Storage Infrastructure Research Articles

New thematic relationships in the green recovery literature

AbstractThis short communication contributes to the current debate by exploring bibliometric data related to green recovery policies to discover the thematic linkages driving sustainable transitions and how these linkages can be navigated to encourage a successful and rapid green transformation. Our discussion illuminated three main trajectories of recent research that deviate from pre-COVID-19 themes and trends: managing natural resources at multiple levels, technology science for raw material scarcity resolution, and advancing low-carbon policies with data-driven models. This study provides a robust evidence-based framework for policymakers as they design green stimulus packages that can effectively facilitate and give long-term support to a green recovery. Specifically, the results affirm the necessity of devising novel stimulative regulations, investing in the modification or supplement of existing infrastructure (e.g. energy storage and grid infrastructure for reliable use of renewable energy sources) and building cities that are more resource-efficient and climate-resilient. Finally, the study also underscores the advances made in related European Union legislation and identifies potential challenges associated with the green transition.

PROTOCOL: The effects of agricultural output market access interventions on agricultural, socio-economic and food and nutrition security outcomes in low- and middle-income countries: A systematic review.

Development agencies and international donors' efforts are increasingly focusing on better integrating poor and remote farmers into agricultural markets to address the chronic issues of rural poverty and hunger in low- and middle-income countries. Using systematic methods for information retrieval, critical appraisal and evidence synthesis, this research aims to examine evidence on the effects of five focal types of agricultural market access interventions: (i) farm-to-market transport infrastructure interventions; (ii) output market information interventions; (iii) initiatives creating new marketplaces and alternative marketing opportunities; (iv) contract farming initiatives; (v) interventions improving storage infrastructure. In this review, we will study evidence of the magnitude and direction of intervention effects on agricultural, socio-economic, and food and nutrition security outcomes. We will examine evidence of the distribution of reported effects across different contexts, interventions and sub-groups of the population (e.g., according to sex, socio-economic status, farm size, etc.). We will also report on included studies' risk of bias and on what evidence is available on intervention costs, or their cost-effectiveness. This protocol outlines this review's planned methods and the criteria for selecting and including studies in its analysis.

The material implications and embodied emissions of clean power transition in Guangdong, China from 1978 to 2050

The national and regional carbon neutrality ambition necessitates clean power transition but also requires significant amount of generation, transmission, and storage infrastructure for renewables. Understanding the consequent material implications and embodied emissions of such energy infrastructure development with a system perspective at various geographical scales is thus important for maximizing emissions reduction and minimizing trade-offs among climate, resource, and waste targets. Previous research along this line, however, often focuses on individual subsystems (e.g., power generation) or individual technologies (e.g., wind energy) on a global or national scale. Here, we combined a dynamic material flow analysis model, life cycle assessment database, and scenario analysis to characterize stocks, flows, and embodied emissions of six bulk materials and thirteen critical materials associated with clean power transition from 1978 to 2050 in Guangdong province, China. We show that Guangdong's clean power transition leads to a total material stock increase from 2.9 Mt in 1980 to 45.6 Mt in 2018 and further to 95.7 Mt in 2050 under the basic renewable energy scenario (BES). The material stock in both generation and storage subsystems will grow over time, whereas that in the transmission subsystem will peak at approximately 2040 and then gradually decline. The massive expansion of wind and nuclear energy will result in a drastic rise in materials use, especially for cement and steel. A higher proportion of renewables increases energy infrastructure embodied emissions but reduces overall emissions. Future mitigation efforts and policy should not only address operational emissions through energy structure adjustment, but also curb the embodied emissions through infrastructure lifetime extension, material efficiency improvement, and material production decarbonization.

Experimental and numerical analyses of gravity-driven granular flows between vertical parallel plates for solar thermal energy storage and transport

Gravity-driven granular flows between vertical parallel plates were considered at elevated temperatures to examine flow behavior and inform solar thermal energy storage and transport infrastructure design and performance. A series of experiments was performed at inlet temperatures of 23, 200, 400, 600, and 800 °C in a high-temperature granular flow experimental rig and spatial and temporal velocity and surface temperature fields were measured. Granular flows were observed to change as a function of temperature. The interaction between the particles and the wall significantly increased with decreases in channel widths. Particle velocities at the outlet of the channel were compared with results from numerical model using the discrete element method. Temperature-dependent flow properties directly related to the assembly were measured and used for granular flow simulation. Flow behavior within the channel was investigated from the simulated results by obtaining particle volume fractions and particle velocities. Wall temperature and outlet granular flow temperature were monitored during the flow experiment and temporal heat loss in the flow was calculated. The granular flow behavior and heat transfer analysis from both the experiment work and simulation provide important mass transfer information for heat transfer modeling at elevated temperature.

