Reduce Greenhouse Gas Emissions Research Articles

Microbial consortia driving (ligno)cellulose transformation in agricultural woodchip bioreactors

ABSTRACT Freshwater ecosystems can be largely affected by neighboring agriculture fields where potential fertilizer nitrate run-off may leach into surrounding water bodies. To counteract this eutrophic driver, farmers in certain areas are utilizing denitrifying woodchip bioreactors (WBRs) in which a consortium of microorganisms convert the nitrate into nitrogen gases in anoxia, fueled by the degradation of lignocellulose. Polysaccharide-degrading strategies have been well described for various aerobic and anaerobic systems, including the use of carbohydrate-active enzymes, utilization of lytic polysaccharide monooxygenases (LPMOs) and other redox enzymes, as well as the use of cellulosomes and polysaccharide utilization loci (PULs). However, for denitrifying microorganisms, the lignocellulose-degrading strategies remain largely unknown. Here, we have applied a combination of enrichment techniques, gas measurements, multi-omics approaches, and amplicon sequencing of fungal ITS and procaryotic 16S rRNA genes to identify microbial drivers for lignocellulose transformation in woodchip bioreactors and their active enzymes. Our findings highlight a microbial community enriched for (ligno)cellulose-degrading denitrifiers with key players from the taxa Giesbergeria , Cellulomonas , Azonexus, and UBA5070 ( Fibrobacterota ). A wide substrate specificity is observed among the many expressed carbohydrate-active enzymes (CAZymes) including PULs from Bacteroidetes. This suggests a broad degradation of lignocellulose subfractions, including enzymes with auxiliary activities whose functionality is still puzzling under strict anaerobic conditions. IMPORTANCE Freshwater ecosystems face significant threats from agricultural runoff, which can lead to eutrophication and subsequent degradation of water quality. One solution to mitigate this issue is using denitrifying woodchip bioreactors (WBRs), where microorganisms convert nitrate into nitrogen gases utilizing lignocellulose as a carbon source. Despite the well-documented polysaccharide-degrading strategies in various systems, the mechanisms employed by denitrifying microorganisms in WBRs remain largely unexplored. This study fills a critical knowledge gap by revealing the degrading strategies of denitrifying microbial communities in WBRs. By integrating state-of-the-art techniques, we have identified key microbial drivers including Giesbergeria , Cellulomonas , Azonexus , and UBA5070 ( Fibrobacterota ) playing significant roles in lignocellulose transformation and showcasing a broad substrate specificity and complex metabolic capability. Our findings advance the understanding of microbial ecology in WBRs and by revealing the enzymatic activities, this research may inform efforts to improve water quality, protect aquatic ecosystems, and reduce greenhouse gas emissions from WBRs.

Geothermo-mechanical energy conversion using shape memory alloy heat engine

AbstractThe shift towards renewable energy sources like geothermal energy has become desirable due to the recurrent energy crisis and global warming challenges influenced by fossil fuels. Geothermo-mechanical energy conversion using shape memory alloy (SMA) heat engines presents a novel and sustainable approach for harnessing geothermal energy. Shape memory alloys, known for their ability to undergo reversible phase transformations driven by temperature changes, are ideal for thermal-to-mechanical energy conversion. This paper explores the design and performance of an SMA heat engine that utilizes geothermal heat sources to drive mechanical work. The engine operates by cycling between the high-temperature geothermal environment and a cooler sink, exploiting the shape memory effect to generate mechanical motion. By integrating geothermal energy and SMA technology, this system offers a potential solution for renewable energy generation, with applications in remote or off-grid locations. The paper also investigates output power and the thermodynamic efficiency. A model is formulated and the engine behavior is simulated. A series of experiments are conducted for engine output power and efficiency. The model is compared to the experimental data for validation. The engine developed a maximum power of 3.5, 8.5, and 11.5 watts at 60, 80, and 90 °C respectively. The proposed SMA-based geothermo-mechanical energy conversion system offers a promising solution for efficient, reliable, and scalable geothermal energy harvesting. This research contributes to the development of innovative, efficient geothermal energy conversion technologies, supporting global renewable energy goals and reducing greenhouse gas emissions. This innovative energy conversion mechanism could play a key role in the future of sustainable power generation.

