Stream Energy Research Articles

An ensemble neural network model for predicting the energy utility in individual houses

With the rapid increase in the world's human population and the advancement of technology, energy utilization has substantially increased. To sustain a stable stream of energy, it is vital to anticipate power utilization beforehand. This issue makes predicting short-term electrical time series use difficult. In this research, the user proposed a neural network with a deep learning prototype that performs energy prediction by combining. Long Short-Term Memory (LSTM) and Feed Forward Neural Networks (FFNN). In order to enhance the performance, the ensemble FFNN-LSTM network and the Stationary Wavelet Transform (SWT) method are combined to create a hybrid deep learning algorithm. The SWT's reduction of instability and expansion of data dimensionality may improve the FFNN-LSTM forecasting accuracy. The suggested technique's predicting effectiveness is even further improved by the ensemble Long short-term neural network. On the basis of a real-world household energy usage database gathered by the "UK-DALE" project, validation studies were carried out. Researchers determined that the LSTM-FFNN based SWT produced a better result in terms of accuracy and energy utilization than other existing results after contrasting the experimental findings to the baseline, which is the conventional LSTM and Moving Average (MA) based upon the Root Mean Squared Error (RMSE) score.

Enhancing Efficiency and Reliability of Tidal Stream Energy Conversion through Swept-Blade Design

The current limited efficiency and reliability of tidal current turbines (TCTs) have posed significant challenges in effectively harnessing tidal stream energy. To address this issue, this paper undertakes both numerical and experimental studies to explore the advantages of swept blades over conventional straight blades in terms of energy capture efficiency and cavitation resistance. It is found that both the sweep length and sweep angle of the blade can influence the power generation efficiency of the TCT. For the particular swept blade investigated in this study, the highest power coefficient is achieved when the sweep length is 0.544 m and the sweep angle is 28.88°. The research also demonstrated that the swept-blade TCT shows a higher power generation efficiency than the straight-blade TCT across a broad range of rotor speeds. To be precise, with the swept blades, the power coefficient of the TCT can be improved by 5–17%, depending on the tip speed ratio. Additionally, swept blades exhibit a superior cavitation resistance. This is evidenced by their higher cavitation numbers across all tip speed ratios in comparison to conventional straight blades.

Propán-propilén elegy elválasztásának vizsgálata VRC rendszerrel

In this study a propane-propylene separation is investigated with traditional distillation column and with vapor recompression column (VRC). It is a very energy-intensive process, mainly because the boiling points of the components differ only slightly. The systems with the same parameters of the feed are investigated with Unisim Design® process simulation software with SRK equation of state. The results show that in case of the traditional and VRC system the quality and quantity of the products are the similar, but the energy stream of the VRC system is much lower than the traditional column’s. During the study not only the energy consumption but also the costs of the utility streams are calculated. The traditional distillation column includes a reboiler and a condenser, while the VRC system has energy streams from a compressor and a condenser. The calculation results show that the cost of the utility streams used in the VRC system is 15.5% of the costs of the utility streams in the conventional system.

Holistic Assessment of Decarbonization Pathways of Energy-Intensive Industries Based on Exergy Analysis

The decarbonization of the industrial sector plays a crucial role in a successful energy transition. This transformation is very costly and complex, as many of the existing production processes and plants will have to be partially or completely replaced to reduce carbon dioxide (CO2) emissions. This raises questions about how significant reductions in CO2 emissions resulting from decarbonization will affect the use of resources to produce a certain product and the overall value of sustainability. This article considers the relationship between CO2 reduction and the impact on the resource efficiency of an industrial production process. For this purpose, a methodology was developed that holistically assesses the decarbonization pathway of an industrial sector. This holistic assessment takes into account the energy carriers, raw materials, and auxiliary and construction materials used for the operation and building of the significant plant components and summarizes them as a total use of resources. For this purpose, the use of resources is represented by the thermodynamic quantity exergy, which takes into account both the energy and material components of a production process. The energy and material streams in a production process are balanced by applying exergetic analysis. This methodology is used for current state-of-the-art and future decarbonized production processes in order to quantify the effects of the decarbonization process. By comparing the calculated resource efficiencies, the thermodynamic impact on the sustainability of decarbonization paths can be set in relation to the amount of CO2 saved. For validation, the developed methodology is applied to a conventional and a decarbonized ammonia production process. The conventional production route represents the production of ammonia by methane steam reforming, and the decarbonized production route is represented by synthesis gas production via water electrolysis and an air separation unit. The resource efficiency of the conventional ammonia production route, taking into account the energy sources, raw materials, construction materials, and auxiliary materials used, is 59%, producing a total of 1539 kg of CO2 emissions per ton of ammonia. The decarbonized process has a resource efficiency of 45%, while no CO2 emissions are produced in this manufacturing process. This means that the decarbonization of the production process reduces resource efficiency by 14%. In relation to the reduced amount of CO2, specific resource efficiency decreases by 9.09%/tCO2. The decline in resource efficiency is mainly due to the high level of heat and energy recovery in the conventional process and the very electricity-intensive hydrogen production in the decarbonized production process.

