Generation Cycle Research Articles

Performance evaluation of a solar based Brayton cycle integrated vapor compression-absorption trigeneration system for power, heating and low temperature cooling

Among the various solar technologies, solar power tower (SPT) technology is being widely used for large-scale energy generation. Therefore, this work developed a trigeneration system for SPT plant that produces power, heating and cooling at low temperature efficiently from a high temperature SPT heat source. In order to create heating and low temperature (at −20°C) cooling benefits for food preservation, this trigeneration unit integrates a cascaded vapor compression-absorption refrigeration system combined with a helium Brayton cycle for power generation. The exergy-energy analysis was performed by the numerical technique using engineering equation solver software to evaluate the performance of the proposed SPT plant. The power output, exergy and energy efficiency of the SPT plant were found as 14,865 kW, 39.53% and 28.82%, respectively. The coefficient of performances values for cooling and heating were observed as 0.5391 and 1.539, respectively. Exergy evaluation revealed that approximately 78.18% of the total energy destruction of the entire plant is attributed to the solar subsystem only. Furthermore, a parametric investigation shows that the temperature of the evaporator, generator and helium turbine inlet, and the efficiency of the heliostat and receiver all have a significant impact on the plant performance. Furthermore, a comparative analysis with relevant previous studies has shown that the proposed system outperforms systems based on supercritical CO2 cycles and the Rankine cycles.

Combined Strategies Enable Highly Selective Light Olefins and para-Xylene Production on Single Catalyst Bed.

Achieving multiple high-value-added chemical production through novel reaction processes and shape-selective catalytic strategy is the key to realizing efficient low-carbon catalytic processes. In this work, a methanol-toluene coreaction system was developed, and combined control strategies of reaction pathway guidance and shape-selective catalysis were applied for the successful production of light olefins and para-xylene on single HZSM-5 catalyst bed. Cofeeding toluene additionally provides reactive and flowing aromatic hydrocarbon pool species that change the dominant reaction pathway in the complex network of the methanol reaction on HZSM-5 and promote the formation of ethylene. For the first time, the key reaction intermediates methylmethylenecyclodiene are directly captured and identified by experimental and theoretical techniques. This helps to propose the catalytic cycle for the dominant generation of ethylene and, more importantly, enriches the methanol-to-hydrocarbons (MTH) chemistry and hydrocarbon pool mechanism. Furthermore, 0.4HZSM-5@S-1-CLD, an optimized HZSM-5 catalyst modified by the silicalite-1 epitaxial growth followed by silanization approach, realizes highly selective production of light olefins (especially ethylene) and para-xylene, while excellent reactant activity is maintained. This highly efficient coreaction route gives an important leading significance in synthesizing the raw materials for the polyolefin and polyester industries. The establishment of the combined control strategies provides a model for the joint production of multiple target chemicals in complex catalytic processes.

Investigation of the effects of various nanoparticles on improvement of hydrogen production rate in a solar energy driven alkaline electrolyzer

Present paper aims to investigate effects of nanoparticle addition to thermal oil of parabolic trough collectors which are integrated to Kalina cycle for electricity generation to run an alkaline electrolyzer for hydrogen production. Thermodynamic models for Kalina cycle, thermal model for parabolic collectors and electrochemical models for water electrolyzer are developed for overall plant modeling. Three types of nanoparticles including: copper oxide, alumina and titanium oxide are considered and overall plant performance is investigated using these nanoparticles and is compared with basefluid. The nanofluid thermophysical properties are evaluated as a function of nanoparticles’ properties, volume fraction and the base fluid properties. The effects of key variables such as nanoparticle volume fraction, collector inlet temperature, evaporation pressure and ammonia concentration of Kalina system were evaluated on hydrogen production as well as exergetic efficiencies. Results revealed greater positive influence for CuO compared to TiO2 and Al2O3 on performance improvement for both hydrogen generation and its exergetic efficiency. Also, compared to basefluid (without nanoparticles) case, it was found that CuO particles result in a solar-to-H2 exergy efficiency improvement by 4.7%. Using this nanofluid with a volume fraction of 5%, the H2 production rate enhances from 0.633kg/hto0.664kg/h, indicating 4.9 % improvement.

