Storage Problems Research Articles

STRUCTURE OF THE SYSTEM FOR MONITORING THE CONDITION OF NITROCELLULOSE POWDER DURING THEIR STORAGE PERIOD BETWEEN PRODUCTION AND DISPOSAL

The stability of powder charges based on nitrocellulose plays a decisive role in determining their service life. As the research analysis shows, in almost all countries of the world there is a problem of maintaining the properties of powder charges at the guarantee level. The properties of nitrocellulose powder charges are constantly changing, and a large part of them is in the post-warranty stage of storage. Changes in the properties of nitrocellulose powder charges can be such that they lead to man-made accidents and disasters, both when using them for their intended purpose and when they are stored in bases and warehouses. Thus, the task of assessing the state and forecasting the properties of nitrocellulose powder charges at the relevant stages of storage becomes relevant. This task is complex and can be solved using a well-known approach to solving such tasks, namely a monitoring system. In general, any monitoring system includes three main components: measurement of informative parameters; assessment of the current state based on the performed measurements; forecast. It is shown that the problem of storage and accumulation of a large amount of ammunition, namely powder charges, is characteristic not only for Ukraine, but also for such developed NATO countries as the USA, Germany, France, and the Czech Republic. There is evidence that in some countries a system of continuous monitoring of the state of ammunition has been introduced, but the research methods are imperfect and dangerous. To control the state of nitrocellulose powder charges, it is proposed to create a monitoring system. A structural diagram of the monitoring system is presented, which includes both already developed elements and those that require additional research and development. It is shown that for the effective operation of the monitoring system, informative indicators are necessary, which allow determining the state of powder charges without the use of complex diagnostic equipment. In addition, it will allow the creation of a database of powder charges for further monitoring of their condition throughout the entire life cycle. An approach to defining and substantiating new constituent elements of the oil refinery condition monitoring system has been developed.

О совершенствовании порядка хранения арестованного недвижимого имущества

Introduction. The problem of storage of seized property during pre-trial criminal proceedings not only persists, but is becoming more acute due to the increasing use of this type of criminal procedural coercive measure provided for by Article 115 of the Criminal Procedural Code of the Russian Federation. The new Rules on accounting and storage of objects and documents seized in the course of investigation but not recognised as material evidence in criminal cases until recognised as material evidence in criminal cases, adopted by the Government of the Russian Federation on 28 September 2023, do not solve this problem. Several options for solving this problem proposed by scholars are analysed. Methods. In order to solve this problem, we used dialectical, formal-logical methods, as well as the method of interpreting the legal norms of criminal procedure. Results. The article proposes and substantiates the authors’ approach to solving the problem. The essence of the proposal is that the responsible storage and operation of confiscated real estate objects should be carried out by enterprises on a contractual basis. The authors insist on the need for the Main Department of the Ministry of the Interior of Russia to conclude contracts with enterprises for the responsible storage and operation of seized real estate objects. These companies should be responsible for the storage and operation of real estate objects seized by court order until the verdict or other final decision on the criminal case is rendered.

INVESTIGATION OF THE EFFECT OF SEWAGE SLUDGE ASH ON THE MECHANICAL PROPERTIES OF MORTAR SPECIMENS

In recent years, the rising awareness of environmental protection and the rapid depletion of natural resources have increased the strategic importance of sustainable building materials, especially in the construction sector. Increasing construction trends lead to a noticeable increase in the use of materials. In this context, the environmental impacts of cement production come to the forefront with the amount of energy used in clinker production and the resulting CO2 emissions. Recycling of waste materials can solve the problem of waste storage and reuse of waste materials can form the basis of sustainable construction approaches to reduce energy consumption. This research focuses on the incineration of dewatered sewage sludge into ash and its usability as a building material. In this context, the incinerated sewage sludge ash was ground and used as an additive material at different ratios instead of cement to produce mortar specimens. Flexural and compressive strength tests were carried out to determine the mechanical properties of the sewage sludge ash admixed specimens by comparing them with mortar specimens produced with Class F fly ash on the 7th, 28th and 90th days.

