Energy Reserves Research Articles

Sustainable Energy Consumption Analysis through Data Driven Insights

Energy is the backbone of our society, supporting our daily activities and driving progress. It plays a crucial role in shaping our modern way of life. The future of global energy consumption is influenced by many factors, including demographics, economic dynamics, technological developments, political actions, environmental demands and geopolitical considerations. As the world's population continues to grow and urbanize, the demand for energy is increasing. At the same time, rapid technological innovations are shaping the energy landscape and changing production, distribution and consumption patterns. In the midst of this development, it is very important to optimize energy consumption, accurately anticipate needs, curb climate change, limit emissions of greenhouse gasses, fight against pollution and promote sustainability. This study includes an in-depth analysis of historical consumption trends, assessing the multiple benefits of renewable energy integration, estimating carbon emissions, formulating practical policy recommendations and providing empirically informed insights. The work is based on various data obtained from platforms such as Kaggle and using advanced visualization techniques such as Power BI dashboards. The study provides invaluable perspectives on future energy needs, the penetration of renewable sources into the energy mix, and the strategic needs to achieve sustainable energy use.

Assessing the Impact of Renewable Energy in Mitigating Climate Change: A Comprehensive Study on Effectiveness and Adaptation Support

The objective of this study is to evaluate the effectiveness of renewable energy in combating climate change and supporting adaptation efforts. By applying the ARDL model to data from 58 countries spanning the period from 1990 to 2022, this study sheds light on the opportunities and challenges associated with this involved relationship. The results indicate that renewable energy plays a significant role in reducing greenhouse gas emissions and mitigating temperature anomalies. Specifically, wind energy, biomass, geothermal energy, solar energy, and waste utilization demonstrate a positive correlation with greenhouse gas emission reduction. Moreover, wind energy, solar energy, waste utilization, and the proportion of renewable energy in primary energy consumption are also linked to a decrease in temperature anomalies. These findings emphasize the importance of implementing concrete measures such as promoting sustainable transportation, ensuring sustainable management of natural resources, raising awareness and enhancing education, increasing subsidies and incentives for renewable energy and strengthening regulations on greenhouse gas emissions.

The refinery of the future.

Fossil fuels-coal, oil and gas-supply most of the world's energy and also form the basis of many products essential for everyday life. Their use is the largest contributor to the carbon dioxide emissions that drive global climate change, prompting joint efforts to find renewable alternatives that might enable a carbon-neutral society by as early as 2050. There are clear paths for renewable electricity to replace fossil-fuel-based energy, but the transport fuels and chemicals produced in oil refineries will still be needed. We can attempt to close the carbon cycle associated with their use by electrifying refinery processes and by changing the raw materials that go into a refinery from fossils fuels to carbon dioxidefor making hydrocarbon fuels and to agricultural and municipal waste for making chemicals and polymers. We argue that, with sufficient long-term commitment and support, the science and technology for such a completely fossil-free refinery, delivering the products required after 2050 (less fuels, more chemicals), could be developed. This future refinery will require substantially larger areas and greater mineral resources than is the case at present and critically depends on the capacity to generate large amounts of renewable energy for hydrogen production and carbon dioxide capture.

The impact of the proportion of renewable energy consumption on geopolitical risks in the United States and the United Kingdom

Renewable energy serves as an effective alternative to traditional fossil fuels, reducing reliance on energy imports from specific countries, thereby alleviating geopolitical risks and ensuring national energy security. The development and utilization of renewable energy have profound implications for the global energy consumption structure and geopolitical landscape. This paper utilizes time-series and panel data from 1990 to 2020 to examine the causal relationship between renewable energy consumption and geopolitical risks. Focusing primarily on the United States and the United Kingdom, a multivariate regression model was developed for empirical analysis, with a comparative analysis conducted against other Group of Seven (G7) member countries. Subsequent robustness checks were performed to further validate the model's robustness. Additionally, this study explores the role of military strength as a moderating variable in the relationship between renewable energy and geopolitics. Lastly, a vector autoregression model was constructed to analyze the dynamic relationships between renewable energy and related variables. The findings reveal that (1) consumption of clean renewable energies, such as solar, wind, and tidal energy, significantly reduces geopolitical risks in the United States and the United Kingdom, with differing empirical results for France, Canada, and Japan, interpreted according to their developmental contexts and (2) increased defense expenditure in the US and the UK significantly enhances the positive impact of renewable energy consumption on mitigating geopolitical risks. Utilizing renewable energy not only diversifies national energy options but also reduces reliance on fossil fuels and fosters international cooperation, thereby easing geopolitical tensions. This research enriches the literature on the relationship between renewable energy consumption and national energy security in key global nations and offers theoretical insights for the formulation and implementation of national energy development strategies in the new world development paradigm.

