Compressed Air Energy Storage System Research Articles

Thermo-Physical Characterization of Waste-Glass-Induced Packed Bed Material as Thermal Energy Storage Device for Compressed Air Energy Storage System

Abstract The article presents the preparation and testing of packed bed (PB) material to be used as a thermal energy storage (TES) device. The proposed TES device will be used to store the high thermal energy attained during air compression in a compressed air energy storage (CAES) system. The article examines the utilization of mortar-based admixture by incorporating waste glass powder (WGP), graphite powder (GP), and waste glass sand (WGS). The selection of these constituents as a primary ingredient for the PB material has been made based on their availability, cost, and sustainability. The thermo-physical assessment of samples with different proportions of aggregates outlined two categories of PB: the first category of PB with low volumetric heat capacity (CP) for short/quick TES and the second category of PB with high CP for large/longer TES. The study also showcases the importance of GP in enhancing the CP of mortar-based TES devices as a result of high porosity.

Blade solidity optimization of axial turbine in compressed air energy storage system

The turbine in Compressed Air Energy Storage (CAES) systems often operates under off-design conditions, resulting in efficiency decrease. And there is a relative paucity of public scientific literature specifically relating to the influence of solidity variation on turbines' off-design characteristics. In this paper, off-design performance of a two-stage axial turbine in a CAES system is studied and optimized by changing blade solidity individually and in combination through numerical simulation. Compared with the original design turbine, when stator solidity of the first stage (stage1) is close to the lower limit of theoretical optimal range (1.00–1.54), the isentropic efficiency can be improved effectively under a wide range of off-design conditions. The reasons are expansion ratio and specific work of stage1 is decreased, those of the second turbine stage (stage2) is increased. And the static pressure reaction is increased properly. Especially, it can help the turbine far away from windage during low load conditions. With the change of pressure distribution, the separation loss and tip leakage loss are also varied, but on the whole, it can reduce the total irreversible loss of the turbine.

Thermodynamic and economic analysis of a novel multi-generation system integrating solid oxide electrolysis cell and compressed air energy storage with SOFC-GT

Traditional gas-fired power plants are characterized by low efficiency and challenges in peak regulation. Even with the incorporation of compressed air energy storage, they still exhibit deficiencies in flexibility during peak load regulation. In this paper, we propose a novel hybrid power system based on gas-fired power plants, capable of producing electricity, heat, and hydrogen, while achieving flexible peak load regulation. The system is comprehensively evaluated using energy analysis, exergy analysis, and economic analysis. Results show that the total energy efficiency and exergy efficiency of this hybrid power system perform well, surpassing existing research on fuel cell-gas turbine systems. Among the subsystems, the fuel cell contributes the most to the total energy output of the hybrid system but also incurs the highest exergy losses, while the relative exergy losses of the water electrolysis and compressed air energy storage systems are relatively small. The configuration of dual energy storage systems enhances the flexibility in peak load regulation. Additionally, the proposed hybrid system exhibits low carbon emissions of 0.08 to 0.12 t/GJ. Considering factors such as discount rate, the initial investment cost can be recovered in 5.81 years, and the calculated net present value is 492,275.82 k$. Thus, the proposed scheme also possesses certain advantages in terms of economic feasibility.

Study on characteristics of photovoltaic and photothermal coupling compressed air energy storage system

This paper studies the energy storage and generation characteristics of the photovoltaic power generation coupling compressed air energy storage system for the 5 kW base station, and analyzes the photovoltaic power generation characteristics within 24 h and its influence on the flow characteristics of the compressed air energy storage system. The results show that, affected by precipitation and sunlight, the compressed air energy storage power reaches highest value in May and August, and the compressed air flow and cooling water flow in a single day increase with the increase of light intensity. The power generation time reaches longest value in June, shortest in December, the energy storage time reaches longest in June and shortest in January. Considering the combined demand of cold energy, thermal energy and electric energy in actual production and life, the setting scheme of the compressed air energy storage system for combined cold heat power supply is obtained, and the parameter values such as compression/expansion stage, compression/expansion pressure ratio, temperature and pressure at the inlet and outlet of the compressor/expander/heat exchanger are defined. Adding solar thermal energy storage to the photovoltaic power generation compressed air energy storage system, it is found that it can effectively increase the air temperature and thus reduce the expansion stages required at a specific time.

