Integral Pressurized Water Reactor (IPWR) is gaining attention for use in Indonesia due to lower initial capital investment, sitting flexibility, and high level of inherent safety. IPWR relies heavily on passive cooling systems that have many advantages but lacks operational experience because no one operates commercially. Therefore, it is necessary to carry out a risk analysis related to passive cooling system failures that may occur during operation. Even if conventional risk analysis methods are applied singularly, the results still have shortcomings. This study aims to integrate the use of the Hazard and Operability Analysis (HAZOP), Fault Tree Analysis (FTA), and Failure Mode and Effect Analysis (FMEA) methods to identify risks in the IPWR primary cooling system during normal operation. HAZOP was used to identify hazards, FTA analyzed the root causes of the critical problems, and the basic event's FMEA was developed for risk ranking and mitigation measures. This combined methodology makes risk assessment more systematic and comprehensive because it manages entity-wide risk. The results offer valuable insights for stakeholders involved in decision-making regarding the development of nuclear power plants (NPPs) in Indonesia.
{"title":"Risk identification of integral pressurized water reactor (IPWR) cooling system using a combination HAZOP, FMEA, and FTA methods","authors":"Deswandri Deswandri, Sudarno Sudarno, Ratih Luhuring Tyas, Anggraini Ratih Kumaraningrum, Restu Maerani, Ibnu Maulana Hidayatullah, Muhamad Sahlan, Azmi Mohd Shariff, Heri Hermansyah","doi":"10.1002/prs.12570","DOIUrl":"https://doi.org/10.1002/prs.12570","url":null,"abstract":"Integral Pressurized Water Reactor (IPWR) is gaining attention for use in Indonesia due to lower initial capital investment, sitting flexibility, and high level of inherent safety. IPWR relies heavily on passive cooling systems that have many advantages but lacks operational experience because no one operates commercially. Therefore, it is necessary to carry out a risk analysis related to passive cooling system failures that may occur during operation. Even if conventional risk analysis methods are applied singularly, the results still have shortcomings. This study aims to integrate the use of the Hazard and Operability Analysis (HAZOP), Fault Tree Analysis (FTA), and Failure Mode and Effect Analysis (FMEA) methods to identify risks in the IPWR primary cooling system during normal operation. HAZOP was used to identify hazards, FTA analyzed the root causes of the critical problems, and the basic event's FMEA was developed for risk ranking and mitigation measures. This combined methodology makes risk assessment more systematic and comprehensive because it manages entity-wide risk. The results offer valuable insights for stakeholders involved in decision-making regarding the development of nuclear power plants (NPPs) in Indonesia.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"28 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139092492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mazian Mohammad, Abdul Rahim Othman, Mohd Faisal Ismail
This paper explores the application of acoustic emission (AE) monitoring in mechanical and materials studies, specifically focusing on the detection of plastic deformation, fracture, and crack growth. However, the influence of high temperature on AE signals and its effects on mechanical properties are not fully understood due to the limitations of sensors in high-temperature environments. To address this gap, the study investigates the impact of high temperatures on the mechanical properties of stainless steel SS304 using AE techniques during tensile testing. Two temperature conditions were tested: 600 and 700°C. AE sensors connected to specimens captured AE activity using a designated waveguide, and a Continuous Creep Monitoring Instrument (CCMi) recorded the responses. Sensitivity testing using the pencil-lead break (PLB) technique ensured the sensor's capability. The proposed frequency-based analysis method, fast Fourier transform amplitude (FFTA) analysis, was employed to effectively analyze the AE signals. The results revealed significant AE features and frequency distributions associated with elastic deformation, plastic deformation, and fracture regions. These findings establish a foundation for utilizing AE techniques in crack detection and monitoring under high-temperature loading, contributing to equipment reliability and structural integrity.
