Energy Requirements Research Articles

Internet of things based smart photovoltaic panel monitoring system

<p>Solar energy has the potential to meet the entire world's energy requirements. Previous study revealed that photovoltaic (PV) panel monitoring methods are far more difficult and exclusive. This study examines and proposes an automated internet of things (IoT)-based PV panel monitoring system that allows autonomous monitoring of solar panel properties such as voltage, temperature, humidity, and sun irradiation from anywhere over the internet. Excessive human demand can be reduced by collecting data from solar panels. Many data sets can be collected frequently; for example, thousands of data points can be collected each minute. Continuous monitoring is achievable by gathering real-time data. Because there is no possibility of human error, highly accurate data can be generated.</p>

Sizing requirements of the photovoltaic charging station for small electrical vehicles

Electric vehicles (EVs) are being introduced in Rwanda and becoming attractive for different reasons. For instance, these types of vehicles can help decrease air pollution and noise emissions. In addition, it presents an alternative to combustion engines, given the increased price of fuel resources in Rwanda and around the world. This paper presents a tool tailored to optimize the design of an electrical charging station serving small-sized electric vehicles, utilizing the algorithm to assist in sizing stand-alone mopped charging stations. The developed tool is based on the toolbox EventSim from MathWorks, which permits the combination of the simulation of discrete events (such as the arrival of customers at the station) with continuous states (such as the simulation of the charging process). The required PV power was estimated by utilizing solar resources, for the location, from renewables. Ninja. The number of customers arriving at the existing oil station is normalized to estimate the energy requirements of the mopped fleet. A Poisson distribution was proposed to model the battery discharge upon arrival, and different related parameters were evaluated through a sensitivity analysis to identify their effects on the performance of photovoltaic charging station. For the testing values, the station parameters were changed by ±25% to determine the impact of key design parameters on station performance, as well as other satisfaction measures such as average waiting time and average queue length. With a 25% increase in photovoltaic panels, the blackout period decreases by 2.12%, while a 25% decrease in photovoltaic panels causes an increase of 2.18% in the blackout period. Utilizing the energy management system (EMS), the waiting time was reduced by 8%.

Improving Net Energy Efficiency of Dimethyl Ether Production Process by Methanol Dehydration

Dimethyl ether (DME) is a source of fuel that produces clean energy for the future. Methanol can be used as a raw material for the manufacture of DME as a natural gas that is treated for synthesis. This paper evaluates how to improve net energy efficiency in DME production and how to review the net energy efficiency calculations in DME production. Methods used for production of DME are methanol dehydration, thermodynamics examination, also improving the net energy efficiency of DME with the addition of the heat exchanger (E-100), the addition of a heater (E-104) before entering a column (T-102), and moved the mixer position before the heater (E-100). By modifying the addition of a heat exchanger (E-100), heater (E-104), and changing the position of the mixer in DME production, it has been proven that it can reduce energy requirements in the dimethyl ether synthesis process from methanol and increase net energy efficiency by up to 98.83%. The results of the case study indicate that the addition heat exchanger (E-100) able to reduce the heater load after the creation process and remove the cooler (E-101) that existed before creation, then the addition of the heater (E-104) serves to reduce the load of Qcond2 and Qreb2 on columns (T-102), also the position of the mixer for the methanol recycling flow is moved before the heater (E-100) is intended to remove the heaters (E-103). Copyright © 2024 by Authors, Published by Universitas Diponegoro and BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).

Unveiling the potential of TPA-based molecules to tune the optoelectronic properties and enhance the efficiency of dye-sensitized solar cells.

