Introducing Artificial Intelligence (AI) tools is one of the development trends in complex industrial systems in the industry 4.0 environment. Unique challenges in system operations need to be handled by effective operation support systems. The knowledge-based operation support systems are developing rapidly in recent years. The paper aims at highlighting the concerns of knowledge acquisition and representation

In this study, a wet electrostatic precipitator (WESP) with combination of electric field and charged water drop atomization was designed for fine particle collection, which replaced the traditional water film and mechanically spray. The removal performance was evaluated considering applied voltage, water flow rate, gas residence time, dust concentration, and continuous operation time. Results indicated

This study comprehensively investigates the inhibition characteristics of the electrokinetic removal (EKR) of inorganic pollutants from soil due to evolution of the acidic and alkaline fronts (EAAF). The effects of EAAF on the ion strength of the soil pore fluid, potential distribution, soil colloids, clay minerals, and soil microstructure are systematically examined, in addition to the control effects

1-((Cyano-1-methylethyl) azo) formamide (CABN) is an azo initiator that has the inherent property of being decomposed at high temperatures with considerable amounts of heat generated. The thermal hazard of CABN is the main consideration in the occurrence of serious accidents. In this study, differential scanning calorimetry (DSC) was used to obtain the heat flow profiles and thermodynamic parameters

Pipeline leak identification method using transient frequency response (TFR) has been researched in the past two decades. To extend this method to a more general water pipeline system with hydraulic uncertainties, this work (1) introduces deep learning (DL) into the TFR-based leak identification framework and (2) develops extended TFR equations in matrix form for DL learning set generation. In this

For the characteristics of high frequency and strong suddenness of dynamic disasters in deep coal mines, the traditional detection and evaluation techniques applied to shallow coal mine failed to accurately judge the risk degree of disasters. Therefore, it is of great significance to use advanced detection technologies and appropriate evaluation methods to improve the accuracy and efficiency of risk

Chemical processes usually exhibit complex, high-dimensional, time-varying, and non-Gaussian characteristics, and the diagnosis of faults in chemical processes is particularly important. However, many current fault diagnosis methods do not consider the temporal correlation of process data, feature selection, and feature sequence arrangement. To solve this problem, this paper presents a fault diagnosis

The shortage of energy and the aggravation of eutrophication are two major problems in China. The use of municipal wastewater to cultivate lipid-producing microalgae for the production of biodiesel not only reduces the production cost of biodiesel and alleviates energy shortage, but also mitigates eutrophication and protects the water environment. This study explored the effects of light, pH, and nutrients

The fluidized bed reactor has been recognized for large-scale CaO/Ca(OH)2 heat storage system. In this work, the effects of critical factors such as particle size, fluidization number, steam concentration in hydration, initial temperature, cycle number and type of carrier gas on heat release performance of CaO in the fluidized bed reactor were experimentally investigated. CaO under fluidization state

Selective catalytic reduction (SCR) systems are among the most effective methods used to reduce NOX emissions in internal combustion engines. SCR system performance is directly related to exhaust gas characteristics such as temperature and mass flow rate. Two-stroke engines commonly used in ships have different exhaust gas temperatures compared to four-stroke engines. In low-speed two-stroke diesel

Knowledge of flammability limits values, including both the lower flammability limit (LFL) and upper flammability limit (UFL), is essential to maximise safety in process design and operational procedures. This study aims to develop theoretical models for predicting both lower and upper flammability limits for fuel mixtures from molecular structures with the same molecular descriptors. All samples were

Thermal runaway is a major safety concern for Lithium-ion batteries in manufacture, storage, and transport. Facing the frequent incidents in the air transport of massive batteries, more reliable fire prediction and protection strategies under low-pressures conditions are urgently needed. Herein, thermal runaway criticality of the open-circuit cylindrical battery piles (up to 9 cells with 30% SOC) under

Emergency response planning associated with written procedures play a key role in the process safety to ensure that accident can be properly managed. Although the extensive use of digital techniques have significantly reduced the accident risk by early warnings and operation guidance, the Fukushima nuclear disaster reminds us that the unexpected events may still exceed existing system capability to

China’s chemical industry has experienced rapid development in the past decades. However, thermal runaway incidents have sporadically occurred, posing a serious threat to the development of the industry. This study performed the statistical analysis of 271 thermal runaway incidents that occurred in China from 1984 to 2019. Incident characteristics include the number of incidents, fatalities, spatial