{"title":"Influence of high temperature during tensile test for stainless steel using acoustic emission","authors":"Mazian Mohammad, Abdul Rahim Othman, Mohd Faisal Ismail","doi":"10.1002/prs.12576","DOIUrl":"https://doi.org/10.1002/prs.12576","url":null,"abstract":"This paper explores the application of acoustic emission (AE) monitoring in mechanical and materials studies, specifically focusing on the detection of plastic deformation, fracture, and crack growth. However, the influence of high temperature on AE signals and its effects on mechanical properties are not fully understood due to the limitations of sensors in high-temperature environments. To address this gap, the study investigates the impact of high temperatures on the mechanical properties of stainless steel SS304 using AE techniques during tensile testing. Two temperature conditions were tested: 600 and 700°C. AE sensors connected to specimens captured AE activity using a designated waveguide, and a Continuous Creep Monitoring Instrument (CCMi) recorded the responses. Sensitivity testing using the pencil-lead break (PLB) technique ensured the sensor's capability. The proposed frequency-based analysis method, fast Fourier transform amplitude (FFTA) analysis, was employed to effectively analyze the AE signals. The results revealed significant AE features and frequency distributions associated with elastic deformation, plastic deformation, and fracture regions. These findings establish a foundation for utilizing AE techniques in crack detection and monitoring under high-temperature loading, contributing to equipment reliability and structural integrity.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"31 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139063128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Darmawan Ahmad Mukharror, Ibnu Maulana, Muhammad Yusuf, Hary Devianto, Andy Noorsaman Sommeng, Sutrasno Kartohardjono, Heri Hermansyah
As of May 31, 2022, approximately 18,687 km of gas pipeline has been built in Indonesia. However, the pipeline failure data are yet to be gathered or evaluated. In quantitative risk assessment (QRA), the pipeline failure frequency is calculated by a generic failure frequency approach. Most of these generic failure frequency data are based on other region pipeline incident databases. This paper aims to provide the basis of data for the failure frequency of Indonesia's buried onshore pipeline. Accident data from 1127.9 km of underground onshore gas pipelines within 30 years (1976–2006) in Indonesia were gathered and assessed to provide the cause and effect of pipeline age and diameter on the generic failure rate. This research reveals the average failure rate of 5.32E-04/km-year of onshore pipelines in Indonesia. The study concluded that baseline failure frequencies from this analysis could be used for buried onshore pipeline quantitative risk assessment purposes. Further pipeline failure research for a relatively current period (e.g., from 2006 to 2022), type of installation (e.g., buried, or non-buried), and other applications of the pipeline (e.g., offshore pipeline) should be conducted as a way forward for this study to have a complete database for Indonesian accidents.
{"title":"Collection and analysis of hydrocarbon gas buried onshore pipeline accidents in Indonesia as the databases for failure frequency assessment in a quantitative risk analysis","authors":"Darmawan Ahmad Mukharror, Ibnu Maulana, Muhammad Yusuf, Hary Devianto, Andy Noorsaman Sommeng, Sutrasno Kartohardjono, Heri Hermansyah","doi":"10.1002/prs.12577","DOIUrl":"https://doi.org/10.1002/prs.12577","url":null,"abstract":"As of May 31, 2022, approximately 18,687 km of gas pipeline has been built in Indonesia. However, the pipeline failure data are yet to be gathered or evaluated. In quantitative risk assessment (QRA), the pipeline failure frequency is calculated by a generic failure frequency approach. Most of these generic failure frequency data are based on other region pipeline incident databases. This paper aims to provide the basis of data for the failure frequency of Indonesia's buried onshore pipeline. Accident data from 1127.9 km of underground onshore gas pipelines within 30 years (1976–2006) in Indonesia were gathered and assessed to provide the cause and effect of pipeline age and diameter on the generic failure rate. This research reveals the average failure rate of 5.32E-04/km-year of onshore pipelines in Indonesia. The study concluded that baseline failure frequencies from this analysis could be used for buried onshore pipeline quantitative risk assessment purposes. Further pipeline failure research for a relatively current period (e.g., from 2006 to 2022), type of installation (e.g., buried, or non-buried), and other applications of the pipeline (e.g., offshore pipeline) should be conducted as a way forward for this study to have a complete database for Indonesian accidents.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"17 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139056739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The transportation of oil is an important aspect of chemical process safety. In the accidental leakage of oil and related products, the flame spread occurs occasionally when the liquid fuel is activated by a pilot flame. In the potential application of fire prevention, a step obstacle placed above the oil ditch may effectively hinder the flame spread. The effectiveness of the usage of a step obstacle depends on the size of the obstacle and the heat exchange mechanism. Therefore, the investigation of inhibition behavior and heat transfer of liquid flame spread with gas step obstacle is performed. The hot fluids flow inside the channel to carry out the convection heat to the initial cold oils on the opposite of the gas step obstacle. The flame configuration is blocked behind the step obstacle. The flame spread behaviors including flame morphology, inhibition time, and air entrainment are characterized and analyzed. The heat flows of flame radiation and liquid‐phase convection are theoretically calculated, and the primary heat transfer mechanism is determined. This work is helpful for the development of fire safety technology and the establishment of standard specifications for oil transportation.
