Large Plants Research Articles

Site effect on seismic response of buried nuclear power plant structure

The development of multifunctional, multipurpose small modular next generation nuclear reactors has become a trend in designing small-scale nuclear power stations. In this study, taking a new next-generation buried nuclear power structure as the target structure, a 3D finite element model of the site-nuclear power plant structure system was established, and its response at different sites was studied. Using the internal substructure method, this study initially explored the impact of earthquake input and artificial boundary locations on the structural response. The results indicate that the internal substructure method enhances computational efficiency without compromising accuracy. For this model, it is recommended to input earthquake motion close to the structure, set the lateral boundary location to three times the width of the structure, and set the bottom boundary location to two times the depth of the structure. Subsequently, an investigation into the response of the structure at varying site wave velocities is conducted. The results show that as the wave velocity increases, the acceleration response intensifies, while the displacement response diminishes. However, the relationship is nonlinear; the response exhibits less variation with increasing site wave velocity. The seismic response of a structure is profoundly influenced by site conditions, emphasizing the imperative need for careful consideration of specific site characteristics in seismic analyses. In addition, the response pattern of the overall structure is significantly different from that of conventional large surface-sited nuclear power plants, and further research should be conducted on the seismic response characteristics of buried nuclear power plants.

Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic

ABSTRACT The Green Deal strategic plan for the development of renewable energy until 2030 is of particular importance in the context of the restoration of Ukraine’s post-war energy infrastructure. One of the key topics is the analysis of the possibilities of installing large solar power plants in Ukraine. In this article, a multi-criteria analysis of the suitability of the territory of Ukraine is carried out on the basis of climatic, topographic and land use criteria. To assess land suitability, criteria standardized using fuzzy logic with weights determined by experts through the method of pairwise comparisons were combined using a weighted sum model. Upon completing the study, a suitability map was generated, depicting zones with varying levels of suitability (ranging from 0 to 1) for solar power plant placement. It was found that more than 35.68% of the country has average values of the suitability index (0.65–0.7), and approximately 18.82% show high indicators (<0.7). Conditions are especially favorable in the south of Ukraine.

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.

Wind Speed and Vegetation Coverage in Turn Dominated Wind Erosion Change With Increasing Aridity in Africa

AbstractWind erosion is one of the main causes of land degradation and desertification. Clarifying the spatiotemporal variations of wind erosion and the dominant factors of its spatial characteristics and the temporal trend will contribute to the establishment of appropriate wind erosion control and management practices, which is essential for combating global land degradation and strengthening ecological protection in drylands. Here, we assessed wind erosion in Africa during 2001–2020 based on the Revised Wind Erosion Equation (RWEQ). We also analyzed the influential factor of spatial characteristics and temporal variation based on machine learning and other methods under different aridity. Results revealed that the average annual wind erosion modulus was 16,672 t/km2/a in Africa during 2001–2020, with hyper‐arid areas and arid areas accounting for more than 90% of the total wind erosion modulus. The spatial characteristics of wind erosion were dominated by natural factors but not anthropogenic activities. Except in hyper‐arid areas, wind speed and vegetation coverage together dominated the spatial characteristics. Wind speed was the dominant factor in wind erosion change, while in arid and semi‐arid areas, the capability of vegetation coverage to affect wind erosion change was comparable to wind speed. It can be concluded that, although revegetation does contribute to the reduction of wind erosion in arid and semi‐arid areas, taking into account water resource constraints and land use conflicts, large plantations can be replaced with windbreaks to increase vegetation coverage while reducing near‐surface wind speed, which improves the sustainability of ecological projects aimed at combating land degradation and desertification.