Process arrangement and multi-criteria study/optimization of a novel hybrid solar-geothermal scheme combined with a compressed air energy storage: Application of different MOPSO-based scenarios

The current research is motivated to arrange an innovative hybrid solar-geothermal system, where the geothermal-driven subsystem is used to give out a sustainable framework for the upstream subsystems. Thus, an integrated geothermal flash cycle combined with organic Rankine cycle 1 (ORC1) is utilized to supply the input electricity of the compressed air energy storage system (CAES) at charging periods. The stored stream is exposed to electricity generation by the use of parabolic trough solar collectors (PTSCs). In addition, ORC2 recovers the waste heat of air turbines. A multi-aspect study is considered from the thermodynamical and economical standpoints. In addition, the sensitivity analysis is carried out to evaluate the effect of different parameters on the performance of the system. Moreover, four optimization scenarios are defined and scrutinized using a multi-objective particle swarm optimization (MOPSO) algorithm. The present study exhibits that the most appropriate optimum solution from the thermodynamic facet is a consequence of a framework in which the energy efficiency of flash-ORC1 and its output electricity is the objective functions. In this situation, the optimum energetic and exergetic efficiencies of the flash-ORC1 unit are equal to 20.43% and 67.63%. Furthermore, the lower optimum payback period equals 3.07 years corresponding to the scenario in which objective functions are the exergy efficiency of flash-ORC1 and the payback period.

Expansion cooling prospects for large scale applications

Air conditioning in general and cooling in particular are the biggest energy sinks among all electricity consumers. Mitigating energy needs of this sector by active or passive means is a necessity. This paper offers a comprehensive review of various cooling technologies for large scale applications and compares them in terms of economy, environmental footprint and most importantly, energy requirements. There is a main focus on the potential of using expansion cooling, which is defined in conjunction with cooling effects generated during the expansion process of a gas. The interest in such cooling technology stems from the double benefit of utilizing a large-scale compressed air energy storage (CAES) system that can also provide cooling via the expansion of air. This consequently manifests in reducing the electrical demand required for cooling applications. Such a concept is beneficial for hot climates, where most of the electrical demand is reserved for offsetting the cooling load.

CAES-SC hybrid energy storage: Dynamic characteristics and control via discharge process

Energy storage is an effective means to increase renewable energy utilization. Compressed air energy storage (CAES) and super-capacitor (SC) hybrid energy storage system is one of the potential options for renewable energy microgrids due to its low-cost and flexible response capacity. In this paper, we thoroughly investigate the dynamical characteristics of the CAES system and the dynamical interactions between different subsystems in the CAES-SC hybrid energy storage via the discharge process. Dynamical models have been developed for the CAES discharge subsystem and the SC subsystem. Studies of the start-up process of CAES discharge subsystems have shown that the no-load start-up mode is more efficient than the variable-load start-up mode if the equivalent power generation for the same compressed air mass consumption is measured. In terms of the interaction characteristics between the CAES subsystem and the SC subsystem, the capacity demand of the SC subsystem in the no-load start-up mode is about 8 % higher than that in the variable-load start-up mode. An optimal control strategy based on the constraint of source-load dynamic balance has also been proposed to achieve power allocation in a CAES-SC hybrid energy storage system. Case studies show that the cycle efficiency of the hybrid energy storage system corresponding to the proposed optimal control strategy is 57.91 %, which is 1.84 % higher than that of the conventional control strategy. Moreover, compared with the conventional design that takes twice the maximum energy storage capacity demand during the starting process of the CAES discharge subsystem (about 1.6 MWh), a higher designed energy storage capacity (about 3 MWh) of the SC subsystem is required to satisfy the complete response to the source-load deviation under the proposed optimal control strategy. Moreover, for every 0.5 MWh increase in the energy storage capacity of the SC subsystem, the cycle efficiency of the hybrid energy storage system can be increased by approximately 0.3 % to 0.5 %.