Basically, the existing information security risk assessments use mathematics, statistics and computer science to analyze the information assets. Current academic risk assessment methodologies do not completely solve the risk from invisible cyber threats. More research and efforts are needed to fully complement the current risk assessment methodology. The most important things to be supplemented is

The Coronavirus disease (COVID-19) has spread over the world, resulting in more than 225 million patients, and 4.7 million deaths in September 2021. It also caused panic and terror, halted numerous activities, and resulted in the world economy deteriorates. It altered human behavior and compelled people to alter their lifestyles to avoid infection. Air conditioning systems are one of the most important

In part 1, which is complementary to this article, an appropriate data collection architecture was proposed in order to support the establishment of an onshore pipeline incident database in Brazil. Reflecting the current context of pipeline industry in this country, this structure was built based on the state of art regarding several international databases followed by an interdisciplinary survey submitted

In chemical processes, grasping the changing trend of critical parameters can help field operators take appropriate adjustments to eliminate potential fluctuations. Thus, deep networks, renowned for its revolutionary feature representation capability, have been gradually exploited for building reliable prediction models from massive data embraced tremendously nonlinearities and dynamics. Because of

An inorganic-biopolymers hybrid flocculant (PSAC-SA) was prepared by modifying sodium alginate onto polysilicate aluminum calcium (PSAC) through coordination between SA and Ca2+. The preparation conditions of PSAC-SA and the flocculation parameters that influence of the turbidity and color removal efficiency were investigated and optimized. The flocculation experiments results showed that the maximum

Learning from past incidents is critical to achieving and maintaining high process safety performance. Accident and incident records provide one way for learning; however, these are usually in the form of unstructured texts, which makes analysis difficult. Recently, text mining methods based on supervised learning have been proposed for analyzing accident reports; however, they require an impractically

A novel power generation plant was devised based on the biomass integrated fired combined cycle as the central unit and supercritical CO2 cycle, regenerative organic Rankine cycle, and steam Rankine cycle as the waste heat recovery subsystems. Exergoeconomic and economic criteria were defined to evaluate the feasibility of the system for investment and construction. Thus, net present value, payback

Coal-fired heating, mainly used in North China, has caused serious environmental problems. Schemes to replace coal have been established, but they are not suitable for all scenarios. This paper proposes a heating scheme that uses a methanol heating stove (MHS) to meet the demand for clean, low-cost rural heating. The economy, emissions, and energy consumption of the MHS were analyzed. The scheme was

Sorption-enhanced reaction process (SEPR) can produce high yield of hydrogen with in-situ CO2 removal using CaO. A key requirement for the process is the integration of effective Ca-based sorbents into catalytic schemes. In this work, the research progress of Ca-based CO2 sorbents in SEPR is summarized. The positive effects by Ca-based sorbents are analyzed. The methods to improve the reactivity of

Accidents in chemical production usually result in fatal injuries, economic losses, and negative social impacts. To ensure personnel security in such cases, previous research has often used digital data, such as physical signals. However, the valuable textual information contained in chemical security texts, such as expert knowledge, has not yet been explored. Therefore, there is an increasing demand

The strong pressure wave in gas explosion accident could cause great casualties and property loss, which has become the main threat to safety of chemical process and further popularization of clean energy. In this research, unconfined explosion experiments under different methane concentrations at 27 m3 scale were performed with internal and external obstacles. The results showed that the flame buoyant

Microplastic (MP) is considered as one of the emerging pollutants in marine environments. Because of low density and small particle size (<5 mm), MPs are easily discharged into open waterways by stormwater runoff. Therefore, the aim of this study was to investigate the effect of coagulation process for the removal of different types of MPs such as low-density polyethylene (LDPE), high-density polyethylene

Internal combustion engines have a very important place in biogas production facilities to convert biogas energy to electricity. Unfortunately, although intense studies on improving internal combustion engine efficiencies by operational optimisation methods, serious progress is not achieved yet. However, there are many ways to improve the performance of these engines apart from structural optimisation

Water distribution Networks (WDNs) are one of the most important infrastructures for modern society. Due to accidental or malicious reasons, water contamination incidents have been repeatedly reported all over the world, which not only disrupt the water supply but also endanger public health. To ensure the safety of WDNs, water quality sensors are deployed across the WDNs for real-time contamination

