CHP System Research Articles

Thermodynamic Assessment of a Gas Turbine System Combined with A Solid Oxide Fuel Cell Powered by Synthetic Gas from Municipal Solid Waste

In this work, a detailed thermodynamic analysis is performed on a solid oxide fuel cell-gas turbine combined system. The fuel input to the fuel cell is the synthetic gas produced from the gasification of municipal solid waste. The efficiency and output power of the system are calculated and the system is analyzed for its performance by variation of parameters which includes compression ratio, fuel utilization factor and current density. The work is done based on the Municipal solid waste generated in Indian cities. Destruction of exergy is calculated from exergy analysis. System is modelled using flow sheeting program Cycle Tempo®. Components contributing to major exergy destruction are combustor and fuel cell. Energy efficiency of 44.5%, exergy efficiency of 39.2% and a power output of 170 kW is obtained in this system. This CHP system is very much acceptable for restaurants, shopping complex and other small-scale applications where power requirement is less.

Model-Based Analysis of a Combined Heat and Power System Featuring a Hydrogen-Fired Gas Turbine With On-Site Hydrogen Production and Storage

Abstract Hydrogen-fired gas turbines can play an important role in carbon-neutral energy and industry sectors. However, the required demand-oriented supply of CO2-neutral hydrogen is technically and economically challenging. These challenges arise due to interdependencies between the volatility of renewable power generation, available hydrogen production capacities, available hydrogen storage capacities and the operational demands to be met by gas turbines. The present study aims to quantify these interdependencies by conducting a model-based analysis of an exemplary CHP system featuring a hydrogen-fired industrial gas turbine with on-site hydrogen production via electrolysis and on-site hydrogen storage. To identify the sought-after interdependencies, simulations featuring various system parameterizations are analyzed. If only local power surpluses are utilized for the operation of electrolyzers, the results show a nonlinear impact of both the hydrogen production capacity and the hydrogen storage capacity on the hydrogen-based gas turbine operation. Furthermore, the results indicate that an exclusive utilization of local power surpluses leads to limited periods of hydrogen-based gas turbine operation and low utilization rates of the hydrogen production and storage capacities. If additional power for the operation of electrolyzers is supplied by the grid, increased utilization rates and prolonged periods of hydrogen-based gas turbine operation can be achieved. However, to realize an overall reduction of CO2 emissions, this mode of operation requires the supply of large quantities of renewable power by the grid. The results of an additional economic assessment reveal that both investigated operational modes are not economically viable within the considered economic framework.

Codigestion and combined heat and power systems energize wastewater treatment plants – Analysis and case studies

Wastewater treatment industry aims to transform from being an energy consumer to an energy producer by recovering energy embedded in wastewater. There are several ways to achieve energy self-sufficiency or energy-positive status in wastewater treatment plants. This paper presents an energy performance analysis of wastewater treatment considering both energy efficiency and energy recovery mechanisms. Various treatment scenarios based on wastewater characteristics, plant capacity, primary treatment efficiency, and supplemental feedstock are considered to evaluate the potential for energy recovery in wastewater treatment. Energy efficiency (process equipment upgrades), carbon capture enhancement through sludge removal in primary treatment unit and biogas production through the addition of supplemental feedstock are considered in the analysis. Codigestion and combined heat and power system integration is considered to enhance biogas production and in turn electricity and heat production from wastewater treatment. Case studies highlighting the progress of codigestion and CHP integration are discussed in detail to understand the impact of various feedstock and technology combinations. The study confirms that carbon capture in the primary treatment unit can contribute to downstream energy conservation as well as enhanced biogas production. The energy recovery potential in wastewater treatment also increased with organic strength of the wastewater and the treatment capacity. Further, the type of CHP unit, number and size are critical factors in optimizing the energy losses in the conversion process. Despite the codigestion challenges and the capital costs required for both CHP and codigestion systems, their integration still leads the way forward for energy-positive and cost-effective wastewater treatment plants.

