, with an annual increase of 14.15% in scientific production. India, China, and Iran lead in number of publications, covering about 35%. The universities with the most publications include Islamic Azad University and Vilnius Gediminas Technical University. The main journals in this field are Expert Systems With Applications, Sustainability, and Journal of Cleaner Production. The most prolific authors are Zavadskas, E.; Wang, J.; Tzeng, GH; Zavadskas, EK; and Kahraman, C. The most popular methods are TOPSIS, AHP (analytic hierarchy process), VIKOR, PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation), and ANP. LATAN, which includes countries such as Brazil, Chile, and Mexico, has increased the use of MCDA in recent years. Colombia has also shown a great interest in MCDA, especially in the selection of alternative energy sources and industrial suppliers. This method of literature review provides a comprehensive overview of research at MCDA and offers valuable information for future projects and studies. [ABSTRACT FROM AUTHOR]

Energy, as one of the most important factors of production, plays a crucial role in the economic growth of countries, but in today's world, addressing economic growth issues without considering the aspects of sustainable development and intergenerational consequences is impossible. Considering the importance and differences of renewable and non-renewable energies in the sustainable development of countries, the main purpose of this study is to examine the causal relationship between economic growth and the consumption of renewable and non-renewable energies in the D8 and G7 countries. Using two causality approaches, Dumitrescu-Hurlin (2012) and Konya (2006), this study investigates the relationship between these variables over the period from 2000 to 2022. The findings of this study reveal a unidirectional causality from GDP to renewable energy consumption in the D8 countries. Additionally, no causal relationship is observed between non-renewable energy consumption and GDP in these countries. In other words, in the D8 countries, economic growth is not influenced by energy consumption; however, as economic growth increases, these countries tend to adopt renewable energy sources. On the other hand, in the G7 countries that are more developed, the results indicate a unidirectional causal relationship from the consumption of renewable energy to GDP. Furthermore, the findings demonstrate a unidirectional causality from domestic gross production to non-renewable energy consumption. Hence, in the G7 countries, economic growth is influenced by the consumption of renewable energy and, in turn, impacts the consumption of non-renewable energy. [ABSTRACT FROM AUTHOR]

This study presents a novel approach that will address escalating demands for water and cooling in regions vulnerable to climate change through the proposal of an optimal integrated cooling–freshwater cogeneration system powered by renewable energy sources. Comprising three subsystems (integrated multi-effect evaporation distillation, absorption heat pump, and vapor compression refrigeration (MAV); renewable energy unit incorporating solar panels, wind turbines, batteries, and hydrogen facilities (RHP/BH); and combined heat and power (CHP)), the system aims to produce both cooling and freshwater. By recovering cooling from combined desalination and refrigeration subsystems to chill the air taken into the gas turbine compressor, the system maximizes efficiency. Through the recovery of waste heat and employing an integrated thermo-environ-economic framework, a novel objective function, termed modified total annual cost (MTAC), is introduced for optimization. Using a genetic algorithm, parametric iterative optimization minimizes the MTAC. The results reveal that under optimum conditions, the MAV, RHP/BH, and CHP subsystems account for 67%, 58%, and 100% of total annual, exergy destruction, and environmental costs, respectively. Notably, the system exhibits lower sensitivity to fuel prices than renewable energy sources, suggesting a need for future research that will incorporate dynamic product prices and greater fuel consumption to produce enhanced operational robustness. [ABSTRACT FROM AUTHOR]

The challenges posed by climate change and global warming loom large, necessitating a critical initial step towards the long-term growth and the enhancement of both environmental and operational efficiency. Within the energy sector, renewable energy sources are gaining increasing prominence. Consequently, traditional oil and gas companies (OGC) are undergoing a gradual transformation into comprehensive energy corporations, aligning themselves with energy transition policies. This paper examines two types of efficiency measures—operational and environmental—for the 20 largest OGC during the period of 2010–2019. Secondly, this research aims to explore the effect of the global energy transition on both environmental and operational efficiency. Based on three estimation methods, two estimation steps are used in this research. In the first step, the True Fixed Effect (TFE) model and the Battese and coelli (1995) SFA model are applied to evaluate, measure and compare the environmental and operational efficiency scores. In the second step, the TFE model and GMM approach for the dynamic panel data model are used to explore, evaluate and verify the effect of global energy transition on the environmental and operational efficiency of the largest 20 OGC in the world. The results reveal that the average operational efficiency of major OGC measured using the BC.95 model and TFE model is 66% and 85%, respectively, and the overall average level of environmental efficiency for OGC over a 10-year period is 31% (based to B.C.95 model) and 13% (based to TFE model). Our findings reveal that biofuels, solar and hydropower contribute to promote the operational and environmental efficiency of the largest 20 OGC. However, the analysis suggests that while the global energy transition significantly influences and bolsters environmental efficiency, its effect on operational efficiency among these major OGC remains less pronounced and insufficient. [ABSTRACT FROM AUTHOR]

