Steam Mass Flow Rate Research Articles

A useful formulas to describe the performance of a steam condenser in off-design conditions

The article presents relations for determining the performance of a steam condenser in off-design operating conditions. To determine some steam condenser characteristics that are simplified, but useful for analyzing steam cycles of a power unit, a model validated on the basis of factory characteristics and measurement data was used. Formulas presented in the article-for given values of cooling water temperature at the condenser inlet, the cooling water mass flow rate, the inlet steam mass flow rate and reference data-determine the cooling water temperature at the outlet and the pressure in the steam condenser. The model can be used to analyze the operation of cooling systems in off-design conditions and to optimize the way the condenser works with the low-pressure (LP) part of the turbine and all steam cycles. The two proposed relations make it possible to determine the condenser performance easily and with acceptable accuracy. The correctness of the proposed relations was verified on the basis of data obtained from the condenser simulator, measurements obtained from the Distributed Control System (DCS), and data provided in the literature.

Numerical analysis of sub-atmospheric steam condensation in suppression tank with SIMMER IV code

Abstract One of the key safety components for nuclear fusion plants is the suppression tank, which is designed to protect the Vacuum Vessel (VV) against accidental pressurization events, e.g. Loss Of Coolant Accident (LOCA). In this framework the attention is focused on the Vacuum Vessel Pressure Suppression System (VVPSS), made of water tanks in which the pure steam, or eventually mixed with incondensable gases, is injected and consequently the overpressure is dumped profiting of Direct Contact Condensation (DCC). The design constraints of fusion reactor dictate that the pressure resulting (long-term) from any accidental or baking condition should be always kept lower than 0.15 MPa. The study of the phenomena evolving during DCC in LOCA conditions is the major novelty, especially in consideration of the lack of similar studies in the available literature. In this context, a wide series of experimental tests was carried out at Pisa University (UNIPI), Department of Civil and Industrial Engineering (DICI), in a Small Scale Test Facility (SSTF), designed and instrumented for investigating DCC at sub-atmospheric pressure, by varying water pool temperature, pressure and steam mass flow rate. The adoption and assessment of suitable numerical codes, to reliably simulate such a cutting-edge multiphase multicomponent scenario, have a crucial role for contributing to the phenomena understanding and for possible safety analysis of full-scale components. On this basis, a preliminary evaluation of the cartesian three-dimensional SIMMER IV code capabilities in simulating DCC at sub-atmospheric conditions was carried out, taking as reference one UNIPI test. SIMMER IV code was able to set up precise initial low-pressure boundary conditions and simulate superheated steam condensation in subcooled water pool, with condensation efficiency comparable to the experimental one. Moreover, SIMMER IV code predicted a longitudinal steam plume dimension and injected steam velocity consistent with experimental data.

Steam consumption minimization using genetic algorithm optimization method: an industrial case study

ABSTRACT Condensate stabilization is a process where hydrocarbon condensate recovered from natural gas reservoirs is processed to meet the required storage, transportation, and export specifications. The process involves stabilizing of hydrocarbon liquid by separation of light hydrocarbon such as methane from the heavier hydrocarbon constituents such as propane. An industrial scale back-up condensate stabilization unit was simulated using Aspen HYSYS software and validated with the plant data. The separation process consumes significant amount of energy in form of steam. The objectives of the paper are to find the minimum steam consumption of the process and conduct sensitivity and exergy analyses on the process. The minimum steam consumption was found using genetic algorithm optimization method for both winter and summer conditions. The optimization was carried out using MATLAB software coupled with Aspen HYSYS software. The optimization involves six design variables and four constraints, such that realistic results are achieved. The results of the optimization show that savings in steam consumption is 34% as compared to the baseline process while maintaining the desired specifications. The effect of natural gas feed temperature has been investigated. The results show that steam consumption is reduced by 46% when the natural gas feed temperature changes from 17.7 to 32.7°C. Exergy analysis shows that exergy destruction of the optimized process is 37% less than the baseline process. Abbreviations: BCSU: Back-up condensate stabilization unit; GA: Genetic algorithm; MEG: Monoethylene glycol; RVP: Reid Vapor Pressure; LPG: Liquefied petroleum gas; Q ˙ : Heat rate; \\dotm Sat . Steam : Saturated steam mass flow rate; h fg : Latent heat; HP: High pressure; LP: Low pressure; LHV: Low heating value; X ˙ destroyed : Exergy destruction; s ˙ gen : Entropy generation; h 1 x ⃗ : Equality constraint; g j x ⃗ : Inequality constraint; x ⃗ : Design variables.