{"title":"Inhibition behavior and heat transfer of flame spread over liquid fuel with the influence of a step obstacle in the gas phase","authors":"Shenlin Yang, Peiyuan Hu, Ranran Li, Manhou Li, Quanmin Xie, Jingchuan Li","doi":"10.1002/prs.12564","DOIUrl":"https://doi.org/10.1002/prs.12564","url":null,"abstract":"The transportation of oil is an important aspect of chemical process safety. In the accidental leakage of oil and related products, the flame spread occurs occasionally when the liquid fuel is activated by a pilot flame. In the potential application of fire prevention, a step obstacle placed above the oil ditch may effectively hinder the flame spread. The effectiveness of the usage of a step obstacle depends on the size of the obstacle and the heat exchange mechanism. Therefore, the investigation of inhibition behavior and heat transfer of liquid flame spread with gas step obstacle is performed. The hot fluids flow inside the channel to carry out the convection heat to the initial cold oils on the opposite of the gas step obstacle. The flame configuration is blocked behind the step obstacle. The flame spread behaviors including flame morphology, inhibition time, and air entrainment are characterized and analyzed. The heat flows of flame radiation and liquid‐phase convection are theoretically calculated, and the primary heat transfer mechanism is determined. This work is helpful for the development of fire safety technology and the establishment of standard specifications for oil transportation.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"6 5","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138945096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yingquan Qi, Li Ding, Yong Pan, Jingran Liu, Supan Wang
The study of the explosion parameters of ethanol–air mixture at high pressure and temperature is essential for the safe production of ethanol. However, the explosion characteristics of ethanol vapor at various pressures and temperatures are limited. The mechanism at the flammability limits of ethanol has not been clarified, and the corresponding prediction model is also lacking. In this study, chemical kinetics and machine learning are used to study the mechanism of ethanol explosion and build predictive models, respectively. Our findings show that an increase in the initial pressure has a more pronounced influence on the explosion pressure (Pex) and pressure rise rate (dp/dt) than an increase of temperature. The variation trend of the upper flammability limit (UFL) of ethanol is related to the different effects of temperature and pressure on OH radicals. H + O2<>OH + O and HO2 + CH3<>OH + CH3O had the greatest effect on the generation of OH radicals. The quantitative relationship between the H, O, and OH radicals and UFL was constructed by machine learning, providing a new research perspective for the prediction of the UFL of an inflammable fuel under different pressures and temperatures. The results of the study will provide theoretical and practical guidance for the prevention and control of explosions in the ethanol production process.
