Type Of Storage Research Articles

The Evolution of Hillslope Hydrology: Links Between Form, Function and the Underlying Control of Geology

AbstractForm and function are two major characteristics of hydrological systems. While form summarizes the structure of the system, function represents the hydrological response. Little is known about how these characteristics evolve and how form relates to function in young hydrological systems. We investigated how form and function evolve during the first millennia of landscape evolution. We analyzed two hillslope chronosequences in glacial forelands, one developed from siliceous and the other from calcareous parent material. Variables describing hillslope form included soil physical properties, surface, and vegetation characteristics. Variables describing hydrological function included soil water response times, soil water storage, drainage, and dominant subsurface flow types. We identified links between form and hydrological function via cluster analysis. Clusters identified based on form were compared in terms of their hydrological functioning. The comparison of the two different parent materials shows how strongly landscape evolution is controlled by the underlying geology. Soil pH appears to be a key variable influencing vegetation, soil formation and subsequently hydrology. At the calcareous site, the high buffering capacity of the soil leads to less soil formation and fast, vertical subsurface water transport dominates the water redistribution even after more than 10,000 years of landscape evolution. At the siliceous site, soil acidification results in accumulation of organic material, a high water storage capacity, and in podsolization. Under these conditions water redistribution changes from vertical subsurface water transport at the young age classes to water storage in the organic surface layer and lateral subsurface water transport within 10,000 years.

Systematic Design of a Natural Sciences Collections Digitisation Dashboard

This paper describes the design and build of a pilot Natural Sciences Collections Digitisation Dashboard (CDD). The CDD will become a key service for the Distributed System of Scientific Collections Research Infrastructure (DiSSCo) and aims to improve the discoverability of natural science collections (NSCs) held in European institutions, both digitised and undigitised. Furthermore, it will serve as a dynamic visual assessment tool for strategic decision-making, including the prioritisation of digitisation. The CDD pilot includes high-level information from nine European NSCs, covering the number of objects, taxonomic scope, storage type, chronostratigraphy (Earth Science Collections), geographical region and level of detail in digitisation. This information is structured through a standardised Collection Classification Scheme, which uses high-level categorisation to describe physical natural science collections.

Energy Storage in Urban Areas: The Role of Energy Storage Facilities, a Review

Positive Energy Districts can be defined as connected urban areas, or energy-efficient and flexible buildings, which emit zero greenhouse gases and manage surpluses of renewable energy production. Energy storage is crucial for providing flexibility and supporting renewable energy integration into the energy system. It can balance centralized and distributed energy generation, while contributing to energy security. Energy storage can respond to supplement demand, provide flexible generation, and complement grid development. Photovoltaics and wind turbines together with solar thermal systems and biomass are widely used to generate electricity and heating, respectively, coupled with energy system storage facilities for electricity (i.e., batteries) or heat storage using latent or sensible heat. Energy storage technologies are crucial in modern grids and able to avoid peak charges by ensuring the reliability and efficiency of energy supply, while supporting a growing transition to nondepletable power sources. This work aims to broaden the scientific and practical understanding of energy storage in urban areas in order to explore the flexibility potential in adopting feasible solutions at district scale where exploiting the space and resource-saving systems. The main objective is to present and critically discuss the available options for energy storage that can be used in urban areas to collect and distribute stored energy. The concerns regarding the installation and use of Energy Storage Systems are analyzed by referring to regulations, and technical and environmental requirements, as part of broader distribution systems, or as separate parts. Electricity, heat energy, and hydrogen are the most favorable types of storage. However, most of them need new regulations, technological improvement, and dissemination of knowledge to all people with the aim of better understanding the benefits provided.