Study on the thermodynamic and economic performance of power generation cycle with small temperature difference

The low thermal efficiency and low economic benefits of power generation systems under small temperature difference conditions have always hindered their practical operation. In order to explore effective ways to achieve performance optimization of thermodynamic cycle electrical power generating systems under small temperature difference conditions, this study constructs a static analysis model of an organic Rankine cycle with small temperature difference, selects six different commonly used refrigerants, and investigates the influence of key parameters on the thermodynamic and economic performance of the system using difference working fluids. The outcomes indicate that key parameters such as evaporation temperature and condensation temperature play a critical role in the thermodynamic and economic performance of the power generation system. For the working fluids, R227ea provides the highest net power output, while ammonia (R717) is the best performer in regard to system thermal efficiency and economic performance.

ANALYSIS OF THE CORRECTNESS APPROACHES TO DETERMINING THE SPECIFIC IMPULSE OF THRUST GENERATED BY THE WORKING FLUID OF A GAS GENERATOR CYCLE ROCKET ENGINE TURBINE

For liquid rocket engines (LREs) utilizing the gas generator cycle, the resulting engine thrust is composed of two components: the thrust of the engine chamber and the thrust of the turbine exhaust nozzle. Over the years of LRE utilization, methodologies for calculating ideal thermo gas dynamic parameters of the chamber have been developed, large volumes of statistical data regarding specific impulse losses in engine chambers have been obtained, and approaches for predicting specific impulse and, consequently, thrust of the main chambers have been refined. A much more complex situation arises with determining the specific impulse of the thrust generated by the working fluid of an autonomous turbine: significant limitations in information regarding methods for calculating this parameter have been found during literature analysis, and the available statistics exhibit contradictory characteristics. Accurate prediction of the specific impulse of the thrust from turbine exhaust nozzles allows for a more rational selection of design parameters (e.g., combustion chamber pressure) during the development of a new engine and is particularly important in cases where the spent gas generator gas is used to create control efforts. As the rocket and space industry historically developed under conditions of increased secrecy, many approaches and design methods for LREs remain known only to design bureaus and research institutes that were founded and developed during the heyday of rocket and space technology. This complicates the situation for new, young aerospace companies, as they must either conduct physical tests, which require expensive specific test equipment and increase the time and cost of engine development, or use numerical modeling, which, although to some extent allows for the replacement of physical experimentation, requires model verification and confirmation of the assumptions made. Furthermore, considering the military focus of rocket-related topics in the past, it cannot be excluded that intentionally distorted information may be present in open sources. Thus, considering the global trend of increasing the number of startups in the rocket and space industry, the identification of reliable and open sources of information becomes an important task. In this work, data from open sources regarding the specific impulse of the thrust from turbine exhaust nozzles of existing LREs were analyzed, revealing significant inconsistencies in the declared energy parameters. Numerical modeling of generator gas leakage from the nozzle of the exhaust gas duct of the RD-111 engine turbine has been conducted, and the results were compared with the calculations carried out by other methods. As a result of the work, various approaches to evaluating the thrust of exhaust nozzles during the design of an engine utilizing the gas generator cycle were analyzed, and conclusions were drawn regarding the correctness of their application.

A Theoretical Study on the Thermal Performance of an Increasing Pressure Endothermic Cycle for Geothermal Power Generation

In this study, a power cycle (IPEC), with an increasing pressure endothermic process in a downhole heat exchanger (DHE) and a CO2-based working fluid mixture, was developed for geothermal power generation. The increasing pressure endothermic process, which cannot be achieved in a conventional evaporator on the ground, was realized using the gravitational potential energy in the DHE. The parameters of the power cycle and the structural size of the DHE were optimized simultaneously. Using CO2-R32 as the working fluid of the IPEC provides the highest net power output. The net power generated with the IPEC was compared with a single-flash (SF) system, a trans-critical CO2 (t-CO2) system, and an organic Rankine cycle (ORC) under the same heat source and sink conditions. Six selection maps were generated for choosing the optimum power cycle for electricity production, in which four power generation systems (ORC, t-CO2, IPEC, and SF) were included, and two DHE diameters (0.155 m and 0.22 m) were investigated. It was found that the IPEC system had more net power output than the other three systems (ORC, t-CO2, and SF) under the conditions that the geofluid’s mass flow rate was less than 10 kg/s and its temperature was lower than 180 °C.