Use of Topical Gaseous Nitric Oxide/Plasma Energy in the Treatment of Recalcitrant Wounds.

Nitric oxide (NO) is involved in many biological functions and has been demonstrated to be important in wound healing. When delivered to a wound in its gaseous state, NO stimulates vasodilatation and angiogenesis, inhibits platelet and erythrocyte aggregation, reduces leukocyte adhesion, and is an important anti-inflammatory and antimicrobial agent. Many patients with chronic and hard-to-heal wounds have a deficiency of NO in their tissues ,which may contribute to slow and even arrested healing. However, it has been difficult to use NO for treatment because of its short half-life, which is measured in seconds. A recently developed device provides a way to generate NO and combine it with a stream of plasma energy, which extends its half-life to the point that it can provide a clinical effect. This device creates NO from the ambient air, and no other gases are needed. The combination of atmospheric oxygen and nitrogen at a high temperature generated by an electric arc results in NO and plasma energy (N2 + O2 = 2NO + 181 KJ energy). After generation, the NO/plasma energy-containing gas flow is cooled to 18-20°C, and NO is delivered to the tissues in a "dose" between 800 and 1000 ppm. When NO gas was combined with the plasma energy stream, the NO was found to penetrate intact skin or tissue up to 3cm to treat an underlying problem. Studies have shown that NO/plasma energy therapy promotes healing. This report summarizes current applications of this unique approach in the treatment of chronic, hard-to-heal and infected wounds.

Is waste heat recovery a promising avenue for the Carnot battery? Techno-economic optimisation of an electric booster-assisted Carnot battery integrated into different data centres

The transition to intermittent renewable energies will necessitate the integration of storage. An interesting technology is the Carnot battery (CB), a novel power-to-heat-to-power system, capable of harnessing waste energy streams. While initial studies have indicated that, under ideal conditions, CB can be competitive with conventional technologies such as chemical batteries, their economic viability in real-world applications remains uncertain. To fill this gap, this work explores the techno-economic potential of electric booster-assisted CB integrated within data centres. Motivation for this case study is the recovery of waste heat, leading to an improved electrical storage efficiency. To maximise the energy self-sufficiency and the internal rate of return, we have applied multi-criteria optimisation to the system design, under three different thermal integration scenarios and for two sets of climatic conditions, using a thermodynamic model and time series from a real data centre. Our analyses suggest that current projections for electricity prices and CB costs yield payback periods exceeding a decade, but that these could fall below ten years if the CB capital costs were halved. Furthermore, it turns out that the choice of optimum charging system (i.e. right balance between heat pump and electrical heater) is contingent on the heat source temperature and availability. For higher temperatures (e.g. 60 °C), heat pumps emerge as the financially most attractive option, thanks to their superior coefficient of performance, whereas for lower temperatures (< 25 °C), resistive heaters are preferable. Results also show that when the aim is to increase the energy self-sufficiency, there exist an efficiency/charging capacity trade-off, which causes a dilemma for the system design. On the one hand, heat pumps are vital to increase the efficiency of the CB, but on the other hand, as the amount of thermal energy available at its source is limited by the data centre operations, electrical boosters are indispensable to increase the charging capacity. To soften this dilemma and enhance the techno-economic performance of thermally integrated CB, future research should explore more efficient booster configurations, such as dual heat source heat pumps.