Biogas stands as one of the most adaptable renewable energy resources, distinguished by its storage capabilities. Its distinctive attributes position it as an exemplary energy source, leveraging waste to generate power. However, beneath this supposedly smart practice of producing electricity, is there real justice for the local community in the biogas planned and sitted? This research delves into the themes of citizen engagement and local perceptions concerning biogas plants development. With this aim a survey was held among residents near two biogas facilities located within wastewater treatment plants in Andalusia. The findings reveal a significant gap in knowledge on biogas development, and a disconnection between the biogas plants and the local community. These insights lead to the conclusion that it is necessary to align the renewable energy facilities' planning with the needs and expectations of the local community, thereby fostering a more inclusive and informed approach to its deployment. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to propose a methodology for assessing an optimal portfolio of investment instruments that minimise the social costs of decarbonising economic activity while improving the environmental objectives proposed in EU legislation. Design/methodology/approach: The methodology defines the net social cost of decarbonisation related to a portfolio of four instruments: installation of solar PV and wind generation, thermal insulation of households and deployment of heat pumps. The social cost is minimised by restricting it to the minimum level of the targets proposed in the Spanish National Energy and Climate Plan to reduce greenhouse gas emissions, increase generation from renewable sources and reduce energy consumption. The empirical approach also includes differences between regions according to the expected effect for instruments. Findings: The application of this methodology to the environmental objectives defined in the current Spanish National Energy and Climate Plan for 2030 concludes that it is clearly possible to reduce the social cost of decarbonisation while improving environmental performance through a reorientation of investment instruments. In this case, such a reorientation would be based on a minimisation of efforts in thermal insulation of households and a maximisation of measures aimed at the installation of heat pumps. Originality/value: The paper proposes a novel methodology for a social cost assessment that improves the allocation of a portfolio of environmental instruments. This portfolio could be extended in further work to include instruments related to transport or support for industrial decarbonisation, such as the deployment of renewable hydrogen, among others. [ABSTRACT FROM AUTHOR]

The improvement of the energy structure and the development of the renewable energy sector play an important and strategic role in Cameroon's responsibilities against climate change. So, the authorities and policy makers have made great efforts to achieve this. But one of the main constraints of Cameroon's energy transition lies in financial issues, which are inevitably linked to the country's financial development. At the heart of this reflection therefore arises the question of knowing: What could be the impact of financial development on the consumption of renewable energies in Cameroon? This study therefore aims to examine the impact of financial development on the consumption of renewable energies in Cameroon over the period from 2000 to 2022. Our research is based on a Vector Autoregressive (VAR) model; seven variables of financial development have been used to explain the consumption of renewable energies in Cameroon. The results of the empirical analysis show that foreign direct investments, the evolution of bond markets and energy prices represented by the consumer price have a negative effect on the consumption of renewable energies. On the other hand, domestic credit provided by the financial sector, banking availability, economic development, and income have a positive impact on renewable energy consumption. Our empirical results provide valuable insights into the best ways to deploy capital in the renewable energy sector, in order to provide customers with cost-competitive options, and to facilitate the implementation of policies that contribute to environmental sustainability and energy security. [ABSTRACT FROM AUTHOR]

In recent years, the importance of deregulated power systems has grown significantly, resulting in positive effects on stability, reliability, innovation, and investment in new energy grid technology. The competitive landscape among energy providers and distributors has empowered consumers to not only save money on their energy bills but also incorporate sustainable energy sources into the grid. To efficiently manage electricity distribution, deregulated power systems must include a smart grid and microgrid (MG). Herein, the potential for sustainable expansion of these systems, as well as their economic and environmental implications, are examined. A comprehensive grid system that integrates smart grids and MGs can offer a complete solution, catering to the evolving energy needs of communities and businesses. The advantages of establishing such a system, including improved grid stability, reliability, and increased utilization of renewable energy sources (RES), are highlighted. Furthermore, the integration of MGs and smart grids enhances the management of distributed generation, allowing power companies to optimize system operations for profitability and efficiency. By following these suggestions, businesses and stakeholders in the power sector can enhance the efficiency and responsibility of their systems, resulting in benefits for both the economy and the environment.

