Dryer Unit Research Articles

A probabilistic framework for identifying anomalies in urban air quality data.

Just as the value of crude oil is unlocked through refining, the true potential of air quality data is realized through systematic processing, analysis, and application. This refined data is critical for making informed decisions that may protect health and the environment. Perhaps ground-based air quality monitoring data often face quality control issues, notably outliers. The outliers in air quality data are reported as error and event-based. The error-based outliers are due to instrument failure, self-calibration, sensor drift over time, and the event based focused on the sudden change in meteorological conditions. The event-based outliers are meaningful while error-based outliers are noise that needs to be eliminated and replaced post-detection. In this study, we address error-based outlier detection in air quality data, particularly targeting particulate pollutants (PM2.5 and PM10) across various monitoring sites in Delhi. Our research specifically examines data from sites with less than 5% missing values and identifies four distinct types of error-based outliers: extreme values due to measurement errors, consecutive constant readings and low variance due to instrument malfunction, periodic outliers from self-calibration exceptions, and anomalies in the PM2.5/PM10 ratio indicative of issues with the instruments' dryer unit. We developed a robust methodology for outlier detection by fitting a non-linear filter to the data, calculating residuals between observed and predicted values, and then assessing these residuals using a standardized Z-score to determine their probability. Outliers are flagged based on a probability threshold established through sensitivity testing. This approach helps distinguish normal data points from suspicious ones, ensuring the refined quality of data necessary for accurate air quality modeling. This method is essential for improving the reliability of statistical and machine learning models that depend on high-quality environmental data.

Analisa Keandalan Instrumentasi Pada Pulp Dryer Unit Menggunakan Metode Reliability Centered Maintenance (RCM) di PT. Indah Kiat Pulp and Paper Perawang

<p><strong>PT. Indah Kiat Pulp and Paper Perawang, a backup of Sinarmas, is one of the biggest companies concurring to the Indonesia Stock Trade. One of the most critical units in the production process is the pulp dryer unit, with an estimated production capacity of 657 tons per day. Based on the data obtained, the pulp dryer unit frequently experiences failures that disrupt the production process. This ponder utilizes the RCM (Reliability Centered Maintenance) strategy to decide which gadgets within the mash dryer unit are most inclined to issues by calculating the RPN (Risk Priority Number) for each component, assessing the unwavering quality level of these gadgets, and giving proposals for an ideal support plan. The think about comes about appear the RPN values for mash dryer instrumented from most elevated to least as takes after: temperature <em>sensor</em> at 392, press transmitter at 288, level transmitter at 280, stream transmitter at 252, solenoid valve at 252, consistency transmitter at 245, and on/off valve at 210. The unwavering quality values for each instrumented component that did not meet the edge set by the SII (Indonesian Industrial Standards), which is 0.7, demonstrate the require for support activities. The recommended maintenance schedule for the instrumentation is as follows: temperature <em>sensor</em> at 252 days, press transmitter at 352 days, level transmitter at 352 days, flow transmitter at 352 days, solenoid valve at 352 days, consistency transmitter at 293 days, and on/off valve at 440 days.<em></em></strong></p><p><strong><em>Keywords</em></strong> – <em>FMEA, Inst</em><em>rumentation</em><em>, </em><em>Reliability</em><em>, Pulp Dryer, RCM.</em></p>

An innovative sustainable multi-generation energy system (electricity, heat, cold, and potable water) based on green hydrogen-fueled engine and dryer

Increasing renewables' portion in energy matrix around the world has made the scientists to propose innovative techniques for recovering the available waste heat of energy systems to produce excess energies in the Waste-to-X framework. This study proposes a green sustainable multi-generation energy system (MES), producing power, heat, cold, and potable water, driven by a hydrogen-fueled gas engine. The engine's heating potential is recovered to run some bottoming systems comprising proton exchange membrane electrolyzer (PEME), absorption/electrical chiller cycles (ACC/ECC), organic Rankine cycle (ORC), dryer unit, heat pump cycle (HPC), and reverse osmosis desalination unit. The combination of ACC with dryer and HPC is an innovative idea which utilized to produce heating load in this study. A detailed sustainability evaluation framework (technical and eco-environment) is derived to approve performance of the MES. The construction feasibility of the MES in different climatic conditions is sought by considering 5 case study cities around the world. Afterwards, best working fluid of the ECC/HPC and ORC is selected and then the sensitivity of the MES performance to design variables is investigated trough a comprehensive parametric study. Results illustrated that the MES shows the best performance in the city of Willington in which the emission of 84.8 tons of CO2 is prevented annually which is equivalent to saving of 16,291.6 m3 natural gas. The working fluid selection outputs proved that considering R22 and R123 for ECC/HPC and ORC leads the best techno-economic performance. The sensitivity study demonstrated that the highest and lowest influence of the MES's techno-economic performance is related to the ECC evaporator and ORC turbine temperatures, respectively. So that, increasing ECC evaporator temperature led to a relative variation of 8.2%, 4.5%, and 7.5% in energy recovery factor, exergy efficiency, and levelized cost of productions, respectively.

