Industrial Operations Research Articles

Passive Islanding Detection of Inverter-Based Resources in a Noisy Environment

Islanding occurs when a load is energized solely by local generators and can result in frequency and voltage instability, changes in current, and poor power quality. Poor power quality can interrupt industrial operations, damage sensitive electrical equipment, and induce outages upon the resynchronization of the island with the grid. This study proposes an islanding detection method employing a Duffing oscillator to analyze voltage fluctuations at the point of common coupling (PCC) under a high-noise environment. Unlike existing methods, which overlook the noise effect, this paper mitigates noise impact on islanding detection. Power system noise in PCC measurements arises from switching transients, harmonics, grounding issues, voltage sags and swells, electromagnetic interference, and power quality issues that affect islanding detection. Transient events like lightning-induced traveling waves to the PCC can also introduce noise levels exceeding the voltage amplitude by more than seven times, thus disturbing conventional detection techniques. The noise interferes with measurements and increases the nondetection zone (NDZ), causing failed or delayed islanding detection. The Duffing oscillator nonlinear dynamics enable detection capabilities at a high noise level. The proposed method is designed to detect the PCC voltage fluctuations based on the IEEE standard 1547 through the Duffing oscillator. For the voltages beyond the threshold, the Duffing oscillator phase trajectory changes from periodic to chaotic mode and sends an islanded operation command to the inverter. The proposed islanding detection method distinguishes switching transients and faults from an islanded operation. Experimental validation of the method is conducted using a 3.6 kW PV setup.

Research on Comprehensive Management Optimization of OTC Derivatives Business in Financial Institutions

OTC derivatives, as a foreign product, have experienced a development process from scratch, from existence to growth after entering the domestic capital market. With the development of mixed operation of domestic financial industry, the development speed of derivative products business has shown a trend of collapse in recent ten years. This paper will discuss how to improve the overall management and performance management of OTC derivatives business, promote the stable development of OTC derivatives business, improve the management ability and level of financial institutions derivatives business, and help financial institutions achieve sustainable operation and stable development.

Mitigating the Adverse Effects of Night Shifts: A Review of Strategies for Enhancing Health Outcomes in Shift Workers

Introduction and PurposeShift work, essential for continuous operation in industries like healthcare, transportation, and security, disrupts circadian rhythms and adversely affects health. This review consolidates findings on the multifaceted impacts of night shift work, emphasizing interventions to mitigate these effects and improve worker health and well-being. Brief Description of the State of KnowledgeNight shift work disrupts circadian rhythms, leading to cognitive decline, sleep disorders, mental health risks, cardiovascular issues, metabolic disturbances, and cancer susceptibility. Effective interventions include limiting shift lengths and frequency, incorporating rest breaks and napping, aligning meal times with circadian rhythms, using melatonin supplementation and light therapy to improve sleep quality, engaging in regular aerobic exercise, and employing stress management techniques. Summary Implementing proposed interventions can mitigate the adverse health effects of night shift work, enhancing worker well-being, efficiency, and job satisfaction. Tailoring strategies to different age groups optimizes effectiveness, with structured approaches beneficial for older workers and flexible options suitable for younger workers. Further research should explore long-term intervention effects and develop personalized strategies for diverse populations. This review provides comprehensive guidelines for managing the health impacts of night shift work, supporting improved patient safety, reduced accidents, and enhanced work performance across various industries.

Advancing Hydrogen Gas Utilization in Industrial Boilers: Impacts on Critical Boiler Components, Mitigation Measures, and Future Perspectives

This review sets out to investigate the detrimental impacts of hydrogen gas (H2) on critical boiler components and provide appropriate state-of-the-art mitigation measures and future research directions to advance its use in industrial boiler operations. Specifically, the study focused on hydrogen embrittlement (HE) and high-temperature hydrogen attack (HTHA) and their effects on boiler components. The study provided a fundamental understanding of the evolution of these damage mechanisms in materials and their potential impact on critical boiler components in different operational contexts. Subsequently, the review highlighted general and specific mitigation measures, hydrogen-compatible materials (such as single-crystal PWA 1480E, Inconel 625, and Hastelloy X), and hydrogen barrier coatings (such as TiAlN) for mitigating potential hydrogen-induced damages in critical boiler components. This study also identified strategic material selection approaches and advanced approaches based on computational modeling (such as phase-field modeling) and data-driven machine learning models that could be leveraged to mitigate potential equipment failures due to HE and HTHA under elevated H2 conditions. Finally, future research directions were outlined to facilitate future implementation of mitigation measures, material selection studies, and advanced approaches to promote the extensive and sustainable use of H2 in industrial boiler operations.

