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Copyright of Direito da Cidade is the property of Editora da Universidade do Estado do Rio de Janeiro (EdUERJ) 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.)

This project demonstrated that solar PV can be recruited to stabilize the grid, smooth out disturbances, manage power flows, and assist circuit switching operations. It developed a radically new, layered control framework for Distributed Energy Resources (DER) to act in response to real-time, measured conditions on their local distribution circuit, rather than waiting for a price signal to indicate preferred behavior. By enabling resources to act as good citizens on the electric grid, Phasor-Based Control (PBC) facilitates arbitrarily high solar penetration levels.

Rooftop solar photovoltaics can significantly contribute to global energy transitions by providing clean, decentralized energy without the need for new land, thereby avoiding land-use conflicts. It serves as a valuable complement to other renewable-energy sources and is expected to play a crucial role in future electricity systems. Due to the spatiotemporal variability in the solar radiation on roof surfaces, it is essential to determine the potentials of the rooftop photovoltaics and its variations in specific regions. In Germany, this potential was assessed in 5 km × 5 km zones, as well as at the federal-state and national levels. High-quality satellite and reanalysis data were used to determine the power output of the solar photovoltaics. Additionally, high-resolution (2 m × 2 m) European Settlement Map data, calibrated with solar cadastre data, were utilized to evaluate different scenarios. The results show that the potential is concentrated in larger urban areas and the southwestern part of Germany due to the availability of rooftop space and solar radiation. Overall, the national rooftop areas are substantial across all scenarios, ranging from 2100 to 4500 km2. The applied methods and scenarios provide a straightforward way to reveal the spatiotemporal variability and define realistic ranges of the solar photovoltaic potential without requiring detailed information about each building. However, assessing the rooftop photovoltaic potential remains challenging and uncertain due to the lack of large-scale, high-resolution data on building characteristics and the complexity of the solar radiation distribution in urban environments.

The demand for sustainable and cost-effective materials for photovoltaic technology has led to an increasing interest in Cu3BiS3 thin films as potential absorber layers. This review provides a comprehensive overview of the main physical properties, synthesis methods, and theoretical studies of Cu3BiS3 thin films for photovoltaic applications. The high optical absorption coefficient and band gap energy around the optimal 1.4 eV make Cu3BiS3 orthorhombic Wittichenite-phase a promising viable alternative to conventional thin film absorber materials such as CIGS, CZTS, and CdTe. Several synthesis techniques, including sputtering, thermal evaporation, spin coating, chemical bath deposition, and spray deposition, are discussed, highlighting their impact on film quality and photovoltaic performance. Density Functional Theory studies offer insights into the electronic structure and optical properties of Cu3BiS3, aiding in the understanding of its potential for photovoltaic applications. Additionally, theoretical modeling of Cu3BiS3-based photovoltaic cells suggests promising efficiencies, although experimental challenges remain to be addressed. Overall, this review underscores the potential of CBS thin films as sustainable and cost-effective materials for future PV technology while also outlining the ongoing research efforts and remaining challenges in this field.

Renewable energy communities (RECs) around photovoltaic systems on public buildings are optimal solutions to counter energy poverty, ensuring all stakeholders access to cheap, reliable, sustainable, and modern energy systems. As the neighborhood is the minimum suitable unit for the implementation of highly sustainable settlements, this article discusses the potential and criticality of RECs at this scale in southern Italy. Starting with the concept of RECs, this study presents a methodology to size sustainable urban communities around school buildings. It integrates practical energy indicators with those defining performance in vegetation and water management. The impact of these factors is analyzed to identify the ideal community size in terms of energy efficiency, economic value, and social cohesion. An interactive scorecard ranks high school sites suitable for transformation into community hubs, taking into consideration the scale of substation distribution. The findings provide empirically validated operational guidelines and best practices to support the transition to smart, efficient, and socially inclusive communities. At the urban scale, the analysis evaluates different urban morphologies, microclimates, characteristics and density of buildings, and population around each assumed community hub. The study provides valuable guidance to local designers, planners, and administrators for the implementation of sustainable technologies by preparing a map of potential RECs.

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.