Innovative Solar Air Dryer Designs for Agricultural Products-A Review

Indeed, agricultural technological development plays a crucial role in the agricultural commercialization and socio-economic transformation of India. Enhancing farming through solar dryers has been considered to be a key strategy for enhancing food security and greater socioeconomic change. Drying removes the majority of the product’s moisture content; it is a crucial post-harvest technique for agricultural goods that may increase quality, decrease losses during storage, and save transportation costs. The literature study provides evidence that solar dryers that use phase change material and operate in indirect or mixed modes are more effective than direct drying solar dryers in drying agricultural goods. This review study’s main objective is to give an overview of the recent developments in solar dryer technology achieved by different researchers. Innovative solar dryer designs for drying agricultural products are reviewed in this present work. A thorough analysis of the design, operation, uses, and comparison of solar dryers is conducted. The solar dryers design their modifications and different techniques to improve thermal performance are studied thoroughly. Hybrid solar dryer with CPC, ETC, photovoltaic technology can work as an independent unit and proves the better thermal performance dryer unit as compared to conventional dryers. The new improvements to hybrid dryers are also discussed in detail. Present study will be helpful for developing an economical dryer with variety of drying parameters and different agricultural products.

Energy and exergoeconomic assessments of a renewable hybrid ERC/ORC integrated with solar dryer unit, PEM electrolyzer, and RO desalination subsystem

In this investigation, a zero-dimensional model of a renewable generation system encompassing a solar-geothermal driven Proton Exchange Membrane (PEM) electrolyzer integrated with Organic Rankine Cycle (ORC), Ejector Refrigeration Cycle (ERC) and Reverse osmosis (RO) unit is expressed with respect to energetic, exergetic, economic, and exergoeconomic points of view. Cooling and heating energies, electricity, distilled water, Hydrogen (H2), Oxygen (O2) are the key products of the mentioned system. In order to acquire the influences of the solar collector numbers, area ratio, and pressure drop of the ejector and working fluid of solar collectors on the efficiency of the hybrid unit, a set of equations were coded in MATLAB and Engineering Equation Solver (EES). The exergy destruction rate, exergy efficiency, and exergy destruction ratio of each subsystem and exergy flow diagram of all subsystems were evaluated in this study. Afterward, the results of the sensitivity analysis were used for multi-criteria optimization in three various layouts that the LINMAP as well as the fuzzy TOPSIS decision makings and Gray Wolf Optimizer (GWO), are considered to get the optimal result. The results have indicated that the main variables analyzed are more affected by the variation in the number of the flat plate solar collector. Besides, in the second optimization scenario, the TOPSIS selects the optimal solution of exergy efficiency and unit exergy cost of the product of 3% and 19.77 $/Gj, while the LINMAP selects 3.001% and 19.80 $/Gj point.

Stiffness and Creep Properties of HRS-BC Powered by Palm Shell Gasification in Dryer Unit

Roads are infrastructure that is very important in supporting people’s daily lives. With the high growth rate of traffic, the traffic load will cause damage to the road pavement in the form of deformation (rutting) and fatigue. The performance of an HRS-BC asphalt mixture was investigated to determine the asphalt’s resistance to damage. HRS-BC asphalt mixture specimens were produced by a palm shell AMP and by a diesel AMP. The performance of the HRS-BC asphalt mixture was tested in the laboratory with indirect tensile stiffness modulus (ITSM) and dynamic creep test. The results showed that the HRS-BC asphalt mixture sample produced by the palm shell AMP had better stiffness than the HRS-BC asphalt mixture produced by the diesel AMP. Both the samples of the HRS-BC asphalt mixture produced by the palm shell AMP and by the diesel AMP were not deformed when given a standard load of 100 kPa and 3,600 load repetitions.