Ionomer and Membrane Designs for Low-temperature CO2 and CO Electrolysis.

Low-temperature electroreduction of CO2 and CO (CO(2)RR) into valuable chemicals and fuels offers a promising pathway to reduce greenhouse gas emissions and achieve carbon neutrality. Today's low-temperature CO(2)RR technology relies on the use of ionomers, polymers with ionized groups, primarily as catalyst layer (CL) additives. In the meantime, ionomers can assemble into ion-exchange membranes (IEMs), serving as important components of electrolyzers. According to the ion-exchange functions, ionomer additives are classified as cation-exchange ionomers (CEIs) and anion-exchange ionomers (AEIs); similarly, IEMs are divided into cation-exchange membranes (CEMs) and anion-exchange membranes (AEMs), as well as the multilayer polymer electrolytes (MPEs). Recent studies show that ionomer additives can regulate the catalytic microenvironment and thereby enhance performance towards desired products. This Review discusses the roles of ionomer additives and IEMs in CO2 and CO reduction reactions, highlighting the latest mechanistic insights and performance advances. It outlines challenges in designing ionomer additives and IEMs to improve product selectivity, energy efficiency (EE), and operational lifetime of CO(2)RR electrolyzers, while also providing perspectives on future research directions. The aim is to connect the current status of ionomer and membrane development with performance metrics analysis, offering insights for the advancement of commercially relevant low-temperature CO(2)RR electrolyzers.

Innovation and future development direction of hydrogen fuel cell vehicles

With the increasing problem of global climate change, reducing greenhouse gas emissions has become an urgent issue for all countries to solve. The pollution of the Earth is gradually becoming severe. The extensive use of fossil fuels is a major cause of this problem. In this critical situation, energy with the least carbon emissions should be used to minimize air pollution and the harm caused by it. Hydrogen energy is currently a clean energy alternative that can achieve low carbon emissions. As a new energy vehicle, hydrogen fuel cell vehicles have the advantages of being clean, efficient, and environmentally friendly. Compared with traditional fuel vehicles, hydrogen fuel cell vehicles only produce water and a small amount of oxygen during operation, and do not emit harmful substances such as carbon dioxide, which helps to significantly reduce carbon emissions in the transportation sector. So, hydrogen fuel cell vehicles are a viable and clean solution. In this paper, the performance evaluation, cost analysis, and future impact of hydrogen-powered vehicles are analyzed, and the future development trend of hydrogen energy battery vehicles is discussed. As a new energy vehicle, hydrogen fuel cell vehicles have important strategic significance and market prospects. The purpose of this paper is to provide a useful reference for the development of China's new energy vehicle industry through the study of hydrogen fuel cell vehicles.

Experimental and modelling analysis of waste material-based geopolymer concrete incorporated with crumb rubber particles

Rubberized geopolymer concrete (RuGPC) emerges as an eco-friendly alternative to conventional concrete, significantly reducing greenhouse gas emissions. This study investigates the use of steel slag (SS) in varying proportions (30 %, 35 %, and 40 %) as a replacement for ground granulated blast furnace slag (GGBS) in geopolymer concrete, with crumb rubber (CR) replacing crusher dust (CD) as fine aggregate due to its increasing demand. The research focuses on understanding the impact of aluminosilicate materials on the mechanical, thermal, and microstructural properties of geopolymer concrete cured at 60°C. Advanced characterization techniques, including Scanning Electron Microscopy (SEM), Energy-Dispersive X-ray Spectroscopy (EDX), X-ray Diffraction (XRD), and Fourier Transform Infrared Spectroscopy (FTIR), were employed. SEM and EDX analyses revealed that the microstructural properties of GGBS and SS materials, mainly Na/Si, Si/Al, H₂O/Na₂O, and Na/Al ratios, significantly influence RuGPC performance through gel formation. FTIR analysis indicates a shift in the stretching vibrations of GGBS and SS to lower wavenumbers due to geopolymerization changes. XRD results show the formation of C-S-H gel at around 27–30° 2theta, attributed to increased GGBS and SS content. Despite efforts to incorporate CR into geopolymer matrices, challenges in mitigating strength degradation persist. To address this, a predictive model was developed to understand the key factors affecting RuGPC performance. Six machine learning techniques—M5P (pruned and unpruned), random forest, random tree, linear regression, and support vector machine with various kernels (PUK, RBF, PK, and NPK), and artificial neural network (ANN)—were employed to predict the physical and thermal behavior of RuGPC. The analysis identified ANN-based models as the most effective. Sensitivity analysis highlighted the grade of rubber and the CR replacement percentage by volume of CD as the most influential parameters determining RuGPC compressive strength, density, and thermal conductivity. Moreover, The economic analysis revealed that RuGPC mixtures were 1.2–11.61 % more cost-effective than OPC concrete. These findings underscore the importance of predictive model development in optimizing RuGPC properties for practical applications, offering valuable insights for decision-making processes.