The world's energy and environmental requirements are changing due to rapid population growth and industrial growth, and solar cells can be used to meet these demands. Dye-sensitized solar cells (DSSCs) are solar cells in which energy conversion occurs via a process similar to photosynthesis in plants. DSSC development is still in its infancy. DSSCs can operate under cloudy conditions and indirect sunlight and have attracted considerable attention due to their low cost and high efficiency. We designed two metal-free TPA-based dyes (Dye2 and Dye3) based on the reference dye Mg207 (Dye1) by increasing the donor strength of the molecule, as such dyes have shown enhanced efficiency in DSSCs. Moreover, the triphenylamine (TPA) moiety has been demonstrated to be a good donor that prevents charge recombination. Intramolecular charge transfer (ICT) from the donor to acceptor moiety was found in the sensitizers, and electrons were promoted to the conduction band (CB) of the TiO2 semiconductor. The negative binding energy of the dye@TiO2 clusters indicated that dye adsorption on the semiconductor surface was stable. The double donor increased the electron injection and electronic coupling constants in Dye2 and Dye3, indicating that these newly designed dyes have superior charge injection capacity. Accordingly, the efficiencies of DSSCs with Dye2 and Dye3 were 9.77% and 9.62%, respectively, and substitution with the TPA unit at the -R1 and -R2 positions in Dye1 resulted in better power conversion compared to the parent compound (9.09%). Increased donor strength improved photovoltaic performance by increasing current density and light-harvesting efficiency. This is a good molecular design approach for preparing targeted donor- -acceptor (D- -A) organic dyes with high DSSC efficiency. To predict the charge transport and optoelectronic characteristics of the TPA dyes, quantum chemical calculations were carried out using Gaussian16. The ground-state (S0) optimized geometries of the sensitizers were computed by utilizing DFT at the B3LYP/6-31G** level. The absorption spectra ( max) were computed by employing TD-DFT with various functionals (B3LYP, PBE1PBE, CAM-B3LYP, and BHandHLYP) in the gas and solvent (DCM) phases. Among the studied functionals, BHandHLYP was found to be best at successfully reproducing the experimental data. Thus, the absorption spectra of the newly designed dyes and dye@TiO2 were calculated at the BHandHLYP/6-31G** level. The dye@TiO2 cluster optimizations were carried out at the B3LYP/6-31G**(LANL2DZ) level.

Effect of Extruder Configuration and Extrusion Cooking Processing Parameters on Selected Characteristics of Non-Starch Polysaccharide-Rich Wheat Flour as Hybrid Treatment with Xylanase Addition

The effects of a single-screw extruder configuration and processing variables such as conventional extrusion or hybrid treatments with xylanase were tested on the extrusion performance and selected characteristics of the developed non-starch polysaccharide-rich (NSP-rich) wheat flour. L/D 16 and 20 extruder configurations with various screw profiles were used. The interactions between processing variables (moisture content 23, 25, 27%; screw speed 40, 60, 80 rpm; xylanase level 0, 50, 100 ppm) were assessed to indicate energy consumption and the rheological properties of flour. The results showed that the possibility of obtaining enzyme-assisted extruded flour products derived from flours of varying characteristics depended on the processing conditions. The application of various extruder configurations and screw profiles showed significant effects on both processing behavior and rheological characteristics. The longer L/D 20 extruder configuration using a screw profile with mixing elements allowed us to obtain products with lower extrusion pressure (max. 20.8 bar) and energy requirements (max. SME = 33.1 kWh/kg) and better rheological properties (max. Hyd = 69.2%, less intensive starch gelatinization with max. C3 = 1.47 Nm) than the L/D 16 version. The extruded wheat flour was characterized by improved hydration properties and limited retrogradation tendency, especially when hybrid extrusion with xylanase was applied. This may lead to favorable results, as the newly developed enzymatic extrusion modification method produces NSP-rich wheat flour with specific techno-functional and rheological characteristics that can be seen as a potential “clean label” enhancer in bakery products. Our statistical analysis confirmed feed moisture and screw speed to be the variables with the most significant effect on wheat flour features.

