Electric Power Utilities Research Articles

A proposed quality control process for front-end planning to minimize risk of field change orders in underground electrical construction

Controlling capital costs and cost overruns due to construction field change orders (FCOs) is essential for the electric power industry to provide affordable energy services. Conversion from overhead to underground systems due to security and climate change factors will increase the risk of FCOs due to site conditions. The failure in collaboration by front-end planning (FEP) teams can increase risk of FCOs due to missing scopes, errors in design, lack of existing field condition evaluation, constraints on the project schedule, or unexpected field conditions, among other causes. This study involved development of a quality control process that enables members of the FEP team to vote their confidence levels about risk control of FCOs before proceeding to final design. The proposed process utilized Analytical Hierarchy Process (AHP) methodologies to distribute the weights of stakeholder votes based on responsibilities for each category of FCOs to obtain an integrated metric of FEP team confidence. Data from an operational electric power utility was used to provide a case scenario approach and to illustrate the method. Three actual projects were analyzed to assess how well the process would have worked for them. The novelty of the proposed model is to enhance the effectiveness of collaborative working relationships across teams during the FEP process and to provide a quality control metric to capture risk of FCOs in the early phase to minimize cost overruns in the project execution phase.

Minimizing the reliability trade-off in wildfires risk mitigation

One of the major concerns of electric power utilities in recent years is mitigating wildfire risks. While different mitigations have been proposed and some are implemented, customer experience is less focused in some methods, and not even considered in some extreme methods. This paper focuses on minimizing such tradeoff: reliability vs. wildfire risk reduction. This paper first proposes a methodology to quantify the wildfire risk raised by electric distribution systems, utilizing the vegetation factor at proper locations as well as the probability of fault. An optimization framework is then developed in this work that considers system reliability improvement in decision-making while reducing the risk of wildfires. The means to achieve such optimization are reclosers and fuses: optimally locate them to minimize the wildfire risk while the negative impact on reliability is minimized. Both fuse-blowing and saving schemes are investigated in this work. Moreover, the temporary and permanent types of faults are taken into account by formulating their impact on the operation of reclosers and fuses in both fuse-blowing and saving schemes. The optimization framework utilizes the exchange market algorithm (EMA) to find optimal results. The effectiveness of the proposed approach is verified by utilizing a modified IEEE 123 node system.

Waste Management of Wind Turbine Blades: A Comprehensive Review on Available Recycling Technologies with A Focus on Overcoming Potential Environmental Hazards Caused by Microplastic Production

The 2020 targets for sustainable development and circular economy encourage global leaders and countries to legislate laws and policies on several critical hot topics to prevent further global warming: (1) the increased utilization of renewable electrical power (wind turbine implants, as an example); (2) waste transformation into high-added-value materials based on the European Green Deal for energy transition; and (3) material and energy recovery and circularity. Accordingly, scholars and researchers have predicted that, hopefully, installed wind power capacity is going to increase dramatically by 2050. However, our ecosystem will have to face and deal with an enormous amount of decommissioned turbine blades. The disposal of these wastes via conventional methods could not only raise the possibility of microplastic formation, but could also boost the probability of environmental issues such as air pollution, soil, water contamination, etc. Moreover, these hazards will endanger wildlife and humans. As a result, the waste management of these retired blades composed of multi-lateral composite materials through a sustainable, effective, and feasible single/or hybrid process is necessary. This review aims to summarize all of the information about turbines, introduce all the various recycling pathways used for their blades, and provide a comparative analysis of these methods as well. In addition, the paper defines the possibility of microplastic formation from this waste (especially end-of-life turbine blade scraps), points out potential risks for the Earth, and suggests actions to inhibit their build-up and to keep the environment safe.

Development of an IoT smart energy meter with power quality features for a smart grid architecture

Electricity consumption has been intensifying due to population growth, climate change, urbanization, and the growing use of electronic devices, which are increasingly non-linear loads that cause poor power quality conditions. The trend of the Internet of Things has led to the creation of devices that encourage the efficient and effective utilization of electrical power. This in turn facilitates the development of modern power distribution structures such as smart grids. Consequently, this paper presents in detail the design, construction, and validation of a three-phase IoT smart meter intended to form part of the end-user demand side of a smart grid. The compact embedded system, with a manufacturing cost below $80 USD, features a unique electronic design that enables its installation in any load center and employs a straightforward IoT structure that includes WiFi technology for Internet communication. Also, a deployed web application was developed specifically to display the smart meter measurements. Unlike other smart meters, the proposed meter not only provides the amount of active energy consumption, but total and fundamental RMS current and voltage, active, reactive, and apparent power, reactive energy, power factor, and some power quality parameters such as, line frequency, amplitude of 64 current harmonics, and total harmonic distortion. Additionally, this study shows that the prototype achieves an absolute error of less than 1% in all its measurements. Finally, real-life applications of the developed device are demonstrated in residential environments.

