Chemical Plant Research Articles

A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods

Alarm floods are commonly present in modern complex industrial process, and usually degrade the performance of the alarm systems severely. In an alarm flood, the massive alarm messages may overwhelm plant operators and submerge critical alarms, which would further worsen the situation and lead to severe consequences. One effective way to deal with alarm flood situations is to mine meaningful alarm patterns that can be used to configure dynamic alarm suppression modules that suppress irrelevant alarms in alarm floods based on certain conditions or to help with online alarm prediction. Using the existing methods in literature, alarms of higher priorities could be easily overlooked in the pattern mining as they usually appear less frequent; thus, it makes the results become unreliable. Motivated by this issue, this paper proposes a new pattern mining method to extract priority-aware compact alarm patterns from historical alarm flood sequences. The main contributions of this study are twofold: (1) a priority-aware sequential pattern mining algorithm is designed to mine alarm sequential patterns using a closed sequential pattern mining algorithm with alarm priority information incorporated; (2) a pattern compression strategy is proposed to merge similar sequences into compact patterns, making it easier to search for alarm patterns. The effectiveness of the proposed pattern mining method is demonstrated by alarm data generated using a vinyl acetate monomer chemical plant model.

Comparative Exergy and Environmental Assessment of the Residual Biomass Gasification Routes for Hydrogen and Ammonia Production.

The need to reduce the dependency of chemicals on fossil fuels has recently motivated the adoption of renewable energies in those sectors. In addition, due to a growing population, the treatment and disposition of residual biomass from agricultural processes, such as sugar cane and orange bagasse, or even from human waste, such as sewage sludge, will be a challenge for the next generation. These residual biomasses can be an attractive alternative for the production of environmentally friendly fuels and make the economy more circular and efficient. However, these raw materials have been hitherto widely used as fuel for boilers or disposed of in sanitary landfills, losing their capacity to generate other by-products in addition to contributing to the emissions of gases that promote global warming. For this reason, this work analyzes and optimizes the biomass-based routes of biochemical production (namely, hydrogen and ammonia) using the gasification of residual biomasses. Moreover, the capture of biogenic CO2 aims to reduce the environmental burden, leading to negative emissions in the overall energy system. In this context, the chemical plants were designed, modeled, and simulated using Aspen plus™ software. The energy integration and optimization were performed using the OSMOSE Lua Platform. The exergy destruction, exergy efficiency, and general balance of the CO2 emissions were evaluated. As a result, the irreversibility generated by the gasification unit has a relevant influence on the exergy efficiency of the entire plant. On the other hand, an overall negative emission balance of -5.95 kgCO2/kgH2 in the hydrogen production route and -1.615 kgCO2/kgNH3 in the ammonia production route can be achieved, thus removing from the atmosphere 0.901 tCO2/tbiomass and 1.096 tCO2/tbiomass, respectively.

Characteristics of hybrid nanofluid induced by curved surface with the consequences of thermal radiation: an entropy optimization

Thermal engineering operations heavily rely on the effective thermal conductivity performance of the heat transfer fluid. Hybrid nanofluids are significant in the disciplines of engineering and technology because of their enhanced capacity for heat transfer and increased heat transfer rates. To disclose the characteristics of hybrid nanofluid flow with the consequences of thermal conductivity through a curved surface this article is considered. Through appropriate dimensionless variables, a specified nonlinear model of partial differential equations is converted into a structure of ordinary differential equations. Using the bvp4c technique, the generated governing flow equations are numerically cracked. The implications of prominent variables against the flow profile and thermal concentration are reviewed through graphs. Entropy production exhibits favorable behavior for the Brinkman number and thermal radiation while exhibiting contradictory behavior for the curvature parameter. The Bejan numbers are impacted negatively by the increased magnitude of the curvature component. To evaluate the accuracy of the current work, validation is done between the results of the current and earlier studies. The anticipated study demonstrates the significance of these hybrid nanofluids in manufacturing, chemical, and nuclear plants as well as solar and other technologies.

