Industrial Power Plants Research Articles

Experimental investigation of removal of flue gas emissions exhaust from municipal solid waste incinerator using photovoltaic-based electrostatic precipitator.

For the past decades, the flue gas emitted from municipal solid waste incinerator, power plant, and various industries is a permanent problem for the environment and has been affecting human life. Many flue gas filtration devices have been emerging out over the years. Although the electrostatic precipitator was an appropriate device due to high filtration efficiency and little pressure drop and energy efficiency, the cost and design of the electrostatic precipitator is a major restriction for manufacturers and end-users. With recent advances in technology, designing a cost-effective and less complex electrostatic precipitator has become mandatory. This article aims to design and develop a solar-powered cost-effective needle-plate type electrostatic precipitator which includes a static power converters and high-voltage transformer-rectifier (T-R) set with an input voltage as 230V AC, output voltage as 80-kV direct current (DC), and output current of 40mA for mitigation of flue gas emissions exhaust from municipal solid waste incinerator. The analysis of flue gas at ESP inlet and outlet has been performed using Ecotech stack sampler and flue gas analyzer. The obtained experimental results are validated with emission standards provided in the Solid Waste Management rules book, India, 2016.

Performance evaluation of industrial ethernet protocols for real-time fault detection based adaptive observer in networked control systems with network communication constraints

<p>In this paper, the performance evaluation of industrial ethernet (EtherNet/IP, EtherCAT and PROFINET IRT) networks has been studied for choosing the right protocol in real-time fault detection based adaptive sliding mode observer in networked control systems (NCSs) under time network-induced delays, stochastic packet losses, access constraints and bounded disturbances. An adaptive sliding-mode observer based fault detection is presented. The dynamic hydroelectric power plant model is used to verify the effectiveness of the proposed method based on TrueTime and Matlab/ Simulink, corroborated our predictions that an ethernet for control automation technology (EtherCAT) protocol would be more appropriate to reduce the false alarm rate and increasing the efficiency of the remote control of industrial hydroelectric power plant.</p>

Клинико-эпидемиологический анализ заболеваемости злокачественными новообразованиями и смертности от них среди работников радиационно опасных предприятий и населения, проживающего вблизи объектов атомной промышленности и ядерной энергетики

The purpose of the study is to analyze the oncoepidemiological situation in the vicinity of nuclear industry and nuclear power plants. Materials and methods of the study. The main materials of the study were the data of official medical statistics for 2012-2018 on the incidence of malignant neoplasms and mortality from them: the contingent of medical treatment organizations of FMBA of Russia in 10 closed administrative-territorial formations of Rosatom State Corporation — a research sample; total contingent served by medical treatment organizations of FMBA of Russia — data of the Federal Center for Extreme Problems Information Technology of FMBA of Russia; population of Russian Federation as a whole. An in-depth analysis of the morbidity and mortality from malignant neoplasms among employees of enterprises and the population served by medical treatment organizations of FMBA of Russia was performed using data from the Branch Cancer Registry of FMBA of Russia. Results of the study and their analysis. According to the results of the analysis an increase in the incidence of malignant neoplasms was observed in medical treatment organizations of the Federal Medical and Biological Agency of Russia in closed administrative territorial formations, in all medical treatment organizations of the Federal Medical and Biological Agency of Russia, and in the Russian Federation as a whole. In 2012-2018 the incidence of malignant neoplasms (per 100,000 population) was: in closed administrative territorial entities — 412.4 and 526.6 respectively; in all medical treatment institutions of FMBA of Russia — 328.4 and 390.1; in the Russian Federation as a whole — 367.3 and 425.5 respectively. Analysis of mortality rates from malignant neoplasms showed that in all medical treatment institutions of the Federal Medical and Biomedical Agency of Russia the mortality rate from malignant neoplasms (per 100 thousand population) in this time interval was 149.1 and 167.9 persons respectively, which is significantly lower than the all-Russian rates of 201.0 and 200.0 persons respectively. Mortality from malignant neoplasms in closed administrative territorial units amounted to 220.1 and 257.3 persons respectively, which exceeds both all medical treatment institutions of the Federal Medical and Biological Agency and the Russian Federation as a whole.