{"title":"Study of ethanol vapor explosion and prediction based on chemical kinetics under high temperature and pressure","authors":"Yingquan Qi, Li Ding, Yong Pan, Jingran Liu, Supan Wang","doi":"10.1002/prs.12566","DOIUrl":"https://doi.org/10.1002/prs.12566","url":null,"abstract":"The study of the explosion parameters of ethanol–air mixture at high pressure and temperature is essential for the safe production of ethanol. However, the explosion characteristics of ethanol vapor at various pressures and temperatures are limited. The mechanism at the flammability limits of ethanol has not been clarified, and the corresponding prediction model is also lacking. In this study, chemical kinetics and machine learning are used to study the mechanism of ethanol explosion and build predictive models, respectively. Our findings show that an increase in the initial pressure has a more pronounced influence on the explosion pressure (<i>P</i><sub>ex</sub>) and pressure rise rate (d<i>p</i>/d<i>t</i>) than an increase of temperature. The variation trend of the upper flammability limit (UFL) of ethanol is related to the different effects of temperature and pressure on OH radicals. H + O<sub>2</sub><>OH + O and HO<sub>2</sub> + CH<sub>3</sub><>OH + CH<sub>3</sub>O had the greatest effect on the generation of OH radicals. The quantitative relationship between the H, O, and OH radicals and UFL was constructed by machine learning, providing a new research perspective for the prediction of the UFL of an inflammable fuel under different pressures and temperatures. The results of the study will provide theoretical and practical guidance for the prevention and control of explosions in the ethanol production process.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"239 1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138823736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tarek Bengherbia, Faisal A. Syed, Jenny Chew, Fathullah A. Khalid, Alex F. T. Goh, Kenza Chraibi, Mohammed Zainal Abdeen
The accurate prediction of gas dispersion and the potential consequences of gas explosions hold a pivotal role in the assessment of explosion design loads for oil and gas processing facilities. This often involves the use of computational fluid dynamics (CFD) simulations, a widely adopted practice in the field. The extent of CFD simulations required depends on the specific characteristics and size of the facility. In many cases, a substantial number of simulations, often in the thousands, are needed to comprehensively assess the potential outcomes in the event of a hydrocarbon loss of containment. These simulations account for the complex three-dimensional nature of the facility, the surrounding environmental conditions, and the properties of the leaking hydrocarbon fluids. Although unquestionably invaluable, CFD simulations impose significant temporal constraints upon their execution and necessitate the allocation of substantial efforts and Central Processing Unit (CPU) time. In this paper we develop a neural model tailored specifically for the analysis of CFD gas dispersion and gas explosion scenarios. This model leverages the capabilities of machine learning algorithms to expedite the execution of these complex studies. The proposed neural network model has the advantage of being able to handle a wide range of scenarios in a fraction of time it takes to perform the CFD simulations, making it particularly useful for large-scale processes facilities. The accuracy of the predictions is remarkably high, providing a high level of confidence in the predictions of the flammable gas clouds sizes across various scenarios, as well as the resulting explosion overpressures.
{"title":"Application of machine learning methods for process safety assessments","authors":"Tarek Bengherbia, Faisal A. Syed, Jenny Chew, Fathullah A. Khalid, Alex F. T. Goh, Kenza Chraibi, Mohammed Zainal Abdeen","doi":"10.1002/prs.12562","DOIUrl":"https://doi.org/10.1002/prs.12562","url":null,"abstract":"The accurate prediction of gas dispersion and the potential consequences of gas explosions hold a pivotal role in the assessment of explosion design loads for oil and gas processing facilities. This often involves the use of computational fluid dynamics (CFD) simulations, a widely adopted practice in the field. The extent of CFD simulations required depends on the specific characteristics and size of the facility. In many cases, a substantial number of simulations, often in the thousands, are needed to comprehensively assess the potential outcomes in the event of a hydrocarbon loss of containment. These simulations account for the complex three-dimensional nature of the facility, the surrounding environmental conditions, and the properties of the leaking hydrocarbon fluids. Although unquestionably invaluable, CFD simulations impose significant temporal constraints upon their execution and necessitate the allocation of substantial efforts and Central Processing Unit (CPU) time. In this paper we develop a neural model tailored specifically for the analysis of CFD gas dispersion and gas explosion scenarios. This model leverages the capabilities of machine learning algorithms to expedite the execution of these complex studies. The proposed neural network model has the advantage of being able to handle a wide range of scenarios in a fraction of time it takes to perform the CFD simulations, making it particularly useful for large-scale processes facilities. The accuracy of the predictions is remarkably high, providing a high level of confidence in the predictions of the flammable gas clouds sizes across various scenarios, as well as the resulting explosion overpressures.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"21 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138823720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maxwell Judd Lawrence, Rafeqah Raslan, Nur Shahidah Ab Aziz
Insect repellents are one of the most effective ways to prevent the spread of diseases such as dengue, malaria, and yellow fever. However, most insect repellents contain ingredients that pose a significant risk to consumers. Therefore, this research aims to design a safer and less harmful insect-repellent formulation based on the formulated product design methodology. Computer-aided molecular design (CAMD) methodology was employed to design an insect-repellent solvent that exhibits minimum safety and health risks. The safety and health hazards of all the selected ingredients were then assessed using an inherent safety and health index known as the Product Ingredient Safety and Health Index (PISHI). As a result, the proposed insect-repellent formulation with minimum safety and health risks may consist of picaridin, 1,5-pentanediol, and linalool. This research contributed to an inherently safer formulation design, where the identification and elimination of hazardous ingredients has been done at the early design stage. The safer and less harmful ingredients used in the insect-repellent formulation may reduce the significant risk to consumers.