In this study, fluidization of granular activated carbon (GAC) by the recirculation of a bulk suspension through an anaerobic fluidized bed membrane bioreactor (AFMBR) and biogas sparging from the bottom of an anaerobic membrane bioreactor (G-AnMBR) for treating low-strength wastewater were compared to investigate organic removal and fouling rate. The chemical oxygen demand (COD) removal efficiency

Rapid development of the city makes it faces increasing challenges in controlling fire accidents. In order to improve the effectiveness in urban fire control, the distribution of urban fire risk should be identified accurately. Accordingly, a new method for urban fire risk assessment is proposed in this study. The method is based on the points of interest (POIs) data. The original POIs need to be sorted

Thermal power plants are users of high water consumption, and the water consumption of cooling towers accounts for more than half of the total water consumption of the whole plant. Therefore, water saving of cooling towers is the key to water saving in thermal power plants. Wave-plate demister as a component of cooling tower influences the performance of entire system. Demister realizes the collection

In this article, a dual-loop bi-evaporator CCP (combined cooling and power) system is presented to simultaneously supply electricity, air-conditioning, and freezing demands. The system consists of two organic Rankine cycles (ORCs) for power generation and two ejector cooling cycles (ECCs) for cooling production which is adjusted at two different cooling temperature levels, using waste heat from the

This research applied two suppression technologies of atomizing dust suppression (ADS) and spraying dust suppression (SDS) to eliminate fugitive dust emitted from coal stockpiles and further investigated their optimal operating parameters. In field tests, the mass concentrations of TSP, PM10, and PM2.5 were simultaneously measured at both upwind and downwind sites of a simulated coal stockpile to determine

Accidents resulting in industrial fires in chemical and process installations and in industrial parks where relevant quantities of hazardous substances are stored or processed may cause domino effects. Probit models developed and used in a multitude of studies can provide the probability of equipment failure, but they do not consider the effect of multiple radiation sources, and thus fail to capture

Accidental release of pressurized CO2 pipeline in carbon capture and storage involves the interaction of phase change and heavy-gas dispersion. However, the effect of the phase change of water vapor in air on the performance of cold CO2 dispersion is usually neglected. In this study, a three-dimensional two-phase computational fluid dynamics (CFD) model is developed to evaluate the cold CO2 dispersion

To accurately predict the risk of coal and gas outbursts under different conditions, an outburst risk prediction system and risk level indices value system were constructed based on extension theory. The prediction system includes 6 indices and 4 risk levels. The subjective and objective weights of the prediction indices were determined according to a fuzzy analytic hierarchy process and simple correlation

Recently, big data and machine learning based damage detection methods to support risk management of offshore facilities have received great attention, compared to traditional modal parameters-based methods. This paper illustrates the application of deep learning methods in damage detection of offshore platforms using measured vibration response of the structures subjected to random excitations. The

This work is aiming at exploration of agglomeration process leading to the increasing pollution potential of pyrolytic coke particles in effluent of steam crackers before entering the water resources. The submicron particles of pyrolytic coke are formed in steam crackers in diameter range of 0.2–5.0μm and enter the oceans as industrial effluent while the COD, TDS, TSS, odor and turbidity values are

Gas explosions remain a significant industrial hazard, characterized by sudden outbreak, rapid development, and huge destruction. Quantitative risk assessment (QRA) has played an effective role in safety management and emergency preparedness for such incidents. Although a lot of attempts have been done to analyze the explosion risks, few works have been conducted on the risk for responding rescuers

Vegetable oil residues, which are often used for biogas production, are prone to fires. The decomposition and fire behaviors of four vegetable oil residues, namely rapeseed oil residue (ROR), peanut oil residue (POR), gingili oil residue (GOR), and soybean oil residue (SOR), were investigated using elemental analysis, thermogravimetry-differential scanning calorimetry-derivative thermogravimetry (TG-DSC-DTG)

A novel integrated framework for Fault Detection and Isolation(FDI) is proposed, with applications to process safety, by sequentially integrating model-free(MFA) and model-based(MBA) approaches. The MFA includes Limit Checking/Visual and Plausibility analysis, Artificial Neural Network and Fuzzy Logic, Adaptive Neuro-Fuzzy Inference System. The MBA uses a Linear Parameter-Varying model to handle a