On the relationship between battery power capacity sizing and solar variability scenarios for industrial off-grid power plants

Due to its high short-term variability, solar-photovoltaic power in isolated industrial grids faces a challenge of grid reliability. Storage systems can provide grid support but come at a high cost that requires carefully evaluating power capacity needs. Battery sizing methodologies are now the focus of many studies, with a global upward trend in detailed modelling and complex optimization. However, although solar variability can be the source of uncertainties and battery oversizing, it rarely features as an input in scenarios. This study proposes several solar variability scenarios thanks to the wavelet-variability model and two variability metrics. These scenarios are employed as inputs in two sizing methodologies to compare the resulting battery capacity and draw conclusions on the role of modelling complexity and scenario identification. Results show that neglecting the photovoltaic power plant smoothing effect leads to an overestimation of the battery power support of 51%. In the other hand, complex dynamic modelling may reduce the battery power capacity by 25%. The economic analysis shows that a proper combination of variability scenario and battery sizing methodology may reduce the levelized costs of electricity by 3%.

Optimal integration of demand response programs and electric vehicles in coordinated energy management of industrial virtual power plants

Today, implementation of an efficient and economical energy management system (EMS) in industrial smart grids- given the rising trend in electrical load consumption and restrictions in ramping up the power plants' capacities- cannot be underestimated. Optimal planning avails itself of the exploitation manner of existing energy resources alongside appropriate employment of demand response (DR) programs and available electric vehicles (EV) in parking lots of immense industrial centers as storage sites in energy management systems in industrial smart grids have been seriously considered. This article introduces a new perspective in the simultaneous use of demand response loads and available electric vehicles in parking lots toward energy management of industrial virtual power plants (IVPPs) aiming at augmenting the system's profits as well as increasing the grid reliability under peak load conditions and cutting down on industrial centers load shedding. The objective function of the problem is formulated within the framework of short-term production planning for distributed energy resources (DER) and conventional ones in conjunction with DR programs and EV in such a way that the IVPPs' profits are maximized. In order to validate the performance of the proposed method, we have applied and tried on the second zone of IEEE-RTS standard grid. The outcomes accrued from various simulations point to the fact that the presence of EV within the boundaries of EV's parking lots prompts considerable increase in IVPPs' storage amount and consequent decline in exploiting full power grid capacity. Utilizing DR programs for responding load and selecting best scheduling schemes for each IVPP during various times of a day-night cycles will bring about a reduction in operation costs, de-peaking as well as an enhanced performance of EV's parking installations.

Progress in SOC Development at Fraunhofer IKTS

Despite long and successful development history of Solid Oxide Cells (SOC) continuous improvement in performance, longevity, manufacturing and system integration is necessary to bring this highly efficient technology to the market. The activities on material development and optimization at IKTS are focused mainly on enhancement of durability in SOFC, SOEC and rSOC operation and on boosting the power density for electrolysis operation. The recent results show considerable enhancement in cell longevity and power density.The SOC priorities in applied research are moving from materials to industrialization and Fraunhofer as applied R&D service provider is following this trend. During recent years considerable efforts on simplification and automation of cell and stack manufacturing processes has been addressed at IKTS. The manufacturing processes for electrode manufacturing have been adjusted for high yield automated printing on thin electrolytes with integrated quality control measures. The efficient ways for reduction of time and energy consumption for sealing process of SOC stacks have been found and shown in pilot production as well as automated assembling of components to stacks demonstrated. Furthermore the stack integration into modules utilizing stacks of different providers has been addressed during last years and reliable solutions for building of compact stack modules of higher power (2 to 10 kW) has been developed and tested with industrial partners.The increasing interest in “green hydrogen” generated multiple opportunities for SOEC technology to be considered as inherent part of industrial and chemical processes. IKTS pioneering work on coupled operation of SOEC module with Fischer-Tropsch reactor provided first demonstration of feasibility of this approach for waxes production. The process design and analysis of steel, using SOEC technology, has been performed and resulted in multiple demonstration activities in last four years. Recently novel approaches for ammonia production are addressed at IKTS showing opportunity for transportable chemicals/fuel production without need of CO2 source.High power electrolysis applications (>10 MW) will need new approaches for stack design and put higher requirements on durability. High power electrolysis applications will also open a new window of opportunities for industrial SOFC power plants. This vision is considered as outline for our future research.