PENGEMBANGAN SISTEM ENERGI TERBARUKAN: PENDEKATAN MULTIGENERATOR DAN SIMULASI ETAP

This research focuses on the analysis of power flow in an electrical energy system involving 5 generators, with a nominal voltage of 345 KV, and a total power of 500 MW. Utilizing the ETAP simulation software, we evaluated the distribution of power, currents, and power factor across the entire system. The results of the analysis provide deep insights into the system's response to loads, power flow, and the efficiency of electrical power utilization. At the 345 KV voltage level, the simulation demonstrates the system's capability to maintain stability and power balance effectively. Power distribution and currents among generators provide a clear overview of the performance of the electrical network. Power factor analysis offers additional information regarding the efficiency of electrical power usage within the system. These findings serve as a crucial foundation for making informed decisions in managing and developing renewable energy infrastructure. In the era of transitioning towards more sustainable energy sources, a comprehensive understanding of power flow and system responsiveness to loads is essential to ensure the reliability and efficiency of the electrical power system

EXPERIMENTAL DEMONSTRATION OF ELECTRICAL POWER GENERATION USING STATIONARY EXERCISE BICYCLE COUPLED WITH WIND TURBINE REGULATOR

The small power generation using exercise bicycle is one of the current areas patronized by researchers. This is due to the two major benefits obtainable from the exercise machine, the benefit of exercising one’s body and the utilization of electrical power generated. Wind turbine regulator is specifically designed to regulate the output voltage of a wind turbine generator, which is characterized by varying speed and hence varying output power. The exercise bicycle driven alternator has a similarity with wind turbine generator in terms of variable speed, especially when ridden by different personalities. This paper demonstrates how small power can be generated using exercise bicycle. Further, the paper analyzes the performance of the by regulating its output using small wind turbine regulator. The result shows that, a regulated output within the range of 12V is obtained for all the tested loads, which makes the system more compatible with all types of 12V DC loads. Also the excitation voltage of the machine is improved from 4.5V (1.22A) using the diodes rectifier to 2.5V (0.81A) when the wind turbine regulator is used. With the improved power generation in this work the exercise bicycle will be a better alternative source for small power generation which can be used in DC lightings, DC fans, charging batteries and laboratory experiments.

Analysis and Design of Transmission Tower using Staad-Pro

A transmission tower, also known as an electrical power tower or utility pole, is a tall structure used to support overhead power lines for the transmission of electrical energy. Transmission towers play a critical role in the reliable and efficient transmission of electricity from power generation plants to distribution networks and ultimately to consumers. This abstract provides an overview of transmission towers, including their purpose, types, components, and key considerations in their design and construction. Transmission towers are designed to withstand various environmental and loading conditions, such as wind, ice, and seismic forces while maintaining the integrity and stability of the overhead power lines. Different types of transmission towers, such as lattice towers, tubular towers, and pole towers, are used based on factors such as voltage level, span length, and terrain conditions. Analysis of this transmission tower is administered using STAAD PRO The present work describes the analysis and design of a transmission line tower of 31 meters in height and 220KV double circuit viz. various parameters. The components of a transmission tower typically include tower legs, cross-arms, insulators, and hardware for attaching conductors and ground wires

Leisure Jobs: Recreating Family and Social Life in Canadian Electric Utility Marketing, 1920–1970

This article contributes to scholarship on business history and gender in twentieth-century energy transitions. It examines Canadian electric power utility marketing plans and materials, newspaper and magazine accounts, and oral history interview records. Utilities initially sought to sell power as capital and labor rationality, mirroring industrial ideals of producing more with fewer resources. As those labor savings were realized, they increasingly sold power as a means to perform new organizational and emotional jobs of creating a more intimate, happier, and child-centered family life. In doing so, they redefined social life, from family-as-labor unit to family-as-leisure unit, while also redefining leisure-as-labor for women. Women in utility marketing materials, as observed in subsequent time-use studies, eventually saw fewer hours of housework and family care, although offset by increasing leisure jobs. Mobilizing social groups to advance an electrification agenda, utilities sold this new labor as an extension of energy service work in homes, public spaces, and leisure facilities.