Fuel Cell Electric Vehicle Characterisation under Laboratory and In‐use Operation

Fuel Cell Electric Vehicles (FCEVs) are one of the main options considered as possible future alternatives to conventional vehicles. The paper evaluates a light-duty FCEV under both laboratory and on-road conditions. Hydrogen consumption and vehicle efficiency were measured over various driving and temperature conditions. Results show hydrogen consumption between 0.975 kg/100 km and 1.5 kg/100 km, close to the officially declared value. A new extended formulation of vehicle efficiency is proposed to consider different energy streams in the vehicle. Vehicle indicative efficiency remained between 50% and 60% on the majority of cases. The paper also investigates the feasibility of applying a fuel cell system of similar characteristics for commercial urban and rural applications, the Vehicle Energy Consumption Calculation TOol (VECTO), as a possible alternative solution to a battery electric equivalent vehicle.

Planning Analysis of the Utilization of Ocean Currents as a Power Plant Using Gorlov Turbines in the Botang Lomang District, South Halmahera Regency

Electrical energy is a basic need of the community and supports aspects of national life and development, including improving living standards. Indonesia actually has the potential for new renewable energy sources in large quantities. Ocean current energy is one of the renewable energy whose existence is continuous and environmentally friendly. One of the potential energy of ocean currents is in the Botang Lomang District Area. This study aims to determine the amount of power generated from the potential of ocean currents. The minimum average speed at a depth of 10 meters is (0.21 m/s) and the maximum is (1.26 m/s). And the minimum average speed at a depth of 20 meters is (0.28 m/s) and maximum (1.67 m/s). The power obtained from the minimum and maximum ocean current speeds at a depth of 10 meters is 252 Watts to 54.654 kW. While the power obtained from the minimum and maximum sea current speeds at a depth of 20 meters is 599 Watts to 127,252 kW.

Comparability of Outputs between Traditional and Simulation-Based Approaches to Collision Risk Modelling

Tidal stream energy is a predictable renewable energy source; however, environmental consent of developments remains a key barrier to the expansion of this industry. Uncertainty around collision risk, i.e., the risk of animals colliding with a tidal device, remains a major barrier to consent. Collision risk models are used in environmental impact assessments. Common collision risk models, like the Encounter Rate and Band Models, have limitations in accommodating new device designs and flexibility. To address this, a simulation-based approach was developed. To provide confidence in its use, it is important that the simulation-based approach is compared against the Band model and the Encounter rate model, which have been regularly used in the UK. Here, we compared collision risk estimates from the three models under the same exact conditions and one alternative condition. The results of the main scenario (where all conditions were the same) showed that the three models produced comparable results with &lt;6% difference across all models. However, for the alternative scenario, the simulation-based approach produced a result three times higher compared to other models, which could not account for a vertical approach angle. These findings provide confidence in the simulation-based approach whilst also outlining the importance of selecting an appropriate collision risk model, tailored to the specific assessment scenario. Improved understanding and application of such models hold the key to more accurate risk evaluations in environmental impact assessments, thus facilitating the sustainable development of the tidal energy industry.

Sensitivity of turbulence parameters to tidal energy converter loads in BEM simulations

Renewable energy is playing an increasingly central role in the global energy supply due to decarbonisation and energy security aims. A vital aspect of renewable energy systems will be the predictability of the energy source, something that tidal stream energy can provide. The tidal sites suitable for energy extraction are by their nature turbulent, creating variations in the tidal energy converter (TEC) loads and affecting device durability. Developers use Blade Element Momentum (BEM) models to predict loading and improve designs of TECs. To simulate turbulence effects within these models, a synthetic flow field is generated using a combination of measured and assumed parameters. Inaccuracies in these parameters can lead to uncertainties in the simulated loads. This study investigates the sensitivity of turbulence characteristics to loads using a commercial BEM software. Variability in parameters shows a profound impact on the loads. Varying turbulence intensity resulted in a 90%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$90\\%$$\\end{document} change in fatigue loads for intensities ranging 2–24%. Length-scales showed a 49%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$49\\%$$\\end{document} decrease in loads across the range tested (5–70 m). A coherent flow field increased loads by 45%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$45\\%$$\\end{document} compared to a non-coherent flow. Hub-bending loads varied by 30%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$30\\%$$\\end{document} between different shear profiles, however varying the standard deviation profiles did not show notable effects. The results from this study emphasise the necessity for accurate turbulence parameter inputs to reduce uncertainty in device load modelling. It also highlights the importance of using realistic shear profiles as well as appropriate coherence models.