Numerical simulation and analysis of heat transfer performance of new airfoil fin printed circuit heat exchangers

The airfoil fin printed circuit heat exchanger (PCHE) is very suitable for use as the heat exchangers in the supercritical CO2 Brayton power generation cycle due to its multiple advantages. However, in most previous studies, the new fin designs have complex curved surface geometries, which would bring difficulties in their manufacturing. Therefore, in this study, some simple fin structures based on the modification of traditional NACA0018 airfoil fin are proposed to enhance the heat transfer performance of PCHE. The influence of different structure modification shapes, size and positions on the overall PCHE performance are examined by numerical simulation. The results revealed that setting concave with a radius of 0.3 mm in the flow boundary zone (i.e. Type-VI) can significantly improve the thermal hydraulic performance of the fin channels. By comparing the local thermal hydraulic performance with the prototype fin, the Type-VI fin shows the advantages of reducing the fluid pressure difference resistance near the fin wall and increasing the impact area of the fluid on the fin, resulting in its j factor can be increased by 4.37 % to 7.16 %, f factor reduced by 0.45 % to 1.77 %, and η increased by 5.20 % to 9.10 %.

Performance evaluation of heater and recuperator in Brayton cycles for power and energy storage

The performance of heat exchangers matters in the Brayton cycles for power and energy storage systems. However, the understanding of how heat exchanger performances affect cycle efficiency is still highly inadequate. The existing methods, including the performance evaluation criteria (PEC) and exergy/entropy analysis, are insufficient in evaluating the contributions of heat transfer enhancement or flow resistance reduction to the cycle performance. Also, the coupling analysis only provides the solutions for the cases under specific operation parameters of a specific cycle layout, in addition to their high computational cost and technical complexity. In the present work, a novel evaluation method, a performance recovery coefficient (PRC), was proposed to evaluate the effect of heat exchanger performances on the cycle efficiency simply using the component-scale parameters, avoiding complex coupling analysis. The applications of PRC in both heaters and recuperators were demonstrated, under different layouts, parameters and working fluids, of Brayton cycles for power generation, and integrated power generation and storage. Finally, it is shown that the PRC can facilitate the type selection and arrangement of heat exchangers of both direct and indirect heating, and deliver a cycle efficiency enhancement by 1.4 and 0.4 percentage points, respectively. Overall, the present method provides clear insights into how the interplay between heat transfer and flow resistance in heat exchangers contributes to cycle performance.

A novel coal-based Allam cycle coupled to CO2 gasification with improved thermodynamic and economic performance

Coal-based Allam cycle is an advanced low-carbon and efficient power cycle that uses syngas produced by coal gasification to drive the semi-closed supercritical CO2 cycle for electric power generation. To improve the thermodynamic and economic performance, a novel coal-based Allam cycle coupled to CO2 gasification is proposed. Compared to the reference system, the steam for gasification is eliminated and the mole fraction of H2 within the raw syngas is reduced, which could effectively decrease the moisture fraction of the combustion flue gas and give enough margin to intensify heat integration. Thereby, more process heat has been saved to drive the efficient supercritical CO2 cycle and the raw syngas cooling heat is further recovered by the main recuperator. Results show that the net efficiency of the novel system soars to 43.99%, which is enhanced by 0.67% points. Moreover, the exergy efficiency increases by 0.65% points with the total exergy destruction and loss reduced by 1.23%. In addition, the total plant investment (TPI) and the cost of electricity (COE) are reduced by 1.42% and 1.39%, respectively, which proves that the novel system is also superior for commercial application.

Mouse Data Attack Technique Using Machine Learning in Image-Based User Authentication: Based on a Defense Technique Using the WM_INPUT Message

Recently, as the non-face-to-face society persists due to the coronavirus (COVID-19), the Internet usage rate continues to increase, and input devices, such as keyboards and mice, are mainly used to authenticate users in non-face-to-face environments. Due to the nature of the non-face-to-face environment, important personal data are processed, and since these personal data include authentication information, it is very important to protect them. As such, personal information, including authentication information, is entered mainly from the keyboard, and attackers use attack tools, such as keyloggers, to steal keyboard data in order to grab sensitive user information. Therefore, to prevent disclosure of sensitive keyboard input, various image-based user authentication technologies have emerged that allow sensitive information, such as authentication information, to be entered via mouse. To address mouse data stealing vulnerabilities via GetCursorPos() function or WM_INPUT message, which are representative mouse data attack techniques, a mouse data defense technique has emerged that prevents attackers from classifying real mouse data and fake mouse data by the defender generating fake mouse data. In this paper, we propose a mouse data attack technique using machine learning against a mouse data defense technique using the WM_INPUT message. The proposed technique uses machine learning models to classify fake mouse data and real mouse data in a scenario where the mouse data defense technique, utilizing the WM_INPUT message in image-based user authentication, is deployed. This approach is verified through experiments designed to assess its effectiveness in preventing the theft of real mouse data, which constitute the user’s authentication information. For verification purposes, a mouse data attack system was configured, and datasets for machine learning were established by collecting mouse data from the configured attack system. To enhance the performance of machine learning classification, evaluations were conducted based on data organized according to various machine learning models, datasets, features, and generation cycles. The results, highlighting the highest performance in terms of features and datasets were derived. If the mouse data attack technique proposed in this paper is used, attackers can potentially steal the user’s authentication information from various websites or services, including software, systems, and servers that rely on authentication information. It is anticipated that attackers may exploit the stolen authentication information for additional damages, such as voice phishing. In the future, we plan to conduct research on defense techniques aimed at securely protecting mouse data, even if the mouse data attack technique proposed in this paper is attempted.