Intestinal microbiota composition of children with glycogen storage Type I patients

AimDietary therapy of glycogen storage disease I (GSD I) is based on frequent feeding, with a high intake of complex carbohydrates (supplied by uncooked cornstarch), restriction of sugars, and a lower amount of lipids. There is limited information about the dietary regimen in patients with GSD, which might affect the intestinal luminal pH and microbiota composition. The aim of this study to investigate the intestinal microbiota composition in patients with GSD receiving diet treatment.MethodTwelve patients who were followed up with GSD I after the diagnosis receiving diet therapy and 11 healthy children have been enrolled. Intestinal microbiota composition was evaluated by 16 s rRNA gene sequencing.ResultsA significant difference was found for beta-diversity between the GSD group and controls. A significantly lower abundance of Firmicutes and higher abundance of Actinobacteria was found in GSD group compared to the controls. Akkermansia, Pseudoalteromonas, Uruburella, and Castellaniella were dominant in the GSD patients at the genus level, while Faecalibacterium, Bacterioides, Gemmiger, Parabacteroides in the control group. At species level, Faecalibacterium prausnitzii decreased, and Akkermansia muciniphila were dominant in children with GSD.DiscussionThere is a substantial change in the composition of the gut microbiota, reduction of F. prausnitzii and an increase of A. muciniphila in children with GSD receiving consumption of uncooked cornstarch. Alterations of the intestinal microbiota might be related with the disease itself or dietary restrictions in patients with GSD, however, in certain condition, dysbiosis can negatively affect the course and make it difficult to control the disease.

Application of Copper-Sulfur Compound Electrode Materials in Supercapacitors.

Supercapacitors (SCs) are a novel type of energy storage device that exhibit features such as a short charging time, a long service life, excellent temperature characteristics, energy saving, and environmental protection. The capacitance of SCs depends on the electrode materials. Currently, carbon-based materials, transition metal oxides/hydroxides, and conductive polymers are widely used as electrode materials. However, the low specific capacitance of carbon-based materials, high cost of transition metal oxides/hydroxides, and poor cycling performance of conductive polymers as electrodes limit their applications. Copper-sulfur compounds used as electrode materials exhibit excellent electrical conductivity, a wide voltage range, high specific capacitance, diverse structures, and abundant copper reserves, and have been widely studied in catalysis, sensors, supercapacitors, solar cells, and other fields. This review summarizes the application of copper-sulfur compounds in SCs, details the research directions and development strategies of copper-sulfur compounds in SCs, and analyses and summarizes the research hotspots and outlook, so as to provide a reference and guidance for the use of copper-sulfur compounds.

Carbon Covering Method to Enhance the Storage Capacity of Materials Belonging to the Conversion and Alloy Storage Types

AbstractDriven by the development of energy storage systems (EESs), finding alternative anode materials forlithium‐ion batteries to replace the general carbon materials is becoming a hot research topic in the world. Using the metal oxides, metal sulfides, metal phosphides, metal selenides belonging to the conversion type and Sn, Sb, Bi, Ge, P and Si belonging to the alloy storage type seems to be a preferred option. Nevertheless, the demerits such as volume expansion and bad conductivity of alternative materials restrict their practical application. Carbon covering is an efficacious strategy to deal with the aforementioned issues because it can restrict the volume expansion and improve the conductivity of the composite materials effectively. This present review paper comprehensively describes the suitable carbon resources and preparation methods for expanding the practical applications of materials belonging to the conversion type and ally type in fabrications of negative electrodes.

Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters

With the development of green data centers, a large number of Uninterruptible Power Supply (UPS) resources in Internet Data Center (IDC) are becoming idle assets owing to their low utilization rate. The revitalization of these idle UPS resources is an urgent problem that must be addressed. Based on the energy storage type of the UPS (EUPS) and using renewable sources, a solution for IDCs is proposed in this study. Subsequently, an EUPS cluster classification method based on the concept of shared mechanism niche (CSMN) was proposed to effectively solve the EUPS control problem. Accordingly, the classified EUPS aggregation unit was used to determine the optimal operation of the IDC. An IDC cost minimization optimization model was established, and the Quantum Particle Swarm Optimization (QPSO) algorithm was adopted. Finally, the economy and effectiveness of the three-tier optimization framework and model were verified through three case studies.

Power Quality aspects of Smart Grids

This paper gives an overview of the smart grids developments, seen from a power-quality viewpoint; describes the main relations between smart grids and power quality, and goes into some detail for some of the aspects. Different types of real and virtual energy storage are distinguished. Power-quality monitoring in the smart grid is discussed in detail. Further aspects discussed in the paper are: emission by new devices; interference between devices and power-line communication; allocation of emission limits; improving voltage quality; immunity of devices; and weakening of the transmission grid. Although the smart grid brings many new power-quality challenges, these should not result in the introduction of unnecessary barriers against the introduction of new technology.