ENERGY CONSUMPTION AS AN INDICATOR OF ECONOMIC GROWTH

Energy - is manifested in the provision of various needs of people. We can add daily individual needs such as food, heating, communications, transportation, education, and social conditions. Social needs cover such broad areas as safety, clean water delivery, outdoor lighting, waste management, education, and health care. In other words, energy is a requirement at every stage, from the production of all the needs we have mentioned to their distribution. Since energy is a limited and depleted factor of production, it is indispensable for social development. Today, its careful and efficient use is essential and the subject of various studies. In particular, much attention is paid to environmentally friendly renewable energy sources. On the other hand, the growing energy demand, which is one of the essential factors affecting countries' economic growth, remains relevant. Economic growth - reflects an increase in the level of national income and per capita income. Since ensuring economic growth is one of the main goals of countries, each country wants to ensure its own energy independence or sustainable energy reserves. In providing economic growth, not only the amount of energy used is of great importance, but also the efficient use of energy to increase production. It should be carefully emphasized that an increase in energy consumption not only leads to economic growth but, as a result of economic growth, more energy is consumed. In other words, in each case, more energy consumption is needed to achieve the economic growth that countries aim for, and the energy infrastructures and resources required for economic growth must be ready. It is necessary to expand research on alternative energy sources and close the gaps in countries' energy needs through their consumption.

Evaluation of the effects of dietary cinnamaldehyde on growth and nutrient use in Nile Tilapia (Oreochromis niloticus)

Cinnamaldehyde is an active organic compound and an aromatic aldehyde substance found in cinnamon oil. It is a new feed supplement for animals that can improve growth, nutrient digestion and absorption, lipid use, and immunity. The present study evaluated the effects of dietary trans-cinnamaldehyde 98 % (CIN) on nutrient utilization, antioxidant capacity, and growth performance in Nile tilapia (Oreochromis niloticus). Juveniles used was weighing at about 19.77 ± 0.10 g received dietary CIN at different doses (0, 0.25, 0.5, 0.75, and 1.0 g/kg feed). The fish were maintained in a glass aquarium of 95 × 45 × 35 cm3 in size at a stocking density of 20 fish per aquarium and fed three times a day to clear satiation. Dietary carbohydrate digestion and absorption were significantly improved in fish fed 0.75 g/kg CIN, as indicated by increased amylase activity and glucose tolerance test. The latter was subsequently confirmed by increases in relative ir, glut4, hx and gs expression that indicated the increase in glucose absorption led to an increase in glucose utilization as an energy source and the synthesis of glycogen as an energy reserve. Interestingly, dietary CIN supplementation also resulted in the downregulation of fas, which facilitates the conversion of glucose to fatty acids, and the upregulation of cpt1a and hsl, indicating increased fatty acid oxidation for energy. CIN at a range of 0.5–0.75 g/kg improved the antioxidant status in the liver, as illustrated by elevated glutathione peroxidase and superoxide dismutase activities (both P < 0.05). Final weight, feed consumption, the specific growth rate, feed efficiency, and protein retention increased were significantly in all CIN groups, with the highest values reached in the 0.5 g/kg CIN (all P < 0.05). Based on a polynomial orthogonal analysis of the fish-specific growth rate, the optimum dosage of CIN inclusion is 0.42 g/kg.