Preliminary design and analysis on the cogeneration system for Small Modular Lead-cooled Fast Reactor

Small Modular Lead-cooled Fast Reactor (SMLFR) is characterized by high safety, high efficiency, adaptability and versatility. The integrated system design adapts to more site conditions. Cogeneration is an advanced form of energy utilization based on the principle of energy cascade utilization, in which energy is mainly used to produce electricity and waste heat is used for heating at the same time. In this paper, the preliminary design of cogeneration system for SMLFR with the extraction-condensing and back-pressure cogeneration (EBC) type is proposed based on mathematical modeling and thermodynamically analysis. Based on a 35 MWth SMLFR, the effects of the main parameters and mass flow rate of heating steam on the power generation and efficiency are analyzed. A certain urban area in northern China with about 800,000 m2 heating area is chosen to analyze the heating capacity, power generation capacity and economy under different cogeneration types by thermodynamic calculation. The work aims to point out the optimization direction of system integration for the Lead-cooled Fast Reactor (LFR) cogeneration system by the thermodynamic analysis. This cogeneration system can provide a reference for the secondary loop design of Generation-IV (GEN-IV) reactors.

The Steps in Preventing, Monitoring and Removing of Fouling Scale on Operation of Evaporator

Concentrating of solution by evaporation with tubular heating surface evaporator is the effective method for decontamination of radioactive waste. Radioactive matter was concentrate with decontamination factor 104-105 for Cs-137. The evaporation of liquid waste from Serpong Nuclear Facilities having the permanent hardness of CaSO4 and MgSO4 with ratio of 2:1 generates fouling scale. The presence of scale on the evaporator gives the additional cost i.e. increasing of the capital investment cause of oversize of heat transfer surface area, increasing of energy cost for same evaporator capacity due to the presence of fouling heat transfer resistance, the presence of time loosing for maintenance and descaling, the chemical cost for descaling, and decreasing of the production capacity cause of decreasing of production time comparing the condition without the presence of fouling scale. For the problem solution, it is necessary to perform the sequence action starting the prevention of fouling scale formation, than monitoring of the fouling factor (Rd), and finally removing of fouling scale by chemical descaling. The prevention of fouling scale formation is performed by separation of soluble and suspended solid and utilization of chemical inhibitor before evaporation operation. The monitoring of fouling factor is performed during evaporation operation by reading the operating parameter of evaporation on the control panel i.e. mass flow rate of heating steam, mass flow rate of liquid waste, the input and output of steam temperature, and the input and output of liquid waste temperature. The energy for evaporation can be calculated, than the clean and dirty overall heat transfer coefficient can be calculated, so the fouling factor can be obtain. The removing of fouling scale or descaling process is performed by immersion of evaporator circuits using nitric acid solution of 10% weight concentration, and by mechanical brushing during maintenance activity. The prevention, monitoring, and removing of scale fouling on the operation of evaporator is described on the paper.

OPTIMIZATION OF A NEW CONFIGURATION OF POWER TRI-GENERATION CYCLE BY THE USE OF A MULTI-PURPOSE GENETIC ALGORITHM

In the current study, a new configuration of power tri-generation cycle was suggested. In this cycle, the energy of hot gases output from the gas cycle in the heat recovery steam generator (HRSG), and the waste energy of the condenser in the steam cycle were recovered in the Organic Rankine Cycle (ORC). After the energy, exergy, and economic modeling of the cycle, the optimization of this cycle by the use of multipurpose genetic algorithm was performed. The objective functions were the electricity cost and the second law efficiency of thermodynamics. The variables chosen for optimization were the air to fuel molar ratio, the compression, and expansion ratio of the compressor and turbine of the gas cycle, the mass flow rate of water steam and refrigerant in steam cycles and ORC, the Pinch points between the gas cycle and steam, and steam cycles and ORC, and the maximum temperatures of the steam and ORC cycles. The optimization results showed that by choosing the optimal values of variables, the efficiency of the first and second thermodynamic laws, and the produced entropy would be 67.3%, 68.9%, and 3342.5 kW/K. Also, the generated electricity cost was reduced to 0.049 US$/kWh.