Production of Bio-Energy and Organic Fertilizer Using Canteen and Kitchen Waste

The use of renewable energy sources are becoming very necessary due to the limited reserves of fossil fuels and global environmental concerns for the production of electrical power generation and utilization. In remote areas, villages, rular areas it is easy to get more amount of biomass. Hence by the use of these systems consisting of Biomass to generate methane gas and electrical energy in these remote areas canbe more economical and commercial. Kitchen waste (food waste can be collected from different hostels, mess; homes can feed to reactor which works as aerobic and anaerobic digester system to produce biogas energy. In College campuses by utilizing the hostels (mess) food waste and other biomass residues can be utilizedfor better purposes. Biogas production requires anaerobic digestion. This paper will gives an analysis on how Kitchen food waste can be converted into biogas and its utilization for daily utilization. Key Words: Biogas, Kitchen food waste, Environment, Anaerobic digestion.

Optimization of cogging torque in interior permanent magnet synchronous motor using optimum magnet v-angle

Introduction. At present, the most important requirement in the field of electrical engineering is the better utilization of electrical power, due to its increasing demand and not-so-increasing availability. A permanent magnet synchronous motor (PMSM) is increasingly gaining popularity in various household and industrial applications because of its superior performance compared to conventional electrical motors. Purpose. PMSM is designed based on the selection of various design variables and optimized to fulfill the same. Being superiorly advantageous over other motors, PMSM has the major disadvantage of higher cogging torque. Higher cogging torque generates torque ripple in the PMSM motor leading to various problems like vibration, rotor stress, and noisy operation during starting and steady state. The designer should aim to reduce the cogging torque at the design stage itself for overall better performance. Methods. An interior rotor v-shaped web-type PMSM is designed and its performance analysis is carried out using finite element analysis (FEA). Magnet v-angle is optimized with the objective of cogging torque reduction. Performance comparison is carried out between the optimized motor and the initially designed motor with FEA. Novelty. Magnet v-angle analysis is performed on the same keeping all other parameters constant, to obtain minimum cogging torque. The proposed method is practically viable as it does not incur extra costs and manufacturing complexity. Practical value. It is observed that the magnet v-angle is an effective technique in the reduction of cogging torque. Cogging torque is reduced from 0.554 N×m to 0.452 N×m with the application of the magnet v-angle optimization technique.

Electric utility construction: Causes and types of field change orders

The electric power industry provides most of the energy for global commerce, and controlling its construction costs is important to provide affordable energy. Controlling original contract costs and any added costs due to change orders requires effective planning and design of projects. While cost overruns due to change orders occur in other industries, the electric power utility industry faces technical complexity, poor understanding of field conditions, lack of jobsite visits, and poor collaboration among stakeholders during design and planning. Although published data exist for costs of change orders in other industries, almost none are available for the electric power sector. To mitigate these problems, project managers must understand these risks, provide better cost forecasts, and take other measures to avoid change orders. Using a descriptive statistical analysis of the project database of an electric utility company, this study addresses the data gap by analyzing the magnitude, frequency, and causes of field change orders of both overhead and underground electrical construction. The results identified nine causes of field change orders (FCOs) during construction. The percentage increases in the electrical construction contract costs appear to be higher than in other industries, which is an alarming finding considering the tendency to bury transmission lines due to fire hazards. The result showed that FCOs with added scopes occurred more frequently in underground projects than in overhead projects. The analysis indicated that most causes of field change orders could be managed during planning and design and through the construction phase. The findings of this study can be used by electric utilities when they convert from overhead to underground systems due to security and climate change factors.

A technique to boost Reliability and Efficiency of a Radial Distribution Network by considering the effect of Protective Devices and System Restructuring

The capability to supply reliable and efficient electric power is essential for any healthy power distribution network. Achieving these desirable network performance criteria has always been a concern for electric power utility firms. A solution to resolving this concern is demonstrated in this paper with the aid of an operational technique, known as Distribution System Restructuring. In this technique, the topological arrangement of the flow of branch currents is varied by operating the available network switches in such a way that the desired objective is fulfilled keeping all the nodes energized in a radial configuration. The method exhibits how without further infrastructural investments the reliability and efficiency of the system can be improved at various load levels. This paper also showcases the effect of protective devices on system reliability. A detailed analysis is provided to assess the possible interruption duration caused due to a fault. This assessment is pivotal for reliability evaluation. The proposed methodology benefits from a novel optimization technique named Differential Evolution infused Krill Herd Sine Cosine Algorithm. The methodology is applied to the IEEE 33-node and the IEEE 69-node distribution network. The numerical results so obtained prove its potency to solve the problem.