Correction to: The effects of combined application of chemical fertilizer, functional bacteria and plant hormones on vegetation restoration of desertification land in Zoige Plateau

Correction to: The effects of combined application of chemical fertilizer, functional bacteria and plant hormones on vegetation restoration of desertification land in Zoige Plateau

Understory junipers, and light environment effects on biomass, chemical composition, and nutrient contents of black pine seedlings

In forest environments, the establishment, survival, and recruitment of seedlings of desired species can often be influenced by biotic interactions between the competing understory shrubs and the seedlings, as well as by the understory light environment. Previous studies regarding competing effects were mostly focused on the survival and growth of seedlings, but it is still largely unclear how competition with shrubs impacts the biomass of the seedlings and physiological traits connected to photosynthesis and nitrogen metabolism in various forest ecosystems. Moreover, there is limited knowledge on the influence of light conditions on the biomass of understory seedlings is limited for different species. The main objectives of this study were to examine the effects of understory junipers and light conditions on the above and belowground biomass of black pine seedlings (Pinus nigra Arnold). This study also examined the changes in chemical composition and plant nutrient contents in the organs of black pine seedlings (i.e., root, stem, and needle) with the presence of junipers in the understory. Seedling biomass was significantly affected by understory light conditions, while the presence of junipers negatively affected the root-biomass of black pine seedlings. Moreover, understory junipers influenced some photosynthetic pigments in black pine seedlings.

Sustainable design and multi-objective optimization of heat pump assisted extractive distillation process for separating a ternary mixture of methyl acetate, tetrahydrofuran and methanol

The separation of a ternary mixture of methyl acetate (MeAc), tetrahydrofuran (THF), and methanol (MeOH) produced from chemical or pharmaceutical plants can not only recover the valuable chemicals but also reduce the environmental pollution caused by the emission of waste organics. In this study, a two-step extractive distillation process with four columns (FCED) with dimethyl sulfoxide and p-xylene serving as the entrainers was firstly proposed to separate the ternary mixture by using Aspen Plus simulation. The vapor recompression heat pump (VRHP) technology was introduced to improve the thermodynamic efficiency of the proposed FCED process. Subsequently, a multi-objective optimization using the non-dominated sorting genetic algorithm-II was employed to optimize the designed processes to accomplish a Pareto front trade-off in three crucial indicators, i.e., total annual cost (TAC), CO2 emission, and exergy efficiency. A Pareto ranking method, i.e., the technique for order of preference by similarity to ideal solutions combined with entropy weighting approach, was used to choose the best solution from the Pareto front. The results indicate that, compared to the FCED process, TAC (8-year payback period) and CO2 emissions of the VRHP-assisted FCED are reduced by 8.75% and 33.26%, respectively, while the exergy efficiency is increased by 8.06% from 3.67% to 3.96%, demonstrating that the introduction of VRHP can significantly improve the performance of the FCED process.

Model-free daily inversion of NOx emissions using TROPOMI (MCMFE-NOx) and its uncertainty: Declining regulated emissions and growth of new sources

Current approaches to estimate NOx emissions fail to account for new and small sources, biomass burning, and sources which change rapidly in time, generally don't account for measurement error, and are either based on models, or do not consider wind, chemistry, and dynamical effects. This work introduces a new, model-free analytical environment that assimilates daily TROPOMI NO2 measurements in a mass-conserving manner, to invert daily NOx emissions. This is applied over a rapidly developing and energy-consuming region of Northwest China, specifically chosen due to substantial economic and population changes, new environmental policies, large use of coal, and access to independent emissions measurements for validation, making this region representative of many rapidly developing regions found across the Global South. This technique computes a net NOx emissions gain of 118% distributed in a see-saw manner: a more than doubling of emissions in cleaner regions, chemical plants, and regions thought to be emissions-free, combined with a more than halving of emissions in city centers and at well-regulated steel and powerplants. The results allow attribution of sources, with major contributing factors computed to be increased combustion temperature, atmospheric transport, and in-situ chemical processing. Furthermore, sensitivity runs that represent the range of uncertainties in the TROPOMI NO2 retrievals themselves are performed, and it is determined that the differences between the errors in TROPOMI NO2 lead to smaller errors in the emissions estimates, due to non-linear buffering built in from the physical bounds on the underlying physical and chemical driving factors. It is also observed that errors in the priori dataset contribute more than the uncertainties in the TROPOMI retrievals, opening a new door to recursive iteration between this approach and new emissions dataset development. It is hoped that these findings will drive a new look at emissions estimation and how it is related to remotely sensed measurements and associated uncertainties, especially applied to rapidly developing regions. This is especially important for understanding the loadings and impacts of short-lived climate forcers, and provides a bridge between remotely sensed data, measurement error, and models, while allowing for further improvement of identification of new, small, and rapidly changing sources.