Multi party confidential verifiable electronic voting scheme based on blockchain

The current electronic voting system ensures the confidentiality of the ballot but does not explicitly address the anonymity of the voter’s identity. The voting process is entirely managed by smart contracts, which diminishes the efficiency of contract execution and poses challenges for achieving large-scale voting. There is a lack of comprehensive explanation regarding the voting process and the verifiability of ballot information. This article introduces a multi-party secure verifiable electronic voting scheme based on blockchain technology. The solution uses IPFS distributed file system to alleviate the problem of limited block storage. The task allocation and vote counting processes are managed separately through management and computation contracts to improve efficiency. Ring signature technology is used to ensure the anonymity of voting identities. The vote counting process uses a key-sharing system to ensure the privacy of the votes, and the calculation results are encrypted and uploaded to the blockchain, making them verifiable. Finally, a security proof and performance analysis of the scheme were conducted.

Solving renewable energy’s sticky storage problem

Solving renewable energy’s sticky storage problem

Real-Time Environmental Contour Construction Using 3D LiDAR and Image Recognition with Object Removal

In recent years, due to the significant advancements in hardware sensors and software technologies, 3D environmental point cloud modeling has gradually been applied in the automation industry, autonomous vehicles, and construction engineering. With the high-precision measurements of 3D LiDAR, its point clouds can clearly reflect the geometric structure and features of the environment, thus enabling the creation of high-density 3D environmental point cloud models. However, due to the enormous quantity of high-density 3D point clouds, storing and processing these 3D data requires a considerable amount of memory and computing time. In light of this, this paper proposes a real-time 3D point cloud environmental contour modeling technique. The study uses the point cloud distribution from the 3D LiDAR body frame point cloud to establish structured edge features, thereby creating a 3D environmental contour point cloud map. Additionally, unstable objects such as vehicles will appear during the mapping process; these specific objects will be regarded as not part of the stable environmental model in this study. To address this issue, the study will further remove these objects from the 3D point cloud through image recognition and LiDAR heterogeneous matching, resulting in a higher quality 3D environmental contour point cloud map. This 3D environmental contour point cloud not only retains the recognizability of the environmental structure but also solves the problems of massive data storage and processing. Moreover, the method proposed in this study can achieve real-time realization without requiring the 3D point cloud to be organized in a structured order, making it applicable to unorganized 3D point cloud LiDAR sensors. Finally, the feasibility of the proposed method in practical applications is also verified through actual experimental data.

Machine Learning Clustering Algorithm for Water Environmental Monitoring

Machine learning based on genetic algorithms is an important application. The multi-dimensional ordered sample clustering problem is often solved using Fisher’s optimal segmentation method. However, this method has obvious shortcomings when encountering long sample problems due to its high storage requirements during the computation process. Therefore, Fisher’s optimal two-segmentation method is generally used in practical problems instead, which avoids storage problems. But it is prone to local optima. Based on the analysis of the shortcomings of the Fisher optimal segmentation and optimal two-segmentation algorithms, this paper proposes a genetic-based machine learning clustering algorithm, which overcomes the problem of Fisher’s optimal two-segmentation algorithm being prone to local optima and also solves the problem of high storage requirements during the computation process of Fisher’s optimal segmentation method. The application of this algorithm in the optimization system of water environment monitoring points shows that it is effective.

Mn-Zr promoted CaCO3 porous microspheres for enhanced performance in direct solar-driven calcium looping

The Calcium looping thermochemical reaction directly driven by solar energy effectively addresses the problem of efficient energy storage of concentrated solar power plants (CSP) by shortening the energy conversion path. But new requirements are put forward for energy storage materials, including high solar radiation absorption, high cycling stability and fast kinetics. To meet these challenges, we have designed porous microsphere structures for the purpose of enhancing mass transfer and the capture of solar radiation. Additionally, Zr and Mn oxides with elevated Tammann temperatures were incorporated to stabilize the morphology and prevent sintering. The synthesized porous microspheres retained abundant mesoporous channels on the surface even after undergoing 20 cycles. The addition of Mn oxide significantly enhances solar spectral absorptivity, achieving an impressive 82.88 % absorbance. The incorporation of Mn and Zr oxides increased the sintering resistance, specific surface area and porosity of CaO/CaCO3, especially in the 10–100 nm range, which accelerated the CO2 transport during carbonation. These enhancements significantly improve the chemical control stage of the carbonation reaction, as further supported by kinetic models. After 50 cycle experiments at 800 °C, the energy storage density of the sample remains at 1074 kJ/kg, which is 1.86 times that of the undoped CaCO3. This study provides a new way to design CaCO3 materials suitable for CSP applications.