Characteristics of inlet guide vane adjustment of multi-stage axial compressor in compressed air energy storage system

The compressor in compressed air energy storage (CAES) system needs to balance continuous variable conditions and high-efficiency operation. The adjustment of inlet guide vanes (IGV) can effectively expand the stable working range of the compressor and improve the variable condition performance. The purpose of this study is to provide a reference for the efficient and variable condition operation of axial compressors in CAES system. This study takes a five-stage axial compressor in a specific CAES system as the research object, and uses numerical method to investigate the IGV adjustment characteristics of the compressor. Firstly, the overall performance variation of the compressor is analyzed. It is found that the IGV adjustment has a significant effect on expanding the stability range of the compressor, increasing it from 11.6 % to 33.4 %. The optimal adjustment curve of the IGV serves as a reference for achieving high-efficiency operation of the energy storage compressor. Secondly, the variations of the stage static pressure ratio, stage degree of reaction, rotor diffusion factor, rotor inlet airflow angle, relative Mach number on S1 surface of the first 1.5 stages, and the limit streamlines on blade suction surfaces are analyzed for different IGV angles. It is observed that minor IGV adjustment can regulate the distribution of aerodynamic parameters and internal flow of the first stage without significantly affecting the distribution of aerodynamic parameters in the subsequent stages. However, significant changes in the aerodynamic parameters of all stages occur when large adjustments are made to the IGV. Finally, the distribution characteristics of losses on the blade suction surface, meridional flow channel, and IGV for different angles are studied. When the IGV are adjusted from −10° to +35°, the high-entropy region on the IGV suction surface gradually increases, while the high-entropy region on the leading edge of the first-stage rotors decreases. The changes in aerodynamic parameters at each stage during large angle adjustments exacerbate the deterioration of internal flow, leading to a significant increase in the high-entropy region in the meridional flow channel. The loss ratio fitting curve provides a quantitative basis for evaluating the IGV losses at different adjustment angles.

Integrating wind energy and compressed air energy storage for remote communities: A bi-level programming approach

The integration of compressed air energy storage and wind energy offers an attractive energy solution for remote areas with limited access to reliable and affordable energy sources. This study presents a design approach for an energy system comprising wind turbines, compressed air energy storage, and diesel generators. The proposed method is based on bi-level programming, enabling the simultaneous optimization of the size and operation of the system while considering the interaction between them. Detailed mechanical design and configuration of the compressed air energy storage system are considered, including the number and size of compressors and turbines, valves, recuperator operating conditions, etc. In contrast with conventional compressed air energy storage systems, operating once a day for peak shaving, the proposed compressed air energy storage system aims to mitigate wind fluctuations. Therefore, it would operate under partial load conditions most of the time, and as a result, the system's off-design modeling is also considered. The results indicate that the proposed system is a promising, cost-effective, reliable energy solution for remote areas, significantly decreasing the average daily total cost and CO2 emissions by 69 % and 76 %, respectively. Additionally, by studying the system's performance under both design and off-design conditions, it is concluded that considering the off-design conditions is critical to ensure a more realistic performance of the system as the system is less likely to utilize the compressed air energy storage in low charging and discharging opportunities.

Predicted roundtrip efficiency for compressed air energy storage using spray-based heat transfer

Compressed air energy storage (CAES) is a low-cost, long-duration storage option under research development. Several studies suggest that near-isothermal compression may be achieved by injecting water droplets into the air during the process to increase the overall efficiency. However, little is known about the thermal-fluid mechanisms and the controlling nondimensional parameters of the expansion process, which has previously been assumed to mirror the compression process. Furthermore, the isothermal round-trip efficiency and the impact of spray-based CAES have not been investigated. This study uses a validated 1-D model for compression and expansion with spray injection to complete a parametric analysis to analyze the thermal-fluid time-dependent physics and resulting roundtrip isothermal efficiency of a CAES system. Comparing the results for compression and expansion simulations, compression is found to have a higher isothermal efficiency than expansion for the same set up. The polytropic index for both compression and expansion tends to decrease and approach the ideal isothermal limit as nondimensional mass loading increases and as nondimensional Crowe number (ratio of thermal response time to domain time) decreases. As such, the highest efficiency designs are those with slow compression speeds and high spray flow rates to achieve high mass loading and those with small droplets to achieve low Crowe numbers—as long as spray work is neglected. If spray work is included, the optimum spray conditions shift to those with lager drop sizes. For example, roundtrip isothermal efficiency peaks around 95 % at a mass loading of 14 and at Crowe numbers <0.1 with a pressure ratio of ten. The results indicate that near-isothermal CAES compression and expansion is possible but that spray work should be included for significant mass loadings (e.g. greater than unity). Further investigation is recommended to consider effects of multi-dimensionality, turbulence, wall-interactions, and droplet dynamics.