Physicochemical Characteristics of Silicomanganese Slag as a Recycling Construction Material: An Overview

AbstractSilicomanganese (SiMn) slag is a by-product of ferromanganese and SiMn alloy production poses significant challenges in terms of environmentally sound disposal given its substantial volume. This brief review aims to assess the physicochemical attributes of SiMn slag and explore its potential applications in construction materials recycling. To accomplish this, we systematically evaluated 20 relevant articles, categorizing them into segments covering reutilization methods, key considerations, enhancement strategies, and the recent challenges and prospects associated with SiMn slag reutilization. Our analysis encompassed SiMn slags from five countries, revealing consistent chemical compositions characterized by SiO2, Al2O3, CaO, MnO, MgO, FeO + Fe2O3, and K2O + Na2O at similar proportions. We identified two distinct types of SiMn slag, i.e., air-cooled and water-quenched, each possessing unique physical properties influencing their suitability for reutilization. SiMn slag has been successfully repurposed into various construction materials, including cement paste, mortar, concrete, alkali-activated matrices, bricks, backfill materials, Mn extracts, and binder/cement. Several critical factors must be considered when reutilizing SiMn slag in construction materials, including cooling methods, moisture content, particle size (fineness), equipment, energy requirements, and cost considerations. To enhance the reutilization process, we propose a structured approach consisting of four key steps, i.e., incoming waste assessment, pre-treatment, physical/chemical treatment, and product development. Furthermore, this review suggests several avenues for future research, including the development of industrial-scale recycling applications, exploring environmentally friendly landfilling methods for SiMn slag, and assessing the practicality and feasibility of SiMn-slag-based products in real-world construction projects.

Research progress on nutritional support in the neonatal and pediatric populations receiving extracorporeal membrane oxygenation.

Nutritional support is crucial for the prognosis of children supported by extracorporeal membrane oxygenation (ECMO). This article discusses the latest research progress and guideline recommendations for nutritional support during ECMO. We summarize the nutritional status and evaluation of ECMO patients, nutritional support methods and timing, trace elements, the impact of continuous renal replacement therapy (CRRT), and energy requirements and algorithms. The article shows that malnutrition is high in ECMO patients compared to other critically ill patients, with nearly one-third of patients experiencing a decrease in nutritional indicators. The timing of the initiation of nutrition is very important for the nutritional status of the child. Early enteral nutrition can improve patient prognosis, which is the most commonly used, with parenteral nutrition as a supplement. However, the proportion of enteral nutrition is relatively low, and a stepwise nutrition algorithm can determine when to initiate early enteral nutrition and parenteral nutrition. Malnourishment during critical illness have been associated with increased morbidity as well as increased mortality. Nutritional status should be evaluated at admission by screening tools. In addition, changes in the levels of several metabolites in vivo, such as blood lipids, carnitine, and thiamine, can also reflect the degree of nutritional deficiency in critically ill children. This article provides a reference for the implementation of nutrition of pediatric ECMO patients and further research on nutritional support.

Evaluation of a grid-connected PV power plant: performance and agrivoltaic aspects

AbstractThe performance ratio, a globally recognized metric that correlates with reported global solar radiation values, serves as a crucial indicator for evaluating the efficiency of grid-connected PV plants. Also, a large scale PV power plant alone can afford some agricultural irrigation energy requirement of a region. In this study, the actual generation data from a power plant located in Bursa province in northwestern Türkiye, during its initial six years of operation have been analyzed. The analysis reveals that the annual electricity production of the power station reaches approximately 10 GWh. Notably, the time period between April and September witnesses a monthly electricity generation exceeding 1 GWh, with September emerging as the most productive month, characterized by an average performance ratio of 94.5% during this six-year period. However, over the span of six years, the highest average electricity generation occurs in July, peaking at 1.34 GWh. Also, the power plant alone can meet the agricultural irrigation energy requirement of the region in the range of 6.7–2.3%. From an environmental impact and global warming perspective, it is noteworthy that during the 36-month period in the summer season, the performance ratio exceeded 100% only three times. However, within the 32-month period in the winter season, the performance ratio exceeded 100% 19 times. This situation indicates that while the reported radiation rates by the managements are consistent with the actual values for the summer months, they need to be revised, especially for the winter months.

