Storage Management Research Articles

Simultaneous detection for storage condition and storage time of yellow peach under different storage conditions using hyperspectral imaging with multi-target characteristic selection and multi-task model

The detection for storage condition and storage time can ensure quality and safety of yellow peaches, and optimize storage management. This study explored the feasibility of simultaneously detecting the storage condition and storage time of yellow peach under different storage conditions using hyperspectral imaging technology combined with multi-target characteristic selection and multi-task model. Firstly, a total of 1080 hyperspectral images of 120 yellow peach samples under different storage conditions and different storage time were acquired using visible near-infrared hyperspectral imaging system. Subsequently, Savitzky-Golay first derivative was used to preprocess the raw spectra to improve the signal-to-noise ratio of the spectra. Distinguished index modified competitive adaptive reweighted sampling (DI-CARS) was proposed to select characteristic wavelengths that simultaneously characterize information of storage condition and storage time. Wild horse optimizer optimized support vector machine (WHO-SVM) was proposed for the multi-task modeling analysis. The results showed that multi-target characteristic selection and multi-task model not only reduced 66.67 % in computational cost, but also improved the accuracy, and multi-task WHO-SVM model based on multi-target DI-CARS achieved the optimal result with the overall accuracy reached 98.06 % and the number of characteristic wavelengths being 99. In conclusion, hyperspectral imaging combined with multi-target DI-CARS and multi-task WHO-SVM is feasible to simultaneously detect storage condition and storage time of yellow peach under different storage conditions.

The Design and Implementation of Blockchain Smart Contract in Hybrid Energy Storage Management of Photovoltaic System

As the main power supply mode of new energy, photovoltaic system has the characteristics of wide distribution and scattered energy collection Traditional management methods cannot realize the effective processing of distributed energy storage. Therefore, finding an effective intelligent method is the focus of current research, and the design of blockchain smart contracts can theoretically realize the centralized processing of photovoltaic energy storage systems. In this paper, the blockchain smart contract system is taken as the research object, and the energy storage management of the photovoltaic system is quantified through mapping, so as to realize the massive quantitative processing of data. Then, the reduction function is used to differentially reduce the distributed functional energy storage system, complete the centralized management of energy storage, and simplify the unnecessary data. Finally, combined with the hybrid energy storage situation, the key indicators in the data are mined, and the completion rate of the contract and the stability analysis of energy storage management are calculated. The results show that blockchain can mine the characteristics of hybrid energy storage, reduce the impact of distributed features on energy storage, improve the energy storage efficiency by 20%, and make the energy storage stability reach more than 90%. At the same time, the completion rate of smart energy storage contracts can be enhanced, the fitting degree can reach 90%, and the grid connection with the thermal grid can be effectively connected, the utilization rate of distributed energy resources will reach 85%, and the cost saving rate will be increased by 10%. Therefore, blockchain can solve the problem of hybrid energy storage in integrated systems, improve the completion rate of smart contracts, and promote the development of new energy.

Degnala in Water Buffaloes: A Review on a Neglected Disease.

Degnala is one of the primary mycotoxicoses affecting buffaloes, with Fusarium spp. as the main causative agent. This disease is strongly associated with the feeding of rice straw to buffaloes and is considered endemic to regions where rice is cultivated. Cases are concentrated in winter when conditions favor fungal growth in inadequately stored straw. Degnala is characterized by necrosis and gangrene of the extremities, including the tail, lower limbs, ears, tongue, muzzle, and teats. The pelvic limbs are more affected than the thoracic limbs. A tortuous appearance of the tail is very common, and cracks or corneal loss of the hooves may occur, exposing the blades and even the bones. There is no diagnostic method for identifying the disease in animals other than clinical and epidemiological criteria, combined with fungal culture samples. There is no treatment that neutralizes the effects of the toxins; the current treatment is palliative and supportive, consisting of pentasulfate solution, anti-Degnala liquid, 2% nitroglycerin ointment, and broad-spectrum antibiotics for secondary infections. Additionally, the management of drying and proper storage of straw is essential for controlling this disease.