Effect of temporal thermal stress on Penaeus vannamei: Growth performance and physiological plasticity.

The present study evaluated the effect of temporal periods of hypothermia and hyperthermia, followed by an optimal temperature recovery phase on the growth, survival, and physiological response of Penaeus vannamei. Post-larvae were exposed to stress periods for 7 and 14 days at 22 °C and 32 °C each, followed by a recovery phase at 28 °C to complete seven experimental weeks, and were compared with a control group maintained at 28 °C. Weight gain, specific growth rate, feed intake, feed conversion ratio, and survival were weekly determined. Muscle, hepatopancreas, and hemolymph were sampled on the 14th day of the recovery phase for biochemical composition, and antioxidant and digestive enzyme activities determination. The shrimp presented a higher growth rate during short-term hyperthermia in contrast to shrimp under hypothermia that presented compensatory growth after thermal stress when the temperature was restored at 28 °C. Hyperthermia increased 12–13% the feed intake while this was diminished 21–29% by the hypothermia periods. Shrimp undergo metabolic adjustments following thermal stress, with short hypothermia increasing the lipase activity and lipid storage in the hepatopancreas, while short hyperthermia also enhances chymotrypsin activity and leads to higher protein and lipid accumulation. Conversely, prolonged hyperthermia induces greater energy consumption, depleting lipid and glycogen stores, while hypothermia causes scarce mobilization of energy reserves during recovery phase. Antioxidant enzyme activities were not affected by short-thermal stress (7d), while prolonged thermal stress (14d) significantly affected SOD, CAT, and GPx activities. The present study provides important insights into the physiological plasticity of P. vannamei during recovery from thermal stress.

Sustainable energy storage solutions for coal-fired power plants: A comparative study on the integration of liquid air energy storage and hydrogen energy storage systems

With the majority of the world's energy demand still reliant on fossil fuels, particularly coal, mitigating the substantial carbon dioxide (CO2) emissions from coal-fired power plants is imperative for achieving a net-zero carbon future. Energy storage technologies offer a viable solution to provide better flexibility against load fluctuations and reduce the carbon footprint of coal-fired power plants by minimizing exergy losses, thereby achieving better energy efficiency. This work focuses on developing two such energy storage technologies: Liquid Air Energy Storage (LAES) and Hydrogen Energy Storage (HES), and their integration strategies with a sub-critical coal-fired power plant. The performance of the integrated systems is analyzed based on key parameters like energy storage capacity, net unit power output during charging and discharging, round-trip efficiencies, and net unit efficiencies at different operating load conditions of the plant. Our results show that during the charging cycles, by increasing the air flow rate in LAES and the hydrogen production rate in HES, the net unit efficiency of the integrated plant decreases by 3–10% at different load conditions, while the energy-based round-trip efficiency increases with increasing liquid air and hydrogen flow rates during the discharge cycles. For the HES system, utilization of the produced hydrogen in the fuel cells gives 40–50% better roundtrip efficiencies than co-firing hydrogen in the boiler at full and minimum load and it increases with increasing hydrogen flow rates. While HES has shown a better overall net unit efficiency (41.5%, in fuel cell scenario) of the integrated unit than the LAES system (40%) for the base case operation, LAES shows superior round-trip efficiencies when operated at higher liquid air discharge flow rates (>80 kg/s). The results provide insights into the system modeling of LAES and HES integrated with a sub-critical coal power plant, contributing to the advancement of sustainable energy storage solutions.

Do Energy Consumption and CO2 Emissions Significantly Influence Green Tax Levels in European Countries?

In this article, we analyze the correlation between GDP/capita variation, primary and renewable energy consumption and greenhouse gas emissions on the one hand, and green taxes on the other. Green taxes are the main instruments used to limit activities that have a negative impact on the environment. These consist of taxes paid by producers and/or consumers for any activity that generates pollution. The results of dynamic regressions, validated by the applied robustness tests, indicate a significant and positive correlation between primary energy consumption and total environmental taxes, respectively energy taxes. At the same time, this shows that variation in GDP/capita significantly and positively influences transport taxes and pollution taxes. In contrast, net greenhouse gas emissions and the supply, transformation and consumption of renewable sources and waste do not significantly influence the total green taxes and their components. This finding is useful to both academic research and government policies for the realistic substantiation of the levels of green tax revenues and for establishing appropriate measures meant to reduce CO2 emissions.