Energy and Environmental Assessment of Cogeneration in Ceramic Tiles Industry

Ceramic tile manufacturing is a highly energy-intensive process. Concerns about carbon emissions and energy costs make energy management crucial for this sector, which holds a leading role in Italian industry. The paper discusses the energetic and environmental performance of cogeneration (CHP) in the ceramic industry, where prime mover exhaust heat is supplied to a spray-dryer system, contributing to the satisfaction of the thermal demand and decreasing natural gas consumption. A thermodynamic model of a dryer unit, validated against real data, has been set-up to provide a detailed representation of the thermal fluxes involved in the process. Then, the thermal integration with two types of CHP prime movers of similar electric size (4 MW) is investigated. Energetic results show that the gas turbine can contribute up to 81% of dryer thermal consumption, whilst internal combustion engine contribution is limited to 26%. A methodology was ad-hoc defined for the environmental assessment of CHP, accounting for global (CO2) and local (CO and NOX) emissions. Results confirm that CHP units guarantee reduction of CO2 and NOX compared to separate generation, with maximum values equal to 81 g/kWhth and 173 mg/kWhth, respectively; CO emission is decreased only in the case of gas turbine operation, with savings equal to 185 mg/kWhth.

Thermoeconomic assessment of a renewable hybrid RO/PEM electrolyzer integrated with Kalina cycle and solar dryer unit using response surface methodology (RSM)

In this research, a non-dimension model of renewable generation system encompassing a solar-geothermal driven Proton Exchange Membrane (PEM) electrolyzer in integration with Kalina cycle (KC), Single-effect Absorption Refrigeration Cycle (SEAC), and Reverse Osmosis (RO) unit is introduced. Cooling and heating loads, electricity, distilled water, Hydrogen, Oxygen, and dry air are the main products of the mentioned system. This scheme is investigated from the energetic, exergetic, and exergoeconomic (3E) standpoints by writing a code in engineering equation solver (EES) and is totally validated by the literature survey. Subsequently, to enhance the operating condition of the CCHP system devised, six decision variables are designated for the optimization procedure using the RSM via the Minitab software; the response variables are sum unit cost of products (SUCP) and exergetic efficiency. Here, the desirability of the accuracy of the regression models attained from the analysis of variance for the objective functions is entirely verified. Moreover, the optimal condition reveals the best exergetic efficiency and SUCP of 31.71% and 1.75 $/GJ, respectively.

Identifying the optimum operating conditions for the integration of a solar loop to power an industrial flash dryer: Combining an exergy analysis with genetic algorithm optimization

With the objective to reduce fossil fuels consumption and greenhouse gas emissions, the integration of solar thermal energy into energy-intensive processes represents the most effective solution. This paper investigates the best solar integration scenarios to an industrial dryer unit through an exergy analysis. The exergetic balance for each subsystem is conducted, and a sensitivity parametric analysis was carried out. The optimization using the Genetic Algorithm was then conducted to define the optimum solar operating conditions. The exergetic evaluation showed an important exergy destruction at the dryer and combustion chamber, accounting for 58% and 42% of the inlet exergy flow, respectively. The sensitivity analysis outcomes showed that the exergy efficiency is clearly increased by increasing both drying temperature, decreasing the inlet moisture content, with preheating the combustion air temperature. Considering these variables, the optimization problem enabled enhancing the exergy efficiency by 40% and 30% for the overall process and flash dryer, respectively, when increasing drying temperature to 850 °C, an inlet moisture content of 14.9% and a preheated air combustion of 150 °C. Finally, the solar field could be integrated to the industrial dryer to preheat the ambient air for the combustion chamber to the setpoint temperature of 150 °C.