Water Loss: A Postharvest Quality Marker in Apple Storage

AbstractApple fruit can be stored for long periods of time, especially with the use of controlled atmosphere storage, but like many fruits and vegetables are susceptible to water loss. Water loss can result in compromised appearance such as skin shriveling, as well as loss of firmness, and reduced saleable weight, which in turn affect the income of growers and other industry stakeholders. Preharvest factors that can influence water loss in apples during the postharvest period include climate, cultivar, fruit size, tree age, orchard practices, and harvest maturity. Postharvest factors such as the storage temperature, relative humidity, storage type, and duration can also affect water loss in apple fruit during storage. The mechanisms of cuticle biosynthesis in water permeance, the role of stomata and lenticels, microcracking, crosstalk with mechanical injuries, storage disorders, and decay incidence during the storage of apples are reviewed. Additionally, the review summarizes: preharvest and postharvest factors influencing water loss; recent management strategies including pre-cooling, cold storage, controlled atmospheres, packaging, and anti-senescence chemicals; the use of edible coatings, as well as other non-chemical approaches for modulating water loss and maintaining storage quality. The review also provides direction for the industry to manage this destructive problem in the postharvest supply chain of apple fruit.

Convolutional Neural Network (CNN) Model for the Classification of Varieties of Date Palm Fruits (Phoenix dactylifera L.).

The popularity and demand for high-quality date palm fruits (Phoenix dactylifera L.) have been growing, and their quality largely depends on the type of handling, storage, and processing methods. The current methods of geometric evaluation and classification of date palm fruits are characterised by high labour intensity and are usually performed mechanically, which may cause additional damage and reduce the quality and value of the product. Therefore, non-contact methods are being sought based on image analysis, with digital solutions controlling the evaluation and classification processes. The main objective of this paper is to develop an automatic classification model for varieties of date palm fruits using a convolutional neural network (CNN) based on two fundamental criteria, i.e., colour difference and evaluation of geometric parameters of dates. A CNN with a fixed architecture was built, marked as DateNET, consisting of a system of five alternating Conv2D, MaxPooling2D, and Dropout classes. The validation accuracy of the model presented in this study depended on the selection of classification criteria. It was 85.24% for fruit colour-based classification and 87.62% for the geometric parameters only; however, it increased considerably to 93.41% when both the colour and geometry of dates were considered.

The effect of energy storage on the Residual Load Duration Curve (rLDC) of a system with high Renewable Energy contribution

This paper evaluates how energy storage acting in a system with a very high contribution from variable Renewable source can reduce peak loads. The methodology uses observed demand and renewable generation data to construct scenarios of increasing renewable contribution complemented by energy storage. The analysis is based on the concept of creating load duration curves for the period over which a set of storage technologies can act to reduce peak loads by storing energy during low loads. The models used here are developed on the premise that different types of storage are deployed for different purposes. For the scope of this work, three types were used. The first to manage loads within a day, the second acting over a period of a week, and the third at a much longer, seasonal scale

A layered compensation optimization strategy of energy storage type railway power conditioner

A layered compensation optimization strategy of energy storage type railway power conditioner

A coordinated planning model for power system source-network-load-storage considering multiple types of energy storage

Conventional power systems often neglect the amalgamation of planning and scheduling during their preparatory phases, and their methodologies of construction and operation may fall short of the requisites posed by a future characterized by a high proportion of renewable energy integration. In this paper, an integrated planning and scheduling methodology has been developed for the source-network-load-storage power system, factoring in a diverse array of energy storage modalities. Initially, cost models and operational models are formulated encompassing unit retrofitting, line expansion, demand response (DR), energy storage configuration and operation, and penalties related to solar curtailment. Subsequently, the optimization functions and operational constraints of each facet are harmonized, culminating in a comprehensive coordinated planning and scheduling framework for the ‘source-network-load-storage’ power system. The final phase involves simulation analysis conducted on an IEEE-30 nodes power system case. Results illustrate that the integrated ‘source-network-load-storage’ approach exhibits varied efficacies in exploiting system flexibility resources, contingent upon the distinctive capacity-power configurations of multiple types of energy storage. Prudent calibration of energy storage parameters demonstrates the potential to mitigate network underutilization and enhance overall system economics. This corroborates the viability of the proposed ‘integrated planning and scheduling’ model for the power systems.