“They either leave you or they get involved in it”: Familial factors influencing drug use amongst Appalachian people

West Virginia, the only state entirely in Appalachia, is considered the epicenter of the opioid crisis. Children raised in families affected by opioid use disorder can develop their own substance use disorder later in life. The continuing opioid crisis coupled with social and health disparities suggest families in West Virginia are vulnerable to generational cycles of substance misuse. This qualitative study uses content analysis to present emergent themes discerned from participant interviews on the opioid epidemic and impacts of a restrictive opioid prescribing law in West Virginia. Participants in this study described how using opioids has impacted their lives, their family, and community. They recognized drug use was embedded along familial groups and influenced by significant others such as partners or peers. Parents described how children were a strong motivator for recovery and how they felt remorse for exposing their children to their drug use. This study highlights the importance of community engagement, parental support, and early identification of vulnerable young people to lessen the intergenerational continuance of substance use.

Analysis of energy, carbon emissions and economics during the life cycle of biomass power generation: Case comparison from China

Straw instead of coal power generation is one of the most promising biomass utilization technologies. It has good potential in energy substitution, reduction of greenhouse gas emissions, and promotion of agricultural economic development. However, the high cost of biomass power generation has become a key factor limiting its development. In this study, four operating biomass power plants are selected as research objects to evaluate the whole process of biomass power generation with energy utilization, carbon emission and economy as evaluation indicators. The impact of feedstock collection radius on the power generation cost of different power generation systems is analyzed, and the key factors of the corresponding economic indicators are identified. The results show that the cost of electricity generation for the four power generation systems are 0.082$/kWh, 0.087$/kWh, 0.066$/kWh and 0.139$/kWh respectively. Overall, gasification combined cycle power generation has stable advantages in energy utilization and carbon emission reduction. Among them, non-renewable energy consumption is mainly concentrated in biomass collection, pretreatment, and equipment manufacturing processes. Small and medium gasification combined cycle systems represented by 6 MW scale have the lowest power generation costs. The small-scale biomass power generation technology represented by 30 kW gasification power generation shows excellent flexibility in a small area, but it does not yet have economic advantages. According to the collectability of straw, rationally planning the scale of the power plant can effectively reduce the cost. Power generation efficiency is the most direct parameter that affects the results.

Multi-objective optimization and evaluation of supercritical CO2 Brayton cycle for nuclear power generation

Multi-objective optimization and evaluation of supercritical CO2 Brayton cycle for nuclear power generation

Supercritical CO2 flow and heat transfer through tapered horizontal mini-tubes: Parametric analysis and optimization study

One effective method for enhancing heat transfer in tubular heat exchangers involves gradually altering the cross-section of their tubes. While extensive research has been carried out in typical operating conditions, a significant shortage of studies exists that specifically investigate how changes in tube cross-section affect the heat transfer of fluids under critical and pseudocritical conditions. Additionally, the absence of a comprehensive parametric study considering the effect of all operating conditions and geometric parameters, and providing an optimal model in this field, is keenly felt. This paper offers a finite volume-based numerical simulation of steady-state turbulent flow and heat transfer for supercritical CO2 inside circular horizontal mini-tubes with tapered lateral profiles. It is found that the impact of buoyancy on thermal and hydraulic characteristics is more noticeable in the diverging mini-tube than in the converging mini-tube. The results of the parametric study reveal that under the same geometric parameters, the heat transfer coefficient in the diverging mini-tube is higher than that in the converging mini-tube by 5.2–28.6 %, with a simultaneous reduction in pressure drop ranging from 52.1 % to 68.5 %. However, in the case of a high diameter or diameter ratio, the heat transfer coefficient of the converging mini-tube exceeds that of the diverging mini-tube. Subsequently, an optimization study is conducted using BBD-RSM. To achieve the maximum heat transfer coefficient and the minimum pressure drop, an additional 54 cases are investigated, covering diverse ranges of operating conditions and geometric parameters. The results indicate that the mass flow rate and tube diameter are the most influential parameters on thermal and hydraulic characteristics. Additionally, the impact of the diameter ratio on the pressure drop is more pronounced than on the heat transfer coefficient. This research can serve as a foundation for enhancing the design of heat exchange devices within innovative supercritical CO2 power generation cycles.