Analytical modeling and performance analysis of a solar cooker cum dryer unit

ABSTRACT In this work, analytical modeling and theoretical analysis of a recently developed unique design of a solar cooker cum dryer (SCCD) have been conducted to predict its thermal characteristics under a given set of input parameters. The energy balance equations of the main components of the cooking compartment are iteratively solved to determine the unknown temperatures of the SCCD unit when it operates as a pure cooker and when the same acts as an air heater for the food drying compartment. The influence of design parameters such as air velocity, glazing thickness, spacing between glazing, back reflector, and surface coatings of the absorber plate has been studied and quantified. The analytical model has been tested by simulating and validating the modeling results with the experimental data for different days of the year Moreover, further experiments are conducted on the SCCD in drying mode to quantify its thermal performance in natural versus forced convection of the airflow through the SCCD and to demonstrate its effectiveness in comparison to open sun food drying. The obtained results show that the SCCD unit attain cooking and drying temperatures in the suitable range of 80–135℃ and 50–70℃, respectively. The experimental results of the SCCD unit as a food dryer revealed that the Page model with higher adequacy is found to be the best fit for all three modes of food drying in the SCCD unit. It is found that in comparison to drying of tomatoes in the open sun which took ⁓13 hrs, forced convection of airflow in the SCCD unit resulted in the least time of ⁓7.5 hrs to achieve the desired level of moisture content. The energy and exergy efficiency of the SCCD in cooking mode was estimated to be in the range 2.1–15.5% and 1.1–5.6%, while it was 7.5–16.5% and 26.6–50.7% in drying mode, respectively.

Application of The Rotary Dryer Machine in The Semi Modern Herbal Herbs Business Group in Nguter District, Sukoharjo Regency

The purpose of this community service program is to apply the rotary dryer unit to the production of herbal herbs that do not require solar heat. Target on the management aspect, partners are able to manage business with standard business management. Partners have an entrepreneurial spirit and have a strong spirit. Activities are carried out with coordination and discussion with partners. A meeting to determine the capacity of the rotary dryer unit and the needs of electrical energy and heat sources. Whereas for the herbal medicine business entrepreneur group, coordination was carried out to determine the material and motivation management training to foster an entrepreneurial spirit. The rotary dryer unit consists of two main parts, namely: air heater and rotary dryer cylinder. Air heater is made from a range of 3/4 inch diameter mild steel pipes, while the shell wall is made of mild steel plates with 1.2 mm thickness. For air plants centrifugal blowers are used with a 2 inch pipe diameter. A heat source is used by a single burner with LPG fuel. The rotary dryer cylinder, is a concentric tube, from a perforated stainless steel plate used as a place for dried simplicia. While the outer tube is made of mild steel plates. The tube is rotated using a 200 Watt one pasha electric motor. Improved business management with standard management to improve marketing efficiency and development.

Performance Evaluation of Solar Air Collector by Chimney Effect for Drying Applications

Abstract Solar air collector is one of the main components of a solar dryer unit, which supplies the conditioned air for processing the perishable edible items. Various techniques have been employed to improve the thermal efficiency of the collector system, such as extended surfaces, packed beds, artificial roughness, etc., however, the cost of construction is higher. Therefore, this study was focussed on the collector efficiency enhancement using a chimney without applying the aforementioned. A single-pass solar air collector coupled with drying chamber and chimney was utilized for the experiments. The experiments were conducted in September. The average values of the solar radiation intensity, ambient temperature, temperatures inside the dryer, collector efficiency were graphically presented. The experimental data reported the maximum values of the outlet temperatures for the solar air collector with and without a chimney to be 52.8 °C and 57 °C, respectively. The collector thermal efficiency with and without the chimney was found to vary from 29.6% to 64.8% and from 26.9% to 44.8%, respectively. Furthermore, it was noticed that, with the chimney, the temperature inside the dryer showed uniform tendency.

Experimental study on drying kinetics for Zingiber Officinale using solar tunnel dryer with thermal energy storage

This research reports an experimental analysis performed using a forced convection solar tunnel dryer integrated with eco-friendly low-cost sensible heat storage material. The experimental setup consists of a single pass air heater and solar tunnel dryer for drying Zingiber Officinale (Ginger). The dryer unit was tested for a two-kilogram ginger load at 12.9165° N, 79.1325° E in the hot air temperature range of 33–74 °C. Performance of drying process for two novel configurations (with sensible heat storage and north wall reflection) and two modes (active and passive) were analyzed. The raw ginger samples initially had a moisture content of 80–82% (w.b.) and were reduced to 9–10% (w.b.) in two successive days. Sensible heat storage found to increase the average temperature of the dryer by 10 °C during the drying process. The results conclude that active drying mode with and without sensible heat storage has the fastest moisture removal rate than passive drying. Amidst the eleven drying models, the models of Midilli – Kucuk and Wang – Singh had best described the kinetics of the product drying. The overall efficiency of the dryer system and specific energy consumption of the ginger was 45% and 5.56 kW-h, respectively for passive mode. The SEM analysis carried out on different micron pore sizes of dried ginger attained uniform moisture removal with a homogeneous surface and a clear fibrous structure.