Conceptual design and experimental study of a flexible oscillating hydrokinetic turbine

Harnessing the energy of deep ocean currents to power deep-sea observation equipment has emerged as a significant focus in recent years. Given the extremely low flow speeds in the deep sea, hydrokinetic turbines need to demonstrate reliable self-starting ability. A novel flexible oscillating hydrokinetic turbine is proposed in the present study to address this challenge. The advantage of the flexible oscillating hydrokinetic turbine lies in the ability to adjust the posture of the flexible blades to create optimal attack angles at different positions. Particle Image Velocimetry measurements are employed to reveal the internal flow field. The results indicate that the incoming flow through the turbine cavity induces two substantial deflections in the inflow and outflow regions, contributing to the generation of significant positive torque. The flexible blades can achieve suitable attack angles at various positions as per the expectations. Especially in the downstream region, the blades adopt a diversion state, thereby avoiding the generation of excessive negative torque. The parametric study was conducted through a water flume and a dynamic testing platform. The results indicate that when the number of blades is six and the installation angle of the blade frame is 20°, the power coefficient of the flexible oscillating hydrokinetic turbine reaches its maximum, exceeding 0.18. A full-process interdisciplinary simulation platform test showed that a flexible oscillating hydrokinetic turbine with a radius of 1 m can self-start in conditions as low as 0.1 m/s. At a flow speed of 0.5 m/s, the turbine can generate over 900 Wh of power per day, enough to power sensors or support an Autonomous Underwater Vehicle’s monthly cruise.

A numerical study supplemented with theoretical analysis on streaming potential in a soft nanochannel influenced by ion partitioning and mobile surface charge-dependent wall slip

We consider the pressure-driven flow of an electrolyte in a soft channel with a hydrophobic charged surface coated with a diffuse polyelectrolyte layer (PEL) with constant volumetric charge density. The objectives are to enhance the streaming potential and electrochemical energy conversion efficiency in the modulated soft channel as well as to examine the influence of surface charge mobility-dependent slip velocity on the electrokinetics. The laterally mobile adsorbed surface charge modifies the slip velocity condition, which is coupled with the induced streaming potential. The ion partitioning effect arises due to the step change in dielectric constant between the PEL and the electrolyte that modifies the distribution of ions, which is incorporated through the Born energy difference of ions. The nonlinear coupled set of equations governing the electrokinetics in a soft channel is solved numerically through a control volume approach. A simplified model based on the Debye–Hückel approximation under certain limiting conditions is also derived, which compares well with the present numerical model for a lower range of charge density and non-overlapping Debye layers. We find that a modulation of a nanochannel by coating a PEL of lower dielectric constant on hydrophobic charged walls can significantly enhance the streaming current and energy conversion efficiency. In contrast with existing studies, we find that the mobile surface charge can have a positive impact on the electrochemical energy conversion efficiency in a soft nanochannel. The mobility of the surface charge attenuates the streaming current in a PEL-free channel and can enhance the streaming current for a suitable choice of PEL volumetric charge density.

Novel ASU–LAES system with flexible energy release: Analysis of cycle performance, economics, and peak shaving advantages

This study uses a cryogenic distillation method air separation unit (ASU) coupled with liquid air energy storage (LAES) to improve the round-trip efficiency and reduce the initial investment of LAES. We propose an integrated system (ASU–LAES–DER) with different ways of energy release. In the novel system, the liquid air can be reheated and expanded to produce additional power, or the liquid air energy stream and part of the material stream can be used for ASU distillation to produce power saving effects. This novel integration allows the ASU to have load regulation capability and facilitates the implementation of demand-side power management. Furthermore, the flexible and efficient energy release methods improve the energy efficiency and economic value of LAES. The comprehensive round-trip efficiency of the system can reach 52.1%–69.2 % with a payback period of 3.25–6.72 years. The peaking index is used to analyze the peak-to-valley load transfer capability of the novel system. Results show that the peaking index ranges from 25.5 MW to 50.1 MW at different scales, indicating that the system can be used as an important grid peaking unit when applied on a large scale.