{"title":"Computer-aided design of insect-repellent formulation with inherent safety assessment","authors":"Maxwell Judd Lawrence, Rafeqah Raslan, Nur Shahidah Ab Aziz","doi":"10.1002/prs.12568","DOIUrl":"https://doi.org/10.1002/prs.12568","url":null,"abstract":"Insect repellents are one of the most effective ways to prevent the spread of diseases such as dengue, malaria, and yellow fever. However, most insect repellents contain ingredients that pose a significant risk to consumers. Therefore, this research aims to design a safer and less harmful insect-repellent formulation based on the formulated product design methodology. Computer-aided molecular design (CAMD) methodology was employed to design an insect-repellent solvent that exhibits minimum safety and health risks. The safety and health hazards of all the selected ingredients were then assessed using an inherent safety and health index known as the Product Ingredient Safety and Health Index (PISHI). As a result, the proposed insect-repellent formulation with minimum safety and health risks may consist of picaridin, 1,5-pentanediol, and linalool. This research contributed to an inherently safer formulation design, where the identification and elimination of hazardous ingredients has been done at the early design stage. The safer and less harmful ingredients used in the insect-repellent formulation may reduce the significant risk to consumers.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"35 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138714712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the increase of Liquefied Natural Gas (LNG) fuel-powered vessels, LNG bunkering vessels have become an important development direction of LNG bunkering technology for its advantages. However, the LNG bunkering vessel operation risk assessment is relatively few. Formal Safety Assessment (FSA) is a novel structured and systematic risk analysis method for Marine engineering, through the data analysis based on probability theory, people can foresee the risk before the accident and take measures to reduce the risk and avoid heavy loss. In this paper, the LNG bunkering vessel operation process is divided into four subprocesses: the loading process, the navigation process, the bunkering process, and the anchoring process. The FSA method is used to identify and evaluate the risks in each process, judge the negligible risk, reasonable and feasible low risk, unacceptable risk, and put forward corresponding safe measures to provide safety guarantees for the operation of LNG bunkering vessels. Through the standardized assessment steps of FSA, a risk model for the LNG bunkering vessel operation process is established, and reasonable suggestions and measures that can effectively control the risk of the LNG bunkering vessel operation process are proposed, the research results of this paper can provide important technical guidance and reference value for the safe operation of LNG bunkering vessel.
{"title":"Risk assessment of LNG bunkering vessel operation based on formal safety assessment method","authors":"Yunlong Wang, Zhiqiang Cha, Guopeng Liang, Xin Zhang, Kai Li, Guan Guan","doi":"10.1002/prs.12561","DOIUrl":"https://doi.org/10.1002/prs.12561","url":null,"abstract":"With the increase of Liquefied Natural Gas (LNG) fuel-powered vessels, LNG bunkering vessels have become an important development direction of LNG bunkering technology for its advantages. However, the LNG bunkering vessel operation risk assessment is relatively few. Formal Safety Assessment (FSA) is a novel structured and systematic risk analysis method for Marine engineering, through the data analysis based on probability theory, people can foresee the risk before the accident and take measures to reduce the risk and avoid heavy loss. In this paper, the LNG bunkering vessel operation process is divided into four subprocesses: the loading process, the navigation process, the bunkering process, and the anchoring process. The FSA method is used to identify and evaluate the risks in each process, judge the negligible risk, reasonable and feasible low risk, unacceptable risk, and put forward corresponding safe measures to provide safety guarantees for the operation of LNG bunkering vessels. Through the standardized assessment steps of FSA, a risk model for the LNG bunkering vessel operation process is established, and reasonable suggestions and measures that can effectively control the risk of the LNG bunkering vessel operation process are proposed, the research results of this paper can provide important technical guidance and reference value for the safe operation of LNG bunkering vessel.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138568092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kim M-G, Lee HE, Yoon SJ, Kim JH, Moon K-W. A gas detector planning method that considers the area and zone based on the range of influence of chemicals with high vapor pressure. Process Saf Prog. 2023; 42(3):537–549. doi:10.1002/prs.12478
In the article cited above, Funding Acknowledgment should be updated as follows:
This research was supported by a grant from the National Institute of Environment Research (NIER), funded by the Ministry of Environment (MOE) of the Republic of Korea (NIER-2023-01-01-109).