Assessment of Emergency Response Preparedness in Power Plant Using FEMA Method (Case Study: South Isfahan Power Plant)

Introduction: The aim of this study was to identify all activities to be sufficiently prepared for emergencies in the power plant industries using the method of the Federal Crisis Management Organization in the south Isfahan power plant. Materials and Methods: In this research, a checklist tool of 117 questions in 9 sections based on the FEMA method has been used. Checklists were localized. To check the face and content validity of the checklists, the opinions of three technical experts were used, and to check the reliability of the research subjects, the test-retest test was used, and to measure the reliability of the checklists, Cronbach's alpha coefficient was used with an emphasis on internal correlation. The obtained alpha coefficient was 0.76. Data were analyzed using SPSS software. Results: The results showed that the power plant preparedness for general emergencies is 77.5%, winter storms and extreme cold 80%, storm 73.33%, overheating 70%, chemical storage 88.57%, earthquake 65%, Fire and explosion is 87%, flood 63.33%, and lightning 92%. The highest level of preparedness with 92% was related to the lightning checklist and the lowest level of readiness with 63.33% was related to floods. Conclusion: In general, despite the differences in the readiness of the power plant against various accidents, the average level of preparedness for all accidents is higher than average. However, a number of appropriate measures must be taken in each area and the level of preparedness must be increased in cases such as fires and explosions.

Domain Adversarial Neural Network Regression to design transferable soft sensor in a power plant

In this paper, a new approach is proposed for designing transferable soft sensors. Soft sensing is one of the significant applications of data-driven methods in the condition monitoring of plants. While hard sensors can be easily used in various plants, soft sensors are confined to the specific plant they are designed for and cannot be used in a new plant or even used in some new working conditions in the same plant. In this paper, a solution is proposed for this underlying obstacle in data-driven condition monitoring systems. Data-driven methods suffer from the fact that the distribution of the data by which the models are constructed may not be the same as the distribution of the data to which the model will be applied. This issue ultimately leads to the decline of models’ accuracy. We proposed a new transfer learning (TL) based regression method, called Domain Adversarial Neural Network Regression (DANN-R), and employed it for designing transferable soft sensors. We used data collected from the SCADA system of an industrial power plant to comprehensively investigate the functionality of the proposed method. The result reveals that the proposed transferable soft sensor can successfully adapt to new plants and new working conditions.

Recognition of onset of slug using recurrence analysis of pressure signal

Slug is produced when the roll waves on the liquid surface undergo constructive interference and the resulting wave height increases beyond the critical height. Slug flow is associated with large aeration that develops a sudden surge in pressure and associated mechanical impact on pipe wall and bends. Such phenomena lead to flow accelerated corrosion (FAC) which results in degradation of pipe thickness with time resulting in cracks from where the gas and liquid leaks. Hence, to reduce the chances of failure in industrial pipes that are mostly opaque (flow pattern cannot be visualized) and associated hazard in nuclear power plant industries, it is important to develop mechanisms for detecting the occurrence of slug flow. The present research proposes a methodology for recognizing the onset of slug in opaque industrial pipes using the pressure signals measured from the pipeline. Recurrence analysis of pressure signal establishes different kinds of recurrence plots for stratified-wavy flow and slug flow regime. Also, the transition can be identified using the recurrence quantification parameters. The quantified parameters like recurrence rate, determinism, and entropy show sharp jump in value at the onset of slug from wavy regime.

Sunflower biomass power plant by-products: Properties and its potential for water purification of organic pollutants

The present study explores possibility of using sunflower seed husk agricultural biowastes from industrial pyrolysis power plant as a feedstock for preparation of activated carbon (AC). Sunflower biomass by-products contain up to 70 % of carbon with residual seed husk components, have low specific surface area (less than 21 m2 g−1) and smaller number of oxygen-containing groups in comparison with wood-based biochars. The main process parameters of AC preparation, namely a type of an activation agent (organic solvent, HNO3, NaOH), temperature and duration of the carbonization step, were optimized in respect to adsorption efficiency. We found that simple pre-treatment of sunflower biomass with tetrahydrofuran easily converts it into biochar precursor having large number of carbonyl and hydroxyl groups. Further thermal and chemical activation of the biochar precursor results in formation of AC products with specific surface area in the range from 625 to 980 m2 g−1 and from 1000 to 1755 m2 g−1, respectively. Methylene blue (MB) was used as a test molecule for characterization of adsorption properties of the obtained AC. Kinetics studies showed that MB adsorption on AC is fast and follows pseudo-second-order model. MB adsorption on biochar and AC is well described by Langmuir isotherm, assuming monolayer formation of MB on the surface of adsorbents via chemical interactions. Adsorption capacity of AC towards MB achieved by nitric acid activation is higher (379.0 mg g−1) than capacity of benchmark commercial activated carbon from Norit. The study opens up possibilities for the development of by-product-based adsorbents via the straightforward, eco-friendly approach, with specific focus on the economic effect achieved with these materials.