In the context of sustainable development, revitalising the coal sector is a key challenge. This article examines how five innovative technologies can transform abandoned or in-use coal mines into sustainable energy centres. From solar thermal to compressed air energy storage, these solutions offer a path to a more sustainable future while addressing the decline in coal production. This approach not only promotes energy efficiency but also contributes to the mitigation of environmental impacts, thus consolidating the transition to a more responsible energy model. Thus, in this document, the reader can find the explanation of why we have opted for these technologies and not other existing ones. In addition, the economic, environmental and technical feasibility of the different technologies is analysed. Finally, real cases of the successful application of these technologies will be presented once they have gone beyond the project idea phase, and the reasons why we are calling for their transposition to the coal industry in the search for its revitalisation will be explained.

The limitation of conventional energy sources, on the one hand, and environmental concerns, on the other, have led countries increasingly to promote renewable energy technologies. Energy policy instruments play a crucial role in implementing innovation and reducing costs in renewable energy production. Countries deploy various policies to promote renewable energy technologies, such as capital subsidies, feed-in tariffs, tradable certificates, and renewable portfolio standards. However, some policies are more effective than others. Analyzing the renewable energy potential of advanced countries and combining these with indigenous factors is leading developing countries to create renewable energy technologies in their energy supply structures. This paper analyses the effect of different policy instruments in the renewable energy sectors in the Geographical Axis. Measures are analyzed and policy recommendations which, when considered, contribute to achieving renewable energy, thereby reducing emissions, mitigating climate change, and providing a clean environment and clean energy for all and future generations. It also investigated the opportunities associated with renewable energy sources, such as energy security.

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.

In recent years, there has been a significant increase in the adoption of autonomous vehicles for marine and submarine missions. The advancement of emerging imaging, navigation, and communication technologies has greatly expanded the range of operational capabilities and opportunities available. The ENDURUNS project is a European research endeavor focused on identifying strategies for achieving minimal environmental impact. To measure these facts, this article evaluates the product impacts employing the Life Cycle Assessment methodology for the first time, following the ISO 14,040 standard. In this analysis, the quantitative values of Damage and Environmental Impact using the Eco-Indicator 99 methodology in SimaPro software are presented. The results report that the main contributors in environmental impact terms have been placed during the manufacturing phase. Thus, one of the challenges is accomplished, avoiding the use phase emissions that are the focus to reduce nowadays in the marine industry.

The urgency of the energy transition is in conflict with delaying effects and options that are not optimally used in the complex, multi-stage German planning system. This also applies to the law and procedures of spatial planning, as well as the interaction of spatial planning with construction planning and sectoral law. Here, fundamental reform options have not yet been exhausted, despite many current legislative projects. Some procedural steps and options for legislative deviations can be eliminated altogether, the interaction of planning and decision-making levels can be made more effective, and subject-related certain hierarchical levels in the planning system could be omitted on a topic-specific basis. Based on a brief analysis of the initial situation for spatial planning, this paper first provides corresponding general considerations on such far-reaching acceleration options and their consequences. This is followed by the presentation of numerous specific spatial planning-related optimisation options.

Abstract 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.

There is recent interest in using model hubs – a collection of pre-trained models – in computer vision tasks. To employ a model hub, we first select a source model and then adapt the model for the target to compensate for differences. There still needs to be more research on model selection and adaption for renewable power forecasts. In particular, none of the related work examines different model selection and adaptation strategies for neural network architectures. Also, none of the current studies investigates the influence of available training samples and considers seasonality in the evaluation. We close these gaps by conducting the first thorough experiment for model selection and adaptation for transfer learning in renewable power forecast, adopting recent developments from the field of computer vision on 667 wind and photovoltaic parks from six datasets. We simulate different amounts of training samples for each season to calculate informative forecast errors. We examine the marginal likelihood and forecast error for model selection for those amounts. Furthermore, we study four adaption strategies. As an extension of the current state of the art, we utilize a Bayesian linear regression for forecasting the response based on features extracted from a neural network. This approach outperforms the baseline with only seven days of training data and shows that fine-tuning is not beneficial with less than three months of data. We further show how combining multiple models through ensembles can significantly improve the model selection and adaptation approach such that we have a similar mean error with only 30 days of training data which is otherwise only possible with an entire year of training data. We achieve a mean error of 9.8 and 14 percent for the most realistic dataset for PV and wind with only seven days of training data.