A Probabilistic Methodology for Determining Collision Risk of Marine Animals with Tidal Energy Turbines

Commercial development of tidal stream energy is hampered by technical and financial challenges, and impeded by uncertainty about potential environmental effects that drive environmental risk assessments and permitting (consenting) processes. The effect of greatest concern for operational tidal stream energy devices is the potential for marine animals to collide with turbine blades, resulting in injury or death. Due to the turbulent and often turbid waters that frequently characterize tidal turbine sites, there is an absence of empirical evidence about collisions with marine animals. This paucity of observations often leads to risk-averse permitting decisions that further restrict the deployment of tidal energy devices that are needed to collect this evidence. This paper relies on the framework of stressors and receptors that is widely used in marine energy studies and outlines a stepwise probabilistic methodology that applies existing knowledge to further elucidate the risk to marine animals from operational tidal turbines. A case study using striped bass from the Bay of Fundy, Canada, accompanies the methodology, to partially demonstrate its application.

Modelling the impacts of a large marine turbine array in the Cozumel Channel

Ocean renewable energies are a promising alternative to meet the growing energy demand. Due to the intense, persistent and relatively constant unidirectional flow, the Cozumel Channel (CC) in the Caribbean Sea is considered one of the most favorable global sites for the potential exploitation of ocean current energy. In this paper we use the Regional Ocean Modelling System (ROMS) to simulate the effects of a large number of individual turbines (5277) on the marine environment at a regional scale. A couple of two-way nested grids were used to extend the horizontal resolution from 30 m to ∼3600 m. The impacts of the turbines on circulation, water temperature, sea surface high (SSH), sediment transport and upwelling events, were analyzed. An improved estimate of the average power generated was also performed, which includes the disruption of the currents by the turbines. The results suggest that the installation of a large number of marine turbines would cause severe flow disturbances in the CC and neighboring regions, changing several aspects of the ecosystem. While the number and characteristics of the marine turbines might seem excessive, this study could serve as a benchmark to determine thresholds in the size of future turbine farms in the region.

Determining the optimal biomass-gasification-based fuel cell trigeneration system in exergy-based cost and carbon footprint method considering energy level

The accompanying exergy-cost-carbon nexus in trigeneration systems brings challenges to distinguishing the formation mechanisms of costs and carbon footprints of power, cold, and heat. In this paper, a fuel cell trigeneration system based on biomass gasification is constructed, and seven optional system configurations are designed according to the waste heat utilization methods including organic Rankine cycle, absorption cycle, and heat exchange. A novel exergy-based cost and carbon footprint model based on the energy levels of energy streams is proposed to obtain the allocation rules of multiple products of the trigeneration system, in which carbon cost with exergy cost is integrated into the exergo-economic method. Using this method, the coupling relationships of exergy-cost-carbon are illustrated and the unit exergy-carbon costs and carbon footprints of electricity, cold, and heat are determined. To select the optimum configuration, a multi-criteria decision-making method, considering energetic, economic, and environmental aspects, is employed to calculate their compositive scores, in which the integrated weights of indicators combine the experts’ knowledge and opinions with the entropy information of numerical performances of alternative trigeneration configurations. The sensitivities of exergy-cost and exergy-carbon performances on operation time, carbon footprint of biomass, and interest rate are implemented to discuss their influences. The consideration of energy level increases the cost and carbon footprint of power from fuel cells by around 30%. The carbon cost of system power, chilled water, and hot water account for 5.18%, 6.89%, and 5.25% of their corresponding total exergy-carbon costs. The integration of biomass gasification, fuel cell, gas turbine, and heat exchanger achieves the best comprehensive performance.