Examining functional group-dependent effects on the ionization of lignin monomers using supercritical fluid chromatography/electrospray ionization mass spectrometry.

The chemical and biological conversion of biomass-derived lignin is a promising pathway for producing valuable low molecular weight aromatic chemicals, such as vanillin or guaiacol, known as lignin monomers (LMs). Various methods employing chromatography and electrospray ionization-mass spectrometry (ESI-MS) have been developed for LM analysis, but the impact of LM chemical properties on analytical performance remains unclear. This study systematically optimized ESI efficiency for 24 selected LMs, categorized by functionality. Fractional factorial designs were employed for each LM to assess ESI parameter effects on ionization efficiency using ultra-high-performance supercritical fluid chromatography/ESI-MS (UHPSFC/ESI-MS). Molecular descriptors were also investigated to explain variations in ESI parameter responses and chromatographic retention among the LMs. Structural differences among LMs led to complex optimal ESI settings. Notably, LMs with two methoxy groups benefited from higher gas and sheath gas temperatures, likely due to their lower log P and higher desolvation energy requirements. Similarly, vinyl acids and ketones showed advantages at elevated gas temperatures. The retention in UHPSFC using a diol stationary phase was correlated with the number of hydrogen bond donors. In summary, this study elucidates structural features influencing chromatographic retention and ESI efficiency in LMs. The findings can aid in developing analytical methods for specific technical lignins. However, the absence of an adequate number of LM standards limits the prediction of LM structures solely based on ESI performance data.

Personalized metabolic whole-body models for newborns and infants predict growth and biomarkers of inherited metabolic diseases.

Comprehensive whole-body models (WBMs) accounting for organ-specific dynamics have been developed to simulate adult metabolism, but such models do not exist for infants. Here, we present a resource of 360 organ-resolved, sex-specific models of newborn and infant metabolism (infant-WBMs) spanning the first 180days of life. These infant-WBMs were parameterized to represent the distinct metabolic characteristics of newborns and infants, including nutrition, energy requirements, and thermoregulation. We demonstrate that the predicted infant growth was consistent with the recommendation by the World Health Organization. We assessed the infant-WBMs' reliability and capabilities for personalization by simulating 10,000 newborns based on their blood metabolome and birth weight. Furthermore, the infant-WBMs accurately predicted changes in known biomarkers over time and metabolic responses to treatment strategies for inherited metabolic diseases. The infant-WBM resource holds promise for personalized medicine, as the infant-WBMs could be a first step to digital metabolic twins for newborn and infant metabolism.

Stoffwechselflexibilität – eine wichtige Grundlage des Behandlungserfolgs: Prospektive Kohortenstudie über den Einfluss der osteopathischen Lebensstilberatung auf die metabolische Flexibilität

Metabolic flexibility is the ability of the metabolism to efficiently adapt to the food supply and energy requirements. It is ensured by healthy mitochondria and a balanced hormone system, and it is important for osteopaths as it is essential for the healthy interplay of bodily functions. A loss of metabolic flexibility leads to insulin resistance and is linked to many conditions that we treat in practice on a daily basis. By means of lifestyle advice, osteopaths can increase the effect of their treatments. An adapted lifestyle prevents the circulation of pro-inflammatory cytokines and obesogenic and pathogenic concentrations of certain hormones, leading to improved self-healing powers.Based on a prospective study, we show that lifestyle counseling by osteopaths, accompanied by lifestyle coaches, has positive effects on metabolic flexibility and thus on metabolic health. We osteopaths can ensure a healthy metabolism and are well advised to point out the health-promoting effects of carbohydrate restriction and fasting to our patients.