Release of ATP in the lung evoked by inhalation of irritant gases in rats.

Adenosine triphosphate (ATP) can be released into the extracellular milieu from various types of cells in response to a wide range of physical or chemical stresses. In the respiratory tract, extracellular ATP is recognized as an important signal molecule and trigger of airway inflammation. Chlorine (Cl2), sulfur dioxide (SO2), and ammonia (NH3) are potent irritant gases and common industrial air pollutants due to their widespread uses as chemical agents. This study was carried out to determine if acute inhalation challenges of these irritant gases, at the concentration and duration simulating the accidental exposures to these chemical gases in industrial operations, triggered the release of ATP in the rat respiratory tract; and if so, whether the level of ATP in bronchoalveolar lavage fluid (BALF) evoked by inhalation challenge of a given irritant gas was elevated by chronic allergic airway inflammation. Our results showed: 1) inhalation of these irritant gases caused significant increases in the ATP level in BALF, and the magnitude of evoked ATP release was in the order of Cl2 > SO2 > NH3. 2) Chronic airway inflammation induced by ovalbumin-sensitization markedly elevated the ATP level in BALF during baseline (breathing room air) but did not potentiate the release of ATP in the lung triggered by inhalation challenges of these irritant gases. These findings suggested a possible involvement of the ATP release in the lung in the regulation of overall airway responses to acute inhalation of irritant gases and the pathogenesis of chronic allergic airway inflammation.NEW & NOTEWORTHY Extracellular adenosine triphosphate (ATP) is a contributing factor and signaling molecule of airway inflammation. This study demonstrated for the first time that the ATP release in the lung was markedly elevated after acute inhalation challenges of three common industrial air pollutants; the order of the response magnitude was chlorine > sulfur dioxide > ammonia. These findings provided new information and improved our understanding of the adverse pulmonary effects caused by accidental inhalation exposures to these irritant gases.

Adapting to Change: The Impact of Climatic Shifts on Tourism Destinations and Tourist Mobility in Northern Pakistan

Pakistan aims to showcase its authenticity, pristine nature, and unique cultural heritage from its northern valleys. Mountain tourism in Pakistan is popular during the summer, with tourists enjoying pleasant weather and scenic landscapes. The northern valleys of KP, GB, and AJK are favored destinations, as visitors generally have positive impressions of their interactions with the mountains and local people. Pakistan, an agricultural country, has tourism as a growing sector with significant economic potential. However, both agriculture and tourism are heavily affected by climate change. However, in the past decade, climate change has led to increased natural hazards such as floods, rockfalls, debris flows, rockslides, and avalanches specifically in northern areas of Pakistan. These events frequently cause road blockages and trap tourists, especially during the monsoon season. Such extreme conditions not only endanger local communities but also disrupt transportation infrastructure and damage tourist facilities. The resulting communication network disruptions and road blockages increase tourists' anxiety and fear, leading to unpleasant experiences. This study examines how climate change affects tourist mobility and hinders the tourism industry. It explores how increasing natural hazards, such as floods and landslides, disrupt travel, damage infrastructure, and create safety concerns, ultimately impacting tourist experiences and industry operations.

Using continuous online monitoring measurements to determine the Serayu River’s water quality status

Abstract The Serayu River is a national strategic river that provides essential water to local water companies, industrial operations, agriculture, and household irrigation in the surrounding community. The Serayu River’s condition is currently deteriorating due to erosion and pollution. The primary goal of this investigation is to quantify the Serayu River’s water pollution. Data from continuous online monitoring stations at Wanganaji Dam (upstream) and Gerak Serayu Dam (downstream) will be used to assess temperature, DO, pH, TDS, DHL), turbidity, and ammonia levels. The research methodology for this study included descriptive statistical analysis and the STORET method, which is based on the regulatory framework established in the Republic of Indonesia by Ministerial Decree Number 115 of 2003 and Government Regulation Number 22 of 2021. The results show that the water quality upstream of the Serayu River (Wanganaji Dam Station) partially meets most of the measured parameters while still meeting the required quality standards. Meanwhile, the water quality in the downstream part of the Serayu River (Gerak Serayu Dam Station) has DO values (3.68-4.98 mg/L), turbidity (36.78-95.48 mg/L) that exceed the required quality standards. The water quality at the Serayu River’s two dams ranges from moderate to heavily polluted.