Structure optimization and operation characteristics of metal gas storage device based on compressed air energy storage system

Compressed air energy storage (CAES) is a key technology for promoting the replacement of fossil fuels with renewable energy. Currently, CAES systems typically require an underground salt cavern, which is limited by geological and geographical conditions. To promote the rapid popularization of CAES, there is an urgent need to develop new gas storage devices with flexible layouts. Metal pressure vessel as a gas storage device is concerned with the benefits of high storage pressure and reliable operation. Considering both strength and fatigue, this study conducted a structural optimization of Tank-D2000 and Pipe-D400 to achieve the design operating life with the minimal quality. Furthermore, the optimized structure was used to study the operating characteristics of the gas storage device by the multi-domain fluid–solid thermal coupling method and the real gas model. The results indicated that the internal convective heat transfer coefficient of the gas storage device was a linear function of time during operation, whereas the external natural convective heat transfer coefficient almost remained constant. The pressure distribution was uniform; however, the temperature difference was large, particularly for D400. Analysis and prediction based on the theory of the polytropic process showed that the polytropic index of D400 was lower than that of D2000, so the heat transfer of D400 was more adequate and the effective capacity of gas storage device under the designed operating pressure range was larger. With an increase in flow, polytropic index increased and was lower at energy storage than at energy release. The pressure prediction error was basically within the range of ±4 %, and the temperature prediction error was within the range of ±3 %.

A new biomass-based hybrid energy system integrated with a flue gas condensation process and energy storage option: An effort to mitigate environmental hazards

The development of biomass-fueled cogeneration plants can be fruitful to achieve the sustainable development goals, due to the crises of fossil energy-fueled ones. Additionally, biomass fuels can offer higher reliability and more sustainable energy compared to the two more well-known renewables (i.e., solar and wind energies) due to the no dependence on environmental and weather conditions. The present article provides a comprehensive assessment (thermodynamic-design, exergoeconomic and environmental) and optimization of a new biomass-driven cogeneration plant cascaded with a heat recovery unit. The planned plant is based on a biomass gasification process, some thermodynamic power generation cycles based on steam and gas turbines (i.e., Rankine cycle, Brayton cycle, and organic Rankine cycle (ORC)), and flue gas condensation process. Besides, a compressed air energy storage system (CAESS) as an energy storage process is integrated with the considered plant to establish a balance between production and demand and reduce electricity costs. To achieve optimal performance, a multi-objective optimization (based on a genetic algorithm) is applied. The findings showed that by considering the multi-objective optimization techniques, the plant's exergy efficiency could improve by about 15%. At the same time, the exergy cost rate is reduced by almost 17.3%. Avoiding the payment of carbon tax and the high electricity production level in the on-peak consumption period are unique and competitive features of the proposed biomass-driven power plant. It was also found that the LCOE and the payback period were 13.27 USD/GJ and 2.03 years, respectively, therefore, the proposed power plant exhibits reasonable economic feasibility.

Dynamic characteristics and optimizations of the proposed combined cold and power system with integrated advanced adiabatic compressed air energy storage and double-effect compression-absorption refrigeration

A combined cold and power system with an integrated advanced adiabatic compressed air energy storage system and double-effect compression-absorption refrigeration using [mmim]DMP/CH3OH as working fluid (CACAR) was proposed. The CACAR system can use the heat generated by the compression process and the cooling capacity generated by the expansion of compressed air. The dynamic mathematical model of the CACAR system was built based on the mass conservation, energy conservation, and entropy equation of each component. The verification of the compressor, expander, air tank, and Compression absorption refrigeration (CAR) were partly implemented to validate the proposed model. The energy balance of the proposed system was confirmed. The exergy losses of each component were calculated and analyzed. The proposed model have been verified to obey the first and second laws of thermodynamics. The transient characteristics of the expansion process were simulated and discussed. Based on the sensitivity analysis results, the four key operating parameters were optimized using the multi-objective and multiparameter methods. The optimum parameter combination of γ and T37 of the refrigeration system is found to be (1.503, 342.21 Κ). The energy efficiency of the CACAR system was at least 14.97% higher than that of the AA-CAES system.