Exploring the Impact of Rice Husk Ash Masonry Blocks on Building Energy Performance

Operational building energy consumption accounts for 55% of global energy consumption. Most of this is attributed to residential buildings, as they make up the largest building type when compared to the total building stock worldwide. As the building envelope is a major contributor to building energy performance, especially the external walls, its optimisation is therefore imperative to reduce energy consumption and carbon emissions. This study set out to assess the effects of waste material additions to external walls and their effect on building energy performance. This research aimed to critically investigate the effect of rice husk ash (RHA) masonry blocks on building energy performance when compared to conventional masonry blocks in tropical climates. A mix of methods, including experimental investigation and simulation studies, were employed for this study. Three variations of RHA block samples were created for this investigation: RHA 5%, RHA 10%, and RHA 15%. Using prototype buildings from the study context, the building simulation results helped quantify the impact on building energy performance from the reuse of rice waste. The largest improvement to the building fabric was recorded with the RHA15% blocks, which resulted in a 9.9% and 11.3% reduction in solar heat gains through the external walls for the selected bungalow and duplex/storey building, respectively. This resulted in a 6.55% and 4.2% reduction in cooling loads and a 4.1% and 2.8% reduction in carbon emissions, respectively, for the bungalow and duplex/storey building. The findings of this research will prove valuable to householders, researchers, architects, and policymakers in their decision-making processes. The findings will also be useful in introducing new methods that can be adopted for similar studies, bridging the knowledge gap while promoting a circular economy through the reuse of landfilled waste.

What implications do primary energy use, urban population agglomeration, and economic development rendered to Romania's environmental sustainability?

The energy sector plays a significant role in Romania's expanding economic and security agenda. The energy sector utilizes a diverse range of resources, such as renewable energy, nuclear power, coal, and natural gas. Traditionally, the primary sources of the country's energy have been coal and natural gas, while hydroelectricity and nuclear power have played supplementary roles. The present study's major purpose is to establish how primary energy consumption, fossil fuel consumption, urban population agglomeration, and economic growth affect CO2 emissions in Romania. The time series data covering 1990 to 2021 was analyzed using the symmetric Autoregressive Distributed Lag (ARDL) approach in conjunction with robust least squares technique. The study's findings demonstrated that in both the short and long run, variables such as fossil fuel consumption, urban population agglomeration, and economic growth had a positive influence on CO2 emissions. Primary energy consumption has a detrimental influence on environmental quality in Romania. Similarly, the results of the robust least squares technique show that distinct variables have specific effects on environmental quality. It particularly shows that fossil fuel consumption, urban population agglomeration, and economic growth have a positive effect on CO2 emissions. However, empirical evidence indicates that primary energy consumption has a negative impact on CO2 emissions. It is essential for the Romanian government to take more steps to successfully address the problem of environmental degradation inside the country, with the ultimate goal of increasing economic growth.

Ökologischer Umbau von Wirtschaft und Gesellschaft: Kosten und Nutzen

Abstract This article weighs up the costs and benefits of the expansion of renewable energy technologies for electricity generation in Germany. According to calculations of the German Ministry of Economic Affairs, this expansion has cost electricity consumers almost 300 billion euros since the introduction of the Renewable Energy Sources Act (EEG) in 2000. Moreover, payment obligations of a similar magnitude are already in place for the next two decades. However, with the accelerated expansion of renewables following Russia’s attack on Ukraine, politicians are accepting costs well in excess of this approximately 600 billion. Given the costs already incurred, a cost-benefit analysis is imperative, not least because further costs in the three-digit billion range are not included in the 600 billion figure, such as the costs for grid expansion, which would not be necessary to the same extent without the expansion of renewables. Against this backdrop, strict attention should be paid to cost discipline in the further expansion of renewables by ensuring that the Federal Network Agency only issues technology-neutral rather than technology-specific tenders for the expansion of renewables in future. This means that only the most cost-efficient renewable technologies will be installed. Consequently, there will be budgetary scope for future investments that could boost the growth potential of the German economy more than the expansion of renewable energies. Contrasting with the high costs, the benefits of expanding renewable energies are modest. For example, the share of renewables in primary energy consumption in 2022 was only around 17 %. With such a low share, achieving greenhouse gas neutrality in 2045 with renewables alone appears to be a tremendous challenge.