Evaluation of cardiovascular disease in diabetic patients using machine learning techniques

Machine learning (ML) improves operations in many industries, including medicine. It affects the prognosis of several disorders, including heart disease. If predicted, it may provide doctors with new insights and allow them to treat each patient individually. If anticipated, it may provide medical practitioners with valuable information. Our team uses machine learning algorithms to study heart disease risk. This research will compare decision trees, AdaBoost, support vector machines, artificial neural networks (ANN), and customized ANN. The study will include this analysis. The given model will leverage the dataset of general information and medical test results. Our model uses particle swarm optimization (PSO) and k-nearest neighbors (KNN). Algorithm for feature selection. The model reduces dimensionality using evolutionary algorithms and neural networks. We compared the numerous assessment criteria to the current models, our model, and earlier models. Because of this, the suggested model's suitability was rated with the highest accuracy.

Towards accurate dose assessment for emergency industrial radiography source retrieval operations: A preliminary study of 4D Monte Carlo dose calculations

The exposure devices utilizing high-activity gamma radiation sources for industrial radiography frequently encounter issues such as stuck or disconnected sources, posing a substantial risk of radiation exposure to the workers executing emergency source retrieval operations, emphasizing the importance of accurate dose assessment. In the present study, the radiation dose to the main worker during the process of source retrieval was calculated and compared for five emergency source retrieval procedures to retrieve stuck or disconnected sources, using 4D Monte Carlo dose calculation and a mesh-type reference computational phantom. For a stuck source, the dose values of the two source retrieval procedures (i.e., repair and cut methods) were found to be relatively small, which indicates that the worker might select either method based on personal preference or situational convenience. Conversely, for a disconnected source, the dose values of the three source retrieval procedures (i.e., fishing, connect/push, and hot stick methods) were much larger and show significant differences. Notably, the fishing method was associated with the lowest dose, whereas the hot stick method resulted in significantly higher doses, differences being as large as ∼5 times. These results underscore the fishing method as a preferable option, particularly over the hot stick method.

Technology Focus: Oilfield Chemistry (September 2024)

In an era marked by a growing emphasis on sustainability, industries are increasingly adopting innovative technologies to address resource-management challenges and environmental impacts. Three notable advancements in this field are the extraction of lithium from produced water, the use of rhamnolipids as biosurfactants, and the application of graphene nanoplatelets (GNPs) as scale inhibitors. Each of these technologies offers a unique approach to improving efficiency and reducing environmental footprint. Lithium, a critical component in lithium-ion batteries used for electric vehicles and renewable energy storage, has seen a surge in demand. Traditionally, lithium is extracted through energy-intensive methods such as mining hard rock deposits or evaporating brines from salt flats. A novel approach, however, involves extracting lithium from produced water, a byproduct of oil and gas extraction. Produced water, once considered waste, contains dissolved minerals, including lithium. This method involves treating the water to remove contaminants, and chemical processes such as adsorption or ion exchange to concentrate and isolate lithium ions. By repurposing produced water, this approach not only reduces the environmental impact of oil and gas operations but also provides a valuable domestic source of lithium, enhancing energy security, generating additional revenue streams, and reducing reliance on imports. Rhamnolipids—a class of biosurfactants produced by bacteria such as Pseudomonas aeruginosa—are gaining recognition for their eco-friendly and versatile applications. Rhamnolipids are glycolipid compounds consisting of rhamnose sugar rings linked to fatty acid chains, and they exhibit exceptional emulsifying and surface-tension-reducing properties. Their biodegradability and reduced toxicity compared with synthetic surfactants make them suitable for various applications. In environmental bioremediation, rhamnolipids enhance the breakdown of hydrophobic pollutants in contaminated soils and water bodies, such as hydrocarbons. This capability is particularly valuable in addressing oil spills and other environmental disasters. Additionally, rhamnolipids are increasingly used in personal-care products because of their gentle cleansing properties and potential to enhance the absorption of active ingredients. As the demand for sustainable and eco-friendly alternatives rises, rhamnolipids represent a promising shift toward sustainable industrial practices. In the oil and gas industry, the problem of scaling—where mineral layers deposit on surfaces, hindering fluid flow and causing equipment damage—has led to the exploration of GNPs as a solution. GNPs are distinguished by their high surface area, chemical stability, mechanical strength, and dispersibility. They act as nucleation sites that alter the crystal growth of scaling minerals, preventing the formation of hard, adherent layers. Additionally, GNPs can adsorb scaling ions, reducing their concentration in the fluid and decreasing scale formation. In squeeze treatments, where scale inhibitors are injected into reservoirs, GNPs can adsorb onto rock surfaces and release slowly over time, offering long-term protection. Their robustness under high temperatures and pressures makes them particularly effective for such applications. While further research is needed to optimize their use fully, GNPs offer significant potential to improve the efficiency and longevity of industrial operations. By repurposing waste, using eco-friendly compounds, and enhancing operational efficiency, these technologies contribute to a more-sustainable and resource-efficient future. As industries navigate the complexities of environmental and economic challenges, integrating such innovations will be crucial in achieving global sustainability goals and fostering a balanced approach to resource management. Recommended additional reading at OnePetro: www.onepetro.org. OTC 32809 Impacts of Water-in-Oil Emulsion and Stage Equilibrium for Produced Water Analysis With Benchtop XRF by V.C.C. Gallo, Petrobras, et al. SPE 218053 Critical Elements Extraction From Flowback and Produced Water: From Lab to Field by A. Ghanizadeh, University of Calgary, et al.