A wind turbine emulator is a valuable tool, which enables real-time physical simulation of a wind turbine behavior using a dedicated experimental test setup, providing a controlled environment for research and development purposes. One significant advantage of using this tool is its ability to test control algorithms designed to maximize power extraction from the wind turbine. This paper continues previous work on developing a small-scale variable-speed wind turbine emulator based on a Permanent Magnet Synchronous Generator for stand-alone applications (Benhacine et al., 2024). This paper presents enhancements made to the emulator. These improvements facilitate the assessment of a maximum power point tracking control strategy designed to optimize power extraction from the wind turbine.

In the dynamic landscape of renewable energy, the primary goal continues to be the enhancement of competitiveness through the implementation of cutting-edge technologies. This requires a strategic focus on reducing energy costs and maximizing system performance. Within this framework, the continuous online monitoring of assets is essential for efficient operations, by conducting measurements that describe the condition of various components. However, the execution of these measurements can present technical and economic obstacles. To overcome these challenges, the implementation of indirect measurement techniques emerges as a viable solution. By leveraging measurements obtained in easily accessible areas, these methods enable the estimation of quantities in regions that would otherwise be inaccessible. This approach improves the monitoring process's efficiency and provides previously unattainable information. Adopting indirect measurement techniques is also cost-effective, allowing the replacement of expensive sensors with existing infrastructure, which cuts down on installation costs and labor. This paper offers a detailed state-of-the-art review by providing an in-depth examination and classification of indirect measurement techniques and virtual sensing methods applied in the field of renewable energies. It also identifies and discusses the existing challenges and limitations within this topic and explores potential future developments. [ABSTRACT FROM AUTHOR]

The emerging energy transition is particularly described as a move towards a cleaner, lower-carbon system. In the context of the global shift towards sustainable energy sources, this paper reviews the potential and roadmap for hydrogen energy as a crucial component of the clean energy landscape. The primary objective is to present a comprehensive literature overview, illuminating key themes, trends, and research gaps in the scientific discourse concerning hydrogen production and energy policy. This review focuses particularly on specified geographic contexts, with an emphasis on understanding the unique energy policies related to renewable energy in Brazil, Austria, and Germany. Given their distinct social systems and developmental stages, this paper aims to delineate the nuanced approaches these countries adopt in their pursuit of renewable energy and the integration of hydrogen within their energy frameworks. Brazil exhibits vast renewable energy potential, particularly in wind and solar energy sectors, positioning itself for substantial growth in the coming years. Germany showcases a regulatory framework that promotes innovation and technological expansion, reflecting its highly developed social system and commitment to transitioning away from fossil fuels. Austria demonstrates dedication to decarbonization, particularly through the exploration of biomethane for residential heating and cooling. [ABSTRACT FROM AUTHOR]

Industry 4.0 is in continuous technological growth that benefits all sectors of industry and society in general. This article reviews the Digital Twin (DT) concept and the interest of its application in photovoltaic installations. It compares how other authors use the DT approach in photovoltaic installations to improve the efficiency of the renewable energy generated and consumed, energy prediction and the reduction of the operation and maintenance costs of the photovoltaic installation. It reviews how, by providing real-time data and analysis, DTs enable more informed decision-making in the solar energy sector. The objectives of the review are to study digital twin technology and to analyse its application and implementation in PV systems. [ABSTRACT FROM AUTHOR]