Applications of Fractional Time Delayed Grey Model in Primary Energy Consumption Prediction

The prediction of total energy consumption is crucial across various domains including the economy, environment, market, and geopolitics. Accurate forecasts can guide policy-making, investment decisions, and international strategies, contributing to sustainable development and energy security. Fractional models have been proven to better capture the long-term memory effects and complex dynamic characteristics of systems, with time delay playing a crucial role in capturing dynamic behaviors. Such models enhance the accuracy and reliability of predicting future trends and behaviors. For the prediction of primary energy consumption in South and Central America, the Middle East, and Africa, this study opts for the existing fractional time delayed grey model, optimizing the fractional order using the particle swarm optimization algorithm. Experimental results demonstrate that in most cases, the predictive capability of the fractional time delayed grey model surpasses that of other grey models. This indicates the effectiveness and reliability of the model in forecasting energy consumption, providing valuable references and foundations for decision-making in relevant fields.

Fluorescent rotor: Labeling lysosomes, mitochondria and lipid droplets through polarity and viscosity assessment

The viscosity and polarity of cells are inherent physical parameters, and changes to these attributes are frequently linked to malfunctioning conditions or different diseases. Cancer cells often harbor elevated nonpolar lipid droplets (LDs), acting as energy reserves. The rise in lipid droplets (LDs) and viscosity, distinctive traits of cancer cells, has motivated us to develop a fluorescent probe based on naphthalimide. The fluorescent marker LD-VP exhibits fluorescence signals at 520 nm in nonpolar dioxane and 600 nm in highly viscous glycerol. This implies that probe LD-VP can furnish details regarding cellular microviscosity and lipid droplets within live cells by providing dual-channel images. The probe LD-VP is chemically inert and harmless, enabling its safe utilization in live cell imaging. We conducted fluorescence imaging based on viscosity using probe LD-VP in the red channel, which is found to be co-localized in both mitochondria and lysosomes. Moreover, the probe effectively marks lipid droplets in the green channel. The probe LD-VP represents a distinctive fluorescent tool capable of monitoring both viscosity and lipid droplet expression in live cells. This tool holds the potential for visualizing physiological abnormalities or pathological conditions.

Valorization of the Residual Fraction of Coal Tailings: A Mineral Circularity Strategy for the Clay Ceramic Industry in the Carboniferous Region of Santa Catarina, Southern Brazil.