Energy Loss Analysis at the Gland Seals of a Marine Turbo-Generator Steam Turbine

The paper presents an analysis of marine Turbo-Generator Steam Turbine (TGST) energy losses at turbine gland seals. The analyzed TGST is one of two identical Turbo-Generator Steam Turbines mounted in the steam propulsion plant of a commercial LNG carrier. Research is based on the TGST measurement data obtained during exploitation at three different loads. The turbine front gland seal is the most important element which defines TGST operating parameters, energy losses and energy efficiencies. The front gland seal should have as many chambers as possible in order to minimize the leaked steam mass flow rate, which will result in a turbine energy losses’ decrease and in an increase in energy efficiency. The steam mass flow rate leakage through the TGST rear gland seal has a low or negligible influence on turbine operating parameters, energy losses and energy efficiencies. The highest turbine energy efficiencies are noted at a high load – on which TGST operation is preferable.

Optimization of Continuous Solid-State Distillation Process for Cost-Effective Bioethanol Production

To improve the efficiency of bioethanol production, an advanced process was required to extract ethanol from solid-state fermented feedstock. With regard to the characteristics of no fluidity of solid biomass, a continuous solid-state distillation (CSSD) column was designed with a proprietary rotary baffle structure and discharging system. To optimize the operation condition, fermented sweet sorghum bagasse was prepared as feedstock for a batch distillation experiment. The whole distillation time was divided into heating and extracting period which was influenced by loading height and steam flow rate simultaneously. A total of 16 experiments at four loading height and four steam flow rate levels were conducted, respectively. Referring to packing, rectifying column, mass, and heat transfer models of the solid-state distillation heating process were established on the basis of analyzing the size distribution of sweet sorghum bagasse. The specific heat capacity and thermal conductivity value of fermented sweet sorghum bagasse were tested and served to calculate the ethanol yielding point and concentration distribution in the packing. The extracting process is described as the ethanol desorption from porous media absorbent and the pseudo-first-order desorption dynamic model was verified by an experiment. Benefit (profit/time) was applied as objective function and solved by successive quadratic programming. The optimal solution of 398 mm loading height and 8.47 m3/h steam flow rate were obtained to guide a 4 m in diameter column design. One heating and two extracting trays with 400 mm effective height were stacked up in an industrial CSSD column. The steam mass flow rate of 0.5 t/h was determined in each tray and further optimized to half the amount on the third tray based on desorption equation.

Data-Driven Air-Cooled Condenser Performance Assessment: Model and Input Variable Selection Comparison

This paper presents a data–driven model for the estimation of the performance of an aircooled steam condenser (ACC) with the aim to develop an efficient online monitoring, summarized by the condenser pressure (or vacuum) as Key Performance Indicator. The estimation of the ACC performance model was based on different dataset from three different combined cycle power plants with a gross power of above 380 MWe each, focusing on stationary condition of the steam turbine. The datasets include both boundary (e.g. Ambient Temperature, Wind Speed) and operative parameters (e.g. steam mass flow rate, Steam turbine power, electrical load of the ACC fans) acquired from the power plants and some derived variable as the incondensable fraction, which calculation is here proposed as additional parameter. After a preliminary sensitivity analysis on data correlation, the paper focuses on the evaluation of different ACC Condenser models: Semi-Empirical model is described trough curves typically based on steam mass flow rate (or condenser load) and the ambient temperature as main parameters. Since monitoring based on ACC design curves Semi-Empirical models, provides biased poor results, with an error of about 15%, the curves parameters were estimated basing on training data set. Other two data driven models were presented, basing on a neural network modelling and multi linear regression technique and compared on the base of the reduced number of input at first and then including aldo the other process variables in the prediction of the condenser back pressure. Estimate the parameters of the Semi-Empirical model, results in a better prediction if just steam mass flow rate and ambient temperature are available, with an error of the 7%, thanks to the knowledge contained within the “curves shapes”, with respect to linear regression (8.3%) and Neural Network models (7.6%). Higher accuracy can be then obtained by considering a larger number of operative parameters and exploiting more complex data-driven model. With a higher number of features, the neural network model has proved a higher accuracy than the linear regression model. In fact, the mean percentage error of the NN model (2.6%), in all plant operating conditions, is slightly lower than the error of the linear regression model, but presents and much lower than the mean error of the Semi-Empirical model thanks to the additional data-based knowledge.