Analysis of various types of new energy storage revenue models in China

In the current environment of China's vigorous development of energy storage, it is essential to carry out research on the benefits and economic evaluation of new energy storage. This paper establishes a framework for analyzing the revenue models of various types of energy storage under different scenarios. The framework complements the lack of previous studies on energy storage regulation under power generation systems such as wind power and coal power. In addition, a variety of scenarios were developed for the application of energy storage in the spot market, secondary service market, capacity market and user-side trading market. The results show that the case study energy storage plant has the highest revenue in the spot market, followed by the capacity market, and relatively low revenue in the secondary service market, while the leasing service can also bring a lot of revenue for the energy storage plant and thus become one of the more promising energy storage revenue models in the future.

Flexible electrochemical energy storage devices and related applications: recent progress and challenges.

Given the escalating demand for wearable electronics, there is an urgent need to explore cost-effective and environmentally friendly flexible energy storage devices with exceptional electrochemical properties. However, the existing types of flexible energy storage devices encounter challenges in effectively integrating mechanical and electrochemical performances. This review is intended to provide strategies for the design of components in flexible energy storage devices (electrode materials, gel electrolytes, and separators) with the aim of developing energy storage systems with excellent performance and deformability. Firstly, a concise overview is provided on the structural characteristics and properties of carbon-based materials and conductive polymer materials utilized in flexible energy storage devices. Secondly, the fabrication process and strategies for optimizing their structures are summarized. Subsequently, a comprehensive review is presented regarding the applications of carbon-based materials and conductive polymer materials in various fields of flexible energy storage, such as supercapacitors, lithium-ion batteries, and zinc-ion batteries. Finally, the challenges and future directions for next-generation flexible energy storage systems are proposed.

Measurement of Ammonia Leakage by TDLAS in Mid-Infrared Combined with an EMD-SG Filter Method

Ammonia (NH3) has been used as the main refrigerant in various types of cold storages, exceeding 90% of cooling applications. However, NH3 leakage occurs frequently due to damage of the refrigeration compressor, resulting in environmental pollution and intoxication accidents. Therefore, reliable and highly sensitive NH3 detection is a critical requirement in cold storage. In this paper, tunable diode laser absorption spectroscopy (TDLAS) is used to measure NH3 leakage, where a new denoising method combining empirical mode decomposition with the Savitzky-Golay smoothing algorithm (EMD-SG) is proposed to improve the signal-to-noise ratio (SNR) of absorbance signals. The results show that a 5.5 times improvement of SNR and 86% reduction of the linear fitting error in calibration is obtained; furthermore, this system achieves a detection limit of 0.2 ppm at an average time of 69 s by Allan variance analysis. Hence, it can be concluded that the EMD-SG algorithm can effectively improve the performance of TDLAS systems to meet the requirements for NH3 leakage detection in cold storages.

A Multi-Airspace Model to Investigate Airflow Patterns and Carbon Dioxide Emission Sources in Deep-pit Beef Cattle Finishing Facilities

HighlightsA multi-control volume mass balance approach tested with data from cattle finishing barns.Airflow estimates were highest in the barn airspace, compared to the animal-occupied zone and manure pit headspace.Slurry CO2 emission calculations were sensitive to gas concentration differences between zones and animal numbers.Abstract. An increasing number of cattle finishing barns in the Midwest are naturally ventilated (NV) with slatted floors over deep-pit manure storages. However, there is limited gas emission data currently available for this type of cattle housing and manure storage. Emission rate measurements are particularly challenging in NV barns where there are low gas concentrations and large variations in air velocity and direction. This research explores gas emission estimation using carbon dioxide (CO2) concentrations measured at the north and south wall openings, floor, nose level, and above the manure surface in the storage pit. With these measurements, three control volume mass balances for the barn airspace, animal-occupied zone (AOZ), and manure pit headspace were used to estimate airflows between control volumes and CO2 emissions rates. In this study, the estimated airflow and CO2 emission values for two NV barns were calculated for the summer, fall, and spring seasons. Nominal airflow rates calculated between the three control volumes for each barn were variable using three different solution approaches applied in this study. There was a general pattern where airflow through the barn airspace was larger than airflow between the barn airspace and animal-occupied zone, followed by airflow through the slatted floors. The range of estimated CO2 emissions considering both barns and three solution approaches was -1.16 g/s to 29.3 g/s. Overall, while calculated airflow and CO2 emission results were variable across three solution approaches, this study provides insight on a range of CO2 emissions and airflow rates through deep-pit NV cattle finishing facilities. Further model validation would be needed prior to the use of this model for gas mitigation purposes. Keywords: Airflow, Beef cattle, Carbon dioxide emission, Deep-pit barns, Modeling.