Mineral extraction of coal in the carboniferous region of southern Santa Catarina (Brazil) plays a significant role in the regional economy. However, this activity has severe environmental impacts, with approximately 65% of the extracted mineral being discarded as a rejected material (deposited in landfills). The identification of the technological potential of these materials, based on the geological aspects of the extraction site and the beneficiation operations applied to obtain coal, provides the opportunity to add value to different residual fractions that can be reused. Thus, waste valorization, the main objective of this work, has recently become a strategy for the application of these minerals in the production of clay ceramics using a systematic approach named CPQvA, which means "classification, potentiality, quantity/viability, and applicability". The use of these materials as secondary mineral sources can avoid the deposition of these materials in industrial landfills and help to reduce the pressure on landfills, which receive an average of four million tons of material annually. In this study, the residual fraction, part of the tailing from coal beneficiation, known as coal fines, was evaluated for formulation valorization in clay ceramics. This residual fraction was classified as non-hazardous (class II-A, non-inert). X-ray fluorescence spectrometry, X-ray diffraction, and thermogravimetric analysis were performed to characterize the moisture content, particle-size distribution, and coal content to be used in the development of different formulations using the residual fraction of coal tailings (ranging from 0 to 40%) that are of technological interest to the sector. Processing parameters, such as firing at different temperatures (750, 800, 850, and 900 °C), were also correlated with these formulations. The results were compared with those of a reference ceramic formulation from the local productive arrangement of Morro da Fumaça (Arranjo Produtivo Local Cerâmica Vermelha de Morro da Fumaça). The various relationships between the materials were characterized in terms of their thermal shrinkage, water absorption, and mechanical resistance. Leaching and solubilization environmental tests revealed that both the industrial standard formulation and formulations with the application of the residual fraction were classified as non-hazardous materials. Thus, the method of using a mining residual fraction in the formulation of clay ceramics proved to be beneficial for the circular economy in the regional mineral sector through productive and environmental gains; the primary mineral resource and energy consumptions and the impacts related to waste generation were reduced. The results of this study can be applied to similar situations in other parts of the world.

A hybrid clustering approach integrating first-principles knowledge with data for fault detection in HVAC systems

The building sector, primarily through heating, ventilation, and air conditioning (HVAC) systems, accounts for 30% of global final energy consumption and 26% of energy-related emissions, highlighting the urgency for efficient energy management and effective fault detection. Optimizing HVAC system performance is crucial for energy conservation and sustainability. This study introduces a hybrid modeling methodology to enhance HVAC systems’ fault detection and isolation (FDI). Using feature extraction through principal component analysis (PCA) and autoencoder (AE), the proposed approach integrates first-principles knowledge with data to improve the performance of different clustering algorithms (K-means, density-based spatial clustering of applications with noise (DBSCAN), and ordering points to identify the clustering structure (OPTICS) to distinguish datasets of different operating conditions (normal and faulty conditions). The proposed approach is applied to detect common faults in HVAC systems, demonstrating superior performance compared to purely data-driven methods.

A Multi-criteria Decision-making Approach for Pressurized Water Reactor Based on Hesitant Fuzzy-improved Cumulative Prospect Theory and 2-additive Fuzzy Measure

As one of the world's largest energy consumers, China has paid much attention to the development of non-fossil energy sources. The nuclear power is regarded as the top priority for development due to its remarkable ecological and economic advantages. Given the large investment, long lifecycle, and rigorous quality control, the conceptual design plays a critical role in the pressurized water reactor development. Multitudinous design alternatives are presented at this stage and it is essential to develop an advanced evaluation approach. Hence, this work proposes a multi-criteria decision-making approach for pressurized water reactor based on hesitant fuzzy-improved cumulative prospect theory and 2-additive fuzzy measure. Firstly, considering the inherent uncertainty and cognitive biases of nuclear power experts, cumulative prospect values are calculated for design alternatives by adopting dual prospect reference points and two-tuple entropy measure under a hesitant fuzzy environment. Secondly, a linear programming model based on bidirectional projection measures is constructed to eliminate the discordance between the independent criteria assumption and interdependent evaluation information. This model helps to identify optimal 2-additive fuzzy measures, which serve as the basis for determining the Shapley importance and interaction indices of evaluation criteria. Then, taking Shapley interaction indices modification into account, a quadratic programming model based on the global criterion method is built. Finally, 2-additive Choquet integral-based TOPSIS method is proposed to select the optimal design alternative. A case study on the essential service water system is implemented to demonstrate the reliability and superiority of the proposed approach.