Long‐term tracking reveals the influence of body size and habitat type on the home range of Antillean manatees (Trichechus manatus manatus)

AbstractAntillean manatees (Trichechus manatus manatus) are endangered coastal, marine, and riverine megaherbivores with high environmental plasticity, constrained by tidal and seasonal water level cycles that affect access to food and fresh water. Accurate quantification of the species' habitat requirements, typically achieved through home range (HR) estimation, is required to implement area‐based conservation initiatives. In this study, we used GPS tracking data from 38 wild and captive‐rehabilitated released manatees to estimate HR using autocorrelated kernel density estimators (AKDE) and average time speed. We investigated whether body size, habitat type, sex and behavioural group influence home range size due to energy requirements, resources availability, a scramble‐competitive polygyny mating system, and adaptation to the wild. Eighteen manatees exhibited range‐resident behaviour, with a mean 95% home range of 72.96 km2 (± 218.52) and a median of 10.69 km2. The mean daily speed was estimated to be 13.47 km/day (± 4.16). Home range and body size were positively correlated, consistent with HR allometry theory. Long‐term tracked individuals showed a trend of increasing HR over time. Only four released animals (17.4%) were range‐resident, suggesting that they may need additional time to establish a home range. Individuals using only the marine environment had larger home ranges compared to mixed (marine and estuarine) and estuarine environments, probably due to freshwater availability. Our study contributes to the understanding of the factors driving manatee movement and provides more accurate estimates of area requirements, which can inform the establishment and zoning of marine protected areas.

Amidst Cytokine Storm in Metabolic Diseases: Can 2-deoxy-D-glucose (2-DG) Cure COVID-19?

Abstract: The SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2)-related pandemic disease COVID-19, which began in China in 2019, became the leading cause of fatalities globally. The transmission rate of the virus is directly proportional to the so-called ‘dance dynamic’ energy of the spike protein as this phenomenon favours the ligand-receptor binding. The clinical spectrum of the COVID-19 disease, which includes (inflammation, cytokine storm, and multi-organ dysfunction), puts Corona Warriors active in various aspects of the disease, such as the efficient management of critically ill COVID-19 patients, in danger of losing their lives. Due to its effects on an ancient oxygen-independent glycolytic pathway, anti-inflammatory properties, and competitive interaction with viral proteins, 2-deoxy-D-glucose (2-DG), which is being developed in India at the Defence Research and Development Organization (DRDO), has emerged as a ground-breaking agent for COVID-19 treatment. After a virus gains entry into host cells, it is found that metabolic reprogramming takes place to meet the nutritional and energy requirements for virus reproduction. The recent approval of 2-DG for adjunctive emergency usage by the Drug Controller General of India (DCGI) may mark a turning point in the management of mild to moderate COVID-19 infection.

Increasing the Volume of Delivered Enteral Feeds Using a Volume-Based Feeding Protocol in a Neuroscience Intensive Care Unit.

Iatrogenic malnutrition is a significant burden to patients, clinicians, and health care systems. Compared with well-nourished patients, underfed patients (those who receive less than 80% of their daily energy requirement) have more adverse outcomes related to nutritional status. Volume-based protocols allow for catch-up titrations, are consistently superior to rate-based protocols, and can be implemented in most settings. This project was conducted in an 8-bed neuroscience intensive care unit in which up to 41% of patients who required enteral feeding were underfed. This quality improvement clinical practice change project used a before-and-after design to evaluate (1) the effect of implementing a volume-based feeding protocol on the delivery of enteral feeds and (2) the effect of a nutrition-based project on staff members' attitudes regarding nutrition in critical care. The effectiveness of a volume-based feeding titration protocol was compared with that of a rate-based feeding protocol for achieving delivery of at least 80% of prescribed nutrition per 24-hour period. Staff members' attitudes were assessed using a survey before and after the project. During 241 enteral feeding days (n = 40 patients), the percentage of delivered enteral feeding volume and the percentage of days patients received at least 80% of the prescribed volume increased after volume-based feeding was implemented. After project implementation, 74 staff members reported increased emphasis on nutrition delivery in their practice and a higher level of agreement that nutrition is a priority when caring for critically ill patients. Using a volume-based feeding protocol with supplemental staff education resulted in improved delivery of prescribed enteral feeding.