Impact of storage conditions on the instrumental colour of buckwheat products for meat industry applications

Buckwheat is one of the functional pseudocereals rich in antioxidants, nutrients, bioactive compounds, and phytochemicals. Colour represents one of the most important sensory parameters in the quality assessment of the meat products. The aim of this study was to determine the possible effect of 9-month artificial aging storage at 40 ? 2?C on the change in instrumental colour of buckwheat products used in the meat industry. In the CIE L*a*b* system, L*, a*, and b* coordinates are used to specify the data of instrumental colour properties. The results were statistically processed by two-way ANOVA (P<0.001) and Tukey?s Honestly Significant Difference post-hoc tests (P<0.05). Storage and product type (and their interaction) factors significantly influenced instrumental colour. During storage, significant differences were observed between the time points (0, 3, 6, and 9 months) in flour, with trends of decreasing lightness (L*) and increasing red (a*) and yellow (b*) colour intensity values. Regarding product type, significantly higher L* values were observed in flour, while a* values were higher in grains. Except for the 3rd month, b* values did not show significant differences. The insights gained in this study may indicate the further application of stored buckwheat flour and grains in obtaining technologically justified and colour-sensory acceptable meat end-products for consumers.

Research and Application of Legal Consultation database based on multimedia Network

In order to relieve the pressure of people's appeal for legal inquiry, the research and application of legal consultation database based on multimedia network is proposed. The legal consultation system designed in this essay, combined with the current situation of the legal industry, takes the Chinese question answering system as the prototype, combined with the open source data retrieval project Lucene.net, expands the data storage types. In this essay, the Chinese word segmentation system developed by Chinese Academy of Sciences is integrated into Lucene.Net platform to make up for its word segmentation deficiency. And the mutual information technology is used to make the legal related words with the same meaning be searched first. When extracting answers in Chinese question answering system, there are often "missing" and "wrong" answers. In this essay a method of sentence similarity calculation of questions and answers based on Latent Semantic analysis (LSA) is proposed, which uses spatial vector model as representation method and latent semantic analysis theory. A low-dimensional semantic space is constructed by using the dimension reduction method of singular value decomposition, and the sentence similarity between question and answer is computed on the semantic space. Experimental results show that most retrievals can be completed within 20 seconds, and the average unit retrieval time is kept at the millisecond level. Conclusion: This system has more accurate query accuracy and less running time.

Contribution of the triple hermetic bag in the preservation of locally processed cereal and legume products in Niger

Cereals and legumes constitute the staple foods in both urban and rural areas, and the main cereals and legume products in the Sahel region are millet, sorghum, maize, and cowpea. The small-scale processors of those products are facing storage and good packaging challenges. Triple hermetic bag technology is effective for the conservation of many stored grains against insect spoilage in Africa and around the world. This study aimed to examine the performance of the high-density polyethylene Purdue Improved Cowpea Storage (PICS) bags (HDPE, 80 microns thick) for the preservation of processed cereals (broken corn, millet pellet, and sorghum dagué) and legume (broken cowpea) products against insects of storage. In addition, the impact of this technology on the physical and functional parameters of the processed products (moisture content, pH, water-holding capacity, oil-holding capacity, and bulk density) after 6 months of storage was carried out. Rhizopertha dominica was revealed to be the damaging storage pest in the product of millet pellet and broken corn with the average number of live insects of 121.33 and 0.66, respectively, in experimentally designed bags. Significant differences (P < 0.01) and (P < 0.01) are found among the results of functional and physical properties tested on these processed products, using PICS bags versus other storage types of bags. The use of triple hermetic bag technology for storage of processed cereals and legume products has shown protection against damaging insects and preserved their physical and functional properties qualities.