Optimal Scheduling of Non-Convex Cogeneration Units Using Exponentially Varying Whale Optimization Algorithm

This paper proposes an Exponentially Varying Whale Optimization Algorithm (EVWOA) to solve the single-objective non-convex Cogeneration Units problem. This problem seeks to evaluate the optimal output of the generator unit to minimize a CHP system’s fuel costs. The nonlinear and non-convex characteristics of the objective function demands a powerful optimization technique. The traditional Whale Optimization Algorithm (WOA) is improved by incorporating four different acceleration functions to fine-tune its performance during exploration and exploitation phases. Among the four variants of the proposed WOA, the emphasis is laid on the EVWOA which uses the exponentially varying acceleration function (EVAF). The proposed EVWOA is tested on six different small-scale to large-scale systems. The results obtained for these six test systems, followed by a statistical study highlight the supremacy of EVWOA for finding the best optimal solution and the convergence traits.

A new configuration of autonomous CHP system based on improved version of marine predators algorithm: A case study

The present paper describes a new optimal design for an autonomous renewable energy-based CHP system for a remote area in Zhidoi county, China. The configuration contains different parts of the electric heater (EH), photovoltaic-thermal (PV/T), wind turbines (WTs), thermal energy storage (TES), and electrical energy storage (EES). The total annual cost (TAC) is utilized as a cost function of the system configuration and the idea is to minimize this function to access an optimal configuration. Due to the complicated nonlinear nature of this system, a metaheuristic-based method, called Improved Marine Predators Algorithm (IMPA) has been introduced and designed. The reason for using this new algorithm is to cover the main drawbacks of most metaheuristics like better accuracy and higher convergence speed. To show the capability of the designed IMPA, it is validated by some different new metaheuristics from the literature. Afterward, the algorithm is used for system configuration optimization. Some sensitivity analysis is also investigated to shoe the method capability and the final results confirm the high ability of the proposed method for providing an optimal renewable energy-based CHP system. The final results show a $56 307.74 value of TAC. The total efficiency of the system for the winter and the summers are 66% and 61%, respectively and the minimum total annual cost happens at AD = 0.8983. Finally, the minimum value of the total annual cost is achieved by the proposed method with 922.4 kWh.

Integration of Combined Heat and Power Energy Systems with Gas Turbine in Locally Integrated Energy Sectors

World energy consumption has been increasing drastically due to the increment world population, with the high consumption from industry, residential, commercial and community service buildings. Locally Integrated Energy Sector (LIES) is introduced to minimize the energy consumption for the commercial and residential units integrated. The LIES concept extended from the Pinch Analysis-based multiple-processes Heat Integration considers energy intermittency and storage. The LIES started from thermal energy conservation, then extended to power and heat energy optimisation. The methodology aimed to maximize the energy recovery between processes across time for minimizing the overall energy consumption, which lead to energy and operating cost saving. The system integrates with steam turbines and energy storages (heat and power) to minimize the waste heat available in the LIES system. This research focuses on the energy source for overall LIES system, which the conventional boiler is replaced with a combined cycle CHP system with gas turbine. The CHP system consumes natural gas to generate heat and power energy for the system. The sequence of heat and power optimisation, via heat and power integration, is also studied in this research. The design and operating parameter of the gas turbine system is affected by the sequences of optimisation. The CHP system operates to fulfil the heat demand or power demand at the first place, which leads to different overall consumptions. The integration options are compared based on the overall energy consumption and operating costs. Result shows that the power-to-heat optimisation has the least overall energy consumption (1,434 kW/y), which contributes to the highest annual energy saving and operation cost saving (203,397 USD/y).

Integrated production of second-generation ethanol and biogas from sugarcane bagasse pretreated with ozone

Considering the lignocellulosic biorefinery, the present work evaluated the energy potential related to biogas production from the anaerobic digestion (both at one- and two-stage) of the main residues derived from sugarcane bagasse (SB) pretreatment with ozone aiming its further use for 2G ethanol. The results showed that 2G ethanol production was maximized under mild ozonation conditions (7.5 mgO3 gSB−1), generating 30 L ethanol tonSB−1, which corresponds to a revenue of 17 USD tonSB−1 with sale. Despite not leading to profits, the use of electric energy generated through CHP system (by burning the biogas produced at two-stage anaerobic digestion) covered the energy costs involved in SB ozonation. A combined pretreatment consisting of SB ozonation followed by alkaline extraction (AE) provided the highest 2G ethanol production (66 L tonSB−1) under the most severe conditions (97.5 mgO3 gSB−1), and resulted in 37 USD tonSB−1 with ethanol sale. Despite this, process sustainability was only achieved when the anaerobic digestion of main residues was taken into account and the combined O3+AE was used under the mildest SB ozonation. At these conditions, the surplus energy (~ 30 MW per harvest) had the potential to supply about 320,000 inhabitants during the crop harvest.

