Efficient Use Of Electrical Energy Research Articles

Aspects Regarding of Passive Filters Sustainability for Non-Linear Single-Phase Consumers

The efficient use of electrical energy (an important component of sustainability) has become increasingly important for electrical consumers (industrial and non-industrial) as we face the challenges of climate change and the need to protect the environment. This theme is essential for guaranteeing a secure and sustainable future for both present and future generations. The power quality and the efficiency of electrical energy are connected to each other. Some power quality problems are caused by natural and unpredictable events, but many disturbances affecting power quality are caused by suppliers and consumers. One of the most important parameters in power engineering is the power factor, which indicates the degree of efficient use of electrical energy. Harmonics is the most important dynamic component of power quality, which affects the operation of electrical equipment and, at the same time, reduces the power factor. Harmonic sources in power systems are generally associated with nonlinear loads. To analyze the operating of passive filters (series L, shunt LC, T type LCL), two groups of experiments (relevant consumers were chosen for the industry as well as from the household sector) were carried out with single-phase nonlinear consumers: in the first group of experiments, a variable-frequency drive is used to supply a three-phase induction motor with variable load; in the second group of experiments, compact fluorescent lamps and LED lamps were used. Following the experiments, it was found that the difficulty of calibrating coils (to size a filter), especially the coils with a core, and the change in electrical properties over time for capacitors. For a certain type of consumer, the improvement of the current waveform depends on the type of filter used, the possibility of improving the power factor (to use electrical energy efficiently), and the role of the source impedance, which is particularly important to improve the efficiency of passive filters. Through the appropriate choice of the passive filter, a decrease in the deforming regime is obtained, with a slight decrease in the active power, and by increasing the power factor, a decrease in the losses of electrical energy from the electrical networks is obtained, with direct implications for the emission of greenhouse gases.

An Implementation of Lighting Control Systems Buildings with Time Based Mapping and AC Light Dimmer Integrated IoT

The use of a building lighting control system is very necessary to regulate lighting in a building to suit needs, because not only low lighting conditions can cause discomfort, lighting conditions that are too bright can also cause discomfort. The problem is that natural light cannot play much of a role in lighting buildings which are generally closed and have minimal ventilation, as well as the availability of lighting which, if not controlled properly, cannot directly meet the lighting needs of the building, whether it is the value of the light intensity produced, mapping the lighting of the lights, setting the duration of the use of lights as lighting or in the case of excessive lighting by turning on all the available lights in the room becomes a problem in terms of efficient use of electrical energy, so a special system design is needed to overcome this problem, namely the implementation of a building lighting control system. with time-based mapping and an AC light dimmer integrated with the Internet of Things which has a specific purpose as a system for controlling building lighting to suit needs, whether it is setting the light intensity value, mapping the use of lights or setting the time of use of lights as lighting. The test results have shown that the implementation system for the building lighting control system with time-based mapping and AC Light Dimmer which has been integrated with the Internet of Things as remote control and monitoring communication has been successfully implemented and is working well according to the specified targets. Keywords: lighting, AC light dimmer, mapping, Internet of Things.

ENERGY AUDIT OF LIGHTING SYSTEM, AIR CONDITIONING SYSTEM AND MEDICAL EQUIPMENT IN YARSI PONTIANAK GENERAL HOSPITAL

The energy audit at Yarsi Pontianak General Hospital aims to achieve efficient use of electrical energy without affecting the function and usefulness of a system. The audit method used is a detailed energy audit conducted on lighting systems, air conditioning, and medical equipment. The results of the research on Energy Saving Opportunities (PHE) obtained include PHE No Cost by reducing the ignition time and number of lights in the lighting system, reducing the ignition time and number of air conditioners in the air system, reducing the ignition time of medical equipment, at PHE Low Cost by installing infrared sensors and light sensors, changing the type of refrigerant to musicool refrigerant type, and at PHE High Cost by changing the type of lamp to LED, changing the AC unit to an energy-saving inverter air conditioner, and changing the type of medical equipment with low power consumption. The initial IKE value before doing PHE was 204.56 kWh/m2/year at a cost of Rp.553,541,364, after PHE No Cost the IKE value became 151.94 kWh/m2/year, after PHE Low Cost became 168.48 kWh/m2/year, and after PHE High Cost became 174.92 kWh/ /year. The savings obtained at PHE No Cost amounted to Rp.142,387,308, at PHE Low Cost amounted to Rp.97,636,797, and at PHE High Cost amounted to Rp.80,190,648.