Accidents in Chemical & Process Industries of Bangladesh: Awareness Among People Working in Chemical & Process Plants

Chemical usage has steadily expanded in tandem with economic expansion, resulting in an increase in chemical accidents. Chemical incidents endanger lives and can cause a slew of health issues for those who live near chemical factories. The purpose of this study was to evaluate the knowledge of chemical accidents in chemical sector and awareness about the risk they pose among those working in chemical facilities and process plants. The research was conducted through survey which was composed of questionnaire regarding chemical safety and chemical accident in different chemical sectors participated by 120 people working in different chemical plants. Although the process safety has not mentioned in any kind of safety rules and regulations or acts the employee should have received the safety training to mitigate hazardous situation. The study shows that there was a lack of awareness and negligence of using PPE in most of the employees. A large number of respondents were doubtful of their plants following safety rules and regulations and also there was a negligence of following rules and regulations among the employees. Though there is eagerness to take safety training but most of the plants didn’t provide proper training to their employees. Journal of Engineering Science 14(1), 2023, 53-63

NO2 emissions from oil refineries in the Mississippi Delta

Of the >17,943 thousand barrels per calendar day (bbl/d) of oil refining capacity located in the US, the Petroleum Administration for Defense District 3 (PADD-3) region has the largest number of refineries and accounts for >53 % (or 9607 tbbl/d) of all US oil refining capacity. Processing facilities in this area are mainly located on the Gulf of Mexico coast in Texas and Louisiana. This study selected a sub-region for analysis within the Mississippi River delta in the state of Louisiana between the cities of New Orleans and Baton Rouge. This region is characterized by intensive industrial activity connected with oil refining and related activities. The TROPOspheric Monitoring Instrument (TROPOMI) detected highly localized NO2 vertical column densities (VCDs) over the two largest US refineries in Baton Rouge (503,000 bbl/d) and Garyville (578,000 bbl/d). TROPOMI NO2 VCD over these stations were 100 μmol/m2 and 80 μmol/m2, respectively. A high correlation coefficient (r = 0.65, p < 0.05) was also found between TROPOMI NO2 and population density. Data from the National Emissions Inventory (NEI) showed high NOx emissions from refineries and other industries including coal-fired power generation, chemical, and aluminum processing plants. The results of the NO2 analysis are of practical interest for a comparative assessment of air pollution, as well as for the exchange of best practices in the field of low-waste fuel combustion technologies.

Improving yield and polyphenol content of Perilla frutescens (L.) by foliar methionine application

Perilla frutescens (L.) is a popular medicinal plant cultivated primarily for its pharmacological benefits. Research has recently focused on boosting crop yield without using excessive chemical fertilizers and plant growth regulators which could harm the environment and human health. One of them, methionine, has been discovered to play a crucial role in synthesizing growth-regulating compounds and accumulating secondary compounds in some plants. This study investigated the effects of methionine concentrations (0, 50, 100 and 150 mg/L) on the growth of Perilla frutescens. Agronomic, physiological and biochemical parameters were assessed. The results of the variance analysis show that spraying methionine increases the agronomic parameters. Additionally, methionine spraying increased photosynthetic and respiration rates. Compared to the control, spraying 150 mg/L of methionine increased phenolic and flavonoid accumulation by 89% and 115% respectively. These findings might provide a rationale from a scientific standpoint for cultivating Perilla frutescens to increase polyphenol content.

Segmented Line Heat Source Model for Thermal Radiation Calculation of Jet Fires in Chemical Plants

Abstract The jet fire caused by the leakage of combustible materials is one of the biggest threats to the safety of chemical plants. Thermal radiation of the jet fire brings severe damage to nearby facilities and people's health. To evaluate the damage of jet fires, a precise model for the calculation of thermal radiation is indispensable. Classical thermal radiation models of jet fires either have a lower prediction accuracy or a higher computation complexity. To overcome such deficiencies, this paper proposes a novel segmented line heat source (SLHS) model for jet fires. Because the length of the jet fire is often much larger than the width, the jet fire is viewed as a line heat source, with all the heat radiated from the centerline of the jet fire. The jet fire is divided into three segments along the flame length according to the temperature distribution and thermal radiation characteristics of the flame. Based on the SLHS model, three types of thermal radiation models called cone-cylinder-cone, ellipsoid-cylinder-ellipsoid, and ellipsoid-cylinder-cone models are built for computing the radiant heat flux distribution around the jet fire. The effectiveness and advantages of the proposed models are illustrated with the experimental data and a numerical simulation.