The Optimal Selection of Capacity Sizing and Operational Strategy of CHP System for Public Buildings with Novel Heat Trading Using Local Thermal Storage

The effects of capacity sizing and operational strategy of the CHP systems were numerically studied for optimal energy management of the CHP-based public building thermal energy network with novel heat trading using local thermal storage system (LTS). The mixed integer linear program (MILP) based model was developed to minimize the total operation cost of the entire buildings energy network at each time step based on the electricity and heat demands for public buildings in the considered energy network. The public building energy network considered in this study consists of three different buildings (hotel, hospital, and public office buildings) with a small individual CHP system for each building, a large central CHP system, and a LTS system connected to each building. The LTS makes it possible for each building consisting the same energy network to trade excess heat among buildings. The economically optimal capacity sizing of the small individual CHPs at each building, the central large CHP, and the LTS were suggested under various operational strategies and various arrangements of the several small CHPs (gas-engine, gas-turbine, and fuel-cell) installed in each building to minimize the operation cost.

Preliminary assessment of a microgrid integrated with a biomass gasification CHP system for a production facility in Central Italy

The aim to reduce carbon dioxide emissions and to improve buildings energy efficiency has led to develop smart grids to manage electricity and heat. The work deals with the thermal and electric microgrid analysis of the Loccioni Company: the production facility consists of high-energy performance industrial and office buildings, partially powered by produced on-site renewable energy (solar PV, hydropower plants, water ground heat pumps). The challenge of continuous improvement in the use of energy led the company to develop a thermal microgrid for optimal management of the heat produced by a small-scale CHP system (50 kWel/110 kWth). The cogeneration system is based on biomass (pellet) chemical degradation process of gasification. The work discusses preliminary results relating to the first months of the system operation, to highlight the energy benefits and the critical issues. Data are collected by the Company monitoring system and a laboratory feedstock physico-chemical characterization is carried out. The main goal of this paper is to lay the foundations for the development of an energy management system that regulates energy flows between buildings. The development of the thermal microgrid will guarantee not only tangible benefits in terms of energy savings but also an increase in the resilience of the entire building/plant system.

Energy and Exergy Analysis of a Novel CHP System Powered by Recuperative ORC with Water Heating System

This study focuses on the thermodynamic analysis of the high-temperature recuperative organic Rankine cycle with a water heating system, which can provide a net power of 585.7kW and hot water for domestic purposes at 35°C. The performance was analyzed using seasonal ambient temperature and water temperature reports of Seoul, South Korea. Besides the turbine 1 outlet the working fluid is divided into two different mass fractions, thus one provides heat to recuperated (R-ORC) ORC and another part is passed to the water heating system to heat the water. The mass fractions are balanced based on the projected seasonal urge for hot water. Out of four working fluids with high critical temperature for the top cycle and five working fluids with low critical temperature for the bottom cycle, Chlorobenzene is selected for the top cycle and pentane is used for the bottom cycle. The system achievement in individual months is analyzed using thermal efficiency and exergy efficiency. The comparison in the performance of both the hottest (when the urge for hot water is low) and coldest (when the urge for hot water is high) months was also analyzed.

Study of the operation of straw-fired boiler dedicated to steam generation for micro-cogeneration system

The combined heat and power generation (CHP), based on the use of renewable energy sources, is an essential aspect of currently developing energy systems. Among the other renewable sources, biomass is characterized by high caloric value, wide availability, and low prices. This paper shows the operational aspects of the prototypical micro-scale CHP system powered by a straw-fired batch boiler and works according to the modified Rankine cycle. Based on the previously conducted studies, a dedicated construction of a 100-kW straw-fired batch boiler was designed and implemented. Thermal oil heated in the boiler is transferred respectively to the evaporator, superheater, and additional oil/water heat exchanger. The control of the system operation is realized using a dedicated automation system based on the programmable logic controller (PLC). Presented results include the impact of various fuel inputs on the thermal oil heating process. The average power transferred from the boiler to the thermal oil in the case of a single combustion process was ca. 69 MJ/h (consequently the amount of transferred energy was ca. 121 MJ). During the continuous combustion process, the average power was ca. 169 MJ/h and energy transferred from the boiler to the oil was ca. 542 MJ. The power generated in the power generator resulted mainly from three parameters: the actual steam pressure and steam flow as well as from the actual set of electric load. The maximum power in the case of operation without maximum power tracking was 825 W, while the maximum power obtained when maximum power tracking was used was ca. 1,150 W. Such a low value of electricity generation was a consequence of the system’s limitations (resulting e.g. in a significant drop in steam temperature and pressure in the steam bus). Finally, a list of possible modifications was given.