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]

The methods of developing photovoltaics on agricultural land in France are still very poorly documented and this article offers a contribution to understanding their implications. The authors explain how this development is taking place at the intersection of national public regulation, strategies of public and private actors, and emerging territorial dynamics. They show that the rules governing the use of land and the production of renewable energy constrain, but do not prohibit, photovoltaics on agricultural land. They identify a rule of priority for installation on artificialized spaces, but also four exceptions to the rule, all subject to interpretation processes. They then describe the strategies carried out in this context by agricultural stakeholders, public authorities and energy companies. At local levels, energy companies are looking for agricultural land taking into account the doctrines affirmed by public and agricultural stakeholders in the territories concerned. On a national scale, these companies are pleading for changes to the rules of the game, on the one hand to restrict regulatory obstacles to the installation of photovoltaics on agricultural land, and on the other hand to gain recognition for the approaches they present as demanding in the combination between agriculture and energy production. [ABSTRACT FROM AUTHOR]

Anaerobic digestion of the organic fraction of municipal solid wastes is a well-established process for biogas production and various forms of pre-treating the biomass have been evaluated to increase the methane yield. The present study evaluated the pre-treatment of 14 fruits and vegetables wastes (FVW) samples from a central food distribution market, using sodium hydroxide (NaOH), varying the concentration (3 and 6%) and exposure time (24 and 48 h) to the alkali reagent. The biochemical methane potential (BMP) assays of the pretreated and untreated wastes were carried out under mesophilic conditions (37 ºC). Biogas generation by the residues treated with 3% NaOH generated an average of 65% more methane (≈127 NmLCH4.gVS−1) as compared to the untreated waste (77 NmLCH4.gVS−1) and 25% more than that treated with 6% NaOH (102 NmLCH4.gVS−1). Thus, we observed that doubling the pretreatment time and concentration of the chemical reagent did not result in greater methane production. This behavior could have been associated with the presence of some compounds (sodium, pesticides, etc.) that have an inhibitory effect in the aqueous solution. Finally, this study confirmed that the optimal conditions for the pretreatment and biodigestion phases must be reevaluated according to the nature of the substrate evaluated. [ABSTRACT FROM AUTHOR]

Greenhouse gas (GHG) emissions, especially CO2, represent a global concern. Among those responsible for CO2 emissions, buildings stand out due to the consumption of energy from fossil fuels. In this sense, initiatives for the decarbonization of buildings and construction tends to contribute to the achievement of the target defined in the Paris Agreement of limiting the increase in global temperature to 1.5 degrees Celsius above pre-industrial levels, as well as in achieving the Sustainable Development Goals (SDG) and of the Triple Bottom Line (TBL). This article aimed to identify renewable energy generation technologies that can be applied in urban vertical constructions, contributing to the reduction of carbon emissions in the atmosphere. To this end, the following methodology was adopted: a survey of the Conferences of the Parties on climate change; identification of European Union Legislative Directives for the decarbonization of buildings; and a literature review to identify research that deals with renewable energy generation technologies that can be adopted in buildings. The results indicated that there seems to be a correlation between the growth in the number of articles that deal with the topic of decarbonizing buildings and the increase in world concerns about global warming. A hybrid microgrid proposal, combining different sources of renewable energy such as solar photovoltaic, wind, biomass, micro-hydroelectric, and others for vertical buildings with more than five floors, is presented as viable to achieve zero emissions in these buildings, contributing to future research, that can carry out quantitative analyses and feasibility studies, as well as for experiments and applications in existing buildings and the projects of new vertical constructions. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Administración Pública is the property of Centro de Estudios Politicos y Constitucionales 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.)