Performance evaluation of PID and Fuzzy Logic controllers for residential ORC-based cogeneration systems

Cogeneration systems have been identified as a way to reduce primary energy consumption, especially the ones using fossil fuels. Although this technology has already reached maturity on a medium-to-large scale, it is not very well explored on a micro-scale, especially at a residential level where the market is currently filled with carbon-fueled boilers and combi-boilers. For implementation at a residential level, the organic Rankine cycle has been mentioned as a suitable technology because of its simplicity and thermal/ electrical efficiencies. Despite its performance, one of the most important aspects of these applications is the response time, which is mainly connected to the system’s control. Due to its influence, this study aims to provide insights for developing flexible control strategies and analyze two different control methodologies, a standard PID and a Fuzzy Logic controller, considering the operating conditions of an experimental ORC-based micro-cogeneration test rig.Before being implemented in the test rig, both control methodologies were optimized and tested in a virtual environment in order to avoid the exposure of the test rig to unsafe operating conditions. While both controllers show a reasonable response in operating conditions similar to the ones used in the virtual environment, the Fuzzy Logic approach proved to be more adaptable to changes in the system’s dynamics, which are caused by intrinsic (e.g., unpredicted evaporative phenomena) or external disturbances (e.g., a pressure ratio variation), obtaining an overall better performance. Additionally, the limitations of static PID controllers for complex nonlinear processes, like the ORC, were highlighted by their incapacity to stabilize the system when the organic fluid is diverted from the bypass line to the expansion valve. Conversely, it was concluded that the ability to incorporate expert knowledge and heuristics makes the Fuzzy Logic controller well-suited for ORC systems with uncertain, unstable, and fluctuating behavior.

Ammonia nitrogen removal from coal gasification wastewater using a falling-film dielectric barrier discharge reactor: Process optimization and toxicity analysis

The continuous use of coal gasification technology for green energy generation to supplement the dwindling energy reserves generates significant amounts of wastewater containing ammonia nitrogen, posing a significant risk to the finite drinking water sources and aquatic lives. Herein, two falling-film dielectric barrier discharge (DBD) reactors with copper and titanium high-voltage electrodes, respectively, were designed to remove ammonia nitrogen (NH3−N) and chemical oxygen demand (COD) simultaneously from coal gasification wastewater. The operational parameters were screened using the Plackett-Burman design, and the significant parameters were further optimized via the response surface methodology. The results showed that the power parameter significantly influenced NH3-N removal, and COD removal was influenced considerably by power and treatment time. Under the optimum conditions (treatment time = 20.32 min, pH = 3, airflow rate = 1 L/min, power = 116 W, and recirculating flow rate = 50.02 mL/min), a removal ratio of 62.33 % and 37.35 % was achieved for NH3-N and COD for the reactor with the copper electrode, and 67.66 % and 44.90 % for NH3-N, and COD for the reactor with the titanium electrode. Additionally, the concentrations of O3, ·OH, and H2O2 produced by the reactors were quantified, and their crucial roles in the removal process of NH3-N were evaluated. Although smaller concentrations of NO2− and NO3− were detected in the treated wastewater, over 97 % of N2 selectivity encompassed NH3-N removal. Finally, acute phytotoxicity tests were performed, and the results indicated that at 100 mL/L dosage, the treated wastewater from both reactors did not restrict Barbarea verna growth.

Exploring banana production in Africa for food security and economic growth—A short review

Food insecurity is a critical global issue, but it is far more visible and challenging to address in Africa. Millions of Africans suffer from hunger and malnutrition. Food security programs are an essential part of human survival, and for that to happen, food that is nutritious and safe must be readily available to people. A society that will be well fed requires not only a strong policy framework but also institutional reforms that promote production and make agriculture more attractive to young people. In this context, sustainable production of banana crops could play a critical role in Africa’s food security and advance economic growth. Bananas have an important position in human nutrition all over the world; they are a staple fruit consumed by many. A banana is a storehouse for minerals, vitamins, and carbohydrates and is regarded as a reserve of energy. It has a great prospect for foreign earnings through exports. The continuous growth in Africa’s population, with its attendant increase in food demands, calls for a radical transformation in its agricultural production system. There are land and human capital resources that could be engaged. The estimated cultivable land mass in Africa for banana production is estimated to be around 50 million hectares, with over 60% of its population below the age of 25. Africa could achieve a decent society that is free from the burden of hunger and attain economic prosperity by leveraging on massive banana production for local needs and exports. Bananas have enormous potential as a recipe for food security and economic prosperity if well harnessed.