The Application of a Data Acquisition System and Airflow Control System in an Air Dehumidified Drying Machine

There are various possible drying methods used in seed drying. The tray dryer with an air dehumidifying system was used to produce various agricultural seeds. Seed drying by using an optimal air temperature requirement with low relative humidity can accelerate the drying process. To meet the specific drying requirement for agricultural products, air dehumidifying process, measurement data record, and airflow control were conducted in the drying machine. The objective of this research was to apply the data acquisition system and airflow control for seeds drying. The drying machine consisted of an air dehumidifying unit, data acquisition and airflow control unit, and a tray dryer unit. The air dehumidifying system was used to minimize the moisture in the drying air. The data acquisition system was used to monitor temperature and relative humidity distribution along with the drying machine. While the airflow control system was used to confirm that the requirement of air dehumidifying process was reached. A tray dryer used dehumidified air as the air input for the seed drying process. The drying machine was successfully reaching the optimal condition for drying with the temperature and relative humidity distribution were recorded. The optimal condition for the seed drying was reached by using this air dehumidified drying machine.

Thermal performance and environmental assessment of a hybrid solar-electrical wood dryer integrated with Photovoltaic/Thermal air collector and heat recovery system

Improving the energy efficiency of the drying industry is considered as one of the most efficient and promising ways for reducing carbon emissions from the industrial sector. In this context, the present work is aimed at investigating numerically the thermal performance and the environmental impact of a novel forced-air convection hybrid dryer for wood drying industry under realistic environmental conditions. The proposed dryer system consists mainly of a Photovoltaic/Thermal (PVT) solar air collector for thermal and electrical energy production, an insulated drying chamber, an air-to-air heat recovery system and fans. To simulate the functioning of the dryer system, a transient model based on energy and mass equations is developed and validated with experimental data. Annual dynamic simulations were carried out under weather conditions of the Ajaccio city and the effect of recovering waste heat from the dryer unit during both solar drying and hybrid drying processes was presented and analyzed. Results show that using the heat recovery system with an effectiveness of 0.8 leads to reduce the solar drying time by about 40% in summer and up to 32% in winter. For hybrid drying functioning, integrating of both heat recovery system and PVT air collector reduces the energy consumption of conventional dryer up to 86.5% during summer and up to 73.5% during winter. Finally, it was shown that the proposed hybrid wood dryer with PVT air collector and heat recovery system is suitable for wood drying industry and leads to improve the energy efficiency of conventional dryers and to reduce annually the amount of CO2 emissions up to 78.5%.

A novel combined biomass and solar energy conversion-based multigeneration system with hydrogen and ammonia generation

In the present study, an innovative multigeneration plant for hydrogen and ammonia generation based on solar and biomass power sources is suggested. The proposed integrated system is designed with the integration of different subsystems that enable different useful products such as power and hydrogen to be obtained. Performance evaluation of designed plant is carried out using different techniques. The energetic and exergetic analyses are applied to investigate and model the integrated plant. The plant consists of the parabolic dish collector, biomass gasifier, PEM electrolyzer and hydrogen compressor unit, ammonia reactor and ammonia storage tank unit, Rankine cycle, ORC cycle, ejector cooling unit, dryer unit and hot water production unit. The biomass gasifier unit is operated to convert biomass to synthesis gaseous, and the concentrating solar power plant is utilized to harness the free solar power. In the proposed plant, the electricity is obtained by using the gas, Rankine and ORC turbines. Additionally, the plant generates compressed hydrogen, ammonia, cooling effect and hot water with a PEM electrolyzer and compressed plant, ammonia reactor, ejector process and clean-water heater, respectively. The plant total electrical energy output is calculated as 20,125 kW, while the plant energetic and exergetic effectiveness are 58.76% and 55.64%. Furthermore, the hydrogen and ammonia generation are found to be 0.0855 kg/s and 0.3336 kg/s.