This commentary presents the aspects considered most relevant on the novelties introduced by the legislative amendment of the European Union Directive 2018/2001 on the promotion of the use of energy from renewable sources. The European Union raises its targets for all Member States to meet by 2030 for a 55% reduction of greenhouse gases to achieve climate neutrality by 2050. To do so, a procedural simplification in the granting of administrative authorizations has been proposed, where the implementation of renewable acceleration zones with permit-granting procedures and the implementation of the overriding public interest stand out, as well as various modifications in the field of transport, buildings and industry. As final considerations, some of the reflections on the potential effects that the Directive will have. [ABSTRACT FROM AUTHOR]

In this work, the authors present a small-scale wind turbine emulator that reproduces the steady-state performances of a wind turbine at various wind conditions. The proposed emulator is based on a three-phase induction machine powered by a variable-speed drive. The model of the emulated wind turbine comes from the PropID program, which permits an accurate modeling of its aerodynamic characteristics. In this study, the model of the Whisper100 wind turbine from Southwest Windpower is chosen for the test validation. The performances of the emulated Whisper100 wind turbine are examined by an experimental test bench under variable operating conditions. The theoretical results are compared with those obtained experimentally.

In addition to food production, energy can also be produced on agricultural land. This can lead to land use conflicts and often results in political discussions. As the energy transition progresses, the area required for renewable energies is increasing, leading to more land use conflicts. Agrivoltaics (APV) allows for continued farming alongside solar power production, providing a solution to this conflict. In this analysis, the land energy yields of different APV concepts were compared with those of other renewable energies. The results show that wind and PV can produce the most energy on land, regardless of whether the sectors are electricity, heat or transport. When considering different APV concepts on cropland, it is important to consider which area is being evaluated. A distinction can be made between the PV-system area (the visually influenced area in the landscape) and the loss of farmland. Depending on the perspective, the concepts have different advantages. The APV vertical concept enables 3 times more electricity production per loss of farmland compared to a conventional ground-mounted PV system. However, in relation to the PV-system area, the electricity yield is only 1/3 of this. The APV horizontal concept has the highest electricity yields per area of loss of farmland. The APV 3D tracing system has the highest electricity yield of all APV concepts per PV-system area. Initial economic analyses show that higher energy yields per loss of farmland are accompanied by higher costs for APV systems. These results can be used for political advice.

ABSTRACTThis study explores how solar radiation and wind speed in La Guajira vary in response to El Niño/Southern Oscillation (ENSO) events. Climatic data were collected and analysed at three iconic locations: Upper Guajira, Middle Guajira, and Lower Guajira, over a span of three decades. The data were obtained from reliable sources such as IDEAM and NASA stations. To identify El Niño and La Niña periods, Southern Oscillation Index (ONI) data were utilised. Subsequently, the data underwent detailed statistical analyses, including hypothesis testing. During El Niño, solar radiation is altered solely in Lower Guajira; for La Niña, no significant changes in solar radiation across the region are observed. Wind speed, for the most part, remains unaffected by the studied climatic phenomena in these areas, with an exception in Middle Guajira during La Niña, where it is notably influenced.

This research evaluates the potential for green hydrogen production in the Piura region, northern Peru, utilising wind, solar and biomass energy sources as well as water electrolysis. The study assesses the electrical energy generated from each renewable installation and calculates the hydrogen production potential using a 75% efficiency rate for the PEM electrolyser. The study also evaluates the potential for bioethanol reforming to produce biomass hydrogen and the environmental impact of green hydrogen as an energy carrier at a regional level. The results indicate that Piura has high potential for green hydrogen production, with solar energy being the most promising, and that green hydrogen has the potential to replace the current energy sources in the region. This research provides valuable insights into the use of green hydrogen as a renewable energy source and emphasises the need to invest in environmentally friendly hydrogen production technologies to achieve global sustainability. • This study is conducted to support the transition to a hydrogen economy in Peru. • For the hydrogen calculation, a 75% efficient PEM electrolyser has been considered. • Solar energy is the most promising renewable source to produce hydrogen in Piura. • 40.7% of the Piura's green hydrogen production could cover its total energy demand. [ABSTRACT FROM AUTHOR]