Supporting dynamic allocation of heterogeneous storage resources on HPC systems

SummaryScaling up large‐scale scientific applications on supercomputing facilities is largely dependent on the ability to scale up efficiently data storage and retrieval. However, there is an ever‐widening gap between I/O and computing performance. To address this gap, an increasingly popular approach consists in introducing new intermediate storage tiers (node‐local storage, burst‐buffers,) between the compute nodes and the traditional global shared parallel file‐system. Unfortunately, without advanced techniques to allocate and size these resources, they remain underutilized. In this article, we investigate how heterogeneous storage resources can be allocated on an high‐performance computing platform, just like compute resources. To this purpose, we introduce StorAlloc, a simulator used as a testbed for assessing storage‐aware job scheduling algorithms and evaluating various storage infrastructures. We illustrate its usefulness by showing through a large series of experiments how this tool can be used to size a burst‐buffer partition on a top‐tier supercomputer by using the job history of a production year.

Uncovering I/O demands on HPC platforms: Peeking under the hood of Santos Dumont

High-Performance Computing (HPC) platforms are required to solve the most diverse large-scale scientific problems in various research areas, such as biology, chemistry, physics, and health sciences. Researchers use a multitude of scientific softwares, which have different requirements. These include input and output operations, which directly impact performance due to the existing difference in processing and data access speeds. Thus, supercomputers must efficiently handle mixed workload when storing data from the applications. Understanding the set of applications and their performance running in a supercomputer is paramount to understanding the storage system's usage, pinpointing possible bottlenecks, and guiding optimization techniques. This research proposes a methodology and visualization tool to evaluate a supercomputer's data storage infrastructure's performance, taking into account the diverse workload and demands of the system over a long period of operation. As a study case, we focus on the Santos Dumont supercomputer, identifying inefficient usage, problematic performance factors, and providing guidelines on how to tackle those issues.

Comparing alternative pathways for the future role of the gas grid in a low-carbon heating system

This paper uses a whole-system approach to examine different strategies related to the future role of the gas grid in a low-carbon heat system. A novel model of integrated gas, electricity and heat systems, HEGIT, is used to investigate four key sets of scenarios for the future of the gas grid using the UK as a case study: (a) complete electrification of heating; (b) conversion of the existing gas grid to deliver hydrogen; (c) a hybrid heat pump system; and (d) a greener gas grid. Our results indicate that although the infrastructure requirements, the fuel or resource mix, and the breakdown of costs vary significantly over the complete electrification to complete conversion of the gas grid to hydrogen spectrum, the total system transition cost is relatively similar. This reduces the significance of total system cost as a guiding factor in policy decisions on the future of the gas grid. Furthermore, we show that determining the roles of low-carbon gases and electrification for decarbonising heating is better guided by the trade-offs between short- and long-term energy security risks in the system, as well as trade-offs between consumer investment in fuel switching and infrastructure requirements for decarbonising heating. Our analysis of these trade-offs indicates that although electrification of heating using heat pumps is not the cheapest option to decarbonise heat, it has clear co-benefits as it reduces fuel security risks and dependency on carbon capture and storage infrastructure. Combining different strategies, such as grid integration of heat pumps with increased thermal storage capacity and installing hybrid heat pumps with gas boilers on the consumer side, are demonstrated to effectively moderate the infrastructure requirements, consumer costs and reliability risks of widespread electrification. Further reducing demand on the electricity grid can be accomplished by complementary options at the system level, such as partial carbon offsetting using negative emission technologies and partially converting the gas grid to hydrogen.

Decarbonization of the electricity generation sector and its effects on sustainability goals

The substitution of fossil fuels, especially coal, with renewable energy is a crucial step for the CO2 emissions reduction and the avoidance of Global Climate Change. The electric power generation industry is the first economic sector that will have to transition to renewable energy. However, wind and solar energy, the two most abundant renewable energy forms, are not dispatchable. The high penetration of these renewables in the energy market will create a demand–supply mismatch, which can only be alleviated with large-scale energy storage. This paper uses the case of Texas—a state that generates and consumes more electricity than several large, industrialized nations—to quantitatively examine the required infrastructure for the decarbonization of the electricity generation industry, while satisfying the current electric power demand in the State. Among the parameters that are examined are: the additional solar and wind capacity; the necessary energy storage infrastructure; the energy dissipation in the storage/regeneration process; and the effect of decarbonization on the cost of electricity and the welfare of the citizens. The computations show that the technology is available for the transition to a decarbonized electric power sector but requires significant investment in new wind and photovoltaic units as well as substantial energy storage. This would increase the electricity prices by a factor between 2.9 and 3.7 and, would have a disproportionate impact on the citizens in the lower income brackets.