Modeling and Experimental Validation of Compression and Storage of Raw Biogas

A significant challenge in sustainability and development of energy systems is connected with limited diversity and availability of fuels, especially in rural areas. A potential solution to this problem is compression, transport, and storage of raw biogas, that would increase diversity and availability of energy sources in remote areas. The aim of this study was to perform experimental research on raw biogas compression concerning biogas volume that can be stored in a cylinder under the pressure of 20 MPa and to compare obtained results with numerical models used to describe the state of gas at given conditions. Results were used to determine the theoretical energy content of raw biogas, assuming its usage in CHP systems. In the study, six compression test runs were conducted on-site in an agricultural biogas plant. Compression time, pressure as well as gas volume, and temperature rise were measured for raw biogas supplied directly from the digester. Obtained results were used to evaluate raw biogas compressibility factor Z and were compared with several equations of state and numerical methods for calculating the Z-factor. For experimental compression cycles, a theoretical energy balance was calculated based on experimental results published elsewhere. As a result, gas compressibility factor Z for storage pressure of 20 MPa and a temperature of 319.9 K was obtained and compared with 6 numerical models used for similar gases. It was shown that widely known numerical models can predict the volume of compressed gas with AARE% as low as 4.81%. It was shown that raw biogas supplied directly from the digester can be successfully compressed and stored in composite cylinders under pressure up to 20 MPa. This proposes a new method to utilize raw biogas in remote areas, increasing the diversity of energy sources and increasing the share of renewable fuels worldwide.

Optimal design of a micro combined CHP system applying PEM fuel cell as initial mover with utilization of Developed Pathfinder Optimizer

The use of Combined Cooling, Heating, and Power (CHP) system, as one of the possible solutions to increase efficiency and to reduce environmental pollution, is rapidly increasing in residential units. The primary mover of combined CHP-based buildings can be based on gas-burning engine, micro-turbine, fuel cell (FC), or a sterling engine. Characteristics such as higher effectiveness, very lower pollution, without moving parts, modularity, and extensive suffering for FCs have led many developed countries to support FC development at the top of their budget plans. In the present study, to reduce the power demand, a new optimal arrangement has been suggested for the combined CHP system in a residential building in Yazd, Iran. The research gives a Developed version of Pathfinder Optimizer (DPF) to optimize the combined CHP configuration by considering the highest unified operation for the suggested combined CHP system. A comparison of the outcomes of the suggested method with the SMS algorithm and basic PF algorithm is carried out to indicate the algorithm superiority. The final results show that using the considered method decreases the ratio of carbon dioxide emission ratio (RCDE). The results also showed that based on the proposed method, yearly overall cost-saving (YOCS) has the minimum effect on the combined effectiveness.

Optimal design of a proton exchange membrane fuel cell-based combined cooling, heating, and power system by an enhanced version of farmland fertility optimizer

ABSTRACT A multiple-objective optimization method has been suggested for a combined cooling, heating, and power (CCHP) system in this study. The combined CHP system includes a heat-recovery system, a humidifier, a gas compressor, and a small size absorption chiller along with a 5-kilowatts Proton Exchange Membrane (PEM) Fuel Cell stack. An enhanced version of Farmland Fertility Optimizer has been suggested for developing the system efficiency concerning economics, environment, and thermodynamics. For system efficiency validation, it has been analyzed in terms of exergy and energy effectiveness, pollutant emission decline, and yearly expense and a comparison of the results with NSGA-II from the literature, and the basic FFO algorithm is carried out. The results show that the maximum value for the exergy efficiency and the annual GHG reduction is 48.08% and 5.45e7 g, respectively. Also, the annual cost has been decreased to 28.30e3 $. Simulation results show 35.12% energy effectiveness which is better than the compared methods.