A novel electricity load forecasting based on probabilistic least absolute shrinkage and selection operator-Quantile regression neural network

Predicting energy consumption is challenging since forecast accuracy is heavily impacted by several external elements, including the economy, community, environment, and sustainable energy, including wind, solar, and hydro energy. The most crucial aspect in successfully predicting electrical power demand is to gather crucial information about those external factors in the vast amount of data provided by the smart grid. The Least Absolute Shrinkage and Selection Operator-Quantile Regression Neural Network (LASSO-QRNN) is a strategy for probability density prediction proposed in this article. First, using LASSO regression, the primary features are determined from external factors impacting electrical power utilization. The LASSO-Quantile regression NN approach is then developed to forecast annual electrical power consumption. In the years that followed, various quantiles were employed to gauge electrical power demand, and the outcomes were assessed. The LASSO-QRNN approach also includes a kernel density evaluation that, in the event of a one-value forecast, will display a probability distribution. The experimental assessments from the Guangdong database in China and the California real-world databases in the US have evaluated the forecasting precision. The results of the numerical study demonstrate that, in comparison to Quantile Regression and Kernel Density, Box-Cox transformation, the provided model provides superior accuracy for the prediction of electrical power demand. Deep Generative Architecture, K-means Clustering, a Quantile Regression Neural Network, expert prediction, and fuzzy Bayesian theory. LASSO-Quantile regression neural network can handle the higher dimension information in electrical power usage prediction besides the more accurate outcomes.

70. Environmental Sustainability of Internal Fixation Hardware

PURPOSE: Environmental sustainability has become a critical initiative among several industries, but it is rarely mentioned in healthcare. The environmental footprint of surgical procedures is not only based on the resource utilization of operating rooms, but rather on the entire value chain of intraoperative products utilized. The purpose of this investigation was to assess the corporate environmental responsibility of two leading manufacturers of internal fixation hardware. METHODS: The sustainability practices of two leading internal fixation hardware manufacturers were investigated based on self-reported corporate environmental data. Data were standardized per $1 million USD in revenue. Recent corporate initiatives and their resulting sustainability impact were analyzed over the last six years, specifically within the categories of greenhouse emissions (in metric tons of carbon dioxide equivalent, MTCO2e), water withdrawal (in cubic meters, m3), solid waste (in metric tons), and energy utilization (in gigajoules, GJ). RESULTS: Regarding greenhouse emissions, Company S most recently reported 10.0 MTCO2e per $1M in revenue, while their competitor Company D reported 12.0 MTCO2e per $1M in revenue. Company S recently reduced its carbon footprint at a rate of 1.9 MTCO2e per $1M per year, which has been nearly twice as fast as Company D at 1.0 MTCO2e per $1M per year. Regarding water withdrawal, Company S utilized 5.6 m3 per $1M in revenue, whereas Company D utilized only 1.43 m3 per $1M in revenue. Neither company has made substantial changes to their water withdrawal rates. Regarding solid waste, Company S only produced 0.34 tons of solid waste per $1M in revenue, whereas Company D produced 1.22 tons of solid waste per $1M in revenue. Company D currently recycles an impressive 86.9% of its nonhazardous solid waste. Over the past five years, Company S has diverted 25 million pounds of waste from landfills by reprocessing end of lifecycle products. Regarding energy utilization, Company S utilized 123.2 GJ per $1M in revenue, whereas Company D utilized 155 GJ per $1M in revenue. Both companies have made large strides in their energy reductions, such that Company S has reduced their energy utilization by 2.5 GJ per $1M per year, and Company D has reduced their energy utilization by 7.0 GJ per $1M per year. Company S more than doubled its renewable electric power utilization from 102.7 GJ per year to 241.7 GJ per year. While this is impressive, it still only represents 13.6% of its total purchased energy utilization. CONCLUSION: There are substantial differences in the business practices between internal fixation hardware suppliers. Physician leaders need to begin discussing responsible resource procurement. Future research over the coming months will investigate various other suppliers to analyze the supply chain footprint of each of our procedures, as well as the supply chain footprint of our plastic surgery department overall.