Efektivitas Pupuk Organik Cair Bawang Merah dan Limbah Bawang Merah Terhadap Perubahan Sifat Kimia Tanah dan Pertumbuhan Bawang Merah

Soil has an important role "in agriculture for the growth and production" of plants. The combination of organic and inorganic fertilizers can increase crop productivity and improve soil quality on land so that it can be used sustainably. One of the potential plants that can be used as a basic ingredient of organic fertilizer is red onion. This study aims to determine the effect of red onion liquid organic fertilizer on changes in soil chemical properties and plant growth. This research was conducted using a factorial randomized block design (RBD) with 2 factors. The first factor is the dose of organic fertilizer and the second factor is the dose of inorganic fertilizer. Parameters observed were pH, C-Organic, N, P, K, tuber weight, plant fresh weight, number of leaves and plant height. The results showed that red onion organic fertilizer can lower soil pH and increase soil C-Organic, N, P and K. The combination of the D1KB2 treatment (50% basic fertilizer + 15,000 ppm red onion waste) gave the best results in increasing soil organic C, Phosphate and Potassium. Conclusion. The interaction of inorganic fertilizers and red onion liquid organic fertilizer had a significant effect on tuber weight and plant wet weight, and had no significant effect on plant height and number of leaves.

Techno-economic analysis of sustainable methanol and ammonia production by chemical looping hydrogen generation from waste plastic

In this work, a techno-economic analysis on a novel plant configuration achieving the combined production of ammonia and methanol through chemical looping has been carried out. The innovative process presents advantages in terms of reduced dependency on market price fluctuations, thanks to the combined production of two chemicals, and optimal utilization of the chemical looping gases. The chemical looping plant is fed with recycled high density polyethylene to enhance the carbon circularity of the process. In this case, part of the captured CO2 is employed for methanol production along with hydrogen from chemical looping, while hydrogen from electrolysis is used for ammonia production by reaction with nitrogen from the air reactor. Renewable electric energy supply ensures a carbon free power to fuel conversion. Several sensitivity analyses were carried out to assess the optimum process parameters combination, i.e. fuel flow rate, steam flow rate, oxygen carrier inlet temperature. The final production rate is divided between 174 kg/h of methanol and 910 kg/h of ammonia. An economic analysis was then carried out. A capital cost of 27 M€ and an operating cost of 3 M€/y were computed. Sensitivity analyses on the impact of the electricity input cost, the electrolytic oxygen selling price, the electrolyser capital cost and the internal rate of return were carried out. The electricity demand was discovered to impact for the 68% of the total operating costs. For an electricity cost of 0.03 €/kWh, oxygen selling price of 0.07 €/kgO2 and internal rate of return of 8%, a final products cost of 0.76 €/kg was then determined. The process achieves specific CO2 emissions of 0.017 kgCO2/kgprd, which is significantly lower than the traditional processes (0.24 kgCO2/kgCH3OH and 1.66 kgCO2/kgNH3), and an energy intensity of 36 GJ/tprd. The final selling price of the products is still not competitive with the traditional processes but is comparable with ammonia production from electrolysis and air separation and methanol production from electrolysis and direct air capture.

The effects of combined application of chemical fertilizer, functional bacteria and plant hormones on vegetation restoration of desertification land in Zoige Plateau

The effects of combined application of chemical fertilizer, functional bacteria and plant hormones on vegetation restoration of desertification land in Zoige Plateau

Study of changes in leakage currents under a contaminated and moistened surface of insulators of the PS-6B, PS-120A, PSD-70E types of overhead power lines