Concentrated Solar Power (CSP) plants use mirrors to reflect and concentrate sunlight onto a receiver, to heat a fluid and store thermal energy, at high temperature and energy density, to produce dispatchable heat and/or electricity. The secondary mirror is a critical component in the optical system of certain Solar Power Tower plants (SPT), as it redirects the concentrated sunlight from the primary mirror onto the receiver, which can be arranged at ground level. In this study, we propose a design optimisation for the secondary mirror of a CSP plant. The design optimisation method consists of two steps. The first step involves the use of the finite element simulation software Abaqus 2022 to analyse the structural performance of the secondary mirror under thermal loads and wind. The second step consists of the use of simulation results to identify the combination of design parameters and best performances, with respect to both design constraints and structural safety. This is carried out by developing an algorithm that selects those configurations which satisfy the constraints by using safety coefficients. The proposed optimisation method is applied to the design of a potential configuration of a secondary mirror for the beam-down of the CSP Magaldi STEM® technology, although the methodology can be extended to other components of CSP plants, such as primary mirrors and receivers, to further enhance the structural performance of these systems. [ABSTRACT FROM AUTHOR]

High voltage direct current (HVDC) systems are efficient solutions for the integration of large-scale renewable energy sources with the main power grids. The rapid development of the HVDC grid has resulted in a growing interest in DC circuit breakers (DCCBs). A fast and reliable circuit breaker is a necessary requirement in the development of large scale HVDC grids. This paper provides a comprehensive review and survey of the HVDC CBs and discusses potential research directions. Operational principles and the main features of various DCCBs are described and their merits and shortcomings are also highlighted. [ABSTRACT FROM AUTHOR]

The increase in demand, and thus the need to lower its price, has kept C-based fuels as the main source. In this context, the use of oil and gas has led to increased climate change, resulting in greenhouse gases. The high percentage of eissions, over 40%, is due to the production of electricity, heat, or/and energy transport. This is the main reason for global warming and the extreme and increasingly common climate change occurrences, with all of nature being affected. Due to this reason, in more and more countries, there is an increased interest in renewable energies from sustainable sources, with a particular emphasis on decarbonisation. One of the energies analysed for decarbonisation that will play a role in future energy systems is hydrogen. The development of hydrogen–natural gas mixtures is a major challenge in the field of energy and fuel technology. This article aims to highlight the major challenges associated with researching hydrogen–natural gas blends. Meeting this challenge requires a comprehensive research and development effort, including exploring appropriate blending techniques, optimising performance, addressing infrastructure requirements, and considering regulatory considerations. Overcoming this challenge will enable the full potential of hydrogen–natural gas blends to be realised as a clean and sustainable energy source. This will contribute to the global transition to a greener and more sustainable future. Several international, European, and Romanian studies, projects, and legislative problems are being analysed. The mix between H2 and natural gas decreases fugitive emissions. In contrast, using hydrogen increases the risk of fire more than using natural gas because hydrogen is a light gas that easily escapes and ignites at almost any concentration in the air. [ABSTRACT FROM AUTHOR]

The article analyzes the evolution of the EU's energy and climate policy to explain that since Russia invaded Ukraine, a reformulation has occurred, characterized by the reconciliation of climate objectives with energy security and the flexibility of the environmental dimension. This rearrangement of the objectives of environmental policies has begun to take shape with the REPowerUE Plan, an energy package with which the EU intends to respond to the two dimensions of Europe's energy crisis: the need to deepen the transition towards climate neutrality and the duty to abandon dependence on Russian hydrocarbons. The review is based on two specific measures: Commission Delegated Regulation (EU) 2022/1214 and Council Regulation EU 2022/2577, key regulations for the massive deployment of renewable energies. [ABSTRACT FROM AUTHOR]

Carbonizing Amazon wood waste with similar physical, chemical, and energy properties improves the quality of the derived charcoals. However, the effect of a quality-based grouping of wood on the productivity of a charcoal production unit remains an unfulfilled gap. This research compares the carbonization indexes of segregated and non-segregated wastes performed in brick kilns of an industrial facility in the Brazilian Amazonia. The wastes came from the Reduced Impact Exploration of twenty-three Amazonia species. Wood's physical properties (moisture, basic and apparent densities, and maximum moisture content) were determined by species. Segregating the wastes into four quality groups provided alternative carbonization, while the randomly mixed wastes underwent carbonization as the usual methodology. Overall productivity and productivity per kiln were explored for the five carbonization models. The research revealed that segregating the logging wastes raised the filled mass and volume of raw material, productivity, and carbonization yield per kiln. It promoted gains ranging from 6.81 (group 3) to 30.23% (group 1) for the charcoal volume and 17.65 (group 4) to 70.59% (group 1) for the charcoal mass per kiln. This study revealed a practical and straightforward solution to improve the sustainability and effectiveness of the wood production chain in the Amazonia region. [Display omitted] [ABSTRACT FROM AUTHOR]