Micelle-mediated growth of gold nanocrystals on a surface

Understanding nanocrystal growth is crucial for several reasons, as it plays a significant role in various scientific, technological, and industrial applications. Knowledge of nanocrystal growth allows scientists and engineers to control the size, shape, and composition of nanocrystals. This control is essential for tailoring the properties of nanomaterials for specific applications, such as electronics, catalysis, sensing and medicine. Nanocrystals are used in various biomedical applications, such as drug delivery, imaging, etc. Understanding their growth is essential for designing nanomaterials with specific functionalities for targeted drug delivery and imaging modalities. A molecular dynamics simulation study has been carried out to investigate the growth of nanocrystals in aqueous solutions in the presence of surfactants. In this study, we investigated the structural and thermodynamic properties of a micelle formed by cetyltrimethylammonium bromide (CTAB) in the aqueous solution and used that to quantify its role in the nucleation process when gold nucleates are in close proximity to another gold nanoparticle or surface. The path through which the nucleate gets fused with other entities, such as gold nanoparticles or surfaces, in the presence of a micelle in solution needs an explanation. We have shown the path and quantified energy required for the gold nucleate to get infused into the gold surface. Well-dispersed sets of gold atoms in solution were subjected to a series of steered molecular dynamics simulations, and it revealed that gold atoms, individually, must overcome an energy barrier of 10.52 ± 0.3 kcal/mol to start nucleating on the substrate. Due to this energy barrier, atoms form aggregate or nucleate inside the micelle. To control the release of the engulfed nucleate into the micelle onto the substrate, one needs to understand the mechanism of its release and quantify the energy requirement for the process. Here, we have used an enhanced sampling technique (umbrella sampling) to calculate the free energy required for the process mentioned above. A gold nucleate would require an additional energy of ∼10.36 kcal/mol to break the strong layering of micelle and water on the substrate. The radius of gyration and order parameter calculations show the extent of deformation of the micelle while releasing the engulfed nucleate on the substrate, and it gives us a recipe to alter the shape of the micelle and easier release of the nucleate on the surface. This study summarizes the path of nucleation of nucleates in the micellar solution and the recipe for the easier release of nucleates on the substrate.

Growth and body composition of dairy calves fed only milk replacer at 3 intakes

Determination of energy requirements for growth depends on measuring the composition of body weight (BW) gain. Previous studies have shown that the composition of gain can be altered in young dairy calves by composition of the milk replacer diet. Here, our objective was to determine body composition and the composition of empty body gain in young calves fed increasing amounts of a milk replacer containing adequate CP. Male Holstein calves underwent an adjustment period of 14 d after birth in which they were fed whole waste milk at 10% of BW. Calves were then stratified by BW and randomly assigned to either an initial harvest group (n = 11) or to groups fed 1 of 3 milk replacer amounts and harvested after 35 d of growth. All treatments consumed the same milk replacer containing 24.8% CP (dry matter [DM] basis; from all milk proteins) and 18.9% fat, reconstituted to 12.5% solids. Treatments were milk replacer fed at 1.25% of BW (DM basis; n = 6), 1.75% of BW (n = 6), or 2.25% of BW (n = 8), adjusted weekly as calves grew. Calves fed at 1.25% or 1.75% of BW were fed twice daily and those fed 2.25% of BW were fed 3 times daily. No starter was offered. Post harvest, the bodies of calves were separated into 4 fractions: carcass; total viscera minus digesta; head, hide, feet, and tail; and blood. The sum of those 4 fractions was empty BW, which increased linearly as amount of milk replacer increased. Final heart girth and body length, but not withers height, increased linearly as intake increased. Gain:feed increased linearly with increasing milk replacer. Feeding more milk replacer increased the amounts of lean tissue and fat in the body. The percentages of water and protein in the final body decreased linearly, whereas fat percentage and energy content increased linearly as intake increased. As gain increased, the percentage of protein in gain decreased and the percentage of fat increased, resulting in an increase of energy content of EBW gain. Efficiency of energy use (retained energy:gross energy intake) increased linearly but retained energy:metabolizable energy available for growth was not different among treatments. Efficiency of protein use increased quadratically as feeding rate increased; there was no further increase at 2.25% of BW. Plasma insulin-like growth factor 1, insulin, and glucose increased linearly, whereas urea-N decreased linearly, as milk replacer intake increased. Our data document changes in body composition that affect estimates of retained energy in the bodies of calves harvested at a common age. These data are important for calculations of energy requirements for young calves.