A directly charged thermal store for compressed air energy storage systems

This paper discusses the design of a heat storage unit with integrated heat exchangers (TES + HX), which is intended to work in a Compressed Air Energy Storage (CAES) system. The unit can be charged directly by the system's stream of pressurised air, eliminating the need for additional heat exchangers and reducing the number of heat transfer processes. Silica sand is used as the storage medium due to its high heat capacity, non-corrosivity and its ability to accommodate the thermal expansion of steel pipes.A medium-scale, medium-duration CAES system (250 kW/1MWh) is used as a case study. The heat storage subsystem comprises a packed-bed thermal store, three air-to-air heat exchangers and an ambient pressure air blower. Combined, this subsystem has an approximate cost of £147k and achieves an efficiency of ∼89 %, which translates into a levelized cost of ∼48.5 £/MWh. An integrated TES + HX unit can achieve a levelized cost of ∼35 £/MWh. The unit has an estimated cost of £38.5k and achieves an overall roundtrip exergy efficiency of ∼91.8 %. The integrated TES + HX unit not only offers a significant reduction in the capital cost of a CAES system and an efficiency improvement, but it also allows for a simpler overall architecture.

Statistical evaluation of stability margin of a multi-stage compressor with geometric variability using adaptive polynomial chaos-Kriging model

Compressed air energy storage systems must promptly adapt to power network demand fluctuations, necessitating a high surge margin in the compression system to ensure safety. It is challenging to completely eliminate blade geometric variations caused by limited machining precision, the important effects of which should be considered during aerodynamic shape design and production inspection. The present paper explores the uncertainty impact of geometric deviations on the stability margin of a multi-stage axial compressor at a low rotational speed. Initially, an adaptive polynomial chaos expansion-based universal Kriging model is introduced, and its superior response performance in addressing high-dimensional uncertainty quantification problems is validated through rigorous analytical and engineering tests. Then, this model is used to statistically evaluate the stability margin improvement (SMI) of the compressor due to the Gaussian and realistic geometric variabilities separately. The results show that the mean and standard deviation of SMI are −0.11% and 0.5% under the Gaussian geometric variability, while those are 0.33% and 0.39% under the realistic variability. For both the geometric variabilities, the stagger angle and maximum thickness deviations of the first-stage rotor are the most influential parameters controlling the uncertainty variations in the stability margin. Finally, the underlying impact mechanism of the influential geometric deviations is investigated. The variation in the stability margin caused by the geometric deviations primarily results from the alteration of inlet incidences, affecting the size of the tip leakage vortex blockage and boundary-layer separation regions near the blade tip of the first-stage rotor.

Thermo-dynamic and economic analysis of a novel pumped hydro-compressed air energy storage system combined with compressed air energy storage system as a spray system

The efficiency of adiabatic compressed air energy storage technology is limited by the low utilization of thermal energy in the energy storage room. Therefore, a pumped hydro-compressed air energy storage system combined with a compressed air energy storage system as a spray system is introduced in the present research and analyzed by thermodynamic and economic analysis to verify the feasibility of system. For the performance analysis of the system, the main components and the whole system are precisely analyzed from the thermodynamic point. The results show that the round-trip efficiency and total exergy efficiency of the system are 52.45% and 77.8%. The system can significantly improve the air temperature in the air storage room, reduce the pressure energy loss of the system, and increase the energy storage capacity. Moreover, achieving high system round-trip efficiency is dependent on components of the system with high efficiencies. By optimization of the system operation mode, the round-trip efficiency of the system can reach 56%.

Integrating compressed air energy storage with wind energy system – A review

- With an increasing capacity of wind energy globally, wind-driven Compressed Air Energy Storage (CAES) technology has gained significant momentum in recent years. However, unlike traditional CAES systems, a wind-driven CAES system operates with more frequent fluctuations due to the intermittent nature of wind power. Consequently, the design and operation of wind-driven CAES systems must address such a complex and dynamic behavior. Considering the growing interest in wind-driven CAES systems, a comprehensive and systematic review of the existing literature on their design and operational characteristics is appealing. Therefore, this study aims at filling this research gap by examining the existing literature on the configuration, sizing, and operation/scheduling of wind-driven CAES systems. This review also aims at highlighting the underlying assumptions and methodologies employed in previous studies on wind-driven CAES systems. Given the challenges faced by several CAES projects, which were discontinued due to geological and economic constraints, it is imperative to conduct comprehensive feasibility studies to support the development and implementation of wind-driven CAES systems. Additionally, there is a growing necessity to explore the feasibility of small-scale CAES systems, focusing on their potential to bolster energy security and resilience for small or remote communities in distributed energy systems. By examining the existing literature and highlighting the gaps in current research, a number of insights are provided serving as foundations for future investigations in this field.