Badania biomonitoringowe oraz kontrolne prace badawcze dla potrzeb podziemnego magazynowania gazu i obecnie eksploatowanych złóż gazu ziemnego

This paper refers to several aspects of research studies supporting the oil and gas industry – in particular underground gas storage (UGS) in depleted deposits and salt caverns – and focuses on questions related to the formation of hydrogen sulphide contamination in reservoir conditions as well as on methods for limiting unfavourable biogenic phenomena. The main problem found at gas storage facilities is the activity of sulphate reducing bacteria (SRB). The elimination or limitation of H2S generation in microbiologically contaminated environments have been the subject of many extensive studies. Biocides, biocorrosion inhibitors and H2S scavengers are widely applied to protect reservoir structure, gas storage infrastructure as well as water-based drilling fluids from the negative effects of bacterial activity. One of the most popular biocidal products, recommended for oil and gas industry are triazine derivatives, laboratory tested in the presented biomonitoring studies. Triazine products prove very effective in biomass reduction and elimination of anaerobic bacteria, especially SRB. Before any industrial operation (based on technology of using biocides), it was necessary to analyse the sulphur compounds in the stored natural gas in different exploitation gas wells of UGS. It was also necessary to investigate the selection of a specific biocidal product and its proper concentration. A concentration that is too low may even stimulate the microbial growth; since the substance is not toxic for microorganisms, they may start to metabolise it. Moreover, the wrong choice of biocides may even generate an economic loss or environmental hazard. Generally, the application of biocides, H2S scavengers and nitrate-based treatment are one of the most effective world strategies to decrease microbiological contamination, which affects various areas of the oil and gas industry. These products have also been successfully applied to control bacterial growth in Polish natural gas wells. The issue of the influence of microorganisms and biomass on the permeability of reservoir rocks was also presented. In addition, the paper refers to biodegradation processes, that take place in the environment of drilling fluids. Also, the issue of choice of biocide/H2S scavenger preparations for industrial applications is presented. The choice of chemicals includes efficiency tests of nanoparticles in contaminated media.

Economic appraisal and strategic analysis of the onion industry in the Philippines

This research undertakes a comprehensive evaluation of the economic dynamics within the onion industry, concentrating specifically on the prolific "Onion Basket of the Philippines" and its extension throughout Southeast Asia. Employing the value chain model as a methodological scaffold, the study meticulously dissects the intricate fabric of activities within this sector, aiming to pinpoint the exact operations that confer amplified value and competitive edge to this agricultural commodity. Through a meticulous selection process encompassing 360 agrarian participants, primarily sourced from the preeminent onion-producing municipalities of Nueva Ecija—namely, Bongabon, Gabaldon, and Laur—this investigation orchestrates an exhaustive scrutiny of the financial implications and returns. By comparing analyses across both traditional post-harvest marketing and the integration of cold storage infrastructure, the study unveils pronounced differentials. Evidently, the incorporation of cold storage resources precipitates substantial revenue escalation for farmers, in stark contrast to immediate post-harvest sales. However, the accompanying capital outlay affiliated with cold storage mandates judicious deliberation. Given the considerable financial connotations, this research underscores the imperativeness of establishing rigorous regulatory frameworks governing onion cold storage practices. Furthermore, acknowledging the intricate mesh of interests embedded within the onion value chain, it advocates heightened vigilance and stringent oversight concerning stakeholders. This multifaceted investigation, beyond contributing empirical authenticity, serves as a clarion call for prudent stewardship of this pivotal agricultural domain.