In the process of operation, insulators are exposed to repeated pollution and atmospheric influences. This is due to the removal of pollutants from industrial metallurgical enterprises, chemical plants and their deposition on the surface of insulators near power transmission lines. In normal operation, when the insulators are dirty, but their surface is not wetted, the active component of the total leakage current can be neglected. It is another matter when the surface of the contaminated insulator is intensively moistened by atmospheric influences, for example: rain, fog, dew, respectively, and the value of the active component of the leakage current also increases in proportion to the conductivity of the formed electrolyte, the layer of contamination on the surface of the insulating surface of the insulator. The article discusses the method of measuring leakage currents on the contaminated surface of various types of glass plate insulators in laboratory conditions, with artificial and natural contamination. In the dry state, a leakage current flows through contaminated insulators, which mainly depends on the electrical capacity of the insulator. A method of calculating the active component of the leakage current is proposed, since the active component of the leakage current is the main parameter for determining energy losses due to its dissipation into the environment. The results of the change in the value of the leakage currents in the time characteristics after wetting the surface layer of pollution to the leakage current in the dry state of the insulator surface are given. The observation of drying processes of a contaminated and moistened surface due to the influence of leakage currents is given. The formation of dried zones on the surface of contaminated insulation of plate insulators of overhead power lines under the action of leakage currents was investigated. An analysis of the obtained results was carried out, conclusions were drawn.

Sequence-to-sequence digital twin model in chemical plants with internal rolling training algorithm

A data-driven digital twin based on the sequence-to-sequence (StS) model is introduced in this study. The rolling training algorithm is presented as a plug-in in StS training to achieve long-term rolling predictions. The model performs long-term horizontal predictions over 8-days based on initial observed data and manipulation sequence conditions without any new historical inputs. The digital twin model is validated using the dynamic simulation of the vapor-recompression C3 process. When the rolling training algorithm is used, the StS model demonstrates the best predictions than the traditional artificial neural network model and simple StS model for 1- and 8-days tests. Moreover, noise added cannot affect the prediction performance of StS with rolling training, and the step-change test validated the StS with rolling training containing physical meaning. Hence, the proposed StS model is a data-driven digital twin having physical interpretability. The StS model can implement long-term rolling predictions for days.

Additive and dose-dependent mixture effects of Flumite 200 (flufenzin, acaricide) and Quadris (azoxystrobin, fungicide) on the reproduction and survival of Folsomia candida (Collembola)

Chemical plant protection is still a dominant agricultural practice in the world, and usually fields are treated with several pesticides many times per year. This means that not only the single substances affect the environment and the non-target organisms, but their mixtures. Our model organism was Folsomia candida (Collembola). We aimed to gain information on the toxicity of Quadris (azoxystrobin) and Flumite 200 (flufenzine aka. diflovidazine) on survival and reproduction and whether the animals can mitigate the toxicity with soil and/or food avoidance behaviour. Also, we aimed to test the effect of the mixture of these two pesticides. We used the OECD 232 reproduction test, a soil avoidance test, and a food choice test for both single pesticides and their mixture. We prepared the mixtures based on the concentration addition model, so the 50% effective concentrations (EC50) of the single materials were used as one toxic unit with a constant ratio of the two materials in the mixture. In the end, the measured mixture EC and LC (lethal concentration) values were compared to the estimate of the concentration addition model. Both materials were toxic to the Collembola in much higher concentrations than the recommended field concentrations (Flumite 200 EC50: 1.096, LC50: 1.561, Quadris EC50: 65.568, LC50: 386.165 mg kg−1). The springtails did not consistently avoid the polluted soils, this only happened in higher concentrations. The mixtures seemed to have additive effects on the reproduction and we found dose-dependent interaction with the survival (EC50: 1.022 Toxic Unit, 0.560 Flumite 200 and 33.505 Quadris; LC50: 1.509 Toxic Unit, 0.827 Flumite 200 and 49.471 mg kg−1 Quadris). The deviation from the concentration addition model suggests that the curve starts with a synergy. but above EC50 it becomes antagonistic. We conclude that both Quadris and Flumite 200 are safe for springtails until the recommended field concentration is respected. However, if higher concentrations are used the animals cannot avoid Flumite 200 and the toxic effects can fully manifest. Consequently, the dose-dependent deviation from the concentration addition model is a reason for caution as the low concentrations were synergistic for survival. That means the field concentrations can possibly cause synergistic effects. However, to clarify that further tests are necessary.