Bubbling Phenomena in Liquid-Filled Transformers: Background and Assessment

The degradation of the insulation system in liquid-filled power transformers is a serious concern for electric power utilities. The insulation system’s ageing is accelerated by moisture, acids, oxidation products, and other decay particles (soluble and colloidal). The presence of these ageing by-products is detrimental to the insulation system and may further lead to premature ageing and serious consequences. The ageing mechanisms of oil-paper insulation are complex, highly interrelated, and strongly temperature-dependent. The operating temperature of the transformer insulating system has a direct relationship with the loading profile. The major aspect that is witnessed with the fluctuating temperatures is moisture migration and subsequent bubble evolution. In other words, gas bubbles evolve from the release of water vapor from the cellulosic insulation wrapped around the transformer windings. The models presented in the existing standards, such as the IEC Std. 60076-7:2018 and the IEEE Std. C57.91:2011, are mainly based on the insulation temperature, which acts as a key parameter. Several studies have investigated the moisture dynamics and bubbling phenomenon as a function of the water content in the paper and the state of the insulation system. Some studies have reported different prototypes for the estimation of the bubble inception temperatures under selected conditions. However, there are various attributes of the insulation system that are to be considered, especially when expanding the models for the alternative liquids. This paper reviews various evaluation models reported in the literature that help understand the bubbling phenomenon in transformer insulation. The discussions also keep us in the loop on the estimation of bubbling behavior in alternative dielectric liquids and key attributable factors for use in transformers. In addition, useful tutorial elements focusing on the bubbling issue in transformers as well as some critical analyses are addressed for future research on this topic.

THE LEGAL BASIS FOR THE LOCATION OF SYSTEMS AND EQUIPMENT OF UTILITIES ON THIRD PARTY LAND

Business activities conducted by utilities are of a quasi-public character. The purpose of these activities is to supply consumers with electric energy, thermal energy, gas, water as wellas to provide sewage disposal services. Utilities also include telecommunications enterprises and any other enterprises that carry on their business by using a network, that is, a complex system of closely interrelated, in physical, technological and functional terms, pieces of equipment that form a definite whole and are used to supply the users with utility services or to provide sewage disposal. Distribution networks are mostly located on land not belonging to utilities, but they are not a part of a given property if they are an asset of a utility. The aim of this article is a synthetic summary and presentation of the legal possibilities of legal foundation of technical infrastructure equipment on third party land. The legislator provides for a number of legal measures that allow distribution systems and equipment to be lawfully located on such land, so that reliable and uninterrupted supplies of thermal energy, electric power, water, gas and other utility services can be provided to consumers, but at the same time the legislator takes into account the interests of property owners, with special attention to respect for the right of property. The main purpose of the publication, based on a thorough, dogmatic method, is to analyze the provisions governing the location of network installations and devices on real estate, as well as the legal possibilities of legalizing their already existing foundation. In the analysis of this subject, the formal-dogmatic method, related to the exegesis of the legal text, the historical-legal method, as well as comparative legal studies were used.

Optimization of Non-Convex Economic Dispatch Problem Using Hybrid Approach Based on Bacterial Foraging and Genetic Algorithm

Fulfillment of consumer demand is a foremost challenge for all electrical power utilities. An electrical power system consists of several generating units and each of these units owns a distinct operating set of operating parameters. A fundamental challenges lies in a fact that there may not be a correlation between operating costs of these machines and their generated output. Major reason for lack of the correlation includes the ramp-rate limits, transmission losses and manipulation due to valve-points in the generation units cost function, and thus, it becomes a non-linear optimization problem. In view of this fact, it creates a rigorous need to devise a robust solution to cater for such a non-linear optimization scenario. In this paper, bacterial foraging and genetic algorithms based hybrid technique is used to effectively tackle the economic dispatch problem. The presented technique incorporates two modifications in the original bacterial foraging algorithm including differential evolution inspired bacterial movement and genetic algorithm based bacterial reproduction. Where inspired bacterial movement involves modification in the directional movement for each bacterium in such a manner that every bacterium tries to improve its direction and position based on differential evolution. The proposed technique is applied to non-convex dynamic economic dispatch (DED) problem in order to obtain optimal solution within feasible functional limits while satisfying the load demand at the same time. The obtained results demonstrate that the proposed hybrid approach outperform the other techniques in term of optimal solution and significant reduction of computational time in the given scenarios.