Intake profile, milk production and energy balance of early lactation spring calving Holstein Friesian and Jersey x Holstein Friesian dairy cows in high utilisation pasture-based systems

Early lactation is a critical period for dairy cows as energy requirements rapidly increase with the onset of lactation, however, early lactation dry matter intakes (DMI) in pasture-based systems are under-measured. The objectives of this study were 1) to measure and profile total DMI (TDMI) and animal performance of dairy cows during early lactation in a pasture-based system 2) to investigate early lactation energy balance in pasture-based systems and 3) to examine production efficiencies including TDMI and milk solids production per 100 kg bodyweight. Eighty spring-calving dairy cows were allocated to a grazing group as they calved over a 2 year period (2021 and 2022). Cows were offered a daily herbage allowance to achieve a post-grazing sward height of 4 cm with silage supplementation when necessary due to inclement weather. Total DMI was measured using the n-alkane technique over a 12 week period from 1st of February to the 23rd of April. Total DMI and daily milk yield were significantly affected by parity with both variables being greatest for third parity animals (17.7 kg DM and 26.3 kg/cow/day, respectively), lowest for first parity (13.2 kg DM and 19.6 kg/cow/day, respectively) and intermediate for second parity animals (16.8 kg DM and 24.1 kg/cow/day, respectively). Peak TDMI was reached on wk 10 for first parity animals (14.6 kg DM), wk 11 for second parity animals (19.3 kg DM) and wk 12 for third parity animals (19.9 kg DM). Parity also had a significant effect on UFL (feed units for milk) feed balance as first parity animals experienced a greater degree of negative energy balance (-3.2 UFL) compared with second and third parity animals (-2.3 UFL). Breed and parity had an effect on production efficiencies during the first 12 weeks of lactation as Jersey x Holstein Friesian cows had greater TDMI/100 kg bodyweight and milk solids/100 kg bodyweight compared with Holstein Friesian cows.

Microwave-assisted ammonia decomposition over metal nitride catalysts at low temperatures

The negative environmental impact of fossil fuel-based energy systems has unveiled the need to develop a COx-free sustainable hydrogen (H2) economy. Employing a microwave-assisted route, a ternary metal nitride catalyst (i.e., Co2Mo3N), and a low-temperature-pressure NH3 decomposition process, this study investigated the possibility of developing a distributed H2 production process. This study not only explored lower cost-based catalyst systems but also the use of a microwave reactor to increase the energy efficiency of the process. Results from catalytic NH3 decomposition experiments, performed in microwave reactors on Co2Mo3N catalyst, demonstrated the peak energy efficiency (of ∼0.006 kgH2/kWh) at 400 °C in ambient pressure (with an NH3 conversion >90%) which was around ninety times (∼90 x) more efficient than a conventional system. Activation energy calculation also displayed a 20% less energy requirement for the microwave-based process (∼31 kJ mol−1) than the conventional system (∼37 kJ mol−1), indicating the advantage of the microwave-based process. Further microwave-assisted catalytic measurements and characterization of the Co2Mo3N catalyst, using x-ray diffraction (XRD) technique and scanning electron microscopic (SEM) images, revealed the excellent stability of this material at its peak performance (at 400 °C) and illustrated the potential of using this catalyst for a sustainable, economic, and energy-efficient approach for producing COx-free H2.