The Energy-Saving Control Criterion for Impact Crushing Machines

The purpose of the article is to substantiate the use of a new criterion for controlling the grinding technological process to improve the use of electrical energy. The subject of the study is the process of using electrical energy in impact grinding machines. The set goal is achieved by solving the following problems: analyzing the energy of the grinding process, determining the parameters of raw materials and operating modes of the electric drive that affect the efficiency of electrical energy usage. Based on theoretical research, a mathematical model of energy consumption in grinding processes has been developed. Analytical studies of the resulting mathematical model showed the nonlinear extreme nature of the specific energy consumption of the grinding process with changing raw material parameters and operating modes. This creates the prerequisites both for using specific electrical energy costs as a control criterion and for the use a controlled electric drive to achieve maximum energy savings. The most important result is that the operating modes of grinding machines could be established by more efficient use of electrical energy. The significance of the work lies in the fact that by adapting the operating modes of the electric drive to the current parameters of the raw materials and the state of the equipment make possible to reduce the specific electrical energy consumption up to 15% and this is the basis for using a criterion based on specific costs in control systems for technological processes with grinding impact machines. For further application of the obtained results it is necessary to conduct experimental studies to confirm the increase in the efficiency of electrical energy use.

EFFICIENT USE OF ELECTRIC ENERGY WHEN OPERATING A BALL MILL WITH A CONSTANT ROTATION SPEED

Link for citation: Zakamaldin A.A., Perevoshchikov F.V., Shilin A.A. Efficient use of electric energy when operating a ball mill with a constant rotation speed. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 9, рр. 115-127. In Rus. The relevance. Ball mills are widely used in industry for grinding bulk materials, as well as in the last stages of ore crushing, where the required optimal particle sizes are achieved for enrichment. Although ball mills have a relatively simple design and cover extensive research, the industry is still struggling with the very low energy efficiency of the grinding process. As the retrofitting heavy equipment is the costliest approach, process optimization through control system is the most suitable for energy consumption reduction. As a rule, the feed rate is the main control variable for a mill with a constant rotation speed. Due to insufficient information content, outdated methods of analysis and control of the internal dynamics of the mill, control systems keep the target value of feed rate at a deliberately low level in order not to overload the mill. This article provides an explanation of how, in such a case, an increase in mill feed rate could affect the energy efficiency of grinding. The main aim: study of energy efficient modes of operation of stations; verification of models and confirmation of experimental data: the relationship between door loading and power consumption indicators; construction of buildings for energy efficient control of ball towers. Objects: the process of grinding in a ball tower with a constant rotation speed. Methods: mathematical description of the behavior of the electromechanical part of a machine that consumes current and works on a load in the form of spherical furniture; simulation modeling of the operation of the door electric drive; statistical analysis of production indicators. Results. The paper demonstrate the tendency to increase electricity consumption with a decrease in feed rate and vice versa, respectively for ball mills with a synchronous drive of 2500 kW based on modeling and experimental data. Increase in feed rate in the range of 10–40 t/h, there is a drop in active power by 0,48–1,57 %. The values of the specific power consumption of ~5–8 kWh/t during the grinding of apatite ore were obtained. An increase in productivity by 5 t/h on average leads to a decrease in the specific power consumption by 0,12 kWh/t. It is necessary to increase productivity in the operation of ball mills only after integrating measuring instruments into the control system of the mill, which allow an accurate assessment of the state of loading of the mill drum.

Constant current-exponential attenuation mode: A non-traditional power supply mode for electrocatalytic oxidation