System Design and Optimisation Study on a Novel CCHP System Integrated with a Hybrid Energy Storage System and an ORC

For achieving higher energy transferring efficiency from the resources to the load, the Combined Cooling, Heating, and Power (CCHP) systems have been widely researched and applied as an efficient approach. The key idea of this study is designing a novel structure of a hybrid CCHP system and evaluating its performance. In this research, there is a hybrid energy storage unit enhancing the whole system’s operation flexibility while supplying cooling, heating, and power. An ORC system is integrated into the CCHP system which takes responsibility of absorbing the low-temperature heat source for electricity generation. There are a few research studies focusing on the CCHP systems’ performance with this structure. In order to evaluate the integrated system’s performance, investigation and optimisation work has been conducted with the approaches of experimental studies and modelling simulation. The integrated system’s configuration, the model building process of several key components, the optimisation method, and the case studies are discussed and analysed in this study. The design of the integrated system and the control strategy are displayed in detail. Several sets of dynamic energy demand profiles are selected to evaluate the performance of the integrated system. The simulation study of the system supplying selected scenarios of loads is conducted. A comprehensive evaluation report indicates that the system’s efficiency during each study process differs while supplying different loads. The results include the power supplied by each component, the energy consumed by each type of load, and the efficiency improvements. It is found that the integrated system fully satisfies the selected domestic loads and various selected scenarios of loads with high efficiency. Compared to conventional power plants or CHP systems, the system efficiency enhancement comes from higher amount of recovery waste heat. Especially, the ORC system can absorb the low-temperature heat source for electricity generation. Compared to the original following electrical load (FEL) control strategy, the optimisation process brings overall efficiency improvements. The system’s overall efficiency was increased by from 3%, 3.18%, 2.85%, 17.11%, 8.89%, and 21.7% in the second case studies. Through the whole study, the main challenge lies within the design and the energy management of the integrated system.

Complementarity between Combined Heat and Power Systems, Solar PV and Hydropower at a District Level: Sensitivity to Climate Characteristics along an Alpine Transect

Combined heat and power systems (CHP) produce heat and electricity simultaneously. Their resulting high efficiency makes them more attractive from the energy managers’ perspective than other conventional thermal systems. Although heat is a by-product of the electricity generation process, system operators usually operate CHP systems to satisfy heat demand. Electricity generation from CHP is thus driven by the heat demand, which follows the variability of seasonal temperature, and thus is not always correlated with the fluctuation of electricity demand. Consequently, from the perspective of the electricity grid operator, CHP systems can be seen as a non-controllable energy source similar to other renewable energy sources such as solar, wind or hydro. In this study, we investigate how ‘non-controllable’ electricity generation from CHP systems combines with ‘non-controllable’ electricity generation from solar photovoltaic panels (PV) and run-of-the river (RoR) hydropower at a district level. Only these three energy sources are considered within a 100% renewable mix scenario. Energy mixes with different shares of CHP, solar and RoR are evaluated regarding their contribution to total energy supply and their capacity to reduce generation variability. This analysis is carried out over an ensemble of seventeen catchments in North Eastern Italy located along a climate transect ranging from high elevation and snow dominated head-water catchments to rain-fed and wet basins at lower elevations. Results show that at a district scale, integration of CHP systems with solar photovoltaic and RoR hydropower leads to higher demand satisfaction and lower variability of the electricity balance. Results also show that including CHP in the energy mix modifies the optimal relative share between solar and RoR power generation. Results are consistent across the climate transect. For some districts, using the electricity from CHP might also be a better solution than building energy storage for solar PV.

Thermo-economic and environmental multi-objective optimization of a novel arranged biomass-fueled gas engine and backpressure steam turbine combined system for pulp and paper mills

For gaining both the maximum profit and the minimum exergy loss, a novel arranged gas engine combined heating and power system is proposed. This system was modeled in four aspects of energy, exergy, economic and environmental. By defining two objective functions including percentage of exergy destruction to the total inlet exergy and relative annual benefit, Genetic Algorithm was used for system multi-objective optimization. Modeling two strategies including selling mode and no-selling mode during system lifetime was another novel part of the present research. Modeling and optimization results in selling mode for Mazandaran pulp and paper plant in Iran showed that combined heating and power cycle included five gas engines each one with 6737 kW nominal power output and one steam turbine which had 667.4 kW power output. The overall efficiency of the above CHP system was 80.5% with about 1.07 years as the payback period. Comparison of results with that for traditional system showed 3.1 × 107 m3/year fuel saving, 2.63 × 106 US $/year fuel cost saving, and 1.84 × 108 kgCO2/year reduction in emission production. With no-selling mode condition, relative annual benefit decreased for about 19% and payback period increased for about 11.6%.