Optimization and energy management strategies, challenges, advances, and prospects in electric vehicles and their charging infrastructures: A comprehensive review

Electric vehicles (EVs) are at the forefront of global efforts to reduce greenhouse gas emissions and transition to sustainable energy systems. This review comprehensively examines the optimization and energy management strategies for EVs and their charging infrastructure, focusing on technological advancements, persistent challenges, and future prospects. By the end of 2023, the number of electric cars on the road globally reached 40 million, with 14 million new registrations recorded in 2023 alone—95% of which were in China, Europe, and the United States. Governments across the globe have introduced incentives and policies to promote EV adoption, and by 2030, EVs are expected to comprise a significant portion of light-duty vehicles in major regions. Despite these encouraging developments, challenges such as range anxiety, the relatively low energy density of 200–300 Wh/kg in Li-ion batteries (compared to 13,000 Wh/kg for petroleum), and insufficient public charging infrastructure remain key barriers to widespread EV adoption. This review also explores the critical role of smart grid technologies, vehicle-to-grid (V2G) systems, and renewable energy integration in supporting the growing EV market. V2G technologies are projected to enhance grid stability by 20–30% and reduce operational costs by 10–15% through load balancing and real-time energy price forecasting. By thoroughly analyzing optimization techniques such as load balancing, dynamic scheduling, and real-time energy management, this paper offers a roadmap for researchers, policymakers, and industry stakeholders to accelerate the integration of EVs into global energy systems and enhance sustainability in urban transportation networks.

Rethinking Natural Gas Infrastructure: How Non‐Pipe Alternatives are Shaping Utility Planning

As greenhouse gas (GHG) emission reduction efforts accelerate, utility regulators nationwide are rethinking the role of natural gas in reducing GHG emissions over current levels. A key strategy emerging in several states is the mandatory consideration of non‐pipe alternatives (NPAs); solutions that avoid the need for new natural gas hook‐ups. California, Massachusetts, New York, and Colorado are leading the effort, and other states like Maryland, Hawaii, Oregon, Minnesota, and New Jersey are not far behind. Before gaining approval for traditional new pipeline investments as opposed to pipeline replacement, regulators are requiring utilities to thoroughly analyze the costs and benefits of NPAs. This is compelling natural gas utilities to rethink their business models and find the most effective ways to present NPAs to regulators and customers. With this enhanced scrutiny and regulatory mandates that are increasingly focusing on sustainability, natural gas distribution utilities are at a crossroads. The challenge lies in adapting to these expectations and innovating scalable investments that will meet regulatory demands while driving the transition to a cleaner energy future.