Low average current efficiency (ACE) and high energy consumption (EC) have seriously hindered the industrial development of electrocatalytic oxidation (ECO) technology. Timely adjustment of the current output according to the attenuation law of the organic pollutants concentration during the reaction process can help to solve the low electrical energy utilization problem at source. In this study, a non-traditional power supply mode with “constant current-exponential attenuation” (Mode CC-EA) was proposed and applied to intermittent ECO systems. The current is first output in a constant state and then attenuated exponentially according to the decreasing law of pollutants concentration, enabling efficient use of electrons at all stages of the reaction, resulting in increased degradation rates and ACE, and reduced EC. Acidic red G (ARG) was used as the target pollutant and the degradation effects of the traditional constant current mode (Mode CC), the direct exponential attenuation mode (Mode EA) and the Mode CC-EA were compared with different evaluation parameters. The results showed that the optimized Mode EA (n4) and Mode CC-EA (70-n11) degraded ARG with an ACE of 5.28 and 6.09%, respectively, which were 1.26 and 1.45 times higher than Mode CC (4.2%). At the same time, the EC were 0.36 and 0.27 kWh gCOD−1, respectively, which were 12.2 and 34.2% lower than Mode CC (0.41 kWh gCOD−1). The parameters of Mode CC-EA were further optimized and used for the degradation of three typical dye wastewaters, crystal violet (CV), methylene blue (MB) and methyl orange (MO), to investigate their general applicability. The results showed that the optimized Mode CC-EA achieved higher decolorization rates, chemical oxygen demand (COD) and total organic carbon (TOC) removal rates for the four wastewaters, including ARG, than Mode CC within 120 min for the same total input charge. The ACE of Mode CC-EA was on average 1.3 times higher than that of Mode CC, while the EC was on average 25.3% lower. Mode CC-EA achieves efficient use of electrical energy while ensuring the catalytic effect, which is of great application for the efficient treatment of dye wastewater and significance for the industrial development of ECO technology.

Pemberdayaan Pembangkit Listrik Mikro Tenaga Surya dan Sosialisasi Resiko Pencurian Arus PLN di Desa Blang Pulo

At this time, electricity has become a primary need for the community, the existence of the State Electricity Company (PLN) is very supportive of all community activities. The high use of electricity can cause negative effects for users, where the higher the use of electricity, the greater the costs incurred. This is what triggers the emergence of things that are not wanted in society. One of them is the emergence of a desire to steal electric current. In general, people do not know what the risks are due to stealing the electric current. In addition, there are other ways to reduce excessive use of electricity, one of which is by assembling a solar micro-power plant, of which not many people know about the use of assembling the power plant. Based on this, service is carried out with the aim of providing explanations and adding knowledge to the community in the safe use of electrical energy; provide explanations and increase knowledge for the public about the risk of theft of electrical energy; increase community participation in using and protecting the environment by using alternative energy; foster a strong bond between the Blang Pulo gampong which is the closest village to the Malikussaleh University Bukit Indah campus and the Malikussaleh University academic community, especially the electric energy-saving extension team. The counseling activity on the risk of theft of PLN flows in the village of Blang Pulo is carried out in the following activity methods: Program introduction, assembly and delivery of various forms of energy, especially solar energy; The submission of a frugal living attitude according to Islamic law is accompanied by showing several verses of the Koran and hadith and conveying the risks due to stealing electric current. The expected results of this service are through the micro-solar electricity empowerment program and energy-saving counseling, It is hoped that the awareness, sensitivity and participation of lecturers and the community of Blang Pulo will grow and develop in the safe and efficient use of electrical energy so that there is an adequate supply of electricity and there will be no longer rotating blackouts caused by the limited supply of electricity from the PLN, and explain the consequences if electrical energy is stolen for personal or group use in order to be able to use electrical energy for free.

Electricity Consumption Prediction in an Electronic System Using Artificial Neural Networks

The tremendous rise of electrical energy demand worldwide has led to many problems related to efficient use of electrical energy, consequently posing difficult challenges to electricity consumers of all levels—from households to large companies’ facilities. Most of these challenges could be overcome by the accurate prediction of electricity demand. Additionally, balance responsibility includes the penalty-based financial mechanism causing extra expense for badly estimated consumption, above the allowed imbalance limits. In this paper, a method for electricity consumption prediction based on artificial neural networks is proposed. The electricity consumption dataset is obtained from a cold storage facility, which generates data in hourly intervals. The data obtained are measured for a period of over 2 years and then separated to four seasons, so different models are developed for each season. Five different network structures (ordinary RNN, LSTM, GRU, bidirectional LSTM, bidirectional GRU) for five different values of horizon, i.e., input data (one day, two days, four days, one week, two weeks) are examined. Performance indices, such as mean absolute percentage error (MAPE), root mean square error (RMSE), mean absolute error (MAE) and mean square error (MSE), are used in order to obtain qualitative and quantitative comparisons among the obtained models. The results show that the modifications of recurrent neural networks perform much better than ordinary recurrent neural networks. GRU and LSTMB structures with horizons of 168h and 336h are found to have the best performances.