Quantitative and Semiquantitative Health Risk Assessment of Occupational Exposure to Styrene in a Petrochemical Industry

BackgroundStyrene is one of the aromatic compounds used in acetonitrile–butadiene–styrene (ABS) producing petrochemicals, which has an impact on health of workers. Therefore, this study aimed to investigate the health risks of styrene emitted from the petrochemical industry in Iran.MethodsAir samples were collected based on NIOSH 1501 method. The samples were analyzed by the Varian-cp3800 gas chromatograph. Finally, risk levels of styrene's health effects on employees were assessed by the quantitative method of the U.S. Environmental Protection Agency (U.S. EPA) and the semiquantitative way by the Singapore Occupational Safety and Health Association.ResultsBased on the results, the employees had the highest average exposure to styrene vapors (4.06) in the polybutadiene latex (PBL) unit. Therefore, the most top predictors of cancer and non-cancer risk were 2.3 and 7.26, respectively. Given that the lowest average exposure (1.5) was in the dryer unit, the prediction showed a moderate risk of cancer (0.8) and non-cancer (2.3) for the employees. The EPA method also predicted that there would be a definite cancer risk in 16% and a probable risk in 76% of exposures. However, according to the semiquantitative approach, the rate of risk was at the “low” level for all staff. The results showed that there was a significant difference (p < 0.05) between the units in exposure and health risk of styrene (p < 0.05).ConclusionGiven the high risk of styrene's health effects, appropriate control measures are required to reduce the exposure level.

Prediction of the velocity of air flow by dimensional analysis for drying application

Drying is a process that is widely used in the food processing industry. There are several factors that influence during the drying process, one of which is the speed of air flow in the dryer unit. The air flow velocity inside drying unit can occur by forced airflow and natural airflow. Natural air flow is the flow of air created due to the difference in pressure caused by differences in temperature and air density, so there is no thrust by the blower. This study aims to estimate the natural airflow velocity in modeling system unit. This modeling system unit has a source of heat energy that can be used to adjust the room temperature level of the heat generator, and is equipped with a chimney that has an adjustable height and diameter. This research was conducted experimentally, through empirical mathematical model development using dimensional analysis. The variables measured include: heat generator room temperature (TS), system outside air temperature (TL), chimney diameter (d), chimney height (H), exhaust air flow velocity (V). The results of this study obtained mathematical model of airflow velocity. The mathematical model showed good agreement due to measurement results with average of errors was about 9%.

Development of a novel combined energy plant for multigeneration with hydrogen and ammonia production

In order to meet the energy and fuel needs of societies in a sustainable way and hence preserve the environment, there is a strong need for clean, efficient and low-emission energy systems. In this regard, it is aimed to generate cleaner energy outputs, such as electricity, hydrogen and ammonia as well as some additional useful commodities by utilizing both methane gas and the waste heat of an integrated unit to the whole system. In this paper, a novel multi-generation plant is proposed to generate power, hydrogen and ammonia as a chemical fuel, drying, freshwater, heating, and cooling. For this reason, the Brayton cycle as prime unit using methane gas is integrated into the s-CO2 power cycle, organic Rankine cycle, PEM electrolyzer, freshwater production unit, cooling cycle and dryer unit. In order then to evaluate the designed integrated multigeneration system, thermodynamic analyses and parametric studies are performed, revealing that the energy and exergy efficiencies of the whole plant are found to be 69.08% and 65.42%. In addition, ammonia and hydrogen production rates have been found to be 0.2462 kg/s and 0.0631 kg/s for the methane fuel mass flow rate of 1.51 kg/s. Also, the effects of the reference temperature, pinch point temperature of superheater, combustion chamber temperature, gas turbine input pressure, and mass flow rate of fuel on numerous parameters and performance of the plant are investigated.

A comprehensive energy, exergy and enviroeconomic (3-E) analysis with carbon mitigation for multistage evaporation assisted milk powder production unit

The global annual milk powder trade was estimated to be of 851.84 Million Metric Tons whereas; its Indian counterpart was recorded as 196.18 Million Metric Tons in the year 2019. The world’s annual milk powder production has registered a growth of 50% in the last three decades. In view of high thermal and electrical energy consumption; the present work focus upon energy, exergy and enviroeconomic assessments for comprehensive powder production wherein, the value of exergy efficiency, specific exergy destruction and specific exergy improvement potential. The exergetic performances of triple effect evaporator and single stage spray dryer unit were computed as 56.62% and 66.11% respectively. Additionally, involvement of economic approach with total saving in uniform yearly cost through electricity from PV panels will be approximately calculated as 979,006$ and 874,319$ at an interest rates of 4.5% and 7.5% respectively. Similarly, the investment on PV panels will be recovered after 8 and 11 years of operation for the respective rates of interests. On the basis environmental evaluation, it was found that adoption of clean energy solution (PV panels); could assist in mitigation of approximately 17,670 Tonnes of CO2 during its lifetime with securing a revenue of 256,215$/lifetime.