Complementary potential of wind-solar-hydro power in Chinese provinces: Based on a high temporal resolution multi-objective optimization model

In the context of carbon neutrality, renewable energy, especially wind power, solar PV and hydropower, will become the most important power sources in the future low-carbon power system. Since wind power and solar PV are specifically intermittent and space-heterogeneity, an assessment of renewable energy potential considering the variability of wind power and solar PV with high temporal resolution in different regions will facilitate more accurate identification of the decarbonization pathway of power system. In this paper, the complementary output potential of wind-solar-hydro power every 15 min in 31 Chinese provinces is evaluated by developing a multi-objective optimization model based on Nondominated Sorting Genetic Algorithm II. The results show that the total annual complementary power generation potential in China is 17.57 PWh, of which the three components account for 47.8%, 25.3% and 26.9%, respectively. Inner Mongolia and Tibet are the major renewable energy source provinces with annual complementary power generation potential of 5330 TWh and 3907 TWh, accounting for 30.3% and 13.7% of the total power generation potential, respectively. The temporal potential of wind-solar-hydro power varies greatly, with daily potential is more volatile than monthly. Seasonal and spatial heterogeneity of the complemental renewable potential makes some provinces suffer power shortage during long-hours period especially in winter. Our findings will encourage a higher penetration of renewable energy, the promotion of multi-energy complementarity, and the development of inter-provincial power transmission and energy storage infrastructure in China's future power sector.

A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions

Disaster management is a critical area that requires efficient methods and techniques to address various challenges. This comprehensive assessment offers an in-depth overview of disaster management systems, methods, obstacles, and potential future paths. Specifically, it focuses on flood control, a significant and recurrent category of natural disasters. The analysis begins by exploring various types of natural catastrophes, including earthquakes, wildfires, and floods. It then delves into the different domains that collectively contribute to effective flood management. These domains encompass cutting-edge technologies such as big data analysis and cloud computing, providing scalable and reliable infrastructure for data storage, processing, and analysis. The study investigates the potential of the Internet of Things and sensor networks to gather real-time data from flood-prone areas, enhancing situational awareness and enabling prompt actions. Model-driven engineering is examined for its utility in developing and modeling flood scenarios, aiding in preparation and response planning. This study includes the Google Earth engine (GEE) and examines previous studies involving GEE. Moreover, we discuss remote sensing; remote sensing is undoubtedly a valuable tool for disaster management, and offers geographical data in various situations. We explore the application of Geographical Information System (GIS) and Spatial Data Management for visualizing and analyzing spatial data and facilitating informed decision-making and resource allocation during floods. In the final section, the focus shifts to the utilization of machine learning and data analytics in flood management. These methodologies offer predictive models and data-driven insights, enhancing early warning systems, risk assessment, and mitigation strategies. Through this in-depth analysis, the significance of incorporating these spheres into flood control procedures is highlighted, with the aim of improving disaster management techniques and enhancing resilience in flood-prone regions. The paper addresses existing challenges and provides future research directions, ultimately striving for a clearer and more coherent representation of disaster management techniques.

Techno-economic assessment of H2 extraction from natural gas distribution grids: A novel simulation-based optimization framework for pressure swing adsorption processes

Green H2 plays an important role in the global energy transition. To improve its supply chain economics, the already existing gas grids can be an interim solution for its storage and transportation infrastructure. Injecting H2 into the gas networks seems straightforward from a process design standpoint. However, the extraction, at the other end of the supply chain, poses challenges, and its feasibility from the techno-economic viewpoint is crucial and can support the further development of such programs. This article presents a rigorous techno-economic and optimization model for this process developed in Aspen Adsorption V11 and MATLAB. This holistic model uses the cyclic steady-state approach of Aspen Adsorption V11, which avoids the redundant computations for achieving the steady-state performance in the dynamic simulation approach and allows for the development of a novel simulation-based optimization framework. The proposed optimization model can be used in other pressure swing adsorption applications to improve the rigorousness of the optimal solution and computational time. The results show that H2 extraction from a distribution grid with 30 mol% H2 and 70 mol% CH4 at 12 bar operating pressure costs $0.8064/kg-H2 and $0.9012/kg-H2 for product purities of 99.00 mol% and 99.97 mol%, respectively. Additionally, this study explores the impact of N2 and CO2 presence in natural gas on H2 separation costs. For natural gas containing CH4: CO2: N2 with a molar ratio of 95:2:3 mixed with 30 mol% H2, the separation cost of the 99.00 mol% pure H2 increases by 11.6% to $0.8998/kg-H2; however, based on the simulation, the purity of 99.97 mol% due to the presence of N2 is not technically achievable.