Yield Gaps and Factors Affecting Production Inefficiency in Smallholder Oil Palm Plantations in Muaro Jambi District Jambi Province

Abstract Oil palm plantations in Indonesia, including in Jambi Province, are categorized into large private plantation, state-owned plantation, and smallholder plantation. The productivity of smallholders is the lowest compared to the other 2 categories. At the district and sub-district level, the yield of smallholder oil palm is also vary, spreading from 1,675 to 6,680 kg CPO per ha per year. The large yield variation is inseparable from the plantation management among farmers. The objectives of this research are to study the yield gap and technical efficiency of production among smallholders, and to analyze the factors that affect the technical production inefficiency in smallholder oil palm plantation. The research was conducted in Muaro Jambi District as a main palm oil producing district in Jambi Province. Data was collected from a sampel of 120 independent smallholders. One way anova test was used to study the yield gap and double natural log (ln) of Cobb–Douglas stochastic frontier production function was used to analyze the technical efficiency and some factors affects its inefficiency. The results revealed that there were significant differences in yield among smallholders based on area size, level of education, and activeness in the farmer organizations. However, on average, the management of oil palm by independent smallholders is quite technically efficient. The factor that significantly affects the level of technical inefficiency are the size of the area and farmers’ level of education.

Measuring wake deflection from SCADA data during wake steering using machine learning

As wake steering is implemented on large wind plants, methods for evaluating how well these systems optimize plant performance are needed. The data analysis from experiments conducted so far generally focuses on evaluating the improvement in power or energy production of the plant and comparing that to the predicted improvement. In this study, we explore a new approach to provide additional insight and validation of optimization tools by measuring the wake deflection experimentally using only the downstream turbine as a sensor. This approach is demonstrated using the SMARTEOLE wind plant wake steering experimental data. Light gradient boosting machines (LGBM) and Gaussian process (GP) machine learning models are trained and then interrogated by making a set of predictions under defined conditions to determine the wake deflection observed at the downstream turbine. The data set is sparse, particularly for larger yaw angles, and noisy due to factors not captured in the SCADA leading to relatively high uncertainty in the predictions. The GP model is better suited to smoothly fit this data. Using the GP model, a wake deflection of 0.35 rotor diameters at 3.7 rotor diameters downwind is estimated for a yaw error of 20 degrees on the upwind turbine.

Comparative shoot morphology between cultivated Utricularia bremii plants and those growing in natural habitats in the Czech Republic

In summer 2023, the morphometry of large adult plants of Utricularia bremii was studied in an outdoor culture and at three shallow pools in two oligotrophic sand-pits in South Bohemia, Czech Republic, with a focus on shoot length and biomass, shoot branching traits and ecological conditions. Overall, the mean length of main shoots was 34-43 cm (range 23-73 cm) and the shoots bore on average 11-18 branches of three orders. On main shoots, branches were initiated on average every 7.7-9.2 internodes, which indicates a very fast propagation and growth. A new branch is theoretically initiated every ca. 3.3-3.8 days. This study confirms that shallow, well-lit, oligomesotrophic, soft-water sand-pit pools may represent an ecological optimum for this species.

Multi-level anomaly detection of lithium battery energy storage system

Abstract The energy storage technology route represented by lithium battery energy storage strongly supports China’s energy structure transformation. The widespread use of lithium batteries also poses a significant safety risk that is often overlooked. Energy storage system security is facing severe challenges. It is very beneficial for the safety of energy storage systems to predict the potential faults of lithium batteries before they are used and find anomaly batteries in time. This paper proposes a three-stage anomaly detection method based on statistics and density concepts to provide real-time potential fault prediction of lithium battery energy storage systems. Considering both efficiency and accuracy, this method can detect anomaly samples from shallow to deep. Finally, the battery condition of a large energy storage plant was studied, and 11 anomaly batteries were detected. The proposed method is significant for safely operating large energy storage power stations.