Design and Development of an IoT Smart Meter with Load Control for Home Energy Management Systems.

Electricity consumption is rising due to population growth, climate change, urbanization, and the increasing use of electronic devices. The trend of the Internet of Things has contributed to the creation of devices that promote the thrift and efficient use of electrical energy. Currently, most projects relating to this issue focus solely on monitoring energy consumption without providing relevant parameters or switching on/off electronic devices. Therefore, this paper presents in detail the design, construction, and validation of a smart meter with load control aimed at being part of a home energy management system. With its own electronic design, the proposal differs from others in many aspects. For example, it was developed using a simple IoT architecture with in-built WiFi technology to enable direct connection to the internet, while at the same time being big enough to be part of standardized electrical enclosures. Unlike other smart meters with load control, this one not only provides the amount of energy consumption, but rms current and voltage, active, reactive, and apparent power, reactive energy, and power factor—parameters that could be useful for future studies. In addition, this work presents evidence based on experimentation that the prototype in all its readings achieves an absolute percentage error of less than 1%. A real-life application of the device was also demonstrated in this document by measuring different appliances and switching them on/off manually and automatically using a web-deployed application.

Analisis Pengaruh Sosial Ekonomi Terhadap Efisiensi Penggunaan Energi Listrik Sektor Rumah Tangga Di Sumatera Barat (Studi Kasus Daerah Perkotaan)

This study analyzes the socio-economic effect on the efficiency of electrical energy use in the urban household sector in West Sumatra (Urban Area Case Study) in 2020. The results of this study explain that the variables of per capita expenditure, education, employment status, age, and communication technology have a positive effect on the intensity of electrical energy use. While the variable of building ownership status is the only variable that has a negative effect on the intensity of electricity use in the urban household sector in West Sumatra. The decrease in the intensity of the use of electrical energy in the urban household sector in West Sumatra reflects the condition of efficiency in the use of electrical energy. On the other hand, the increase in the intensity of use of electrical energy in the urban household sector in West Sumatra reflects conditions in the efficient use of electrical energy.

Energy Efficiency and Distributed Generation: A Case Study Applied in Public Institutions of Higher Education

This study focused on developing a sustainability project carried out in 11 Federal Institute of Education, Science, and Technology of Goiás (IFG) campuses wherein energy efficiency and distributed generation actions were developed. Energy consumption was optimized by retrofitting the lighting system, installing a photovoltaic (PV) generation system, quantifying the building efficiency, energy monitoring, training, and qualification, and focusing on the efficient use of electric energy. We first present the Brazilian legislation that regulates the Research and Development Program in the electric energy sector. Then, we describe the case study that was applied to the educational institution. In the lighting system, 18,377 inefficient lamps were replaced by lamps with more efficient technology, with an energy saving of 867.9 MWh/year and a peak demand reduction of 309.6 kW. The proposed generation system aimed to install 3076 PV modules on the roofs of selected campus buildings, totaling 1 MWp of installed power with an average annual power generation of 1736.9 MWh/year. The total project investment was USD 1,348,768.50 and the overall cost–benefit ratio of the project was 0.68, which will result in annual savings of approximately USD 197,321.85. This corresponded to a 58% reduction in energy bills. The project proposed in this work was considered technically and economically viable within the scope of the Brazilian Energy Efficiency Program.

Recent Advances on Electrolysis for Simultaneous Generation of Valuable Chemicals at both Anode and Cathode

AbstractTo make efficient use of electrical energy in the whole electrocatalysis conversion process, the integrating of anode and cathode reactions plays a vital role. The combination of electrocatalytic anodic oxidation with cathodic reduction can not only maximize the return of energy investment, but also produces value‐added materials on both sides. Herein, in this review, recent advances in co‐electrolysis processes for valuable chemical production are systematically summarized. To be more specific, the popular hydrogen evolution reaction, carbon dioxide reduction reaction, nitrogen reduction reaction as well as nitrate reduction reaction integrated with anodic oxidation reactions to value‐added products, respectively are comprehensively reviewed, and then other paired electrolysis systems (especially for biomass‐based compounds) toward high‐value‐added chemical generation are discussed in detail. This review sheds light on the integration of electrocatalytic reductions and oxidation reactions to develop high‐value substances. To benefit researchers and facilitate the progress in this field, the challenges and future prospects for these integrated reactions are also proposed.