Assessing the Nutritional Gap among Under-five Children in Urban Mysore – Cross-sectional Study

Abstract Introduction: Malnutrition in children under 5 years is one of the leading problems affecting their growth and development. According to the National Family Health Survey-5 data in urban areas in India, 27.3% were undernourished, 30.1% were stunted, 18.5% were wasted, 7.6% were severely wasted, and 4.2% were overweight. Therefore, it is necessary to determine their nutritional gap and its factors to prevent complications. Materials and Methods: The analytical cross-sectional study was done in urban Mysore. The sample size was 171 under-five children. Malnutrition was assessed using the WHO standards by calculating weight for height. A questionnaire on associated factors was used. The calorie intake was calculated using the 24-h recall method. Statistical Analysis Used: Data were entered into an Excel spreadsheet and analyzed using SPSS software version 26 and inferential analysis was done using the Chi-square test. Results: The prevalence of nutritional gap is 28.1% among 171 under-five children. Factors such as socioeconomic status, education of the head of the family, energy requirement, and midupper arm circumference also were found to be have significant effects on nutritional status. Conclusion: Most of the under-five children were found to be deficient in calorie intake and the prevalence of wasting in the field practice area is lower than the national average. Few risk factors are associated with the nutritional gap in children under the age of five.

Ray-Tracing modeling for urban photovoltaic energy planning and management

The traditional Radiative Transfer Modelling solutions for Solar Energy monitoring and forecasting often provide outputs for a single point location or an area location. However, for high resolution representation of areas these solutions suffer due to low simulation speeds. This approach makes it difficult for decision-makers to accurately estimate the solar potential of the administrative area and plan installations accordingly. In this direction, the study introduces three-dimensional Ray-Tracing based radiative modeling which is a high-speed area-based solution for solar energy monitoring. The three-dimensional ray-tracing was simulated by using advanced graphic creation platforms and cloud computing in conjunction with satellite data of the clouds, aerosols, building shadows effects and three-dimensional representations of the city using Cesium 3D tiles and Unreal Engine ®. The entire system was developed in a hybrid model to be exploited by urban planners for solar PV installations and by electricity distribution system operators for energy management and efficient incorporation of the produced energy into the regular and smart grids. This study implements and analyses this Ray-Tracing model for solar photovoltaic energy potential estimation at a rooftop level for the city of Athens, Greece. The total rooftop exploitable area in Athens was found to be close to 34 km2, which is able to massively host distributed PVs followed by almost 4.3 TWh of annually produced energy, whilst Penteli (a Municipality in Athens) possessed a potential of 96.8 GWh with an exploitable area of just 0.8 km2. This amount of energy, in a hypothetical full coverage scenario, is able to provide for 48.7% of Athens’s total energy requirement. Similar year-long simulations were conducted using the EU’s largest rooftop solar installation at Stavros Niarchos Foundation Cultural Center and randomly selected rooftops having solar installations in different municipalities in Athens. With these estimated solar potential values, the gross savings in natural gas consumption and hence the CO2 equivalent emissions can be computed. With the current estimated solar potential of Athens, the analyzed savings accounted of nearly 2.43 billion euros and 18 MT CO2 equivalent emissions. These computed annual savings are capable of covering installation costs for nearly 100,000 new solar installations. The end-product of this study is the development of a solar cadastre web tool which will support the decision-makers in the energy transition policies and the solar PV penetration into the urban environment and eventually drive the effort into renewable energy transition across the globe.