Inheritance and Response to Selection for Seed Weight Using the Large Seeded Landrace Oman 2 of Lucerne

Seed weight in lucerne (Medicago sativa) may affect subsequent seedling vigour and stand establishment. A landrace of lucerne (Oman 2) from Oman has a 100-seed weight over 60% larger than the largest seeded parent used in previous studies. Crosses were made between Oman 2 and the smaller-seeded cultivar Titan 9, and segregating families were produced for genetic analysis and measurement of response to selection for seed size. There were significant differences in 100-seed weights between the parents (Oman 2 and Titan 9) and subsequent families. Regression of 100-seed weights of F2 families versus F1 parents was highly significant (p &lt; 0.001), as well as 100-seed weights of the F3 families versus F1 parents. Analysis of diallel crossing among large and small-seeded F1 plants revealed highly significant general (GCAs) and specific (SCAs) combining abilities, as well as highly significant reciprocals. The GCA effect was much greater than the SCA effect with a GCA/SCA ratio of 15.9. This large ratio agrees with the significant regression coefficients and indicates that 100-seed weight in lucerne has high heritability. The significance of reciprocals was due to a large maternal effect in which large-seeded maternal parents produced progenies with significantly larger seeds relative to small-seeded parents. These results indicate that large-seeded plants should be used as the maternal parents in crosses and for recurrent selection to increase the seed size of progenies.

Characterization And Genetic Relationship of Several Tomato (Solanum lycopersicum L.) Genotypes from Various Regions

The research aims to obtain information about the morphological characters and genetic relationships of several tomato genotypes from various regions. The study was conducted from May to October 2023 at the Experimental Garden and Plant Breeding Laboratory, Faculty of Agriculture, University of Riau. The research used a randomized block design (RBD) consisting of eight genotypes and four repeats, and 32 experimental units were obtained. The observations were made to observe some qualitative characters. Qualitative data were analyzed using principal component analysis and cluster analysis to see genetic relationships. The results showed that the Magelang genotype (T27) had a high average plant fruit weight of 619.74 g, the Pane tongah (T24) had an average thick fruit flesh of 6.05 mm, the Silimakuta (T22) had an average large fruit size of 63.28 g. In contrast, the Purba (T25) had an average number of large planting fruits of 15.41 pieces. Grouping eight tomato genotypes based on clustering of MC1 and MC2 and cutting the dendrogram at a 90% similarity rate resulted in six groups. Group One consists of three genotypes, specifically Silimakuta (T22), Alahan Panjang (T26), and Magelang (T27). Group Two has Raya (T23), Group Three has Purba (T25), Group Four has Pane tongah (T24), group five has Servo F1 and group six has Ratna. The closest kinship based on the smallest euclidiean distance value is the Silimakuta (T22) and Alahan panjang (T26), with a value of 19.44. The genotypes with the farthest similarity are Raya (T23) and Purba (T25) because they have a 46.24 genetic distance

Responses of Epilithic Diatoms to the Construction of Small Hydropower Plant in a Serbian River

Energy of running water accounts for almost 3/4 of the global supply of renewable energy sources and almost 1/5 of total electricity generation. Large and small hydropower plants are associated with a number of environmental problems. The main aim of this study is to investigate the impact of SHP on the diatom community. A total of 149 diatom taxa classified in 47 genera were identified, some of which are considered invasive (Achnanthidium druartii), rare (Gomphonema zellense, Frustulia amphipleuroides) and Navicula radiosafallax is first finding for Serbia. The impact of SHP is evident considering diatoms diversity and relative abundance of dominant species in three seasons (summer, autumn and winter). Values of most measured physico-chemical parameters changed immediately downstream of the SHP. Based on most diatom indices, the water of the Ljuboviđa River had a good ecological status. TID and TDI indicated a predominantly moderate water quality of the Ljuboviđa River. According to Serbian regulations, the Ljuboviđa River had a high ecological status.