A parallel compositional reservoir simulator for large-scale CO2 geological storage modeling and assessment

Storing CO2 in deep aquifers and depleted gas reservoirs is an effective way to achieve carbon neutrality. However, the numerical simulation of CO2 storage in these formations is challenging due to the complexity of gases-brine systems. The number of gas species included in the gases-brine fluid models of existing simulators cannot meet the rapidly evolving CO2 sequestration scenarios. To address this intricate issue, we developed a three-dimensional fully implicit parallel CO2 geological storage simulator (PRSI-CGCS) on distributed-memory computers based on our in-house parallel platform. This simulator uses a compositional fluid model with a diverse range of gas species, including CO2, C1 ~ C3, N2, H2S, as well as newly added gases H2 and O2, which may be encountered in geological CO2 storages. Besides, we provide more suitable scaling factors for different gases in the stability analysis bypassing (SAB) method to accelerate the gases-brine phase equilibrium calculations. PRSI-CGCS does not incorporate energy conservation equations, and salt precipitation or dissolution is also not considered. Numerical experiments show that our simulator is scalable, robust and validated to simulate large-scale CO2 storage problems with hundreds of millions of grid blocks on a parallel supercomputer cluster. Besides, after our modification on scaling factors, the SAB method can reduce the number of stability analyses by 61.39 % to 88.71 %, thereby reducing simulation time. Furthermore, case studies indicate that injecting O2 and H2 along with CO2 reduces the stability or capacity of CO2 storage and increases the pressure required for injection. However, this impact is not significant when the impurity content is less than 10 %.

Green Order Sorting Problem in Cold Storage Solved by Genetic Algorithm

This study investigates the efficiency of cold storage warehouses and contributes to sustainable supply chain management by integrating eco-friendly practices into storage operations. In facilities for milk and its derivatives, unregulated order handling significantly increases energy consumption due to frequent door openings in the cooler. To address this challenge, we developed a novel mathematical model aimed at optimizing order sequences and minimizing energy costs, addressing a previously unexplored gap in the literature. A genetic algorithm (GA) was employed to solve this model, with careful consideration of carbon emissions generated during the algorithm’s execution. We utilized the Yates notation, an experimental design technique, to systematically optimize the GA’s parameters, ensuring robust and statistically valid results. This methodology enabled a thorough analysis of the factors influencing energy consumption. The findings enhance energy efficiency in cold storage warehouses, leading to reduced carbon dioxide emissions and fostering sustainable practices within supply chain management. Ultimately, this study successfully integrates green practices into cold storage operations, supporting broader sustainability objectives.

Mechanical Characters of Geo-Polymer Concrete for Major Alteration of Cement by Fly Ash