Electricity demand reduction through waste heat recovery in olefins plants based on a technology-agnostic approach

Developing systematic approaches for the identification of optimal WHR options in industrial applications is key to reducing plant-scale energy demands. In particular, electricity consumption accounts for more than half of industrial energy use, and its share is expected to grow with progressive electrification. In this paper, industrial WHR technologies including organic Rankine cycle (ORC) and absorption systems are investigated, and tools are developed to understand the sustainability and techno-economic impact of integrating these technologies within industrial processes and facilities. We specifically propose a data-driven technology-agnostic approach to evaluate the use of heat engines, which can in practice be ORC systems, and thermally-driven (i.e., absorption) heat pumps in the context of industrial WHR for plant-scale electricity demand reduction. The aim of this work is to explore three pathways for achieving efficiency improvements in bulk chemicals plants, represented here by olefins production facilities: (i) direct onsite power generation; (ii) enhancement of existing power generation processes; and (iii) reduction in power consumption by compressor efficiency improvements through waste-heat-driven cooling. The techno-economic performance of these technologies is assessed for five different countries representing a diverse portfolio of climates, technical and economic parameters (including utility prices), using fine-tuned thermodynamic and market-based costing models. The results reveal that the proposed approach has the potential to reduce emissions by between 5,000 tCO2(eq.)/year and 101,500 tCO2(eq.)/year depending on the scenario. The marginal abatement cost of the proposed solutions ranges from −1,200 $/tCO2(eq.) to −35 $/tCO2(eq.), with a payback time between 1.5 and 8 years depending on the scenario considered.

Contamination Status and Ecological Security Thresholds of Fluoride in Farmland around a Phosphorus Chemical Plant in a Karst Area of Southwestern China.

The phosphorus chemical plant (PCP) production process leads to the substantial discharge of fluoride into the surrounding environment. However, there is limited research data regarding the pollution levels and ecological safety thresholds of farmland fluoride around PCPs in karst areas. This study evaluates the local contamination status and health risks by determining the fluoride content in farmland and vegetables in vicinity of a PCP in a karst area of Southwestern China. Farmland ecological security threshold was derived based on the species sensitivity distribution (SSD) model. Results showed that the fluoride contents in the soil ranged from 529.36 to 1496.02 mg kg-1, with the median value of 823.93 mg kg-1, which was higher than the national background value in China (478 mg kg-1) by 172.37%. Fluoride contents in vegetables ranged from 0.01 to 25.21 mg kg-1, with the median value of 1.29 mg kg-1, which was higher than the limits of contaminants in food (1 mg kg-1) by 129.00%, and 53.85% of vegetable samples were contaminated. Leafy vegetables showed a higher tendency of fluoride enrichment compared to non-leafy vegetables. Despite there being no significant health risk to the residents via the intake of vegetables overall, there may be potential health risks from the intake of sweet potato leaves. Based on the SSD model, the ecological safety thresholds of fluoride in local farmland was classified into the suitable for planting category (≤174.13 mg kg-1), safe plant utilization category (174.13-4005.42 mg kg-1), and strict control of planting category (≥4005.42 mg kg-1). These findings will provide valuable insights to facilitate the safe cultivation of local agricultural products and optimize the utilization of soil resources.

TEHNOLOŠKI NAPREDAK I KLIMATSKE PROMJENE – TEMA U OBRAZOVANJU INŽENJERA / TECHNOLOGICAL PROGRESS AND CLIMATE CHANGE – TOPIC IN ENGINEERING EDUCATION

At the beginning of the 21st century, environmental issues became leaders in all areas of human activity without competition. All other essential topics: health, food, energy, water, and air, are predominantly determined by environmental problems. Climate change is a result of excessive CO2 emissions due to the greenhouse effect, air pollution as a result of emissions of harmful substances by thermal power plants, chemical plants, heating boilers, individual furnaces, means of transport; pollution of drinking water, pollution and devastation of arable land, destruction of forests, pollution of rivers due to inadequate wastewater treatment, etc. are problems that require a radical change in man's attitude towards the environment, which leads to the need to reconsider and change the current way of doing business. The paper analyzes the impact of scientific achievements in electrical engineering on the accelerated industrial growth that has led to today's environmental problems. Industrial development is explored in phases (Industry 1.0, Industry 2.0, Industry 3.0, Industry 4.0) regarding the impact of radical changes in doing business. Since we are now in phase 4, the dominant topics are energy transition, energy efficiency, renewable energy sources, recycling, innovation, electric vehicles, networking, Internet of Things (IoT), artificial intelligence, and 5G. Although all the above topics are multidisciplinary, a significant share of electrical engineering is clear. Existing plans and programs in electrical engineering, whether based on the traditional model of education or in the process of innovation, are adapted to new technological trends. As a rule, little or no importance is attached to environmental issues. As one of the answers to the mentioned problem at the Faculty of Electrical Engineering, University of Sarajevo, a new course, “Sustainable Development” was included. The paper briefly describes the content of this course.