Techno-Economic Analysis and Optimization of a Compressed-Air Energy Storage System Integrated with a Natural Gas Combined-Cycle Plant

To address the rising electricity demand and greenhouse gas concentration in the environment, considerable effort is being carried out across the globe on installing and operating renewable energy sources. However, the renewable energy production is affected by diurnal and seasonal variability. To ensure that the electric grid remains reliable and resilient even for the high penetration of renewables into the grid, various types of energy storage systems are being investigated. In this paper, a compressed-air energy storage (CAES) system integrated with a natural gas combined-cycle (NGCC) power plant is investigated where air is extracted from the gas turbine compressor or injected back into the gas turbine combustor when it is optimal to do so. First-principles dynamic models of the NGCC plant and CAES are developed along with the development of an economic model. The dynamic optimization of the integrated system is undertaken in the Python/Pyomo platform for maximizing the net present value (NPV). NPV optimization is undertaken for 14 regions/cases considering year-long locational marginal price (LMP) data with a 1 h interval. Design variables such as the storage capacity and storage pressure, as well as the operating variables such as the power plant load, air injection rate, and air extraction rate, are optimized. Results show that the integrated CAES system has a higher NPV than the NGCC-only system for all 14 regions, thus indicating the potential deployment of the integrated system under the assumption of the availability of caverns in close proximity to the NGCC plant. The levelized cost of storage is found to be in the range of 136–145 $/MWh. Roundtrip efficiency is found to be between 74.6–82.5%. A sensitivity study with respect to LMP shows that the LMP profile has a significant impact on the extent of air injection/extraction while capital expenditure reduction has a negligible effect.

Investigation of synergistic integration and optimization in combining compressed-air energy storage and a gas turbine

It is very important to guarantee performance synergy when combining two sub-systems. This study investigated combinations of compressed air energy storage systems (CAESs) and a gas turbine (GT) while considering various design factors. These factors included the CAES type, CAES capacity, and air injection flow rate, which were not considered in previous studies. The feasibility of various integration scenarios was evaluated, and the best scenario with the highest synergistic effect was obtained through an optimization method. When using a conventional CAES (C-CAES), the combined system was undesirable. When using an adiabatic CAES (A-CAES) or regenerative A-CAES, the combined system outperformed the standalone operation. When the flow ratio of the GT and A-CAES was 1:1.33, the percentage increases in net power and generated energy were 31.5 % and 12.6 %, respectively, and the roundtrip efficiency increased by 3.4 %p. When the flow ratio of GT and regenerative A-CAES was 1:0.88, the percentage increases in net power and generated energy were 31.3 % and 20.6 %, respectively, and the roundtrip efficiency was improved by 2.2 %p. This study provides the best synergistic integration between a CAES and GT for the first time by fully considering various scenarios, including thermal and mass integrations.

Advanced exergy and exergo-economic analyses of an advanced adiabatic compressed air energy storage system, part 2: Parametric study and optimization

In this study, parametric analysis and multi-objective optimization of the advanced adiabatic compressed air energy storage system (AA-CAES) were performed. Non-dominated Sorting Genetic Algorithm (NSGA-II) method was used in the multi-objective optimization study. In the optimization study, objective functions were determined in the conventional and advanced exergy/exergo-economic analyses concept. In the optimization study in the concept of advanced exergo-economic analyses, a new performance criterion that is not in the literature was determined and the results were confirmed by conventional exergo-economic analyses. In this study, the modified total unit product cost, which is given as the new performance criterion, is defined on the basis of avoidable feed exergy cost rate and avoidable investment cost rate. This shows the potential to be improved in the cost of the system and gives more detailed information than the total unit product cost in conventional exergo-economic analysis. As a result of the optimization study, the total unit product cost and the exergy efficiency of the system were found to be 162.9 $/day and 64.3%, respectively for the conventional exergy/exergo-economic analyses concept. For the advanced exergy/exergo-economic analyses concept, the modified total unit product cost and the modified exergy efficiency of system were found to be 103.5 $/day and 91.9 %. The exergy efficiency and the total unit product cost improved by 16.48 % and 3.55 %, respectively, with the optimization study according to the basic case of the overall system. With the parametric study, the increase in the efficiency of the wind turbine affected the exergy destruction rate more than the other system components. While the effect of the increase in the efficiency of the turbines on the exergy destruction cost rate of the system is greater than the other system components, the system component that most affects the cost rate of the system is the compressors.