Optimization of metal-supported solid oxide electrolysis cells with infiltrated catalysts

Metal-supported solid oxide electrolysis cells (MS-SOECs) are being developed for steam-to-hydrogen electrolysis, especially for utilization of dynamic or intermittent electrical power from renewable sources. Various aspects of the electrocatalyst processing and composition, and metal support structure were explored. Catalyst materials, infiltration temperature and infiltration cycles were optimized for high performance and durability. Numerous catalyst materials were screened for both oxygen and steam electrodes. The oxygen catalyst had moderate impact on both initial cell performance and durability. Reducing Ni content in the steam electrode had little effect on durability, but reduced initial performance. Ex-situ XRD analysis and cell assessment of catalyst infiltration temperature revealed that the optimal range is 750–850 °C. The best cell performance and durability was achieved with LSCF-SDC oxygen electrocatalyst and SDC-Ni (60:40 vol%) steam electrocatalyst infiltrated 11 times at 800 °C and operated at 700 °C. At low steam content, a significant mass transport limitation on the steam side results in limiting current behavior. Thinner and more porous metal supports were implemented, and found to improve steam mass transport at low steam content, relevant for SOECs operating under high H2 recycle rate or high steam utilization.

Review of Lubrication and Cooling in Computer Numerical Control (CNC) Machine Tools: A Content and Visualization Analysis, Research Hotspots and Gaps

Lubrication and cooling (LC) are critical for mechanical devices’ effective and dependable functioning, because they decrease friction and wear of moving components, ensuring superior efficiency. However, the cutting fluids in machining operations are a key cause of fear, due to their high cost, environmental impact, and health risks, particularly in computer numerical control (CNC) machine tools (MTs). During the industrial revolutions, MTs superseded manual labour and increased efficiency and output. Therefore, much research was conducted on lubrication and cooling in CNC machine tools (LC in CNC MTs). Therefore, it has become necessary to review and highlight research hotspots and gaps using specific means that can benefit budding researchers. The present review aims to identify research hotspots and gaps of LC in CNC MTs utilizing content and visualization analysis, employing VOSviewer and Biblioshiny software. The analysis comprises 136 documents retrieved by Scopus between 1988 and 2022. The analysis revealed a consistent growth in publications, primarily consisting of articles, with a minor proportion of review documents and conference papers. The keywords were categorized into seven clusters, with a notable prevalence of ‘surface roughness’ and ‘CNC machine tools’. A word cloud was generated to visualize the author’s frequently used keywords, where larger font sizes represented higher frequency. The treemaps demonstrated that ‘CNC’ appeared 34 times and contributed 8%, followed by ‘machine’, ‘tool’, ‘machining’, and ‘thermal’. In the abstract-terms tree plot, ‘machine’ appeared 235 times and contributed 7%, followed by ‘CNC’, ‘machining’, ‘tool’, and ‘cutting’. The content and visualization analysis identified six research hotspots: computer control systems, machine tools, computer numerical control, machining, numerical control systems, and surface roughness (Ra). The research gaps are temperature, cooling systems, cutting forces, energy utilization, tool life, nanoparticles, electric power utilization, and energy conservation. Based on hotspots and gaps, literature evaluations extensively addressed the strong roadmap of technical improvements and problems of LC in CNC MTs. A complete visualization and content analysis also produced a conceptual framework for best practices, and the study offers insight into the issues and prospects.

Will NILM Technology Replace Multi-Meter Telemetry Systems for Monitoring Electricity Consumption?

The estimation of electric power utilization, its baseload, and its heating, light, ventilation, and air-conditioning (HVAC) power component, which represents a very large portion of electricity usage in commercial facilities, are important for energy consumption controls and planning. Non-intrusive load monitoring (NILM) is the analytical method used to monitor the energy and disaggregate total electrical usage into appliance-related signals as an alternative to installing multiple electricity meters in the building. However, despite considerable progress, there are a limited number of tools dedicated to the problem of reliable and complete energy disaggregation. This paper presents an experiment consisting in designing an electrical system with electrical energy receivers, and then starting NILM disaggregation using machine learning algorithms (MLA). The quality of this disaggregation was assessed using dedicated indicators. Subsequently, the quality of these MLA was also verified using the available BLUED data source. The results show that the proposed method guarantees non-intrusive load disaggregation but still requires further research and testing. Measurement data have been published as open research data and listed in the literature section repository.