ChpC controls twitching motility-mediated expansion of Pseudomonas aeruginosa biofilms in response to serum albumin, mucin and oligopeptides.

Twitching motility-mediated biofilm expansion occurs via coordinated, multi-cellular collective behaviour to allow bacteria to actively expand across surfaces. Type-IV pili (T4P) are cell-associated virulence factors which mediate twitching motility via rounds of extension, surface attachment and retraction. The Chp chemosensory system is thought to respond to environmental signals to regulate the biogenesis, assembly and twitching motility function of T4P. In other well characterised chemosensory systems, methyl-accepting chemotaxis proteins (MCPs) feed environmental signals through a CheW adapter protein to the histidine kinase CheA to modulate motility. The Pseudomonas aeruginosa Chp system has an MCP PilJ and two CheW adapter proteins, PilI and ChpC, that likely interact with the histidine kinase ChpA to feed environmental signals into the system. In the current study we show that ChpC is involved in the response to host-derived signals serum albumin, mucin and oligopeptides. We demonstrate that these signals stimulate an increase in twitching motility, as well as in levels of 3'-5'-cyclic adenosine monophosphate (cAMP) and surface-assembled T4P. Interestingly, our data shows that changes in cAMP and surface piliation levels are independent of ChpC but that the twitching motility response to these environmental signals requires ChpC. Furthermore, we show that protease activity is required for the twitching motility response of P. aeruginosa to environmental signals. Based upon our data we propose a model whereby ChpC feeds these environmental signals into the Chp system, potentially via PilJ or another MCP, to control twitching motility. PilJ and PilI then modulate T4P surface levels to allow the cell to continue to undergo twitching motility. Our study is the first to link environmental signals to the Chp chemosensory system and refines our understanding of how this system controls twitching motility-mediated biofilm expansion in P. aeruginosa.

A multi-criteria optimization for a CCHP with the fuel cell as primary mover using modified Harris Hawks optimization

ABSTRACT An effective way of increasing the effectiveness, energy use decline, and reducing emissions are the Combined Cooling, Heating, and Power (CCHP) system. In this paper, an optimization procedure based on a new modified metaheuristic method, called Modified Harris Hawks Optimization (MHHO) algorithm has been introduced for developing the efficiency of the Combined CHP system in with regards to the economics, environment, and thermodynamics assessment. The CCHP system includes a 5-kW Proton-Exchange Membrane (PEM) Fuel Cell stack for increasing efficiency. To validate the capability of the suggested algorithm, it first verified by some different metaheuristics, and then, it is used for the optimization of the CCHP system. A comparison of the outcomes of the suggested MHHO algorithm with the basic HHO algorithm and also NSGA-II from the literature is carried out to show lower operating temperature, and higher relative humidity, greenhouse gas emission decline, exergy performance of the system, and pressure of inlet gases for the suggested method. Simulation results showed that by growing the current mass, the annual greenhouse gas value is amplified to the maximum value of 15.65 × 106 g at 896 mA/cm2 and is decreased until the power variation in the system has been equivalent. The results also indicated that the suggested MHHO algorithm gives maximum value for the annual GHG reduction of about 4.50 e6 g and 50.1% exergy efficiency during with 3.07e7 g annual cost decreasing.

Thermodynamic comparison of two novel combined systems based on solar loop heat pipe evaporator

Abstract We propose two novel solar thermal cogeneration systems for efficient solar energy conversion. The systems considered are loop heat pipe based solar CHP system with single stage turbine and loop heat pipe based solar CHP system with double stage turbine. A perfect thermodynamic analysis of the proposed systems are reported. Energy and exergy analyses are used to identifying the exergy destruction rate in any component and investigate the systems performance. The results show that the energy and exergy efficiencies of the solar CHP system with double stage turbine are 71.76% and 11.26% respectively while energy and exergy efficiencies of the solar CHP system with single stage turbine are 71.76% and 11.22% respectively. The net power rate of the CHP system increases about 0.4% by using double stage turbine. The results also showed that the main source of the exergy destruction is the solar loop heat pipe evaporator for both considered systems. Furthermore, results revealed that our novel system is a promising option for applications to solar systems and processes.