Correlation between electric energy use and CO2 emissions in a university campus in Brazil

Abstract The purpose of this article is to examine the correlations between greenhouse gas (GHG) by CO2eq emissions and the use of electricity on the Praia Vermelha campus of the Universidade Federal Fluminense (UFF) located in Brazil. The study favors understanding and management for the sustainability of the campus operations. The research used electricity consumption data from 2017 to 2019 and quantitative and qualitative data collected in 2020, through online research applied at Praia Vermelha campus. An exploratory and descriptive study, providing familiarity with the problem and deepening knowledge about the phenomenon, seeking a correlation between variables and proposing reflections. We observed a reduction in electricity consumption on the campus in the period surveyed from 2017 to 2019, however, there wasn’t proportional and significant reduction CO2eq emissions in the period between 2018 until 2019. During this period occurred fluctuations in the dispatches of the different power generating plants, considering renewables and fossils sources. We also found that most of survey respondents agree with to implementation of incentive programs and the dissemination of information about GHG emissions on campus to promote the engagement of the academic environment in the efficient use of electricity. We found few peer-reviewed studies dealing with GHG emissions generated in South American universities. Through a bibliographic review, we investigated the commitment of the universities to sustainability and the management of efficient use of electric energy, as well as the methodology for calculating indirect GHG emissions, in CO2eq, related to purchase energy from the System National Interconnected System (SIN) of Brazil.

Temperature and Humidity Optimization of Air Conditioner for Saving Electrical Energy Using Wireless Sensor Network Method

The consumption of electrical energy from year to year continues to increase. This is caused by the use of electrical energy and electrical equipment that inefficient. Hence, it is necessary to make efforts to save electricity efficiently. One of the efforts that have been made is research on the PPC (Programmable Power Controller) which functions as a controller for the use of electrical energy in the AC (Air Conditioner) device. Optimization of AC is also an effort to save electrical energy. This research focuses on technological efforts in the form of a room condition monitoring system design (temperature and humidity monitoring), AC mode setting scenarios, and room characterization for efficient use of electrical energy using the WSN (Wireless Sensor Network) method. The performance of the WSN sensor node as a monitoring device for room conditions which includes temperature and humidity has been successfully created using a temperature sensor, humidity sensor, signal conditioning circuit, and a programmed microcontroller. WSN sensor node results show that the DHT21 temperature and humidity sensor, which has a temperature range is 15°C-90°C, minimum humidity of 20% RH, and a maximum of 90% RH, testing works well. Meanwhile, the average time needed to carry out the node selection process until it is connected to the selected node when there is a default node, and no default node is 9.068 seconds and 9.968 seconds. Moreover, the implementation result of this device in the room area is in general, during working hours from 09:00 to 17:00, humidity conditions range from 30% - 75%, and temperatures range from 20°C - 40°C close to normal limits according to ASHRAE standard 55. In the next research, we focus on using the WSN relay to completely aim the function of the WSN sensor as a tool to reduce the electrical energy for monitoring and controlling the temperature and humidity AC.

Environmental monitoring of workplace lighting using optical Internet

The article shows the need for efficient use of electric energy in order to preserve the resources and environmental health of the planet. The necessity of the modernization of existing systems control the ambient light in the area of jobs solution to the problems of ecology eyes. The method of control and adjustment of illumination of workplaces and zones where it, is necessary is offered. A control system using the optical Internet has been developed. The simulation of the system operation was carried out, the possible amounts of saving electric energy, natural resources and reducing the negative impact on the environment were determined.

Frequency Converter for Induction Heating Oil in Oil Pipelines

Heating oil in oil pipelines to the required temperature, with the most efficient use of electrical energy,is possible with using of the induction heating method. The most important parameter of induction heating settings is frequency. For each process, there is an optimal frequency range that provides the best technological and economic results. Induction heating of the oil pipeline occurs as follows, if alternating high-frequency current is passed through the windings of the oil pipeline inductor (Fig. 1), an alternating magnetic field is formed, which intersects the metal walls of the oil pipeline and induces eddy currents in them. These currents heat the metal walls of the pipeline to the desired temperature and, accordingly, the oil. MITSUBISHI's VIPM Series Intelligent Power Transistor Modules (IPM), which is a functionally complete product, are currently developed and marketed. These transistor modules are designed for high voltages, currents and power. A frequency converter made on these transistor modules allows to heat large diameter oil pipelines. A prototype IGBT transformer was designed and manufactured. Figure 2 shows a prototype of a frequency converter with a power of 6 kW at frequencies from 2 to 20 kHz. Induction heating of metal was used as a load for the frequency converter