In 2023 global renewable energy investments increased by 8% to USD 623 billion, with solar investments accounting for 63% or USD 393 billion (+12%). The total installed solar photovoltaic capacity exceeded 1.6 TWp at the end of 2023, with an annual newly installed capacity of more than 420 GWp. The number of countries installing 1 GWp/year or more has increased to 35. After the increases in hardware costs for solar photovoltaic systems and battery storage in 2022, prices in both markets mostly decreased in 2023. Levelised costs of electricity for non-tracking solar photovoltaic systems as well as levelised cost of battery storage decreased. However, the global benchmark of levelised cost for electricity for tracking systems increased mainly due to higher costs for labour, balance of systems and debt in the USA. The market outlook for 2024 is optimistic as electrification of heating, transport and industry creates additional demand for renewable electricity, including solar. However, a more rapid deployment of renewable energy is needed to stay on track for not more than 1.5 °C global temperature increase. [ABSTRACT FROM AUTHOR]

INTRODUCTION: As countries work on the transition towards renewable energies that comply with the 2030 Agenda and the sustainable development goals, Artificial Intelligence is presented as a tool that is being adopted to promote the generation of renewable energies such as solar or wind power., given the support it offers to automation, assisted decisions, and production efficiency. OBJECTIVES: To analyze the key players in renewable energy and artificial intelligence research. METHODS: The Scopus database is used to obtain the scientific articles for the period 2013-2023, and the Visualization of Similarities program (VOSviewer 1.6.18) is used for data processing and analysis. RESULTS: An analysis of 822 articles shows that the countries with the highest scientific production are China (148), India (136) and the United States (81). In this regard, it is clear that there is significant collaboration between countries. With regard to the analysis of Co-occurrence - Author Keywords, three clusters are generated. The first cluster, identified with the color red, is related to artificial intelligence management; the second cluster, identified with the color green, is related to artificial intelligence innovation; and the third cluster, identified with the color blue, is related to energy models. CONCLUSION: Researchers are facing new challenges every day to respond to the irruption of the use of new algorithms in the generation of renewable energies, given the range of available tools such as deep learning or neural networks. Research results have revealed that in recent years, scientific production has understood that AI is not a trend but rather a challenge facing society, industry, countries, or education in order to achieve sustainable development. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Economic Performance (IJEP) / Revue internationale de Performance Économique is the property of University of Boumerdes / Universite de Boumerdes 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.)

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco 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.)

Copyright of Investigación Económica is the property of Universidad Nacional Autonoma de Mexico, Facultad de Economia 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.)

Today, using systems based on renewable resources is a suitable alternative to fossil fuels. However, due to problems such as the lack of access in all the times needed to supply cargo and high‐investment cost, it has not been well‐received. In this research, in addition to maintaining the technical specifications and increasing the reliability of the system due to the addition of the hydroelectric power plant to other wind and solar systems, it has been tried to use biodiesel fuel (biofuel) as an alternative to fossil fuel in the diesel generator. To identify the most economical combination of the system with the application of social costs and the limit of pollutant and greenhouse gas emission in independent mode with the help of Homer software. the results showed that adding biodiesel to the designed system, the investment costs will increase by $282,038, which has a direct impact on the cost of energy and causes an increase of 0.0115 $/kWh. While the use of biodiesel reduces the emission of carbon dioxide by 28,947 kg/year. [ABSTRACT FROM AUTHOR]

This paper scrutinizes the interrelationships among renewable energies, foreign direct investments (FDI), information and communication technologies (ICT), trade openness, and total factor productivity (TFP) in the context of Tunisia from 1984 to 2019. For that reason, we empirically use the autoregressive distributed lag model (ARDL) with breakpoint. The results of this study reveal the prominent contribution of FDI and TFP in the sustainable energy transition. Therefore, the diffusion of renewable energies should no longer be done only by the government but the private sector should take part in this transition by encouraging FDI. However, our results reveal that trade and ICT inhibit the process of transition to renewable energies in Tunisia. This fact may be explained by the economic recession, bad governance, and political instability which have delayed the implementation of new technologies in vital sectors of the economy, specifically the energy sector. On the other hand, applying a test of causality in the frequency domain has confirmed the presence of one-way causal relations from clean energy to ICT in the long term and from clean energy to FDI in the short and medium term. In addition, there is a bi-directional causal association between TFP and sustainable energy in the long term. Finally, the occurrence of causality from trade to sustainable energies was confirmed.

