The Experts below are selected from a list of 297 Experts worldwide ranked by ideXlab platform
Younghak Lee - One of the best experts on this subject based on the ideXlab platform.
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modeling and optimization of the condensing steam turbine network of a Chemical Plant
Industrial & Engineering Chemistry Research, 2006Co-Authors: Younghak LeeAbstract:An online optimization system was developed and applied to the condensing steam turbine network of a Chemical Plant. First, we developed a hybrid model of the condensing steam turbines with multiple steam injectors, by combining thermodynamic models into support vector machines. The developed hybrid model is capable of predicting the electric power generated by the steam turbines, with prediction errors of 1%−2%, and computing several performance indicators, such as the overall efficiency and the power recovery rate. An optimization problem then was formulated by utilizing the developed model to maximize the total electric power recovery from the steam turbine network. Finally, an online optimization system was developed that consists of the optimization engine (to solve the optimization problem), the model manager (to update the models), and the optimization client (to inform the turbine operators of the optimization results). The energy cost has been considerably reduced, because the optimization system...
Roberto Montanari - One of the best experts on this subject based on the ideXlab platform.
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Persuasive technologies in the interface of a high-risk Chemical Plant production processes management system
Cognition Technology & Work, 2010Co-Authors: Fabiana Vernero, Roberto MontanariAbstract:This paper describes how persuasive technologies have been introduced in the interface (HCI) of a production processes management system (PPMS) adopted into a high-risk Chemical Plant, making the operators’ tasks safer and less afflicted by human errors. The hypothesis that persuasive technologies can contribute to improve safety was empirically confirmed in a study carried out on a real PPMS. It has been observed that this PPMS implements a persuasion strategy called tunnelling, aimed at forcing the operators to strictly follow a step-by-step and start-to-end execution of the tasks. First, a survey was conducted on a sample of 13 operators in order to investigate the role played by the PPMS, comparing it with the “functional triad” proposed by Fogg (Persuasive technology. Using computers to change what we think and do. Morgan Kaufmann Publishers, San Francisco, 2002 ). Then, an analysis on production volumes and accidents revealed that the PPMS actually encourages safer behaviours and contributed to a reduction of the number of dangerous slips and lapses since its adoption.
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risk management persuasive technologies the case of a technologically advanced high risk Chemical Plant
Psychnology Journal, 2007Co-Authors: Fabiana Vernero, Roberto MontanariAbstract:Our study focuses on applications of persuasive technologies (Fogg, 2002) as a means to manage risks in technologically advanced industrial sites. An analysis of the production processes of a Chemical Plant allowed us to identify two risk scenarios where human factors are particularly relevant: in Chemicals identification and in the use of personal protective equipment. Possible solutions based on persuasive technologies and aimed at minimizing the occurrence of human errors were prototyped. Qualitative evaluation of the proposed solutions, which involved 7 potential users, both operators and safety engineers (the population consisting of 29 people), allowed us to have a first confirmation of their acceptability and persuasion effectiveness.
Fabiana Vernero - One of the best experts on this subject based on the ideXlab platform.
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Persuasive technologies in the interface of a high-risk Chemical Plant production processes management system
Cognition Technology & Work, 2010Co-Authors: Fabiana Vernero, Roberto MontanariAbstract:This paper describes how persuasive technologies have been introduced in the interface (HCI) of a production processes management system (PPMS) adopted into a high-risk Chemical Plant, making the operators’ tasks safer and less afflicted by human errors. The hypothesis that persuasive technologies can contribute to improve safety was empirically confirmed in a study carried out on a real PPMS. It has been observed that this PPMS implements a persuasion strategy called tunnelling, aimed at forcing the operators to strictly follow a step-by-step and start-to-end execution of the tasks. First, a survey was conducted on a sample of 13 operators in order to investigate the role played by the PPMS, comparing it with the “functional triad” proposed by Fogg (Persuasive technology. Using computers to change what we think and do. Morgan Kaufmann Publishers, San Francisco, 2002 ). Then, an analysis on production volumes and accidents revealed that the PPMS actually encourages safer behaviours and contributed to a reduction of the number of dangerous slips and lapses since its adoption.
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risk management persuasive technologies the case of a technologically advanced high risk Chemical Plant
Psychnology Journal, 2007Co-Authors: Fabiana Vernero, Roberto MontanariAbstract:Our study focuses on applications of persuasive technologies (Fogg, 2002) as a means to manage risks in technologically advanced industrial sites. An analysis of the production processes of a Chemical Plant allowed us to identify two risk scenarios where human factors are particularly relevant: in Chemicals identification and in the use of personal protective equipment. Possible solutions based on persuasive technologies and aimed at minimizing the occurrence of human errors were prototyped. Qualitative evaluation of the proposed solutions, which involved 7 potential users, both operators and safety engineers (the population consisting of 29 people), allowed us to have a first confirmation of their acceptability and persuasion effectiveness.
Tiezhong Liu - One of the best experts on this subject based on the ideXlab platform.
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bayesian network based risk analysis of Chemical Plant explosion accidents
International Journal of Environmental Research and Public Health, 2020Co-Authors: Tiantian Wang, Tiezhong LiuAbstract:The Chemical industry has made great contributions to the national economy, but frequent Chemical Plant explosion accidents (CPEAs) have also caused heavy property losses and casualties, as the CPEA is the result of interaction of many related risk factors, leading to uncertainty in the evolution of the accident. To systematically excavate and analyze the underlying causes of accidents, this paper first integrates emergency elements in the frame of orbit intersection theory and proposes 14 nodes to represent the evolution path of the accident. Then, combined with historical data and expert experience, a Bayesian network (BN) model of CPEAs was established. Through scenario analysis and sensitivity analysis, the interaction between factors and the impact of the factors on accident consequences was evaluated. It is found that the direct factors have the most obvious influence on the accident consequences, and the unsafe conditions contribute more than the unsafe behaviors. Furthermore, considering the factor chain, the management factors, especially safety education and training, are the key link of the accident that affects unsafe behaviors and unsafe conditions. Moreover, effective government emergency response has played a more prominent role in controlling environmental pollution. In addition, the complex network relationship between elements is presented in a sensitivity index matrix, and we extracted three important risk transmission paths from it. The research provides support for enterprises to formulate comprehensive safety production management strategies and control key factors in the risk transmission path to reduce CPEA risks.
Rongchen Zhu - One of the best experts on this subject based on the ideXlab platform.
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risk analysis of Chemical Plant explosion accidents based on bayesian network
Sustainability, 2019Co-Authors: Rongchen ZhuAbstract:Many Chemical Plant explosion accidents occur along with the development of the Chemical industry. Meanwhile, the interaction and influence of various factors significantly increase the uncertainty of the evolution process of such accidents. This paper presents a framework to dynamically evaluate Chemical Plant explosion accidents. We propose twelve nodes to represent accident evolution and establish a Bayesian network model for Chemical Plant explosion accidents, combining historical data with expert experience to support the prevention, management, and real-time warning. Hypothetical scenarios and catastrophic explosion scenarios were analyzed by setting different combinations of states for nodes. Moreover, the impacts of factors such as factory type, material form, accident equipment, the emergency response on casualty and property loss are evaluated. We find that sensitivity of property loss and casualties to factory type and ongoing work are less significant; the equipment factors result in more casualties than that from personnel factors; the impact of emergency response on the accident results is significant; equipment safety management and personnel safety training are the most important measures to prevent Chemical Plant explosion risks.