Waste heat-driven water generator with optimized multi-cycle strategy for high water yield

Water scarcity and energy crisis have recently become two severe global problems. Low-grade waste heat, a substantial byproduct of energy consumption, promises to provide safe water by driving sorption-based atmospheric water harvesting (SAWH) device. Herein, a low-grade waste heat-driven atmospheric water generator (LWG) is constructed with rapid kinetics at the system level. Solely in 3 h, the device obtains 1.766 g g−1 of water productivity and up to 98 % of water recovery ratio driven by 120 °C of waste heat. Further, an optimized multi-cycle operation strategy is proposed to guide LWG's daily water harvesting, enabling it to predictably obtain over 15 kg m−2 day−1 water productivity by maximizing systemic sorption and desorption-condensation rates. The strategy not only is widely suitable for all SAWH devices, but also provides a universal optimization guideline for sorption-based dehumidification, thermal storage, and electric thermal management.

A high-efficiency poly-input boost DC–DC converter for energy storage and electric vehicle applications

This research paper introduces an avant-garde poly-input DC–DC converter (PIDC) meticulously engineered for cutting-edge energy storage and electric vehicle (EV) applications. The pioneering converter synergizes two primary power sources—solar energy and fuel cells—with an auxiliary backup source, an energy storage device battery (ESDB). The PIDC showcases a remarkable enhancement in conversion efficiency, achieving up to 96% compared to the conventional 85–90% efficiency of traditional converters. This substantial improvement is attained through an advanced control strategy, rigorously validated via MATLAB/Simulink simulations and real-time experimentation on a 100 W test bench model. Simulation results reveal that the PIDC sustains stable operation and superior efficiency across diverse load conditions, with a peak efficiency of 96% when the ESDB is disengaged and an efficiency spectrum of 91–95% during battery charging and discharging phases. Additionally, the integration of solar power curtails dependence on fuel cells by up to 40%, thereby augmenting overall system efficiency and sustainability. The PIDC’s adaptability and enhanced performance render it highly suitable for a wide array of applications, including poly-input DC–DC conversion, energy storage management, and EV power systems. This innovative paradigm in power conversion and management is poised to significantly elevate the efficiency and reliability of energy storage and utilization in contemporary electric vehicles and renewable energy infrastructures.

Driving Analysis and Multi Scenario Simulation of Ecosystem Carbon Storage Changes Based on the InVEST-PLUS Coupling Model: A Case Study of Jianli City in the Jianghan Plain of China

The carbon storage capacity of terrestrial ecosystems serves as a crucial metric for assessing ecosystem health and their resilience to climate change. By evaluating the effects of land use alterations on this storage, carbon management strategies can be improved, thereby promoting carbon reduction and sequestration. While county-level cities are pivotal to ecological conservation and high-quality development, they often face developmental challenges. Striking a balance between economic growth and meeting peak carbon emissions and carbon neutrality objectives is particularly challenging. Consequently, there is an urgent need to bolster research into carbon storage management. The study focuses on Jianli City, employing the InVEST model and land use data to examine the response patterns of land use changes and terrestrial system carbon storage from 2000 to 2020. Using the PLUS model, the study simulated the land use and carbon storage in Jianli City for the year 2035 under three scenarios: Natural Development scenario, Urban Expansion scenario, and Ecology and food security scenario. Our findings indicate the following: (1) Between 2000 and 2020, significant shifts in land use were observed in Jianli City. These changes predominantly manifested as the interchange between Cropland and Water areas and the enlargement of impervious surfaces, leading to a decrease of 691,790.27 Mg in carbon storage. (2) Under the proposed scenarios—Natural Development scenario, Urban Expansion scenario, and Ecology and food security scenario—the estimated carbon storage capacities in Jianli City were 39.95 Tg, 39.90 Tg, and 40.14 Tg, respectively. When compared with the 2020 data, all these estimates showed an increase. In essence, our study offers insights into optimizing land use structures from a carbon storage standpoint to ensure stability in Jianli’s carbon storage levels while mitigating the risks associated with carbon fixation. This has profound implications for the harmonious evolution of regional eco-economies.