Performance Prediction and Interpretation of a Refuse Plastic Fuel Fired Boiler

In order to cater to the energy requirement in the form of steam at a reasonable cost, the process industries are relying on the waste incineration plants by engaging themselves through industry symbiosis. However, before the establishment of industrial symbiosis, it is very crucial to monitor and predict the operational performance of the boiler used in the waste incineration plants. The existing works focus on using Artificial Neural Networks (ANNs) for prediction of the performance of the boiler in terms of pressure, temperature, and mass flow rate of steam using the input parameters viz. feed water temperature, feed water pressure, incinerator exit temperature and conveyor speed. However, the problem with this approach is that shallow ANNs cannot model the complex mathematical non-linear relationships so precisely. In addition, ANNs are not interpretable which makes stakeholders apprehensive to use these networks in production. In this paper, we address these drawbacks of ANNs by modeling the complex relationship governing the boiler performance by using a set of machine learning and deep learning models. Also, the research paper introduces multiple techniques like feature importance, Partial Dependence Plots(PDP) plots etc. which interpret the reason behind the model's output to make it more reliable for the stakeholders. It has been empirically shown that the new Machine Learning and Deep Learning models performed better than the ANNs for predicting the boiler performance. The Random Forest model made a Mean Absolute Percentage Error (MAPE) of 1.12 and LSTMs had a MAPE of 1.14 in the prediction of steam temperature C <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">o</sup> which is a significant improvement in comparison to the original ANN model which had a MAPE of 6.93. In the case of the predictions for steam pressure kgf /cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> the MAPE for the Random Forest model and LSTM was 5.54 and 4.21 respectively as compared to ANNs MAPE of 1.49. Similarly for steam mass flow rate(t/h), the MAPE was improved to 15.6 and 9.63 by Random Forest Model and LSTM respectively, which was originally 18.77 for ANN based model. These results clearly show that LSTM based models outperformed ANNs and Random Forests in terms of prediction accuracy.

Steam reheater with helical tube bundle for wet steam turbine

Since steam heat exchangers, used at steam cycle of Russian nuclear power stations, were designed while the knowledge about the separation and the heat exchange processes was limited, deviations between its empirical and theoretical characteristics occur. This limitation also determined application of heating pipes with simple straight shape rather than curved. This study explores a steam heat exchanger with helical heating pipes. It was shown that the model may work stably within the range of parameters, simulating work conditions of the moisture separator and steam reheater at Leningrad nuclear power plant. The experiment included processing of pure water steam as well as mixture of steam and nitrogen. It was obtained a relationship between empirical the heat transfer coefficient and the steam mass flow rate. It was noted that presence of incondensable gas does not affect significantly the heat transfer from the coils, processing high pressure steam.

Experimental study on effect of system pressure on two-phase flow pressure drop at sub-atmospheric conditions

The objective of the present work is to study two phase flow pressure drop in a helically coiled once through steam generator under sub-atmospheric conditions. Literature survey on two-phase flow pressure drop in a helical coil reveals that most of the research articles correspond to studies under high pressure and only few data are available for sub-atmospheric pressure conditions. In this study, an experimental investigation is carried out for a helically coiled tube of tube diameter 9.5 mm, coil diameter 282.7 mm and tube length 5330 mm. System is operated at sub-atmospheric pressure of 150 mbar and atmospheric pressure, respectively. Water and/or steam mass flow rate through the steam generator are taken at 36 kg/h, 54 kg/h and 72 kg/h. A 50 kW capacity DC power supply is used to supply required heat for steam generation. Experiment is carried out for power input ranging from 10 kW to 30 kW. The steam quality at helical coil exit is kept near to 0.5 and hence the power input is decided by amount of heat required to convert liquid water at inlet temperature to saturated vapour-liquid mixture with vapour quality of 0.5. The liquid to steam density ratio ranges from 7500 to 16000. In this study it is observed that the pressure drop at sub-atmospheric pressure is high as compared to atmospheric pressure.