A hybrid metaheuristic and simulation approach towards green project scheduling

AbstractThis research tackles the environmental concern of greenhouse gas emissions in the execution of projects, with a focus on multi-site projects where the transportation of resources is a major source of emissions. Despite growing consciousness among consumers and stakeholders about sustainability, the domain of project scheduling has often overlooked the environmental impact. This paper seeks to bridge this oversight by exploring how to reduce greenhouse gas emissions during both project activities and resource transportation. A novel approach is proposed, combining a simulation model with an improved non-dominated sorted genetic algorithm. The simulation model incorporates the stochastic nature of emission rates and costs. This method is further refined with innovative techniques such as magnet-based crossover and mode reassignment. The former is a genetic algorithm operation inspired by magnetic attraction, which allows for a more diverse and effective exploration of solutions by aligning similar ’genes’ from parent solutions. The latter is a strategy for reallocating resources during project execution to optimize efficiency and reduce emissions. The efficacy of the proposed method is validated through testing on 2810 scenarios from established benchmark libraries, 100 additional scenarios adhering to the conventional multi-site problems, and a case study. The Best-Worst Method (BWM) is applied for identifying the best solution. The findings indicate substantial enhancements compared to traditional methods with a 12.7% decrease in project duration, 11.4% in costs, and a remarkable 13.6% reduction in greenhouse gas emissions.

Road to net zero: Greenness of Leadership in Energy and Environmental Design and California Green Building Standards Code in the multifamily sector

AbstractThis study evaluates the effectiveness of Leadership in Energy and Environmental Design (LEED) and California Green Building Standards Code (CALGreen) sustainability programs in reducing greenhouse gas (GHG) emissions in multifamily buildings. We find that CALGreen effectively reduces GHG emissions by 7.2%–11.6%. However, among properties completed during the CALGreen period (on or after 2015), LEED‐certified properties exhibit 14.1%–20.8% higher GHG emissions compared to non‐LEED‐certified buildings. We attribute this result to the emphasis on theoretical design versus actual energy performance of those programs. Furthermore, our research reveals that LEED‐certified buildings completed before the implementation of CALGreen command a rent premium of 4.7%–5.4%. However, this LEED premium diminishes during the CALGreen period. Non‐LEED properties completed during the CALGreen period show limited evidence of rent premiums.

Projecting short to medium-term effects of carbon emissions trading on Serbia's GDP

This paper presents an approach to assess the short to medium-term effects of the Emissions Trading System (ETS), an economic and climate policy instrument aimed at reducing greenhouse gas emissions, on GDP from the expenditure side. The analysis focuses on Serbia's electricity sector, which relies heavily on lignite-based production dominated by state-owned enterprises. The obtained projections suggest that in the short term, the introduction of an ETS may lead to slower GDP growth compared to official forecasts. However, by 2030, accelerated growth is observed, eventually converging with and even surpassing the projected growth in scenarios characterized by higher investments.

Potential of conservation agriculture practice in climate change adaptation and mitigation in Ethiopia: a review

Land degradation is a major problem in Ethiopia, as it contributes to climate change by releasing greenhouse gases (GHG) and slowing carbon sequestration rates. The objective of this review was to assess the role of conservation agriculture (CA) in climate change adaptation and mitigation in Ethiopia. The critical review method processes for identifying and synthesizing peer-reviewed research and review articles, reports, proceedings, and book chapters were followed, with materials obtained from relevant search engines. The findings of the various reports revealed that minimum tillage assists in soil moisture conservation when compared to conventional tillage. Conservation tillage maintains crop residue, reduces soil temperature significantly, and increases nutrient buildup in the surface soil layer, all of which lead to higher crop growth and production thus help as adaptation to climate change. Furthermore, agriculture and other land uses significantly contribute to greenhouse gas emissions; nevertheless, conservation agricultural methods improve soil organic carbon (SOC), soil aggregation, and carbon in aggregate, as well as soil health that contribute to climate changing mitigation. Several studies found that soil health indicators such as soil aggregation, soil organic carbon storage, soil enzymes, and microbial biomass improved under conservation tillage practices, potentially improving the carbon-nitrogen cycle, soil stability, and overall crop productivity. In terms of climate adaptation and mitigation, CA is one of the non-substitutable choices for reducing greenhouse gas emissions. Crop diversity, increased nitrogen consumption efficiency, crop rotation, improved soil carbon sequestration methods; crop residue retention, minimum soil disturbance, manure incorporation, and integrated farming systems are all important factors in minimizing GHG emissions. Moreover, factors impeding CA adoption include a lack of appropriate equipment and machinery, weed control methods, the use of crop residue for fuel wood and animal feed, a lack of awareness about the benefits of CA on soil health and sustainability, and a lack of government technical and financial support for smallholder farmers. Adoption and scaling up of CA practices are critical for ensuring a sustainable development goal and resilient future. Thus, relevant stakeholders should consider the aforementioned considerations while promoting the technology on a large scale through integration with enhanced technology.