Анализ изменения стойкости бетонных конструкций в промышленности при химическом воздействии с учетом потенциальных рисков для работников и окружающей среды

The requirements for industrial facilities’ resistance to external impacts and reliability are higher when compared with other facilities. The most common construction material, inter alia, in various industrial sectors is concrete due to its easy production and use, relatively low cost, and wide application. The environmental cleanliness is traditionally considered one of the advantages of concrete. All lifecycle stages of concrete, however, from the production process until the end of the service life of ready-to-use objects, imply serious environmental risks. Therefore, already at the design stage of (ferro)concrete structures, it is necessary to consider, in addition to the functions of the future object, the external impacts it will be exposed to. Concrete properties are not constant and change from the moment of mixing, during the transportation, and until its complete hardening. Apart from the composition and compliance with standards, many factors affect the properties. One of the main factors is an aggressive environment, whose impact can not only damage but completely disable building structures. The design service life of structures must exceed the operation lifecycle or comply with it. Concrete is considered durable if, during the design service life, it withstands loads and negative impacts of external factors and remains undamaged, taking into account industrial operation and timely maintenance. Already at the beginning of design jobs, the duration of the design service life must be estimated correctly. Both under- and overestimation of the design service life of ferroconcrete structures reduce safety and reliability and cause an unjustified rise in production and operating costs. The authors of the study analyze problems that may arise at the plants of the chemical industry in case of destruction of concrete under the impact of the aggressive liquid medium by conducting a practical study in conditions as realistic as possible. Within the framework of accelerated study, the authors examined the changes in concrete strength by control samples under pressure impacted by hydrochloric acid and sodium hydroxide. Test trials have clearly demonstrated the importance of the correct definition of concrete class in accordance with the medium of application. This must be considered during the practical work of employees of disaster protection agencies at industrial facilities with tanks to collect and store aggressive liquids, including firewater.

Quadruple Helix Approach to Boost Fashion Industry Innovation

Currently, the fashion industry continues to grow and increase, but there is a problem gap in the form of declining demand for orders and stagnant fashion products, which has an impact on 3,000 textile factory workers in Sukoharjo Regency who have been laid off. The problem gap needs to be resolved through the collaborative roles of the sectors in the quadruple helix consisting of the fashion industry, universities, government, and civil society. Therefore, the research question is how does the fashion industry build innovation through the support of sectors in the quadruple helix? The purpose of this study is to identify the role of the quadruple helix in encouraging the fashion industry to create innovations that have an impact on employment. The research method used was a qualitative study with the informants being the Industry Office as the government sector, two fashion MSMEs as industry sector representatives, one university in Indonesia as the university sector, and a sample from civil society. The results of this research indicate that the industry sector is the primary driver of innovation, universities provide foundational knowledge for other sectors, and the government plays a role in maintaining the smooth operation of the fashion industry through policies. Additionally, civil society is responsible for evaluating the work of industry, universities, and government policies. This research contributes to the body of knowledge on the quadruple helix innovation theory.