Experimental investigation on pressure oscillation induced by steam lateral injection into water flow in a horizontal pipe

Pressure oscillation induced by steam lateral injection into water flow in a horizontal pipe was investigated experimentally. The pressure oscillation signals were obtained by four dynamic pressure transmitters. Six typical pressure oscillation waveforms were observed, which can be classified into two types: pulse oscillation and continuous oscillation. The characteristics of six typical oscillation probability density function (PDF) are described, which are highly correlated with the types of pressure oscillation. Based on PDF, the effects of steam mass flow rate, subcooled water flow rate and temperature on the amplitude of pressure oscillation distribution were analyzed. Furthermore, the first and second dominant frequency were obtained through the fast Fourier transform (FFT). The pressure oscillations at different measurement points were found to have the same first dominant frequency. The first dominant frequency increases and then decreases gradually with the rising of subcooled water temperature at the low steam mass flow rate. While the first dominant frequency decreases with the increasing of subcooled water temperature at high the mass flow rate. In addition, when subcooled water temperature higher than 60 ℃, the first dominant frequency was found that it increases with the rising of subcooled water flow rate and decreases with the increasing of subcooled water temperature.

Dynamic simulation and techno-economic analysis of a concentrated solar power (CSP) plant hybridized with both thermal energy storage and natural gas

The addition of thermal energy storage and natural gas as a complementary energy source improves the flexibility, reliability, and value of concentrated solar power (CSP) plants. Nevertheless, due to the transient nature of solar energy, transitions from solar-only mode and natural-gas mode to hybrid solar-natural gas mode is quite challenging, especially when the plant is equipped with thermal storage. Thus, it is important to develop proper dynamic modeling and control schemes to accurately simulate such transitions. The objective of this study is to address this subject by demonstrating a dynamic model with reliable control schemes for a highly integrated hybrid parabolic trough-natural gas plant equipped with thermal energy storage. The specific goal is to study the dynamics of adding thermal storage to the hybrid plant. It is found that the developed control schemes assist smooth transitions between different operational modes and effective utilization of thermal storage and natural gas to maintain steady power production and steam mass flow rates under different solar conditions. The results demonstrate that the integration of storage regulates power production by solar energy and natural gas during the day time. It also enables an increase in the solar fraction of the hybrid plant while it causes a small decrease in thermodynamic efficiency. The analysis shows that the hybrid plant with the storage has a substantially lower specific CO2 emission (0.320 tonne/MWh) than single natural gas plant (0.413 tonne/MWh) although it has a higher levelized cost of electricity ($86.32/MWh against $74.92/MWh). The hybrid plant with storage demonstrates a promising potential for reliable and clean production of electricity, although research and development should be conducted to lower its cost.

Plasma Gasification With Municipal Solid Waste As A Method Of Energy Self Sustained For Better Urban Built Environment: Modeling and Simulation

The plasma gasification method is known as a new technology to produce hydrogen from MSW as a fuel for power generation. Recently, it has become a crucial issue due to the rapid increasing amount of waste, along with the increasingly national population in Indonesia. The goal of waste management is as a material recovery (MR), as an energy recovery (ER) and minimizing the environment impact. The plasma gasification modeling was developed based on plasma torch technology to estimate the syngas composition and energy potential. The process simulation is optimized for mixed steam and air as a gasifying agent. This study is to obtain the essential parameter to have the better content of H2 in the syngas, better plant efficiency and lowest CO2 emission for developing urban built environment with lesser greenhouse gases (GHG). Result shows that, the ratio of Steam to Waste: 0.08 %, the air mass flow rate: 1.11*10−3 kg/s and the steam mass flow rate: 01.11*10−4 kg/s gain the highest molar fraction of H2 : 32.09%, Syngas Yield : 1.28 Nm3/kg, Carbon Conversion Efficiency : 5.83%, Cold Gasification Efficiency : 77.96% and the CO2 emission : 2.23*10−4 kg/s.

Parametric study of the evaporation rate in the presence of an airflow

The present work consists of determining the rate of evaporation through a porous and permeable flat wall surface in the presence of a laminar flow of dry air. We propose a numerical analysis of the mass transfer in the gaseous phase whose physical properties are variable. A parametric study of the different influences on the mass flow rate of steam is carried out. The mathematical formulation of this problem is based on the coupled equations of the dynamic field, temperature, and mass fraction of the vapor. The system of equations with the boundary conditions and the interface is solved through the finite volume method.