Heavy metals in urban soil: Contamination levels, spatial distribution and human health risk assessment (the case of Ufa city, Russia)

The article examines the concentration of 9 heavy metals (Hg, Pb, Zn, Cr, Co, Ni, Cu, Ba and V) and As in the soil cover of the urban area in one of the largest cities in Russia, Ufa (the Republic of Bashkortostan). It is compared with aggregated data of concentrations on urbanized areas in surface soils throughout the world. For elements exceeding the average background values in soils of the urban area (Cr, Ni, Cu and Co), the average concentrations in the city soils were 346, 101, 51 and 18 ppm, respectively. Using enrichment factor (EF), geoaccumulation index (Igeo), and concentration coefficients (CC), Cr and Ni were identified as elements entering the soil cover as a result of anthropogenic pollution. Although the level of their enrichment and contamination of soils in the most territory of the city corresponds to the moderate class, there are sites with critical threshold values.Spatial analysis of heavy metals distribution was carried out based on the results of pollution load index (PLI) and ecological risk factor (Er) calculations with the use of graphical presentation of results, which allowed specific and detailed description of sites calling for special attention. The use of cluster analysis allowed dividing the sample of chemical elements into groups with probably similar sources of entry into the environment.Monte Carlo modeling of risk calculation showed negligible non-cancer risks for both adult and child populations in most of the city. While children's exposure to Cr was of concern in the more residential part of the city, free of large industrial plants, As posed a threat with respect to cancer risks in the southern part of the city, with elevated concentrations and other HMs in vicinity of the oil refineries.

Comparative Analysis of Leadership and Economic Impact of the Palm Oil Industry in Indonesia

Palm oil is one of the biggest industries that contributed to Indonesia’s economy. In this context, this article aims to investigate a comparison of the government policies in Indonesia’s palm oil under the Jokowi leadership and the previous presidents and how this industry contributed to national economic growth. We reveal that every president has different programs to develop the palm oil industry. Soeharto Perusahaan Inti Rakyat (PIR) or Nucleus Estate and Smallholders (NES) program has greatly affected the extent of Indonesia’s large plantations today. Meanwhile, during Megawati’s presidency, there were not many changes in terms of policies or regulations. On the other side, under Susilo Bambang Yudhoyono’s presidency, Indonesia’s palm oil industry experienced new innovations in terms of palm oil policy. The biodiesel program that was introduced in 2006 made Indonesia’s palm oil industry move to the next stage. This policy aims to reduce Indonesia's dependence on fossil fuels. Furthermore, this program became the forerunner of the biodiesel program which is currently being accelerated by President Jokowi. We argue that Jokowi’s programs such as the Biodiesel Mandatory Program (B30, etc.) through Pertamina, Peremajaan Sawit Rakyat, Moratorium on land clearing permits, and cooperation through Council of Palm Oil Producing Countries (CPOPC) been the right step to stimulating the national economy.

Evaluation of the Ecological Environment of the Fuhe River Based on the Diversity of Fish

This article takes the Fuhe River, which has water flowing into Baiyangdian all year round, as the research object. Through actual investigation and measurement of planktonic flora and fauna, benthic organisms, fish, and large vascular plants in the river, and based on fish diversity, the comprehensive evaluation index method is used to scientifically evaluate the ecological environment quality of the Fuhe River. The results showed that a total of 28 species of phytoplankton, 30 species of zooplankton, 11 species of benthic animals, 8 species of submerged plants, and 11 species of fish were detected in the survey area; From a diversity perspective, the diversity of the upstream and downstream river sections is higher than that of the downstream. Overall, the ecological environment quality of the Fuhe River in Baoding City ranges from medium to good, with good water quality in the upstream section and moderate water quality in the middle and downstream sections. This study provides a case study for the scientific evaluation of the ecological environment quality of the upper reaches of Baiyangdian.

Leveraging wastewater: Validating the national-scale SARS-CoV-2 surveillance system in Cyprus for elevated public health surveillance and enhanced epidemiological insight