A main restriction of renewables from intermittent sources is the mismatch between energy resource availability and energy requirements, especially when extensive power plants are producing at their highest potential causing huge energy surpluses. In these cases, excess power must be stored or curtailed. One alternative is increasing urban solar potential which could be integrated to feed electric buses directly or alternatively through hydrogen (H2) as an energy vector. H2 from renewable electricity can be stored and used directly or through fuel cells. This study aims to determine the H2 capability that could be achieved when integrating large-scale photovoltaic (PV) generation in urban areas. This analysis was carried out by determining the PV energy potentially generated by installing PV in Cuenca City downtown (Ecuador). Cuenca is in the process of adopting renewal of the public transport vehicle fleet, introducing a new model with an electric tram main network combined with "clean type buses". The conventional diesel urban transport could be replaced, establishing a required vehicle fleet of 475 buses spread over 29 routes, emitting 112 tons of CO2 and burning 11,175 gallons of diesel daily. Between the main findings, we concluded that the electricity that could be produced in the total roof area exceeds the actual demand in the study area by 5.5 times. Taking into account the energy surplus, it was determined that the available PV power will cover from 97% to 127% of the total demand necessary to mobilize the city bus fleet. The novelty of this work is the proposal of a combined methodology to find the potential to feed urban transport with urban solar power in cities, close to the equatorial line. [ABSTRACT FROM AUTHOR]

Isolated microgrid (IMG) power systems face the significant challenge of achieving fast power sharing and stable performance. This paper presents an innovative solution to this challenge through the introduction of a new droop control technique. The conventional droop controller technique used in inverter-based IMG systems is unable to provide satisfactory performance easily, as selecting a high droop controller gain to achieve fast power sharing can reduce the system's stability. This paper addresses this dilemma by proposing a modified droop control for inverter-based IMGs that effectively dampens low-frequency oscillations, even at higher droop gain values that would typically lead to instability. The design is described step-by-step, and the proposed controller's effectiveness is validated through time domain simulation analysis. The results demonstrate the significant improvement in stability and fast power sharing achieved with the proposed controller. This innovative technique presents a promising solution for achieving fast power sharing and stable performance in IMG power systems. [ABSTRACT FROM AUTHOR]

Electromobility has been crucial in mitigating transport emissions and meeting reduction targets. From this context, this literature review's main objective is to analyze the resilience of the electromobility supply chain that integrates renewable energy sources. This literature review focuses on the resilience of the electromobility supply chain and how it can incorporate renewable energy sources. The central argument is that the success of the supply chain depends on its ability to resist, adapt, and recover from disruptions that affect operations. We comprehensively review current knowledge in three stages: identifying critical components of resilience, highlighting challenges and opportunities for risk mitigation, establishing strategic alliances, and synthesizing vital issues, trends, and emerging areas that require further research. The findings emphasize the importance of improving supply chain resilience for sustainable transportation and environmental preservation under five guidelines: emergency preparedness, monitoring and evaluation, sustainable practices, maintenance of essential services, and prevention of operational disruptions. [ABSTRACT FROM AUTHOR]

This paper evaluates investment incentives for wind power under two market designs: uniform and nodal pricing. An electricity system model is developed, that allows for investments in wind power capacities while carefully accounting for static transmission grid constraints. Wind power capacities are assumed to reach the same expansion target by 2030 under both market designs. The results show that the introduction of nodal prices leads to investments in wind power plants shifting to locations with lower wind yield. The amount of electricity fed into the grid from wind power plants, however, is higher under nodal pricing as curtailment is reduced by two-thirds. Furthermore, grid-optimal wind locations are shown to require higher direct subsidy payments but decrease yearly variable supply costs by 1.5% in 2030. Yet distributional effects present an obstacle to the introduction of a nodal pricing regime, with about 75% of German demand facing an increase in electricity costs of about 5%. To mitigate the distorted investment signals arising from uniform pricing regimes, restricting investments within grid expansion areas proves to be more promising than including latitude-dependent generator-component in the grid tariff design. [ABSTRACT FROM AUTHOR]