The long-term effects of exposure to noise on the levels of thyroid hormones: A four-year repeated measures study

Animal studies have suggested that noise exposure can be associated with changes in the levels of thyroid hormones. However, no evidence is available that quantified this effect on humans. This study aimed to quantify the long-term effects of exposure to noise and its different frequencies on thyroid hormone levels. A four-year repeated measures study was performed among male workers of a thermal power plant industry from 2016 to 2020. Overall, 1032 observations were examined. To determine exposure to noise for each participant, the 8-hour equivalent sound pressure levels (Leq) were measured at weighting channels of Z, A, and C for an octave-band including low (31.5, 63, 125 Hz), middle (250,500, and 1000 Hz), and high (2, 4, 8 kHz) frequency noises. The fasting blood samples were also taken to determine thyroid hormone levels (TSH, Thyroid-stimulating hormone; T4, Thyroxine; T3, Triiodothyronine). The mixed-effects linear regression was applied to specify the percent changes in the levels of thyroid hormones. The prevent changes (95% confidence interval) of T4, T3, and TSH levels per a 10-dB increase in Leq based on the full adjusted model were estimated −0.90 (−1.68, −0.11), −0.70 (−1.44, 0.05), and 3.94 (0.58, 7.40), respectively. The highest percent changes in the T4 and TSH hormones were identified at 500 Hz (percent change = −1.08 and 95% CI = −1.93, −0.23) and with little difference at 1 (percent change = 4.73 and 95% CI = 0.91, 8.70) and 2 kHz (percent change = 4.72 and 95% CI = 1.13, 8.52) frequencies, correspondingly. Our findings indicated that long-term noise exposure may be associated with changes in the levels of thyroid hormones. Although more studies are warranted, noise-induced thyroid dysfunction may play a significant role in the biological pathways of the effects of noise on the human body.

Mechanical, microstructure, and hot corrosion investigations on P22/P91 dissimilar tungsten inert gas weld

The P22/P91 dissimilar weld increasingly used in supercritical power plan boilers calls for experimental investigations on its properties for enhanced performance in high-temperature service conditions. This study investigates the weld joint between P22/P91 steel using tungsten inert gas process employing a P22 matching filler metal. The fabricated weld has been characterized for mechanical properties of tensile strength and microhardness. The microstructural examination has been carried out in the weld region, transition zones, and base metals. The weld was exposed to a temperature of 700 °C in the environment of molten salt (50% Na2SO4 + 50% NaCl) to quantify the effect of high-temperature corrosion at its sight of application. Furthermore, the welds were also shot-peened and its effect on corrosion properties has been examined. The corroded specimens were examined using X-ray diffraction and scanning electron microscope to analyze the oxide scale produced upon exposure to high temperature in a controlled environment. The P22 base metal was found to oxidize more severely as compared to the weld fusion zone. Shot peening improves the corrosion resistance of weld by 7.56%. The results of this study comprehensively cover multiple aspects of weld integrity as per the service conditions, with its results having significant application in the power plant industry.

Spread Spectrum Techniques for Measurement of Dielectric Aging on Low Voltage Cables for Nuclear Power Plants

Spread spectrum time domain reflectometry (SSTDR) is used to test dielectric aging of a cable type used in the nuclear power plant industry. A 16 AWG twisted pair shielded cable is thermally aged to the equivalence of 50 years in service, and SSTDR data are collected at 10-year intervals during the aging process. The SSTDR data shows that velocity of propagation and characteristic impedance decrease as the cable ages (increasing the electrical permittivity), making them suitable markers for monitoring aging and demonstrating the ability of SSTDR to determine this aging.

Marketing analysis of tiger shrimp (Penaeus monodon) (case: Belawan Sicanang Village, Medan Belawan District, Medan, North Sumatra)

Shrimp is an important export commodity in North Sumatra. Demand for shrimp will continue to increase with the increasing need for consumption and industrial needs such as food, pharmaceuticals, and cosmetics. The difference in prices at the farmer level with market prices and export prices, and fluctuations of price are faced by shrimp farmers. The objectives of the research are to examine the marketing channel, marketing function, marketing costs, marketing margin, share margin, price spread and the obstacles faced in marketing. The research area is determined purposively in Sicanang Village. The sampling method used is a census, with 37 sample size. Quantitative and qualitative analysis are used to analysis. The results showed that there are 3 marketing channels in the area, and farmers perform 6 marketing functions, while collector traders and retailers perform 8 marketing functions. There is a difference in price and share margin in each channel. Price in channel I is highest while share margin of farmers in channel III is highest. The lack of seed fires and infrastructure, unorganized cooperatives, wet weather during the rainy season, waste from Electric Steam Power Plant Industry, the fluctuation of selling price are the obstacles faced in the research area.