Inequality in agricultural greenhouse gas emissions intensity has risen in rural China from 1993 to 2020.

Reducing greenhouse gas (GHG) emissions in crop production while ensuring emission equity is crucial for sustainable agriculture in China, yet long-term large-scale data on GHG emissions intensity (GEI) are limited. Using an extensive dataset based on surveyed farm households (n > 430,000 households) from 1993 to 2020, we reveal that 2015 was a turning point for GEI levels, which dropped 16% in 2020, while inequality-measured as average GHG emissions per unit planted area-increased 13%. The key driving forces behind such trends included farmland input, all other inputs, agricultural labour input and total factor productivity but not capital input. Notably, farmland input and all other inputs contributed to 80% of the inequality, while contribution of total factor productivity gradually declined and was replaced by migration-induced agricultural labour input differences. Reducing GEI levels and guarding against widening inequality require optimizing production factor inputs.

The Way Forward in the Energy Transition; Good Practices and Challenges at Wageningen University & Research

Reducing greenhouse gas (GHG) emissions due to changes in energy used in buildings is the most successful part of Wageningen University & Research’s (WUR) climate policy. In this article the authors evaluate sustainable energy measures and identify key success factors, based on internal documents, discussions with stakeholders, and relevant literature. The role of government and stakeholders has been important, as were the technical possibilities to take a major step with constructing the heat and cold storage on campus. Geopolitical factors also played a role, in particular the war in Ukraine, which increased energy prices, acutely reinforcing the need for energy savings. In addition to saving energy, WUR aims to contribute to the energy transition by generating green electricity with wind turbines and solar panels. Furthermore, electricity used from the grid is offset with wind energy through Dutch guarantees of origin (GVOs), allowing us to offset GHG emissions for electricity at zero. Yet, there are other reasons to save as much as possible on electricity use. In addition to environmental considerations, congestion of the electricity grid plays a role, which is largely associated with the energy transition. Looking ahead, we describe further potential energy reduction opportunities and related challenges. As described in the Rough Outline of WUR Energy Transition 2050 [1], WUR provides clear targets and possible sets of measures to achieve these targets. Challenges include the uncertainty surrounding technological solutions and the availability of funding. We recently expanded our carbon footprint to include Scope 3 emissions of purchased goods and services. An additional challenge is the reduction of implicit energy use through the purchasing chain.

КОНЦЕПЦІЯ НИЗЬКОВУГЛЕЦЕВОЇ ЕКОНОМІКИ: МІСЦЕ В СИСТЕМІ СУЧАСНИХ ЕКОЛОГООРІЄНТОВАНИХ СУСПІЛЬНИХ КОНЦЕПЦІЙ

Introduction. The concept of a low-carbon economy is designed to solve the problem of climate change by transforming the socio-ecological-economic system based on the principles of zero greenhouse gas emissions. However, this issue is also addressed in most other environmentally oriented social concepts. The purpose of the article. The purpose of this article is to determine the place of the low-carbon economy within the system of modern environmentally oriented concepts of social development. Methods. The research was conducted by using general scientific and general economic methods. In particular, the most common methods were abstraction, generalization, comparison, induction, deduction, monographic method, axiomatic method, methods of retrospective and systematic analysis. Results. To achieve this goal, the author analyzed the most popular of environmentally oriented social concepts: the concept of sustainable development, the green economy concept, the blue economy concept, the concept of the blue (ocean) economy, and the circular economy concept. Additionally, a schematic model was constructed to illustrate the position of the low-carbon economy within the system of environmentally oriented concepts of social development. The study provides a retrospective analysis of the inception and evolutionary development of each of the researched concepts. Their guiding ideas, main principles, goals, and tasks were identified. Furthermore, the article differentiates between complementary and interchangeable concepts and shows the horizontal and vertical connections among the reviewed concepts. It was established that the issue of global warming is considered in each of the analyzed concepts. Moreover, the relationship between the analyzed concepts and the low-carbon economy concept was examined. Conclusions. Based on the results of the research, it can be concluded that the low-carbon economy concept consolidates measures and mechanisms to address the important and urgent problem of climate change. Within the system of environmentally-oriented social concepts, the investigated concept occupies the place of a specialized concept focused on reducing greenhouse gas emissions and combating climate change to achieve green growth and sustainable development. It is closely related to several other concepts through the common goal of finding ways to combat climate change. Consequently, the ideas of a low-carbon economy have become widespread in the concepts of sustainable development, the green economy, the blue economy, the blue (ocean) economy, and the circular economy.