Deciphering the role of hydraulic retention time (HRT) in integrated fixed-film activated sludge (IFAS) system under aniline stress: Effects on microbial succession and communication

Integrated fixed-film activated sludge (IFAS) system offered an energy-efficient option for nitrogen removal from aniline wastewater. The regulation of hydraulic retention time (HRT) has been reported to affect the fate of functional microbial communities with different generation cycles, but the role of HRT in IFAS under aniline stress has not been sufficiently revealed. Herein, it was observed that shortening the HRT altered the mechanisms underlying the adaptation of a continuous flow micro-aerated IFAS system to aniline stress, thereby negligibly impacting the removal of aniline. The total nitrogen removal rate in Y2 (HRT = 0.5 day) was 40.28 % higher than Y1 (1 day), and 23.7 % higher than Y3 (0.25 day). This could be attributed to Y2 having an ample supply of electron donors for denitrification compared to Y1, as well as showing weaker stress to inhibit nitrification compared to Y3. Furthermore, with the progressive intensification of stress induced by HRT reduction, microorganisms gradually enhanced their adaptation to aniline. This led to an increased migration of microorganisms towards the inner layers of the biofilm, resulting in enhanced functional complementarity between the sludge and biofilm in Y2. Also, there was a distinct development of autotrophic denitrification, with arenimonas predominant in Y1, and Thauera predominant in Y2 and Y3. Moreover, Y2 possessed a high abundance of functional genes related to the production and reception of quorum sensing signal molecules, which may enhance the electron transport-dependent nitrogen metabolism reaction.

A low-carbon multigeneration system based on a solar collector unit, a bio waste gasification process and a water harvesting unit

Abstract In this study, we introduce and examine a novel multigeneration cycle powered by low-carbon bio-waste and integrated with a solar thermal component. This system is designed to convert sewage sludge into a variety of useful products. The cycle utilizes anaerobic digestion and gasification to produce biogas and syngas. Additionally, it incorporates processes for generating water and hydrogen energy, utilizing the atmospheric water harvesting unit and water/gas shift reaction, sequentially. The system employs a Rankine cycle, a Brayton cycle and two organic Rankine cycles (ORCs) for electricity generation. A significant portion of the heat and electricity in this proposed project is sourced from a waste heat recovery system. This innovative project not only presents a new structure and configuration for product generation but also addresses energy, water and environmental challenges concurrently. The energy system’s performance has been thoroughly assessed in terms of thermodynamics, environmental impact and economic feasibility. The proposed plant is capable of producing an estimated 17 920 kW of electric power, 3207.6 kg/h of hydrogen energy and 5.14 × 10−3 L/s of freshwater. Under these design conditions, the energy and exergy efficiencies of the system were determined to be 35.76% and 40.49%, respectively. Additionally, the exergy sustainability factor, the levelized total emitted carbon dioxide and the unit cost of total products were characterized to be 52.28%, 0.2145 kg per kWh and 0.05219 $ per kWh, respectively.

Operation and control of compact offshore combined cycles for power generation

Gas turbines are the main means for generating power in offshore installations. To increase energy efficiency, and thus reduce CO2 emissions, a steam bottoming cycle can be added to produce additional power by recovering surplus heat from the gas turbine exhaust. Due to space constraints, this solution is not widespread for offshore power generation. To enable deployment, the system must be compact and be able to provide varying power demands. In this paper, we analyze the operation and control problem for such compact combined cycles, consisting of two gas turbines and one steam bottoming cycle. We analyze the steady-state performance of the combined cycle with respect to efficiency and CO2 emissions for two control strategies for coordinating the power setpoint of the two gas turbines. Equal load allocation of the gas turbines showed a higher thermal efficiency and lower emissions compared to keeping one gas turbine close to nominal and letting the second one handle load variations. The main controlled variables for the steam bottoming cycle are the superheated steam pressure and temperature. We implement decentralized control strategies based on standard PID-controllers and nonlinear feedforward. Due to reduced throttle losses, sliding pressure shows higher efficiency and lower CO2 emissions compared to keeping a constant steam pressure, which conversely provides a better temperature dynamic response and may be necessary with highly varying power demand.