Fly Ash (FA) production exceeded 250 million tons in India by the year 2020 and it would exceeds 450 million tons by the year 2025. This creates huge problems for storage of waste. And it requires hectors of lands to store. It is classified in Class – C and Class – F. Class – C has Pozzolanic properties and self-Cementitious rather to Class – F which attains the same properties by addition of activator. Alkali and Sulfate content in Class – C are higher. Use of Major volume fly ash in addition to lime and admixtures may be permitted to act as Pozzolanic Binder in ordinary concrete to form Geo-Polymer Concrete (GPC). Basically GPC, a Green Concrete (Eco-Friendly Concrete) also made in another way by adding FA, Rice Husk Ash (RHA), Steel Furnace Slag (SFS) and Alkali Activators (AA) following the same process as that of OPC. As the previous studies focuses on strength evaluation of Class – C. The prime objective of this study to examine the comparative characteristics of major alteration of Class – F with Low Calcium GPC subjected to the Tropical Environment with OPC. The findings are observed in the term of Consistencies and it varies from 31 % to 45 % for 0 % alteration of cement to 80 % and lowering and undefined value for 90 % alteration and 100 %. The consistency findings are also observed in progressive range of 32 % to 39 % for addition of Dry Lime from 0 % to 4.5 % (Table - 8) and undefined for 5 % addition. Later on it is observed for 10 % and 15 % addition which shows progressive results. Compression Character (Table - 10) and Flexural Character (Table - 11) is determined for various percentage alteration of PFA and it shows progressive results up to 80 % alteration and percentage difference of 69 % to 85 % for 90 % alteration.

A two-stage framework for site selection of deep-sea offshore wind-to-hydrogen projects based on GIS - MULTIMOORA method under Pythagorean triangular fuzzy environment

Constructing deep-sea offshore wind-to-hydrogen projects (DS-OWHP) is crucial to solve the problem of offshore electricity storage and consumption. Addressing the uncertainty of the decision-making environment, and the lack of a comprehensive indicator system, this paper proposes a two-stage decision framework based on Geographic Information System (GIS). In the first stage, GIS is used to analyze the suitability of study area and identify alternative sites. In the second stage, the fuzzy MCDM method is used to further optimize alternative sites. Firstly, a comprehensive evaluation indicator system is established, and the Pythagorean Triangular Fuzzy Number (PTFN) is used to describe evaluation information. Then, a combination of stepwise weight assessment ratio analysis (SWARA), entropy, and game theory is used to determine weights, and the Multi-Objective Optimization on the basis of a Ratio Analysis plus the Full Multipli-cative form (MULTIMOORA) method is used to rank alternative sites. Finally, the feasibility of framework is proved through a case study in Guangdong Province. The results show that average wind speed has the highest weight of 0.149, and alternative site A2 which is close to zhuahai is the optimal choice. Through sensitivity analysis and comparative analysis, the reliability and stability of proposed model is verified.

Исследование подходов к обустройству инфраструктуры для временного отстоя вагонов на железных дорогах России в различные исторические периоды

Purpose: to determine the relevance of the problem of temporary storage of cars on Russian railways in various historical periods. Consider methodological approaches aimed at eliminating this problem, as well as technical and technological measures. Assess how well the problem of temporary storage of wagons has been developed to date. Methods: when performing the study, the method of retrospective analysis was used. To conduct a retrospective analysis, scientific publications, regulatory documents, educational publications and other literary sources were used. Results: using the provisions of literary sources, the negative impact of excess or concentration of cars in certain places of the railway network on the normal operation of railway transport as a whole has been confirmed. It has been established that the most typical problem of temporary parking of cars is for stations of the railway network located in areas interacting with water transport. For various historical periods, the applied methodological approaches and measures were identified aimed at organizing the temporary parking of cars in order to increase the efficiency of railway transport. Practical importance: the completed study confirmed the relevance of the problem of organizing temporary storage of cars on Russian railways in various historical periods. It has been established that for the current stage of development of railway transport, the most rational solution is the arrangement of special stations for the temporary storage of cars.

Study of the Sodium Borohydride Hydrolysis Reaction's Performance via a Kaolin-Supported Co-Cr Bimetallic Catalyst