Optimal management of an energy-water-carbon nexus employing carbon capturing and storing technology via downside risk constraint approach

The development of infrastructures in a sustainable manner ensures the preservation of human life. It means that societies should have constant access to clean energy and water resources. The focus on nexus planning and operation including renewable energy sources has covered the requirements for the development of sustainable integrated systems to provide secure energy and water while minimizing carbon footprint. However, the uncertainty of renewable energy resources challenges the operation of such integrated nexuses. In this regard, this paper proposes a risk-constrained operation of a sustainable energy-water nexus with the aim to reduce operational costs as well as carbon dioxide (CO2) emissions amount (t CO2). To supply the energy and water demands, a combination of renewable energy sources and desalination systems are considered. The downside risk constraint is proposed to investigate the impacts of risks of uncertainties associated with renewable energy production and electricity consumption as well as water demands. Electrical and water storage infrastructures are involved to increase the flexibility of scheduling and ensure affordability and sustainability. The problem is modeled as a mixed-integer programming problem resulting in optimal decision-making to manage the energy/water resources and storage systems to provide clean and safe energy and water with the minimum CO2 emission. For the emission sector, the carbon capturing and storing (CCS) technology is proposed to capture the CO2 defusing by the energy sector and resolve the carbon-related issues. To restrict carbon production, both CO2 taxes and cap policies are examined and the results showed that the latter has a considerable effect to incentivize the decision-maker to use CCS technology.

Spatial Distribution of Service Stations and Access to Fuel in the Municipality of Bohicon in Benin

The mobility of people and things is a necessity in the life of populations. It generates various modes of movement. Also fuel consumption becomes an obligation for the proper functioning of the machines. The availability of fuel and its accessibility arises in the municipality of Bohicon . The objective of this research is to evaluate access to fuel, in particular gasoline from service stations in this municipality. The methodological approach used consisted in carrying out enough documentary research followed by various field work using different tools and materials such as survey questionnaires, interview guides, a notepad and a GPS. This is followed by the processing of the data collected and then the presentation of the results using Word, Excel and QGis; A total of 24 service stations and 10 points of sale in the municipality as well as to understand the behavior consumers. However, it is noted the unbalanced distribution of the various service stations and points of sale. Also it is noted that there are only 18% of consumers who get their gasoline at the service station against 82% who prefer adulterated gasoline for various reasons although they are aware of the quality of that of service stations. Hence the need to revise the policies of this sector and a proposal for a development plan for service stations for an upgrade of sector of Petroleum Products Storage and Distribution Infrastructures (ISDPP).

Status and prospects of renewable hydrogen use in Ukraine: impact on industry and decarbonization pathways

Ukraine has tremendous potential for renewable energy production. With sources such as solar and wind, coupled with a strong industrial sector (primarily in metallurgy and chemical industry), Ukraine is well positioned to play a significant role in large-scale production of green hydrogen. This is particularly relevant today with the global shift towards green hydrogen production.Currently, Ukraine’s hydrogen production stands at approximately 360,000 t/year, which is primarily used for ammonia production. While this only accounts for 0.5% of the total global demand, with technological advancement and investment, Ukraine could significantly increase its hydrogen production capacity.Central European directives, in particular the European Commission’s “Energy System Integration. Hydrogen” and the “Green Hydrogen for a European Green Deal: A 2х40 GW Initiative”, identify Ukraine as a strategic partner in the development of renewable hydrogen. These strategic documents envision the construction of up to 10 GW of electrolysis capacities in Ukraine by 2030, intended for renewable hydrogen production. About 1.8 GW of this capacity is for the domestic market, primarily for the production of green ammonia, a critical commodity for the agro-industrial complex.Implementing these initiatives could significantly reduce Ukraine’s energy dependence on imported fuels and significantly reduce harmful emissions, in line with international efforts towards sustainable development. This transition could play a pivotal role in the decarbonization of Ukraine’s economy and contribute to its national energy security. However, realizing this requires significant advancement in hydrogen production technology and infrastructure.This includes infrastructure for efficient storage and transportation of hydrogen. Furthermore, it requires government policy support, namely investment incentives, research and development subsidies, and assistance in the infrastructure development. Thus, the prospects for the evolution of hydrogen economy in Ukraine are indeed attractive. The production of green ammonia is an important step in this direction. Under favourable conditions, it is possible to produce hydrogen for consumption both domestically and for export to European Union countries.