Zoonoses in the Indian Poultry Sector and Prospect of One Health Approach as a Sustainable Solution: A Review

The Indian poultry sector has witnessed noticeable amplification in recent years. Still, it has also been plagued by the emergence of zoonotic diseases, posing significant threats to public health, food security, and the economy. This abstract explores the alarming rise of zoonotic diseases in the Indian poultry industry and highlights the urgent need for a One Health approach to address emerging challenges. The One Health framework, which emphasizes the interconnectedness between human, animal, and environmental health, holds promise as a sustainable solution to mitigate zoonotic epidemics in the poultry sector. This study reviews the challenges, potential benefits, and key considerations associated with implementing the One Health approach in India, emphasizing its role in preventing and controlling zoonotic outbreaks in poultry birds, improving bird welfare, and fostering sustainable operation in the poultry industry thereby securing human and environmental health and well-being. It underscores the importance of collaboration among various stakeholders, including government agencies, veterinary and medical professionals, and the poultry industry, to promote a holistic and resilient approach to zoonoses management.

Pollution area identification, receptor model-oriented sources and probabilistic health hazards to prioritize control measures for heavy metal management in soil

Identifying the primary source of heavy metals (HMs) pollution and the key pollutants is crucial for safeguarding eco-health and managing risks in industrial vicinity. For this purpose, this investigation was carried out to investigate the pollution area identification with soil static environmental capacity (QI), receptor model-oriented critical sources, and Monte Carlo simulation (MCS) based probabilistic environmental and human health hazards associated with HMs in agricultural soils of Narayanganj, Bangladesh. The average concentration of Cr, Ni, Cu, Cd, Pb, Co, Zn, and Mn were 98.67, 63.41, 37.39, 1.28, 23.93, 14.48, 125.08, and 467.45 mg/kg, respectively. The geoaccumulation index identified Cd as the dominant metal, indicating heavy to extreme contamination in soils. The QI revealed that over 99% of the areas were polluted for Ni and Cd with less uncertain regions whereas Cr showed a significant portion of areas with uncertain pollution status. The positive matrix factorization (PMF) model identified three major sources: agricultural (29%), vehicular emissions (25%), and industrial (46%). The probabilistic assessment of health hazards indicated that both carcinogenic and non-carcinogenic risks for adult male, adult female, and children were deemed unacceptable. Moreover, children faced a higher health hazard compared to adults. For adult male, adult female, and children, industrial operations contributed 48.4%, 42.7%, and 71.2% of the carcinogenic risks, respectively and these risks were associated with Ni and Cr as the main pollutants of concern. The study emphasizes valuable scientific insights for environmental managers to tackle soil pollution from HMs by effectively managing anthropogenic sources. It could aid in devising strategies for environmental remediation engineering and refining industry standards.

Edge AI: Revolutionizing Real-Time Intelligence at the Network Periphery

Abstract: Edge AI, which transfers computation from centralized data centers to devices at the edge of the network, is a revolutionary development in artificial intelligence that offers advantages including real-time processing, decreased latency, increased privacy, and increased bandwidth efficiency. This paradigm is especially important for industrial IoT, smart city, and autonomous car applications where quick data processing and decision making are critical. Even with obstacles like scalability and hardware constraints, edge AI capabilities are being significantly expanded by continuing research and technical developments. Its revolutionary influence is demonstrated by current applications in a variety of domains, from improving industrial operations to urban infrastructure. Edge AI promises to revolutionize many industries, changing how we interact with technology and influencing the development of the next wave of AI applications as it develops further thanks to advancements in hardware and AI algorithms. With enormous potential for the future, edge AI represents a major advancement toward ubiquitous AI with broad ramifications for both technology and society

Numerical investigation of electromagnetic [Cu + TiO2/H2O]h hybrid nanofluid flow with solar radiation over an exponential stretching surface