Analyzing Tanker Ship Berthing Delays at Pertamina Refinery Unit II Dumai Terminal

This research investigates the causes and mitigation strategies for tanker ship berthing delays at the PERTAMINA Refinery Unit II Dumai special terminal. The study identifies key issues including dock capacity limitations, adverse weather conditions, insufficient land tank storage, and restrictions on night-time berthing. Data were collected through qualitative research and descriptive analysis involving observations, interviews, and documentation from August 2023 to August 2024. Findings reveal that limited dock capacity and adverse weather significantly contribute to delays, while storage limitations and night-time restrictions further exacerbate the problem. The research highlights the need for dock capacity expansion, improved weather forecasting, enhanced storage management, and safe night-time operational practices. Recommendations include infrastructure upgrades, advanced technological investments, and flexible operational strategies to address these challenges. The study provides valuable insights for improving terminal efficiency and offers a foundation for future research and practical applications in maritime logistics

Double-network aerogel-based eutectic composite phase change materials for efficient solar energy storage and building thermal management

Phase change materials (PCMs) have shown great promise in solar energy storage and thermal management of buildings. Nevertheless, the solid-liquid PCMs currently used in these applications face multiple challenges that need to be addressed, such as inadequate solar absorption capacity, leakage issues, and low phase change enthalpy. In this research, urea and sodium acetate trihydrate (SAT) were employed as the main PCMs, while disodium hydrogen phosphate dodecahydrate (DHPD) served as the nucleating agent. Additionally, we used polyvinyl alcohol/silica (PVA/SiO2) aerogel as a porous support structure. Carbon nanotubes (CNTs) were also introduced as photothermal conversion materials to fabricate a photothermal conversion-type double-network aerogel-based eutectic composite PCM (ECPCM). The prepared ECPCM exhibited excellent shape stability, high mechanical strength, and outstanding photothermal conversion performance. Moreover, the ECPCM demonstrated good flame retardancy, low supercooling, and the absence of phase separation issues. Furthermore, the ECPCM demonstrated efficient solar energy storage capacity and outstanding performance in building thermal management. This study offers a new perspective on the advancement of ECPCMs in solar energy storage and thermal management of buildings.

Study on green power supply modes for heavy load in remote areas

In this study, the present situation and characteristics of power supply in remote areas are summarized. By studying the cases of power supply projects in remote areas, the experience is analyzed and described, and the applicability of related technologies, such as grid-forming storage and power load management, is studied, including grid-connection technologies, such as grid-forming converters and power load management. On this basis, three power-supply modes were proposed. The application scenarios and advantages of the three modes were compared and analyzed. Based on the local development situation, the temporal sequences of the three schemes are described, and a case study was conducted. The study of the heavy-load power supply mode in remote areas contributes to solving the problem of heavy-load green power consumption in remote areas and promoting the further development of renewable energy.

A pore-scale study of fracture sealing through enzymatically-induced carbonate precipitation (EICP) method demonstrates its potential for CO2 storage management

Geological fractures are mechanical breaks in subsurface rock volumes that provide important subsurface flow pathways. However, the presence of fractures can cause unwanted challenges, such as gas leakage through fractured caprocks, which must be addressed. In this study, the dynamics of enzymatically induced carbonate precipitation in rock fractures and their subsequent influence on CO2 leakage were investigated from a pore-scale perspective for the first time. This was achieved through real-time monitoring of the injection of the solution into a rock-microfluidic flow cell using optical and scanning electron microscopy. It was revealed that the main growth dynamics occur during the first three injection cycles, with growth continuing until the fracture aperture is fully closed in the 6th cycle. Based on the flow simulation, a significant reduction of up to 25% in the CO2 conductivity of the original fracture is expected even after the first treatment cycle. Future studies are suggested to explore different resolutions, testing conditions, and to conduct 3-dimensional investigations of the growth dynamics.

Telehealth Support System Using Wireless Technologies: The Case of Ethiopia

The explosion of wireless technologies including wireless networks, large flat displays, sensors, personal digital assistants (PDA), smartphones, and embedded devices are playing a great role in the communication and service delivery of daily life. Nowadays it is possible to extend different applications such as providing voice calls, remote consultation, remote discussion, remote health service, access other applications, and so on wirelessly to anywhere in the world over short or long distances. In consideration of the various advantages of wireless technologies, in this work, the aim to explore the use of wireless technologies in the health domain for remote health domain. The main objective of this work is to design and implement a telehealth support system that helps improve the quality of the existing health system. The system allows health professionals to have adequate access to patients, to medical information, to give health-related services remotely, remote consultation, and remote education to patients/people anywhere and anytime. This telehealth support system is developed using a Java programming language with different editions for different purposes such as J2EE to develop both server-side and client-side applications of the system, JSP to design the web interface for the server-side application of the system, J2ME CLDC/MIDP platform which ships with J2ME wireless toolkit emulator to develop and demonstrate MIDlet applications on the target small computing device, and MySQL database for data storage management.