We apologize for this error.
Kim M-G，Lee HE，Yoon SJ，Kim JH，Moon K-W。根据高蒸汽压化学品的影响范围考虑区域和分区的气体探测器规划方法。Process Saf Prog.2023; 42(3):537-549. doi:10.1002/prs.12478在上面引用的文章中，"资助致谢 "应更新如下：本研究由大韩民国环境部（MOE）资助的国家环境研究所（NIER）提供资助（NIER-2023-01-01-109）。
{"title":"Correction to “A gas detector planning method that considers the area and zone based on the range of influence of chemicals with high vapor pressure”","authors":"","doi":"10.1002/prs.12559","DOIUrl":"https://doi.org/10.1002/prs.12559","url":null,"abstract":"<p>Kim M-G, Lee HE, Yoon SJ, Kim JH, Moon K-W. A gas detector planning method that considers the area and zone based on the range of influence of chemicals with high vapor pressure. Process Saf Prog. 2023; 42(3):537–549. doi:10.1002/prs.12478</p>\u0000<p>In the article cited above, Funding Acknowledgment should be updated as follows:</p>\u0000<p>This research was supported by a grant from the National Institute of Environment Research (NIER), funded by the Ministry of Environment (MOE) of the Republic of Korea (NIER-2023-01-01-109).</p>\u0000<p>We apologize for this error.</p>","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"6 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138553226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Events in industries have shown that a lack of process safety culture has an important contribution in driving the site to fail. The culture is composed of the values, competencies, and attitudes that drive the organization to success. Thus, competency is a core step in developing a proper foundation to implement process safety management (PSM). In the food industry, the competencies related to process safety are not as well developed as in other types of industries. Although the industry has several information and training programs on process safety, such information needs to be organized into a framework to better direct people and assure standardization and sustainment. This case study presents the proposal for a process safety competency framework with the goal to provide the knowledge and skills necessary for people at different levels in the organization to be successful in managing hazards. The competencies are defined in a way to make the contents assertive with the roles and levels of expertise also using the 70%, 20%, 10% methodology of learning and andragogy. As an initial result of this work, we could verify an increase in the leading process safety event registration, which shows an increase of awareness and culture.
{"title":"Development and application of process safety competency framework in agroindustry: A case study","authors":"Daniela Revez, Gustavo Peron Mendes-Silva","doi":"10.1002/prs.12553","DOIUrl":"https://doi.org/10.1002/prs.12553","url":null,"abstract":"Events in industries have shown that a lack of process safety culture has an important contribution in driving the site to fail. The culture is composed of the values, competencies, and attitudes that drive the organization to success. Thus, competency is a core step in developing a proper foundation to implement process safety management (PSM). In the food industry, the competencies related to process safety are not as well developed as in other types of industries. Although the industry has several information and training programs on process safety, such information needs to be organized into a framework to better direct people and assure standardization and sustainment. This case study presents the proposal for a process safety competency framework with the goal to provide the knowledge and skills necessary for people at different levels in the organization to be successful in managing hazards. The competencies are defined in a way to make the contents assertive with the roles and levels of expertise also using the 70%, 20%, 10% methodology of learning and andragogy. As an initial result of this work, we could verify an increase in the leading process safety event registration, which shows an increase of awareness and culture.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"16 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138553210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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