The different energy transition efforts in the EU-27 countries are analysed, paying special attention to the achievement of set energy targets and the real influence on energy dependence and GHG reduction. Various methodologies were used, ranging from construction of timelines to geo-statistical analysis using Geographic Information Systems (GIS) and the implementation of machine learning techniques and models, using R. The results show how different modifications of the energy saving and efficiency targets, along with lower power consumption due to the COVID pandemic, resulted in that although most of the EU-27 countries have achieved their saving and efficiency targets, this has not been reflected in a real reduction in consumption (compared to 1990 levels). In addition, the fulfilment of the objectives has not resulted in a reduction in energy dependence, generating a false sense of security and satisfaction in the fulfilment of the targets. Concerning GHGs, almost all EU-27 countries decrease their GHG emissions per capita compared to 2000 (with the exception of Lithuania, Bulgaria, Croatia and Latvia), with this decrease being mainly related to the fulfilment of renewable energy targets in transport. The conclusion highlights the need to make greater efforts to achieve saving and efficiency in the near future; otherwise, higher power consumption via renewable energy sources, while helping meet future increases in energy demand, will not impact the reduction in energy dependence compared to current levels. Achievement of energy transition targets. Contribution to the reduction in greenhouse gases and energy dependence. [ABSTRACT FROM AUTHOR]

This study investigates a hierarchical approach for modeling the mutual impacts of distribution network (DN) decisions and microgrids in a multi‐microgrid system under the cover of a two‐level problem. Due to the conflicting interests of decision‐makers in an active DN, the optimization problem has a hierarchical structure, with distribution companies (Discos) at the top attempting to maximize profits and microgrids at the bottom attempting to reduce costs. This study examines the relationship between the unpredictability of renewable energy sources and power demand. In this mechanism, the influence of the demand response program (DRP) is also considered an important aspect of intelligent systems. The two‐level nonlinear optimization problem has been transformed to a one‐level linear problem using dual theory and KKT conditions. According to the findings of the studies, even though cost reduction is the sole objective of scheduling in centralized mode, applying DRP to the system results in a 16% reduction in overall costs for the two‐level scheduling method, and a 22% reduction in daily costs when compared to two‐level scheduling without DRP. [ABSTRACT FROM AUTHOR]

The realization of a carbon-neutral civilization, which has been set as a goal for the coming decades, goes directly hand-in-hand with the need for an energy system based on renewable energies (REs). Due to the strong weather-related, daily, and seasonal fluctuations in supply of REs, suitable energy storage devices must be included for such energy systems. For this purpose, an energy system model featuring hybrid energy storage consisting of a hydrogen unit (for long-term storage) and a lithium-ion storage device (for short-term storage) was developed. With a proper design, such a system can ensure a year-round energy supply by using electricity generated by photovoltaics (PVs). In the energy system that was investigated, hydrogen ( H 2 ) was produced by using an electrolyser (ELY) with a PV surplus during the summer months and then stored in an H 2 tank. During the winter, due to the lack of PV power, the H 2 is converted back into electricity and heat by a fuel cell (FC). While the components of such a system are expensive, a resource- and cost-efficient layout is important. For this purpose, a Matlab/Simulink model that enabled an energy balance analysis and a component lifetime forecast was developed. With this model, the results of extensive parameter studies allowed an optimized system layout to be created for specific applications. The parameter studies covered different focal points. Several ELY and FC layouts, different load characteristics, different system scales, different weather conditions, and different load levels—especially in winter with variations in heating demand—were investigated. [ABSTRACT FROM AUTHOR]

The Cuban Electric Corporation requires a change in the organizational paradigm to achieve a high penetration of renewable energy sources, based on the change of the energy paradigm in the country, in order to face 2030 Agenda. This implieschanges in technology, structure and people, moreover, its create the need for this organization to develop an intense process for the organizational learning; this process is subsumed in themanagement of technological innovation. The recently International experiences and business practices have focused mainly on the study of the dimensions/factors that constitute the organizational learning, with emphasis on organizational and socio-psychological factors. In the work, the dimensions of organizational learning in the Unión Eléctrica were determined with the Dimensions in Learning Organizations questionnaire, appropriate and validated in the Cuban context by Quesada et al. (2018); and adapted by the authors. As a result, the existing gaps were determined and it is proposed improvements to raise the capacity forself-learning and assimilating the new technologies acquired. [ABSTRACT FROM AUTHOR]