Synthesis of Aluminum Foam and Its Application in Reducing Noise Pollution in a Gas Power Plant Under Construction

: The noise pollution is among the major challenges of installing the equipment and development of industries. Controlling produced noise in small power plants is a necessity for its development. The present study was conducted to predict the reduction of exhaust noise pollution in a 25 MW gas power plant using the synthesized aluminum foam in a gas power plant under the construction. The noise pollution was measured in a similar gas power plant to predict noise sources in the Tarasht gas power plant. One centimeter thick aluminum foam was synthesized with an average size of about 300 - 500 µm and a porosity of 90%. The impedance tube was used to determine the sound absorption coefficient of aluminum foam. Then, the sound pressure level was predicted by ANSYS software before and after applying aluminum foam in a simulated environment on the exhaust duct wall. Results showed that with the 10 cm of thick insulation layer includes punctuating stainless steel plates, refractory fabric, and closed-cell aluminum foam at high frequency, at least an 8 dB reduction in the noise pollution was obtained the exhaust duct wall compared to the duct wall without the aluminum foam. Aluminum foam can be used as a suitable sound insulator in the power plant industry. Furthermore, it has various advantages over other insulators, such as the resistance to moisture, heat, and vibration attenuation due to noise, proper high rigidity at a low weight, and most importantly, less environmental pollution.

Source profiles and emission factors of organic and inorganic species in fine particles emitted from the ultra-low emission power plant and typical industries

Accurate source markers, source profiles and species-based emission factors (EFs) are currently the key limitations for source apportionment and emission inventory researches. Fine particles (PM2.5) were collected from stack gases of eight types of stationary sources with a dilution sampling system. The mass percentages and EFs of 89 kinds of chemical species in PM2.5 including water-soluble ions, elements, carbonaceous species and molecular organic species were obtained. Results showed that water-soluble ions (8%–54%) and elements (5%–45%) were the dominant chemical species. Palmitic acid (0.19%–0.62%) and stearic acid (0.21%–0.59%) were the most abundant organic species. PM2.5 source profiles of the eight sources were different from each other with the coefficient of divergence values all higher than 0.4. The addition of organic species could help to further distinguish them. The indicatory chemical components and specific species ratios were obtained by both a statistical equation and randomForest. These indicatory chemical components (e.g. F− for glass factory) and species ratios (e.g. K+/Mg2+ & OC/Mg for pharmaceutical factory) improved the current knowledges of their indicatory performance in source identification of ambient PM2.5. The EFs of PM2.5 from the eight stationary sources ranged from 0.019 to 51.6 kg t−1 of fuel used. The EFs of PM2.5 from the pharmaceutical factory were about 70–2600 times higher than other seven types of sources due to the lack of dust-removing devices. Certain EFs measured in this study were about 10–36,000 times lower than corresponding EFs estimated in previous studies which didn't perform field measurements, indicating the necessity for improving emission inventories continuously. This study contributes to identifying emission sources of PM2.5 especially for subtypes of stationary sources and to establishing species-based emission inventories.

Determining the Optimal Method for Analyzing Specific Accidents (Case study: Falling accidents in the construction project of a combined cycle power plant)

Introduction: Today, accident investigation and analysis is an important component of safety programs in preventive measures. Incident investigation involves collecting all the information and actual interpretations of an incident, analyzing information to find out the causes of the incident, and writing an incident report.
 Methods: This descriptive-analytical article was conducted to determine the most important criteria for investigating and selecting the techniques of accident investigation as well as analyzing and selecting the best method of accident analysis in the events of the power plant industry. In this research, previous research studies were studied and expert opinions were collected with regard to the most important criteria for choosing a specific accident analysis method. Later, the 4 accident analysis methods was applied in a special power plant accident and the decision matrix was designed based on the strengths and weaknesses of the model formation. Finally, these four methods were prioritized using the Topsis decision-making method.
 Results: The key factors in investigating the main criteria for selecting an incident analysis method included the ability to understand the sequence of events in the model, identifying the root causes, descriptiveness and ability to provide reasons for managers and specialists, the need for technical experts, and the time criterion. The TRIPOD BETA method was selected as the best method for analyzing the power accidents.
 Conclusion: The TRIPOD BETA method was introduced as the most effective method for investigating power plant accidents.