Hydrogen is an attractive source of energy because of its properties, which include superior quality, effectiveness, pureness, dependability, and sustainability. Technologies for producing and storing hydrogen are being developed in parallel with fuel cell development. Chemical storage of hydrogen in a metal hydride containing boron eliminates the problem of hydrogen transportation and storage. Through catalytic reactions, hydrogen stored in solid form in boron hydrides can be recovered. In this study, a nowel developed Co-Cr bimetallic catalyst supported by kaolin, a natural mineral, was synthesized to be used for hydrogen production by hydrolysis of sodium boron hydride. The structural characteristics of the produced Co-Cr@Kaolin catalyst were ascertained by EDX, FTIR, and SEM analyses. Next, the ideal conditions for the hydrolysis reaction of sodium borohydride (NaBH4) catalyzed by Co-Cr@Kaolin were examined. These included the concentration of the catalyst, the amount of support material (kaolin), the amount of catalyst, and the concentration of NaBH4. The optimal hydrolysis conditions were found to be 2.5% NaOH concentration, 40 mg of catalyst, and 2% NaBH4 concentration at 303 K. The maximum rate of hydrogen production was determined as 5007 ml g-1 min-1 under optimal conditions. After conducting hydrolysis operations at different temperatures to elucidate the reaction kinetics, it was found that the catalytic hydrolysis reaction was of the 0th order and that the reaction activation energy was 19.36 kJ mol-1. The hydrogen production rate obtained as a result of the hydrolysis reaction accompanied by a Co-Cr catalyst was determined as 3166 ml g-1 min-1. It is therefore established that supporting kaolin to Co-Cr catalyst enhances its efficacy.

Effect of Packaging Material on Infestation Level in Stored Groundnut Pods

Groundnut crop is an important crop for farmers of the Saurashtra region of Gujarat State in India. Generally, farmers cultivate groundnut crop in the Kharif season. Storage of groundnut pods is associated with the problem of bruchid during storage in jute bags. To address this storage problem with groundnut pods, current research was carried out comparing performance of different packaging materials with their traditional storage system in jute bags. Seven different types of bags were used as packaging materials. The experiment was carried out for the year 2016-17 and 2017-18. The storage period was December-July. Pool data for two years were considered for determination of the effect of packaging material on storage of groundnut pods with respect to moisture content, germination percentage, pod damage due to infestation, pest population, and aflatoxin. Groundnut stored in cloth bag showed maximum variation in moisture content during the storage period (6.40% to 8.35%), maximum pest population of pupa (6.82 pupa/200 gm sample) and adult of bruchid beetle (3.14 adult/200 gm sample), pod damage due to infestation on number basis (61.13%) as well as weight basis (63.46%) whereas minimum variation was found in moisture content during the storage period (6.74% to 6.90%), maximum pest population of pupa (2.44 pupa/200 gm sample) and adult of bruchid beetle (1.51 adult/200 gm sample), pod damage due to infestation on number basis (18.24%) as well as weight basis (18.76%) in triple layer hermetic storage bag i.e., Purdue Improved Crop Storage (PICS) bags followed by closely woven net bag. The minimum germination percentage (69.22%) was found in cloth bag and it was the maximum (78.18%) in triple layer hermetic storage bag. Aflatoxin in the pods stored in triple layer hermetic storage bags was under limit. Results of this study will be helpful to select storage bags for storing groundnut pods.

An Intelligent Mobile Search System

This article is devoted to the development of an intelligent mobile system used for humanitarian demining. At the same time, the problems of detection, localization and storage of the obtained data are solved. The system operation is based on the use of a synthetic aperture ground penetrating radar, which makes it possible to detect mines both on the earth's surface and underground. A quadcopter is used as a carrier. A set of technical means has been developed. The central and graphic processors are used as a processing unit. Intelligent elements for processing the obtained data are convolutional neural networks, for machine learning of which a synthetic dataset was used. The data is organized into S3 segments based on various parameters, such as date, location and sensor type. This organization facilitates data retrieval and management. Data is encrypted both during transmission and at rest using AWS Key Management Service to ensure confidentiality.

Deep reinforcement learning for solving car resequencing with selectivity banks in automotive assembly shops

In the automobile manufacturing process, the complexity of the production environment and the different objectives of the upstream and downstream shops necessitate the resequencing of the car sequences using buffers. This paper addresses a car resequencing problem in automotive assembly shops by utilising selectivity banks to reshuffle the given upstream sequences to minimise the number of violations of sequencing rules in the downstream sequence. A new resequencing approach combining heuristics and deep reinforcement learning is proposed to solve the problem. Heuristics solve the automobile storage problem, while a deep reinforcement learning method based on proximal policy optimisation addresses the automobile release problem. Three state matrices, agent actions, and the reward function are designed based on the characteristics of the objective and selectivity banks. Additionally, a novel network structure combining convolutional neural networks and long short-term memory networks is proposed to train the agent. The results demonstrate that the proposed method outperforms two efficient deep reinforcement learning algorithms and two heuristics and obtains better solutions in handling dynamic events.