Development of a multidecadal land reanalysis over High Mountain Asia

Anthropogenic and climatic changes affect the water and energy cycles in High Mountain Asia (HMA), home to over two billion people and the largest reservoirs of freshwater outside the polar zone. Despite their significant importance for water management, consistent and reliable estimates of water storage and fluxes over the region are lacking because of the high uncertainties associated with the estimates of atmospheric conditions and human management. Here, we relied on multivariate data assimilation (MVDA) to provide estimates of energy and water storage and fluxes that reflect the processes occurring in the region such as greening and irrigation-driven groundwater depletion. We developed and employed an ensemble precipitation estimate by blending different precipitation products thereby reducing the uncertainties and inconsistencies associated with precipitation in HMA. Then, we assimilated five variables that capture the changes in hydrology in response to climate change and anthropogenic activities. Overall, our results have shown that MVDA has allowed a better representation of the land surface processes including greening and irrigation-driven groundwater depletion in HMA.

Challenges and Opportunities in Access to Essential Medicines in Rural Uganda

Access to essential medicines in rural Uganda is hindered by multifaceted challenges related to infrastructure, logistics, regulatory frameworks, and financial constraints. Poor road networks and inadequate transportation systems delay the delivery of medicines, while storage and supply chain management issues compromise medication quality and availability. Human resource shortages further impede distribution efforts, alongside financial limitations that affect procurement and sustainability. Regulatory reforms aimed at enhancing pharmacy practice have improved standards but pose implementation challenges. This review article employed a comprehensive literature review and analysis of existing research, policy documents, and case studies related to access to essential medicines in rural Uganda. Despite these obstacles, opportunities such as community-based interventions, technological innovations like mHealth, and public-private partnerships (PPPs) offer promising avenues to address these barriers. Strategic investments in infrastructure, regulatory compliance, and sustainable funding are crucial to improving access to essential medicines and healthcare outcomes in rural Uganda. Keywords: Essential Medicines Access, Rural Healthcare Challenges, Pharmacy Regulation Uganda, Medication Distribution Logistics, Public-Private Partnerships Healthcare

The effect of the interactions of water activity, and temperature on OTA, OTB, and OTα produced by Penicillium verrucosum in a mini silo of natural and inoculated wheat using CO2 production as fungal activity sentinel

Ochratoxin A (OTA) is a nephrotoxin that contaminates grains in storage. Moisture and temperature sensors give delayed responses due to their slow kinetic movement within the silo. This study examines if CO2 production could predict OTA contamination and identify storage conditions exceeding the maximum limit (5 μg/kg). The impact of water activity levels (0.70–0.90 aw), temperatures (15 and 20 °C), and storage duration on (a)Penicillium verrucosum population, (b)CO2 respiration rates (RR), and (c)ochratoxins concentrations in stored wheat was investigated. 96 samples were analysed for ochratoxins with LCMS-MS. RR was >7 times higher at wetter conditions than at drier aw levels. A positive correlation between CO2, OTA, OTB, and OTα was observed at the wettest conditions. OTA exceeded the limit at >0.80 aw (16% moisture content) with RR > 0.01 mg CO2 kg−1 h−1. The knowledge of the RR of stored grain would alert grain farmers/managers to improve grain storage management.

Development of the energy hub GEDERlab at Universitat Politècnica de València for encouraging the integration of renewable energy resources

Renewable energies stand out as fundamental solutions to address climate change, providing environmental benefits and promoting energy independence. However, renewable plants face challenges such as intermittency, initial costs, and visual effects on the surroundings. The GEDERlab is an innovative energy hub developed at the Universitat Politècnica de València (UPV) that integrates four renewable energies (solar, wind, biogas, and hydraulic) to tackle these challenges. The main objective is only to optimize complementarity among energies but also to develop strategies for efficient storage and optimal management. This project goes beyond research and it aims to become a replicable model at the municipal level. Therefore, the results are extrapolated to a rural municipality in the Valencian Community, to improve energy efficiency, promote circular economy principles and utilize waste as resources. So, in this paper, the components of the energy hub GEDERlab, their integration, and the control system are described to encourage the integration of renewable energy resources.