Heat transfer characteristics of in-tube steam condensation process under stratified flow

For stratified flow condensation process, the heat transfer mechanisms in the film condensation zone above the vapour-liquid interface and the condensate zone below the interface shows significant differences. In the multi-effect evaporation device, due to the high sensitivity of the thermal performance to the variation of the heat transfer parameters, the heat transfer parameters distributions in the film condensation zone and in the condensate zone are worth exploring. In this paper, a validated distributed parameter model was established to simulate the heat transfer and flow process in a single tube of the falling film evaporator. The variation of the heat flux in the condensate zone was presented under various operating conditions. The concept of the effective tube length and the partition map of the in-tube condensation heat transfer process were proposed for the better understanding of the flow and heat transfer process. Results show that the heat transfer in the condensate zone to the total heat transfer can accounts for more than 10% of the total heat transfer, thus cannot be neglected. For the design of falling film evaporator, the condensation heat transfer process in the tube should be located in the high-efficiency heat transfer section. The steam mass flow rate, heat transfer temperature difference and the length of the heat transfer tube should matched to each other to guarantee the condensation heat transfer process be located in the high-efficiency heat transfer zone.

Solar aided power generation: A review

Abstract Solar Aided Power Generation (SAPG) is the most efficient and economic ways to hybridise solar thermal energy and a fossil fuel fired regenerative Rankine cycle (RRC) power plant for power generation purpose. In such an SAPG plant, the solar thermal energy is used to displace the extraction steam by preheating the feedwater to the boiler. The displaced/saved extraction steam can, therefore, expand further in the steam turbine to generate power. The research and development of the SAPG technology started in the 1990s. This paper is trying to reviews and summarises the progress of research and development of the SAPG plant technology in last almost 30 or so years, including the technical and economic advantages of SAPG over other solar thermal power generation technologies (e.g. solar alone power generation), various modelling techniques used to simulate SAPG perforamnce, impacts of SAPG plant's configuration, size of solar field and strategies to adjust mass flow rate of extraction steam on the plant perforamnce, exergy analysis of SAPG plant and operation strategies to maximise plant's economic returns etc. In addition, the directions for future R& D about SAPG technology have been pointed/proposed in this paper.

Studying the diesel flame structure in superheated water vapor jets by using IR thermography

The use of water and water vapor in fuel combustion positively affects both environment parameters and the device stability. This is effective in the disposal of low-grade liquid hydrocarbons. The work is devoted to the experimental study of thermal characteristics of flame (effective emissivity and temperature) during the combustion of liquid fuel sprayed by a superheated steam jet, which is to supplement information on the steam effect on key parameters of fuel combustion. The measurements were carried out in a new burner at different operating parameters (fuel and steam mass flow rates and steam temperatures). During the first step of the research, high-quality liquid hydrocarbon (diesel fuel) is chosen, which is usually used in burners. In the study, we used a JADE J530SB FLIR thermal imaging camera and a type B platinum-rhodium-platinum-rhodium thermocouple. Instantaneous and average temperature fields were obtained; the peak flame temperature attained 1440 °C. It is found that the effective emissivity value (ε = 0.3 ÷ 0.4) depends on the steam and fuel flow rate that is connected with the completeness of fuel combustion and soot concentration in the flame. An increase in the steam flow rate decreases the flame temperature by more than 200 °C, which prevents the formation of thermal nitrogen oxides. The thermal imaging measurements well agree with thermocouple data (within 9%).

Diesel fuel combustion in a direct-flow evaporative burner with superheated steam supply

A method of liquid hydrocarbon combustion in a new evaporative burner with a controlled forced supply of superheated steam jet into the reaction zone was experimentally studied in this paper using diesel fuel. For the first time, dependences of the flame temperature and thermal and environmental characteristics on the steam flow rate and overheating were obtained. The boundaries of characteristic combustion regimes were determined. During fuel combustion in a superheated steam jet, the concentrations of nitrogen oxide and carbon monoxide in the combustion products are significantly lower than the maximum permissible concentrations established for this type of burner device, according to EN 267: 0–5 ppm for CO and 25–50 ppm for NOx. The relative steam mass flow rate, in contrast to the steam temperature, substantially influences the main characteristics of the combustion process. Maximum heat release 45 MJ/kg is achieved in a system in which the steam mass flow rate equals half of the fuel mass flow rate. The new combustion method ensures high-energy efficiency and environmental safety and may be used in the development of technologies for the disposal of nonstandard liquid hydrocarbon fuels and industrial wastes with simultaneous heat energy production.