Renewable power generation from wind and solar energy is strongly dependent on the weather. To plan future sustainable energy systems that are robust to weather variability, a better understanding of why and when periods of low wind and solar power output occur is valuable. We call such periods of low wind speed and insolation "Dunkelflauten", the German word for "dark wind lulls". In this article, we analyse the meteorological conditions during Dunkelflauten in Germany by applying the concept of weather regimes. Weather regimes are quasi‐stationary, recurrent and persistent large‐scale circulation patterns that explain multi‐day atmospheric variability (5–15 days). We use a regime definition that allows us to distinguish four different types of blocked regimes, characterized by high‐pressure situations in the North Atlantic‐European region. We find that Dunkelflauten in Germany occur mainly in winter when the solar power output is low due to the seasonal cycle of solar irradiance and wind power output drops for several consecutive days. A high‐pressure system over Germany, associated with the European Blocking regime, is responsible for most of the Dunkelflauten. Dunkelflauten during the Greenland Blocking regime are associated with colder temperatures than usual, causing higher electricity demand, and would present a particular challenge as space heating becomes electrified in the future. Furthermore, we show that Dunkelflauten occur predominantly when a weather regime is well established and persists longer than usual. Our study provides novel insight into the occurrence and meteorological characteristics of Dunkelflauten, which is essential for planning resilient energy systems and supporting grid operators to prepare for potential shortages in supply. [ABSTRACT FROM AUTHOR]

Energy is the most important source, being a current topic, primordial in the existence of mankind. Climate change, pollution and energy insecurity are problems, and addressing them requires significant majors of energy infrastructures. New requirements in the field of sustainable development have led countries around the world to challenge energy production methods and increase the share of energy produced on the basis of renewable energies. Alternative sources, such as the sun, wind, hydropower, wave energy, geothermal energy, bioenergy (biofuels, animal residues), biogas-biomass-biodiesel, hydrogen, fuel cells, magneto-hydrodynamic generators, can provide the energy needed to develop basic activities and Basic. it is a priority subject of concern in recent years, and the maintenance, development and progress of our civilization depends on its solution. Economic development and living standards are correlated with an accelerated increase in energy consumption. [ABSTRACT FROM AUTHOR]

Copyright of Revista Venezolana de Gerencia (RVG) is the property of Revista de Filosofia-Universidad del Zulia 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.)

Fuel Cells (FCs) constitute an enabling technology for the integration of renewable energies and for the deployment of the next generation of power grids, the so-called Smart Grids/Microgrids. These devices perform the process of converting hydrogen into electricity without emitting pollutant emissions. Characteristic curves, mainly polarization curves, are a paramount resource to study the performance of FCs and to determine accurate models that fit their behavior. This paper presents the characterization of a commercial Polymer Electrolyte Membrane (PEM) FC consisting of 24 cells in series with a nominal output of 500 W, used to supply electricity in a Smart Microgrid involving renewable energies and hydrogen. The process evolution takes place under different laboratory conditions, so voltage, current, and hydrogen flow are measured and plotted to build the polarization curves. The equipment and components involved in the operation of the FC are described, as well as their technical features. Namely, a metal-hydride bottle is used to store the hydrogen that feeds the FC, an electronic programmable load establishes different charge conditions, and a precision multimeter collects the measurements provided by a set of sensors physically coupled to the FC. The characterization conducted in this research is envisioned to be used to build a digital twin of the FC. The developed experimentation and achieved results are described. The obtained results show a proper match between the experimental data and the curves reported in the literature and in the FC datasheet. [ABSTRACT FROM AUTHOR]