The validation of a cross-country, national-scale SARS-CoV-2 wastewater surveillance system for the monitoring of public health in the Republic of Cyprus, took place during October 2021-September 2022. The chronicle of SARS-CoV-2 genetic marker concentrations and prevailing Variants of Concern (VoCs) in all large Wastewater Treatment Plants (WWTPs) of Cyprus for a continuous period of 1 year, was recorded through an integrated, multi-disciplinary sewage-based surveillance system set up to track, visualize and make the collected information and statistical analysis outcomes, publicly available. Composite sampling and physicochemical parameter normalization of Population Equivalents (PE) and SARS-CoV-2 genetic marker concentration loads were utilized.Chemical Oxygen Demand (COD) was selected for normalization of genetic fragment loads. The selection of a normalization method should be tailored according to the characteristics of each individual city/WWTP population structure, flows and wastewater origin. Metagenomic sequencing showed the transition of the SARS-CoV-2 genome from the Delta to the Omicron variant prevalence, in agreement with changes in wastewater gene concentrations. Differences in the early detection of SARS-CoV-2 genetic markers were found among cities. The established system was able to track and monitor the trend of SARS-CoV-2, even in times of absence of other public health measures such as tracing of confirmed COVID-19 cases, showing the capacity of the wastewater system to quickly capture shifts in infections.The work done herein, confirmed the ability of the national-scale system to timely observe pandemic trends, evaluate effects of control measures implemented and monitor the burden of infected patients that shed SARS-CoV-2 fragments.

Application of the fast 3D simplified simulation method for the large CAP1400 nuclear island evaporator based on the coupled source term method

As for the evaporator of the large CAP1400 nuclear power plant, it has a large volume with numerous tubes along with the complex flow heat transfer phenomenon. The traditional direct simulation method usually takes a lot of time and computing resources to obtain the flow heat transfer data. To solve the problem, a fast simulation method established on the porous medium source term was herein proposed. In this simplified simulation method, the complex evaporator model is replaced with the porous medium model, where the derived heat and momentum source terms are added into the governing equation to control the heat flows. Five kinds of simplified evaporator models with different numbers of pipes were set to be the research objects, the internal flows inside the evaporator were studied with the traditional direct simulation method and the newly proposed simplified simulation method. Via comparative analysis, it can be found that: 1) The newly proposed simplified simulation method accurately captures the distribution characteristics of pressure, temperature, and entropy production in the evaporator, serving as a viable alternative to traditional direct simulation methods. Specifically, the average simulation errors for inlet-outlet pressure difference and temperature difference are both less than 5 % and 7 %, respectively. 2) The newly proposed simplified simulation method can capture the mutual interference effects between the evaporator and the nuclear main pump. When the evaporator is connected in series with the main nuclear pump, the average head of the main pump increases by 0.34 m, while the efficiency decreases by an average of 0.34 %. The average simulation errors of the simplified simulation method are 0.06 m and 0.13 %, respectively. 3) The application of the simplified simulation method leads to a significant 85 % decrease in the average computational cost for evaporator calculations and a notable 36 % decrease for combined calculations of the evaporator and main pump. The study here is expected to provide technique support for the simulation and evaluation of the large nuclear island.

Assessment of microbial flora and pesticidal effect of vermicast generated from Azadirachta indica (neem) for developing a biofertilizer-cum-pesticide as a single package

The soil comprising organic matter, nutrients, serve as substrate for plant growth and various organisms. In areas where there are large plantations, there is a huge leaf litter fall. The leaf litter upon decomposition releases nutrients and helps in nutrient recycling, for which the soil engineers such as earthworms, ants and termites are important key players. In this context, the present study was conducted to assess the characteristics of the vermicast obtained by vermicomposting neem leaf litter in terms of microbial flora, plant growth promoting properties and antagonistic activities of the vermicast against phytopathogens. Vermicomposting of neem leaf litter was done using two epigeic earthworm species Eisenia fetida and Eudrilus eugeniae. The vermicast exhibited antagonistic potential against plant pathogens. Out of the four vermiwash infusions studied, the 75 % formulation reduced the disease incidence against mealybug by 82 % in the tree Neolamarkia cadamba. The result of the study suggests that vermicast made from neem leaf litter may be a potent combination of a biofertilizer and a pesticide.

GeneMark-ETP significantly improves the accuracy of automatic annotation of large eukaryotic genomes.