A behaviour change strategy to reduce greenhouse gas emissions from international scientific conferences and meetings

We estimated the environmental impact and financial cost of two exemplar in-person academic events organised by the European academic society, the European Academy of Nursing Science, identified the main sources of these emissions, and then mapped them against the COM-B behaviour change framework of capability, opportunity, motivation to identify strategies that could be applied by organisers and participants to reduce this impact. These events contributed 41 tonnes and 99 tonnes of CO2e emissions per event, a per-participant mean of either 0.324 (SD 0.173) or 0.724, (SD 0.263) tonnes, representing 2 to 5.5 times the daily per-person European average. Distance from home was the largest contributor to emissions. Costs were similar for both events. Our multi-component behavioural change programme includes environmental change, enablement, education, incentivisation and persuasion, by which organisers provide participants with the opportunity for less-polluting behaviour, and enhance participants capabilities and motivation to act on the opportunities provided.

Multifunctional effects of nitrification and urease inhibitors: decreasing soil herbicide residues and reducing nitrous oxide emissions simultaneously

Glyphosate pollution and greenhouse gas emissions are major problem in achieving sustainable soil management. It is necessary to develop effective strategies to simultaneously reduce herbicide residues and nitrous oxide (N2O) emissions in soil. This study aimed to: (1) quantitative analyze the effects of nitrogen (N) cycle inhibitors (nitrification inhibitors 3,4 dimethylpyrazole phosphate (DMPP) and dicyandiamide (DCD) and urease inhibitor N-(n-butyl) thiophosphoric triamide (NBPT)) on glyphosate degradation and reduction of N2O under different soil moistures; (2) identify the functional microbes and genes associated with glyphosate degradation and N2O emissions; and (3) decipher the main mechanisms of N cycle inhibitors affecting glyphosate degradation at different soil water contents. Compared to the control, the application of DMPP, DCD and NBPT reduced glyphosate residues in soil by 33.0%, 60.3% and 35.7%, respectively, under 90% water holding capacity (WHC). The application of DCD stimulated Acidobacteria and the phnX gene to degrade soil glyphosate. Further, soil glyphosate residues were significantly and negatively related to soil N2O emissions at both 60% and 90% WHC. Compared to the control, NBPT application decreased cumulative N2O emissions by 91.4% at 90% WHC by decreasing soil nitrate N (NO3--N) and inhibiting amoC and narG genes at 90%. The application of N cycle inhibitors could be a potential strategy to simultaneously reduce glyphosate residues and soil N2O emissions. Our study could provide technical support to reduce the risks of herbicide exposure and reduce greenhouse gas emissions.

Diet quality is positively associated with nature Relatedness in a U.S. Population: A pilot study

BackgroundSustainable dietary practices can help reduce greenhouse gas emissions and promote planetary health. The importance of investigating how to promote sustainable dietary practices is therefore crucial. Nature Relatedness measures an individual’s connection to nature and can predict environmental concern and stewardship. While emerging research has suggested those with a higher degree of Nature Relatedness report the intention to follow more sustainable dietary practices, the relationship between actual dietary intake and Nature Relatedness has yet to be fully explored. Therefore, the purpose of this pilot study was to assess the relationship between diet quality and Nature Relatedness. MethodsIn this cross-sectional study, participants across the United States completed the online survey from September to November 2023. Diet History Questionnaire II and Nature Relatedness scale were completed by the participants. Diet quality was assessed using the Healthy Eating Index (HEI)-2020 total and component scores. Nature Relatedness total and subscale scores were computed. Pearson and Spearman Rho correlation coefficients assessed associations between HEI-2020 and Nature Relatedness. Simple linear regression models examined the relationships between HEI-2020 total and component scores and Nature Relatedness (controlling for age, gender, race, and education). ResultsThree hundred adults completed the study. HEI-2020 total score was positively associated with Nature Relatedness (p < 0.001). Total fruit, total vegetable, green and beans, and refined grains component scores were positively associated with Nature Relatedness (p < 0.001). Nature Relatedness significantly predicted diet quality and total fruit, total vegetable, greens and beans, and moderation of refined grains consumption. ConclusionsThere are positive and significant relationships between diet quality, components of dietary intake that may promote planetary health, and Nature Relatedness. Our findings may be used to inform future research and nutrition intervention programs promoting personal and planetary health through nature-based interventions.