Investigation of desorption of hydrogen gas from polymer matrix using thermal desorption analysis and finite element modeling

Polymer materials are used widely as sealing materials and liners in hydrogen storage and transportation infrastructure. During operating conditions, polymers are exposed to high pressure hydrogen gas periodically. When in contact, the hydrogen gas diffuses through the polymer material with ease due to its smaller sized molecules compared to the polymer molecules. In the event of rapid decompression of outside hydrogen gas, the hydrogen molecules within the polymer diffuse out. This process is known as the desorption of polymer and can cause blisters or cracking causing permanent damage to the polymer. Here, we used a combined experimental and modeling approach to investigate the desorption of the hydrogen gas in the polymer. Thermal desorption analysis (TDA) experiments were performed on the polymer sample exposed to the high-pressure hydrogen gas to measure the diffusion coefficient and equilibrium hydrogen concentration. Experiments also provided the quantity of hydrogen within the polymer during the desorption process which followed Fick’s law. However, for higher pressurization values, some anomaly was observed in the quantity of hydrogen remaining in the polymer sample. A continuum mechanics based coupled diffusion–deformation-damage model was deployed to simulate the gas desorption process in the material using the finite element method to understand its effect on the material. It was found that the anomaly in TDA results were due to the blister formation on the polymer surface which resulted in longer hydrogen retention. Simulations also showed that blister formation can be affected by multiple parameters such as the addition of filler particles, and pre-existing cavity size.

Smarter ways to capture carbon dioxide – exploring alternatives for small to medium-scale carbon capture in Kraft pulp mills

Carbon capture from the calcination process in Kraft pulp mills, also known as sulphate pulp mills, has potential as a part of carbon capture and storage (CCS) infrastructure deployment. Growing concern of climate change is increasing the interest for so-called negative emission technologies (NETs), and large emission points have great potential. However, among other factors, lack of financial incentives, trade-off with investments in existing products, and the necessity of large infrastructure that stretch across country borders, constrain deployment. This study investigates two concepts for carbon capture in combination with lime kilns in Kraft pulp mills: oxyfuel combustion and electric arc plasma calcination. The results from the modelling of six configurations show that carbon capture from the calcination process with these technologies can be made with comparatively low additional energy demand. Sulphate pulp production from Kraft pulp mills, which use lime kilns, is increasing in Europe and in the world. Therefore, there is large potential for capture of CO2 from these alternative calcination technologies, both as a first step towards and as a part of a large-scale deployment of CCS and bioenergy with CCS (BECCS).

Optimized Power Dispatch for Smart Building and Electric Vehicles with V2V, V2B and V2G Operations

The operation of smart buildings (with solar, storage and suitable power routing infrastructure) can be optimized with the addition of parking stations for electric vehicles (EVs) with vehicle-to-everything (V2X) operations including vehicle-to-vehicle (V2V), vehicle-to-building (V2B) and vehicle-to-grid (V2G) operations. In this paper, a multi-objective optimization framework is proposed for the smart charging and discharging of EVs along with the maximization of revenue and savings of smart building (prosumers with solar power, a battery storage system and a parking station) and non-primary/ordinary buildings (consumers of electricity without solar power, a battery storage system and parking station). A mixed-integer linear program is developed to maximize the profits of smart buildings that have bilateral contracts with non-primary buildings. The optimized charging and discharging (V2X) of EVs at affordable rates utilizing solar power and a battery storage system in the smart building helps to manage the EV load during on-peak hours and prevent utility congestion. The results indicate that in addition to the 4–9% daily electricity cost reductions for non-primary buildings, a smart building can achieve up to 60% of the daily profits. Further, EVs can save 50–69% in charging costs while performing V2X operations.

Enhancing privacy‐preserving mechanisms in Cloud storage: A novel conceptual framework

SummaryData privacy is critical for users who want to use Cloud storage services. There is a significant focus on Cloud service providers to address this need. However, in the evolving dynamic cyber‐space, privacy infractions are rising and pose threats to Cloud storage infrastructures. Several studies developed various models and techniques to ensure the privacy of Cloud storage contents. However, these models came with several shortages in the privacy‐preserving attributes they cover. Thus, this article identified a comprehensive set of Cloud data storage privacy‐preserving attributes to propose a flexible and efficient framework to handle the privacy problem. This framework uses a multi‐layer encryption storage structure and a one‐time password authentication technique. The findings of this article intend to help future communities to enhance existing techniques or develop new research‐based practical alternatives. Since Cloud computing is a rapidly growing technology, new privacy vulnerabilities emerge daily. Future research might confirm the findings of this article and test the suggested framework in different contexts.