The scarcity of fossil fuels and the increase in energy demand, which is growing year after year, have led to the rapid development of technologies and systems for harnessing renewable energy sources (RES). Among these, photovoltaic (PV) energy and its associated technologies stand out for their adaptability and versatility, highlighting among the rest for being one of the most efficient methods for harnessing energy from RES. Beyond the generation processes, the problems derived from the management and monitoring of these systems are outlined. This paper develops the design and implementation of a system based on Internet of Things (IoT) applications for a medium-scale power grid located within the university campus of Badajoz, Extremadura. This grid is partially powered by PV energy by means of a set of 56 panels, with a total power of 60 kW, installed on a solar tracker. The system presented develops the functions of acquisition, management, and monitoring of data from the solar tracker, the transformation center, and the consumption derived from the activities carried out at the School of Industrial Engineering, whose electricity supply comes from the two previous sources. The elements involved in the physical installation are described, as well as the sensors responsible for data acquisition. Regarding the software, the IoT programs used for the development of the system are presented, as well as their intercommunication and handling. Finally, the proposed system is shown under real operation conditions. [ABSTRACT FROM AUTHOR]

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Copyright of Strategy & Development Review is the property of Strategy & Development Review 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.)

The research paper considers the dual role of renewable energy in achieving environmental safety and promoting economic growth. The ARDL methodology was applied to data collected from high-income countries in Europe in the period 1990–2020.The results showed that there was a positive and strong effect of renewable energy on reducing CO2 emissions in the long term, but its effect in the short term was weak. Fossil energy and economic growth positively affected the increase in emissions. Likewise, the expected role of renewable energy in promoting economic growth was partially achieved in the short term, but was not achieved in the long term. The study encouraged the efforts of European countries to promote and accelerate the transition towards renewable energy in order to promote environmental safety and achieve energy independence from abroad.

This study focuses on economic modelling of the energy consumption in buildings considering controllable appliances scheduling in stand-alone electrical grids. The economic modelling is implemented via coordination of the energy generation of the renewable energies with controllable appliances by using demand shifting strategy (DSS). On the other side, uncertainty and stochastic modelling of the renewable energies are considered in the optimal coordination. Also, optimal coordination is modelled by multi-criteria problems of the technical and economic indices. Solving of the multi-criteria problem is done by fuzzy and augmented epsilon-constraint methods. To investigate the effectiveness of the proposed model, it is applied on a 25-node test system through defining two scenarios. The obtained results show that modelling the optimal coordination to supply the demand of the grid can increase the efficiency of the system.

Amaç: Bu çalışmayla karbon salınımının Balkan ülkeleri ve Türkiye'nin büyümesine etkisinin olup olmadığının, eğer varsa, bu etkinin ne yönde ve ne yoğunlukta olduğunun bulunması amaçlanmıştır. Yöntem: Bu çalışmada karbon emisyonları ve yenilenebilir enerji üretiminin Türkiye ve 12 Balkan ülkesinin büyümesine etkileri analiz edilmiştir. Çalışmada mekânsal etkileşimleri ortaya çıkarabilmek için Mekânsal Otokorelasyon Analizi yapılmıştır. Büyümeyi etkileyen faktörleri incelemek için ise Havuzlanmış En Küçük Kareler yöntemi kullanılmıştır. Bulgular: Çalışmanın sonuçlarına göre Balkan ülkelerinde yenilenebilir enerjinin büyüme üzerindeki olumsuz etkisinin, yenilenebilir enerjinin henüz gelişme aşamasında olması ve üretimdeki payının hala düşük olmasından kaynaklandığı söylenebilir. Yenilenebilir enerji sektöründeki yatırımların sınırlı olması yenilenebilir enerji sektörünün yavaş yayılmasına neden olmaktadır. Özgünlük: Çalışmada farklı bir yöntem olarak mekânsal panel modellerinin kullanılması ve kapsamın Türkiye ile sınırlı tutulmayıp tüm Balkan ülkelerini de kapsaması bu çalışmanın özgün değerini oluşturmaktadır.

In this paper, bi-level optimization model is proposed for optimal energy trading between microgrids (MGs) and distribution companies (Discos) with consideration of the renewable energies. The first level modelling is maximizing MGs’ profit and the second level is related to maximization of the Discos profit. In proposed system, power trading between MGs and Discos is considered. As well, renewable energies and demand management strategy are modelled in system for optimal energy consumption. The optimization modelling is solved by Particle Swarm Optimization (PSO), and results of the two case studies show optimal solution of prosed strategy in energy optimization.