Process development and multi-criteria optimization of a biomass gasification unit combined with a novel CCHP model using helium gas turbine, kalina cycles, and dual-loop organic flash cycle

The non-renewable nature of conventional power plants and the challenges associated with fuel costs and environmental impact highlight the need for innovative solutions. This research proposes a biomass-based combined system designed to produce multiple products, including electric power, coolant, and heat, addressing the drawbacks associated with conventional power generation. The proposed system integrates a biomass gasification unit with a helium gas turbine and a Kalina power unit. Additionally, a domestic water heater is incorporated into the Kalina cycle for heat generation, and the heat loss from the helium gas turbine is utilized in a modified Kalina cycle with a refrigeration unit. To further enhance efficiency, a dual-loop organic flash cycle is employed to recycle waste heat from the modified Kalina cycle. The analysis of this framework encompasses technical aspects, including energy, exergy, and economic considerations. The system is optimized using the multiple-objective particle swarm optimization method. Two scenarios are explored based on the desired product capacities: heat-electric power and coolant-electric power. In the first scenario, the system demonstrates an optimal electric power generation capacity of 6239.56 kW, along with favorable exergetic and economic outcomes. The optimal exergetic efficiency, net present value, and payback period are determined as 35.57 %, 15.07 M$, and 3.97 years, respectively. This research presents a comprehensive approach to biomass-based power generation, considering both technical and economic aspects, and provides valuable insights for sustainable energy solutions.

Ammonia fired gas turbines: Recent advances and future perspectives

Transition to carbon-neutral energy generation is a reality, and great efforts are being made in this direction in the last years. Ammonia is a promising carbon-free fuel, and it can be used as a gas turbine fuel in existing power generation cycles without significant modification. This paper considers various aspects of the use of ammonia as a gas turbine fuel: it provides a review of existing ammonia-fired gas turbines and conducts a study of the prospective technology of using ammonia via thermochemical transformation into hydrogen-rich gas. Moreover, this paper considers on-board hydrogen production technology via thermochemical ammonia transformation. The ammonia fired chemically recuperated gas turbine is analyzed for which the thermal efficiency can be increased up to 5%–7% comparing to traditional gas turbines. Moreover, hydrogen-rich fuel with a hydrogen mole fraction up to 75% is used as a fuel, leading to more stable combustion with lower NOx emission up to 6–10 ppm. Additionally, an approach to on-board hydrogen production from ammonia via the utilization of solar energy is investigated. It is shown that solar energy can replace up to 25% of heat obtained via ammonia combustion. The paper discusses future perspectives in investigations for ammonia-fired gas turbines with on-board ammonia transformation.

Proposal and comprehensive analysis of a new high-efficiency combined cycle for simultaneous power generation, refrigeration, or heating to meet seasonal energy demand

The emergence of energy-related issues and the growing need for year-round energy supply has created a pressing demand for efficient cogeneration combined cycles. To this end, a new combined cycle using ammonia-water as the working fluid is proposed and studied from both thermodynamic and economic standpoints in this paper. The proposed cycle can effectively operate in power generation, power/refrigeration cogeneration and power/heating cogeneration modes. Parametric analysis and performance optimization of the proposed cycle are carried out, and the genetic algorithm method is employed for the optimization. Under the same initial conditions, the proposed cycle exhibits comprehensive power recovery efficiencies that are 58.11 %, 23.85 %, and 7 % relatively higher than those of the compared cogeneration cycles and Kalina cycle reported in the literature, respectively. The optimization results show that the maximum comprehensive power recovery efficiencies for the power/refrigeration, power/heating and power modes with heat source/cooling water temperature of 250℃/30℃, are 0.2271, 0.2658, and 0.1789, respectively. The associated power/refrigeration, power/heating, and power outputs are 221.1 kW/417.8 kW, 248.5 kW/650.9 kW, and 292.1 kW, respectively. Under these conditions, the overall annual unit cost of comprehensive power and the payback period of the cycle are 0.03947 $/kWh and 3.898 years. Results of the comprehensive analysis indicate that the proposed cycle can achieve satisfactory comprehensive performance for each mode, while also sufficiently recovering sensible heat source.