An Improved Load Feature Extraction Technique for Smart Homes Using Fuzzy-Based NILM

With the advancement of smart residential buildings, houseowners are increasingly interested to monitor the connected electrical loads in view of energy conservation and load management. Smart grid technology in the distribution system includes cutting-edge load monitoring applications, permitting efficient use of electrical energy. Nonintrusive load monitoring (NILM) technique is such a tool to recognize the consumption of energy for individual electrical loads in a residential system at a solitary point of measurement. In this article, an improved NILM method is proposed using a shunt passive filter installed at the source end of residential building with the help of current harmonic signature analysis. A fuzzy rule-based intelligent identification method is employed in order to detect and monitor different electrical loads considering various load features at the utility side. The major contribution of the proposed technique is the improvement in identification accuracy of household loads with multiple appliances. The connected filter additionally restricts the injected harmonics generated by the loads at the source end. The usage of the fuzzy technique also reduces the processor memory requirement than conventional machine learning techniques. Simulations backed by experimental results validate the viability of the proposed methodology.

Efficient use of electric energy in homes through multi-agent systems, case study Monterrey N.L., Mexico

This article presents an experimental research whose objective is to verify through experimentation if the systems for air conditioning and lighting homes based on the use of Multi- Agent Systems (MAS) are more efficient than traditional systems in terms of perceived environmental comfort. by people and the electricity cost generated. The proposed methodology involved the development of a housing simulator, the definition of the “environmental comfort” variable, the description of the evaluated lighting and air conditioning systems, and the definition of the proposed experiments based on independent variables that could impact on the performance of the aforementioned systems. Based on the data obtained when conducting the experiments and taking the homes in the Monterrey Metropolitan Area as a case study, it could be observed that the use of MAS is a very good alternative to reduce the consumption of electrical energy in homes taking care of not sacrificing people's comfort, thus helping to reduce the ecological impact generated by electricity generation.

Eficiencia energética dentro del sistema municipal de parques temáticos de Tijuana

Morelos Park is part of the Municipal System of Tijuana Theme Parks (SIMPATT). Due to the multiple activities carried out for the community, as well as the lack of maintenance to the electrical installation, among other factors, the cost for electricity consumption is around $ 1,022,107.00 M.N. yearly. Objective: the purpose of this project is to carry out an energy efficiency study to obtain energy performance indicators (KPI) with which improvements for the rational and efficient use of energy can be proposed. Methodology: the project was worked with the collaboration of students in renewable energy engineering program internship. The study includes the following stages: 1) gathering energy data to determine the current state of electrical energy consumption; 2) analysis of the information obtained inorder to detect improvement areas; and 3) proposals for an efficient use of electrical energy. Contribution: with the development of this study, in addition to providing a viable economic benefit to the park administration, it contributes to the integration and application of tools and knowledge of future engineers in real environment situations.

A fair and distributed congestion control mechanism for smart grid neighborhood area networks

The need for significant improvements in the management and efficient use of electrical energy has led to the evolution from the traditional electrical infrastructures towards modern Smart Grid networks. Taking into account the critical importance of this type of networks, multiple research groups focus their work on issues related to the generation, transport and consumption of electrical energy. One of the key research points is the data communication network associated with the electricity transport infrastructure, and specifically the network that interconnects the devices in consumers’ homes, the so-called Neighborhood Area Networks (NANs). In this paper, a new fair and distributed congestion control mechanism for NANs is proposed, implemented and evaluated. The main goal of this mechanism is to provide fairness in the access to the network, thus avoiding that some network nodes monopolize the use of the channels due to their higher traffic generation rate, or to their geographical position. Besides, different priorities have been considered for the traffic flows transmitted by different applications. The goal here is to provide the needed Quality of Service (QoS) to all traffic flows, especially when the traffic load is high. The proposal is evaluated in the context of a wireless ad hoc network composed by a set of smart grid meter devices. Applying our proposed congestion control mechanism leads to performance improvements in terms of packet delivery ratio, network throughput fairness between different traffic sources, packet network transit time and QoS provision.