Navigating the financial sector’s role in energy transition: A comprehensive assessment through the lens of the energy trilemma

Global energy concerns and climate change underscore the need to address energy trilemma (ET), which is the delicate balance of energy security, equity, and environmental sustainability. Navigating this trilemma requires financial and economic development to promote investments in clean energy solutions. In this context, the present study examines the influence of financial development and macroeconomic factors on ET in 18 emerging nations from 2000 to 2021. It also analyzes the implications of the Paris Agreement and the Kyoto Protocol on this relationship. The findings reveal that financial development indicators help reduce greenhouse gas emissions and improve access to clean fuels and technologies. Conversely, it negatively impacts the primary energy supply from renewable sources and the share of electricity from wind energy. Nonetheless, these outcomes persist even after ratifying the Kyoto and Paris Agreement. These unfavorable results are caused by prevailing financial barriers, which are further impeded by technological, environmental, and socioeconomic challenges. Thus, this research highlights the importance of targeted policy reforms in facilitating an effective energy transition and offers actionable recommendations for policymakers aimed at achieving sustainability goals.

Design and evaluation of a standalone electric vehicles charging station for a university campus in Argentina

The increasing popularity of electric vehicles in recent years has led to a growing demand for charging stations. In this context, universities are an ideal setting for their installation, as they have a large number of students, professors, and staff who could benefit from them and, at the same time, it serves as teaching material to raise awareness in the use of renewable energy. This work presents the design and proposal of an electric vehicle charging station for the campus of the Universidad Nacional de Rafaela (UNRaf). The station will be located in an area of the campus where the construction of more buildings and sport facilities is planned. This area will not be connected to the electrical grid and instead, will have an energy storage system to guarantee supply. The station will have the capacity to simultaneously charge 4 bicycles and 2 light electric vehicles, with an average energy demand of 0.786 kWh per hour. Homer Pro software was used for the calculations. The most economically viable option was a 100% renewable solution powered only by solar energy. It is expected to consist of a 15-kW solar system that will produce 22,922 kWh/year and a bank of 30 batteries of 3 kWh plus a single battery of 1 kWh. The installation of the electric vehicle charging station on the UNRaf campus will contribute to promoting the adoption of sustainable transportation, which will help reduce greenhouse gas emissions without using the public power grid.

Challenges, Opportunities, and possible Interventions in the Biogas sector in Rural areas of Limpopo, South Africa

Biogas technology offers a sustainable and eco-friendly solution for addressing energy needs, particularly in rural areas. Despite its potential benefits, the adoption of biogas technology in rural Limpopo, South Africa, remains limited. This paper critically examines the factors hindering its uptake. Using an exploratory approach (Qualitative study), data were gathered through interview guide, field surveys, literature reviews, and expert opinions. The analysis indicates that while biogas is a superior thermal option for household energy crises, several challenges need resolution. Key obstacles include ineffective strategies for promoting biogas in Limpopo. Understanding stakeholder perspectives—such as government bodies, local communities, and private enterprises—is crucial for developing strategies to increase biogas use. Necessary interventions include training, capacity-building, and educational awareness initiatives in rural areas to boost adoption. The financial sector's role in renewable energy is critical, especially as cleaner fuels gain attention. Despite its significant benefits in reducing greenhouse gas emissions and enhancing household energy security, biogas technology's acceptance and use remain low.