Effect of Plant Based Pesticides in Grain Storage Management

The utilization of plant-based pesticides in grain storage management presents a promising avenue for sustainable pest control. This review paper examines the efficacy, mechanisms of action, and challenges associated with the adoption of botanical alternatives in grain storage facilities. Highlighted are the diverse phytochemical compositions of plant-based pesticides, their low toxicity to non-target organisms, and their compatibility with integrated pest management strategies. Despite their potential benefits, obstacles such as formulation complexities, limited chemical data, and regulatory hurdles hinder their widespread use. Addressing these challenges through collaborative research efforts and regulatory support is crucial to realizing the full potential of plant-based pesticides in grain storage management. By integrating these natural solutions into storage practices, we can promote food security while mitigating environmental and health risks associated with synthetic pesticides.

Organization Efficiency Enhancement by DNA Technologies

This research investigates the augmentation of organizational efficiency through the integration of DNA technologies. By leveraging advancements in biotechnology, this study explores novel approaches to enhance processes related to data storage, computation, and information management within organizational frameworks. The utilization of DNA as a storage medium and computational substrate presents opportunities to address scalability challenges and improve overall efficiency. Through case studies and experimental validations, we elucidate the potential impact of DNA technologies on organizational workflows, offering insights into the transformative possibilities for information processing and storage in the evolving landscape of enterprises. Here we evaluate DNA traits by various DNA technologies and create/modify whole space of organizational premises such as office exterior and interior and structures such in such way to accelerate productivity & functioning of overall organisation processes.

A review of control strategies for optimized microgrid operations

AbstractMicrogrids (MGs) have emerged as a promising solution for providing reliable and sustainable electricity, particularly in underserved communities and remote areas. Integrating diverse renewable energy sources into the grid has further emphasized the need for effective management and sophisticated control strategies. This review explores the crucial role of control strategies in optimizing MG operations and ensuring efficient utilization of distributed energy resources, storage systems, networks, and loads. To maximize energy source utilization and overall system performance, various control strategies are implemented, including demand response, energy storage management, data management, and generation‐load management. Employing artificial intelligence (AI) and optimization techniques further enhances these strategies, leading to improved energy management and performance in MGs. The review delves into the control strategies and their architectures, and highlights the significant contributions of AI and emerging technologies in advancing MG energy management.

Agriculture and Crop Management in the Ninevite V Culture.

Ninevit V culture is the culture that spread across most of the land of (southern, northern and western of present-day Kurdistan) in the early 3rd millennium BC. and lasted for 500 years. Despite some environmental challenges such as low rainfall, agriculture and administration of its products، the two most important economic sources of Ninevit V community at that time. This article which is part of a doctoral dissertation on Ninevite V culture، seeks to identify these two important aspects of society's life. It divided into two parts، the first being the cultivation and how Ninevite V community was trying to increase their agricultural output. The second part: focuses on the management of agriculture and grain storages. It's about how to build silos and store crops.

Eco‐friendly approach to thermal energy storage: Assessing the thermal and chemical properties of coconut biochar‐enhanced phase change material

AbstractPhase change materials (PCMs) can absorb, store, and release substantial latent heat within a specific temperature range during phase transition and have gained huge attention due to environmental concerns and energy crises. However, PCMs have a significant downside in energy storage due to their relatively lower thermal conductivity, leading to inadequate heat transfer (HT) performance. The foremost aim of the research is to synthesize an eco‐friendly coconut shell biochar (CSB) dispersed with organic A46 PCM in the temperature range of 44°C to 46°C to form a green nanocomposite. A two‐step approach is adopted to formulate the nanocomposites with different weight concentrations (0.2% and 0.8%) of green CSB particles. The developed nanocomposite's thermal conductivity and chemical stability were examined using a thermal properties analyzer and a Fourier transforms infrared spectrometer. The developed biochar composites have excellent thermal conductivity (0.39 W/m K) compared with base PCM (0.22 W/m K). Also, the developed nanocomposites were physically mixed together; there were no additional functional groups formed compared to pristine PCM, and the prepared materials were composite. Furthermore, a numerical analysis was performed using two‐dimensional energy modeling software to ascertain the HT rate of A46 composites. These thermally energized green nanocomposites show great promise for thermal energy storage and thermal management applications like battery thermal management, photovoltaic thermal systems, desalination systems, electronic cooling, building applications, and textiles.