AbstractThe idea of a hybrid nanofluid (HNF) has sparked curiosity among many scientists because of its ability to enhance thermal characteristics, leading to elevated rates of heat transfer (HT). These HNFs are utilized in various engineering and industrial settings, such as electronics cooling, manufacturing, naval structures, biomedical applications, and drug delivery. The current study investigates the analysis of irreversibility in EMHD [Cu + TiO2/H2O]h flow over a stretching sheet with radiation and viscous dissipation. The governing PDEs are converted into ODEs using similarity variables. These ODEs are then solved using the RKF method along with a shooting technique. The effects of different physical parameters on the velocity and temperature distributions of the HNF, as well as on HT and surface drag force, are thoroughly examined and presented in graphs. The velocity of [TiO2/water]n flow declines as the magnetic field strength rises, but it rises with greater electric field values for [Cu + TiO2/water]h. The temperature of the [Cu + TiO2/water]h increases with elevated levels of radiation, Eckert number, and heat generation strength. Higher Reynolds and Brinkman numbers result in a rise in entropy generation for [Cu + TiO2/H2O]h, whereas the Bejan number decreases to the same extent. The HT rate in [Cu + TiO2/H2O]h increases by 3.05% as the Eckert number rises, while it drops by 4.01% when there is significant thermal radiation. Skin friction reduces by 3.21% in [TiO2/water]n as the electric field strength increases, whereas it decreases by 4.05% with an increase in magnetic field strength. These discoveries offer valuable perspectives on furthering the utilization of HNFs in engineering and industrial operations.

The role of software automation in improving industrial operations and efficiency

The role of software automation in improving industrial operations and efficiency

Research on Interest Spread Risk of Commercial Pension Insurance in the Context of Negative Interest Rates

In the current low-interest-rate environment, the high-quality development of the life insurance industry faces many challenges. Among them, interest rate spread risk has a significant impact on the stable operation and long-term healthy development of the life insurance industry. Interest rate spread risk has characteristics such as long-term nature, hidden potential, and systematic impact. When severe, it can lead to the bankruptcy of insurance companies and bring about systemic crises in the industry. This article redefines negative interest rates and the risk of interest rate spread loss in commercial pension insurance, and reviews related literature.

Smart industrial information integration: a lightweight privacy protection model in an intelligent manufacturing architecture

In the industrial ecosystem, both the manufacturing and edge clouds collaborate via virtualisation technology, playing a crucial role in the efficient aggregation and processing of vast data from endpoints, offering computational and analytical support for enhanced decision-making in all industrial operations. Consequently, ensuring the reliability of virtualised manufacturing environments is paramount. Remote attestation offers a viable solution, however, current schemes are plagued by inefficiencies and privacy leakage issues. To address these concerns, we propose an efficient remote attestation approach. The approach actively conceals sensitive industrial information in measurement logs by using a hash algorithm, thereby preventing privacy breaches. Furthermore, it streamlines log entries with a log compression algorithm, enhancing remote verification efficiency in the industrial information architecture. Extensive experiments were conducted in an authentic cloud environment by applying this approach across both mesh and hierarchical remote verification structures, reducing time overhead by approximately 81.32%. Additionally, it marginally impacts server performance with only a 1.49% reduction. The results affirm the proposed approach's exceptional efficacy in decreasing verification durations and mitigating remote verification attacks, demonstrating its promising utility and feasibility in the intelligent industrial platform.

Diagnosing electrostatic problems and hazards in industrial processes: Case studies

AbstractStatic electricity is a phenomenon commonly encountered yet often misunderstood and underestimated in terms of its hazard potential; it continues to challenge the safety and reliability of industrial processes, particularly those involving flammable substances. This paper delves into the critical issue of electrostatic hazards in industrial settings by presenting two flash fire/explosion case studies, one involving biphenyl dust and the other gasoline vapor; both linked to electrostatic discharges. The first case study examines an explosion in a flaker and pack‐out hopper during biphenyl flake manufacturing. The investigation reveals the role of electrostatic charges in the incident and how well‐intentioned equipment changes created warning signs of increased risk that were missed. The second case study discusses a gasoline vapor flash fire, highlighting the common yet overlooked hazard of static electricity during the transfer of flammable liquids. It underscores how common activities involving people can generate sufficient electrostatic charge to ignite flammable vapor–air mixtures in industry. The outcomes of these studies highlight the importance of acting on early warning signs of static electricity and the crucial role of data‐driven diagnostic techniques in addressing and controlling those hazards. By dissecting the intricacies of electrostatic phenomena, safety professionals can formulate actionable strategies to adapt plant operations and prevent hazards from static electricity. The paper advocates for a proactive approach to identifying and mitigating electrostatic risks in industrial settings beginning with process hazard analyses that incorporate static electricity hazards analysis and continues through employee training to ensure that early warning signs are identified, understood, and acted upon. It stresses the need for comprehensive safety measures, including proper grounding and bonding, use of static dissipative materials, and regular maintenance of safety equipment, to prevent incidents. Through these case studies, the paper contributes to understanding of electrostatic hazards in industrial processes and highlights the importance of integrating electrostatic safety measures into routine industrial operations.