Large-scale genomic initiatives, such as the Earth BioGenome Project, require efficient methods for eukaryotic genome annotation. Here we present an automatic gene finder, GeneMark-ETP, integrating genomic-, transcriptomic-, and protein-derived evidence that has been developed with a focus on large plant and animal genomes. GeneMark-ETP first identifies genomic loci where extrinsic data are sufficient for making gene predictions with "high confidence." The genes situated in the genomic space between the high-confidence genes are predicted in the next stage. The set of high-confidence genes serves as an initial training set for the statistical model. Further on, the model parameters are iteratively updated in the rounds of gene prediction and parameter re-estimation. Upon reaching convergence, GeneMark-ETP makes the final predictions and delivers the whole complement of predicted genes. GeneMark-ETP outperforms gene finders using a single type of extrinsic evidence. Comparisons with gene finders MAKER2 and TSEBRA, those that use both transcript- and protein-derived extrinsic evidence, show that GeneMark-ETP delivers state-of-the-art gene-prediction accuracy, with the margin of outperforming existing approaches increasing in its application to larger and more complex eukaryotic genomes.

Investigating the cost of mechanized unpaved road maintenance operations in Uganda

Force Account Mechanism (FAM) is the predominant road maintenance system in Uganda’s local government setup and a similar, though slightly different approach, is used in some large private sector agriculture plantations. With the Uganda Road Fund (URF) 2021/2022 annual report and previous research citing challenges in cost management and efficiency of the FAM method of road maintenance, it becomes paramount to analyse how FAM is implemented in government-led operations, in comparison to similar private sector approaches, while proposing possible solutions to these challenges. This research offered to analyse unpaved road maintenance cost drivers alongside providing a cost model solution to improve on cost prediction of the FAM system. Gulu District Local Government (DLG) and Kakira Sugar Limited (KSL) were selected as case study areas. Two descriptive research methods were used: observations and case study approach. The selected case study areas were accessible and reachable in terms of data. Control parameters affecting unpaved mechanized road maintenance were identified as machine repair costs, tool costs, labour costs, material costs, fuel costs and machine fuel costs. Unpaved mechanized road maintenance costs at KSL and Gulu DLG were computed as a cost/km ratio of 26,442,032Ugx/km (6,958.4USD/km) and 32,674,895Ugx/km (8,598.65USD/km) respectively. The Uganda National Roads Authority (UNRA) unpaved road maintenance costs were calculated as an average of 34,987,122.9Ugx/km (9,165USD/km) while the World Bank ROCKS database provided a comparable figure of 7,971USD/km (30,553,440.83Ugx/km). A USD to Ugx conversion rate of 3,800 was used. Two linear regression cost models with a 0.679 and 0.687 R2 value were computed, and these can be used in preliminary road maintenance cost prediction. The study recommends the need for an effective, digital road maintenance cost database system for mechanized unpaved road maintenance works, cost driver analytics and management, alongside improvement in aspects of maintenance processes at both the DLG and KSL. Further research can be conducted on equipment condition level prediction and analytics in the private sector and at the DLG.

Analysis of the causes of waste heat boiler leakage in large-scale chemical plants

A waste heat boiler is a kind of high-temperature and high-pressure heat exchanger in a large chemical plant, and its safe operation is directly related to the production efficiency and safety risk of a chemical plant. In this paper, the leakage failure analysis of a waste heat boiler in an ethylene plant is carried out, and the analysis methods such as field observation, macro observation of fracture, metallographic analysis, micro observation of fracture, phase analysis, and energy spectrum analysis are adopted respectively. The results show that the direct cause of the leakage of the waste heat boiler is the thinning of the wall thickness of the heat exchange tube caused by alkali corrosion, which leads to the overload and fracture of the heat exchange tube. The pits on the outer surface of some heat exchange tubes are caused by mechanical reasons, which are related to this leakage and closure. The corrosion failure of heat exchange tubes is widespread, which has a great influence on safety production and serious consequences. Through this comprehensive analysis, the failure mechanism is clarified, which can provide a reference for the maintenance of similar equipment. At the same time, preventive measures are put forward from the aspects of technology, structure, and detection to reduce the occurrence of similar accidents.