Study of the Motion Performance of Marine Current Power Plant Turbine Floaters Due To Ocean Current Forces under Moored Conditions

Indonesia targets carbon emissions to reach 0% in 2060 and is replaced by optimizing the use of renewable energy sources. Indonesia as an archipelago country, with the potential of thousands of straits can be utilized as a source of ocean currents as a source of electrical energy. The electricity generated is obtained from a turbine rotor that rotates due to the force of the ocean current flow. To support the turbine rotor to move in the sea, a floating support structure is needed. In this study, a trimaran tipe support structure is used where on the left and right sides are installed 2 (pieces) turbine rotors @ 50 kW each, so that the total has a capability of 200 kW (@4 x 50 kW). The novelty of this study is the utilization of Trimaran technology in marine current power generation turbines, which has good stability, low resistance, and a wider deck area rather than monohull structures. A numerical study using Computational Fluid Dynamics (CFD) is used to calculate the program. The results showed that the floater only moves backward and then is pulled forward with a small amplitude of movement in the X-direction, while those on the Y and Z axes are insignificant. The turbine floater can be immediately stabilized and the turbine rotor will rotate due to the force of the ocean current received. Therefore, in this study, the marine current turbine using trimaran type is showing good ability to survive in Indonesian waters even in high current areas.

System Performance Characteristics of Darrieus Turbine with Tilted Blades in Current and Wave Conditions

Indonesia has abundant sources of renewable energy from ocean currents and waves, or a mixture of currents and waves at certain times to be used as an energy source for power plants. So at the Indonesian Hydrodynamics Laboratory, a study has been carried out to determine the performance of the Darrieus-type vertical axis turbine model to utilize the energy of ocean currents and waves. But the Darrieus Turbine with the turbine blades positioned perpendicular to the turbine axis cannot rotate if there is only wave force. Then several turbine models were made with the placement of the blades in an inclined position, to produce optimal rotor rotation in current conditions or a mixture of currents and waves. This paper describes the testing of 3 turbine models by varying the angle of inclination of the turbine blades (45°, 60°, and 75°), but still having the same turbine rotor area and giving different input currents and wave periods to produce the best efficiency and rotation in absorb current energy or a mixture of current and wave energy. The test results show that the 3 models of slanted blade turbines can absorb both wave and current energy, but turbines with 75° blade inclination produce the best performance compared to the others when exposed to currents and waves

Performance Study of a Humpback Whale Fluke Turbine on Foil Shape Variation Based on Double Multiple Streamtube Model

Exploration of ocean current energy allows for the development of turbines as the primary conversion device. Turbine technologies have been developed in various types, including bio-inspired turbines, such as the humpback whale fluke turbine. In this study, the achievement of a humpback whale fluke turbine is investigated by applying various forms of foil, both symmetric and asymmetric, to obtain the appropriate foil profile. Symmetric foils were represented by NACA 0012, NACA 0018, and NACA 0021, while asymmetric foils were represented by NACA 4312, NACA 4512, and NACA 4712 foils. Simulations were performed using QBlade software, which was developed based on the DMST theory. In general, symmetric foils have a more stable performance than asymmetric foils because they produce a better performance at positive and negative angles of attack. This result is also supported by a review of efficiency and self-starting capability where symmetric foils have significantly higher CP values and positive CQ along the azimuth angle than asymmetric foils. Finally, NACA 0021 foil is recommended for a humpback whale fluke turbine based on its efficiency and self-starting capability.

The use of quality management tools to ensure safe working conditions at CO2 laser workstations

Abstract Dynamic development of various technologies replacing existing, difficult or in various ways arduous, is the reason for replacing equipment with modern ones. New equipment may be associated with a different power supply, a different way that the construction materials are processed or the tools used, than the previous one. Then arises a need to re-examine whether the working conditions at a workplace are safe, what onerous and hazardous factors are associated with the work. An example of such a technological change could be a laser processing, when equipment using a concentrated energy stream, properly controlled, produces a specific effect on materials. However, along with the benefits of the new technology, come also many risks, such as the effects of radiation on matter and the human body, electricity, fire hazards, the problem of toxic emissions and others. This paper presents the problem of ensuring work safety at a newly commissioned CO2 laser station. Technique of brainstorming was used to identify and analyze the working conditions and types of hazards. These may be different from what was previously known, partially known, or even unconscious. Ishikawa diagram was developed and shown to be an effective tool for detailing and structuring problems in relation to safety. In the case of a technical problem, a poka-yoke solution to eliminate the hazard was proposed. Problems occurring at the workstation during machining and related to its operation were assigned, using the affinity diagram, to specific departments of the company, according to its work organization, which can significantly facilitate the management of the work and employees of the different departments in the future, in order to ensure safe and hygienic working conditions.