Study of Soil Nitrogen Level and Splitting on Nutrient Uptake around the Industries of Chhattisgarh, India

For nitrogen analysis first and second soil samples were collected around the power plant and sponge iron plant of Siltara area, the third soil sample taken from crop area around rice mill of Bemetara district (India). Samples were collected from 15 cm. depth during post monsoon 2018. Result of chemical analysis of these samples indicates that the soil sample is found to be nitrogen deficient. Sample collected from 50 to 4500 meter around rice crop field. Available N content was raised continuously from 221.79 kg ha -1 (50 m) to 293.42 kg ha -1 (4500 m.) around sponge iron industry, 233.11 kg ha -1 (50 m) to 302.13 kg h -1 (4500 m) around power plant industry and 200.70 kg ha -1 at 50 m and 335.23 kg ha -1 at 4500 m around rice mill industry. This analysis is done by Nitrogen Auto Analyzer. Maximum value of nitrogen with phosphorus - potassium uptake observed in 150 kg of N ha -1 which is available in five split as 6S (10:10:10:20:05 at 11-13, 10, 30, 50, DAS & FL) and the concentration of higher soil available nitrogen also observed in 150 kg of N ha -1 described in following five split as 6S (10:10:10:20:05 at 11-13, 10, 30, 50, DAS & FL), maximum soil available phosphorus - potassium was observed in following three split as 1S (10:40:20 at 0, 20, 50 DAS) applied in 100 kg of N ha -1 .

Quo vadis steam power plant in Indonesia? Implementation of GE-McKinsey matrix analysis on creating the strategy for steam power plant business entity

Although today Indonesia develops renewable energy actively, the energy mix for Steam Power Plant is still dominant at 27% based on RUPTL 2019-2028. Lots of entities are involved in business related to a steam power plant in Indonesia, ranging from mining companies, coal transport companies, and steam power plants owned by PLN, PLN’s subsidiaries, and IPP. This paper aims to conduct an internal and external analysis of the condition of the steam power plant industry and market in Indonesia and to determine the strategies and policies for the management of entities involved in business related to Steam Power Plant. Internal and external analysis is performed using PESTEL Analysis, Porter Analysis and Resource Based Analysis. Then, an analysis is conducted to evaluate the current condition of the portfolio using the GE McKinsey Matrix Analysis to assess the business strength and industry attractiveness of each entity. Based on those analyses, IPP Coastal Steam Power Plant should not only develop Medium Rank Coal-based power plants, but also HRLS (High-Risk Low Sulphur) coal, which is still large in reserves and coal prices tend to fall and has the potential to be sold on the domestic market rather than being sold to the import market (which tends to start leaving behind fossil plants and increasing the share of renewable energy). IPP Mine Mouth Power Plant should start to use Medium Rank Coal (not only Very Low-Rank Coal), considering that there is still a lot of Medium Rank Low Sulphur (MRLS) and Medium Rank High Sulphur (MRHS) coal. As a coal concession owner, not only looking for low-rank concessions or very low-rank coal to be acquired but also looking for medium coal rank (MRLS or MRHS) concessions, especially in Sumatra, which at present valuation will be at a low value.

A secured tor local network for nuclear power plant industry

The risk of cyber-attacks on a country has grown drastically. The cyber security risks against critical power infrastructure seem to be worsening. Obviously, any sort of assault on an atomic plant is very concerning. An attack that allows hackers to manipulate the system that control a nuclear reactor, while very difficult, could have very serious consequences. The main reason for this attack is vulnerabilities in local computer networks in power plants. Which has direct access to the internet without any major protection against cyber-attacks like phishing attacks against power plant employees, virus injection tools etc., As the main defense against this attacks is to make power plant networks and employees anonymous to the internet and making sure that no one is tracking the employees which can lead to loss of sensitive information of the plant. The Tor onion networking protocol is best suitable for these types of attacks on employees and computer networks in the power plant. Since providing Tor network for individual employee in practically impossible. Our projected work aims to establish an onion router which provide overall coverage of computer systems and employees which has access to power plant inside the perimeter of power plant. To simulate the plant local networks we construct an internet router using raspberry pi which is configured with Tor onion routing protocol access the internet by computers connected to our Router.