Increasing Fertilization Efficiency of Biomass Ash by the Synergistically Acting Digestate and Extract from Water Plants Sequestering CO2 in Sorghum Crops.

The utilization of biomass ash in sustainable agriculture and increasing its fertilizing efficiency by biological agents, potentially sequestering CO2, have become important issues for the global economy. The aim of this paper was to investigate the effects of ash from sorghum (Sorghum bicolor L. Moench) and Jerusalem artichoke (Helianthus tuberosus L.) biomass, a biogas plant digestate, and a Spirodela polyrhiza extract, acting alone or synergistically, on soil fertility and the development, health and physiological properties of sorghum plants. The results show novel information concerning differences in the composition and impact of ash, depending on its origin, soil properties and sorghum plant development. Sorghum ash was more effective than that from Jerusalem artichoke. Ash used alone and preferably acting synergistically with the digestate and Spirodela polyrhiza extract greatly increased soil fertility and the growth, biomass yield and health of sorghum plants. These improvements were associated with an increased chlorophyll content in leaves, better gas exchange (photosynthesis, transpiration, stomatal conductance), greater enzyme activity (acid and alkaline phosphatase, RNase, and total dehydrogenase), and a higher biomass energy value. The developed treatments improved environmental conditions by replacing synthetic fertilizers, increasing the sequestration of CO2, solving the ash storage problem, reducing the need for pesticides, and enabling a closed circulation of nutrients between plant and soil, maintaining high soil fertility.

Research on origin-based cold storage location and routing optimization of fresh agricultural products based on hybrid whale algorithm

With the focus on the insufficient origin-based cold storage in China, this study investigates the location and routing problem (LRP) of origin-based cold storage for fresh agricultural products. This study considers the loss of fresh agricultural products in different environments during transportation and presents a cold storage LRP model. To address this issue, a hybrid whale algorithm with heuristic rules is designed, and the effectiveness of the algorithm is verified by standard instances. Finally, taking Chenggu County as a practical case, the influence of cold storage capacity and farmers’ demand for refrigeration are analysed. Experimental results show that the proposed algorithm has a good effect in solving medium-scale LRP. As the storage capacity increases, the total cost of the system can be increased by 0.086%. As farmers’ demand for refrigeration increases, the total cost of the system can be increased by 34.034%. Farmers’ demand has a greater impact on the system’s total costs than the cold storage capacity. When optimizing the cold storage layout, changes in fresh agricultural product output in the next few years can be roughly predicted, and the most economical optimization scheme can be obtained.

Efficiency of Battery Systems from the Point of View of Economic Return

Abstract Battery energy storage systems (BESS) are becoming increasingly important and their number of applications in energy systems is constantly increasing. Although batteries cannot solve the problem of electricity storage in the long term, BESS systems have proven to be suitable for short-term provision of flexibility within the day. Their real usability is shaped by the provision of balancing services to ensure a stable supply of electricity in distribution networks. BESS systems were able to respond to the dynamic development of the electricity market in recent years and achieve excellent results from the point of view of economic return. The aim of the contribution is to present the results achieved in selected cases of BESS use and to determine their economic return. The size of the battery (installed power and capacity) is designed to be able to work in individual modes and operating cases. A critical element for the design of the battery size is the technical conditions for the provision of balancing services. On the basis of market research, we determine the costs of acquiring and operating the battery, including the need for a software superstructure for controlling the battery itself and ensuring the necessary business functions. According to the defined criteria, we evaluate the technical operation of the battery located at the point of consumption (behind the meter) using the battery model in several operating cases. Subsequently, we analyse its sales based on the development of market prices and the conditions in which the battery is placed.