# Optimization of Solar CCHP Systems with Collector Enhanced by Porous Media and Nanofluid

Authors: Navid Tonekaboni; Mahdi Feizbahr; Nima Tonekaboni; Guang-Jun Jiang; Hong-Xia Chen
Journal: Mathematical Problems in Engineering
 (2021)

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## Abstract

The low efficiency of solar collectors can be mentioned as one of the problems in solar combined cooling, heating, and power (CCHP) cycles. For improving solar systems, nanofluid and porous media are used in solar collectors. One of the advantages of using porous media and nanoparticles is to absorb more energy under the same conditions. In this research, a solar combined cooling, heating, and power (SCCHP) system has been optimized by porous media and nanofluid for generating electricity, cooling, and heating of a 600 m2 building in a warm and dry region with average solar radiation of Ib = 820 w/m2 in Iran. In this paper, the optimal amount of nanofluid in porous materials has been calculated to the extent that no sediment is formed. In this study, solar collectors were enhanced with copper porous media (95% porosity) and CuO and Al2O3 nanofluids. 0.1%–0.6% of the nanofluids were added to water as working fluids; it is found that 0.5% of the nanofluids lead to the highest energy and exergy efficiency enhancement in solar collectors and SCCHP systems. Maximum energy and exergy efficiency of parabolic thermal collector (PTC) riches in this study are 74.19% and 32.6%, respectively. Figure 1 can be mentioned as a graphical abstract for accurately describing the cycle of solar CCHP.


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## Body

## 1. Introduction

Due to the increase in energy consumption, the use of clean energy is one of the important goals of human societies. In the last four decades, the use of cogeneration cycles has increased significantly due to high efficiency. Among clean energy, the use of solar energy has become more popular due to its greater availability [1]. Low efficiency of energy production, transmission, and distribution system makes a new system to generate simultaneously electricity, heating, and cooling as an essential solution to be widely used. The low efficiency of the electricity generation, transmission, and distribution system makes the CCHP system a basic solution to eliminate waste of energy. CCHP system consists of a prime mover (PM), a power generator, a heat recovery system (produce extra heating/cooling/power), and thermal energy storage (TES) [2]. Solar combined cooling, heating, and power (SCCHP) has been started three decades ago. SCCHP is a system that receives its propulsive force from solar energy; in this cycle, solar collectors play the role of propulsive for generating power in this system [3].Increasing the rate of energy consumption in the whole world because of the low efficiency of energy production, transmission, and distribution system causes a new cogeneration system to generate electricity, heating, and cooling energy as an essential solution to be widely used. Building energy utilization fundamentally includes power required for lighting, home electrical appliances, warming and cooling of building inside, and boiling water. Domestic usage contributes to an average of 35% of the world’s total energy consumption [4].Due to the availability of solar energy in all areas, solar collectors can be used to obtain the propulsive power required for the CCHP cycle. Solar energy is the main source of energy in renewable applications. For selecting a suitable area to use solar collectors, annual sunshine hours, the number of sunny days, minus temperature and frosty days, and the windy status of the region are essentially considered [5]. Iran, with an average of more than 300 sunny days, is one of the suitable countries to use solar energy. Due to the fact that most of the solar radiation is in the southern regions of Iran, also the concentration of cities is low in these areas, and transmission lines are far apart, one of the best options is to use CCHP cycles based on solar collectors [6]. One of the major problems of solar collectors is their low efficiency [7]. Low efficiency increases the area of collectors, which increases the initial cost of solar systems and of course increases the initial payback period. To increase the efficiency of solar collectors and improve their performance, porous materials and nanofluids are used to increase their workability.There are two ways to increase the efficiency of solar collectors and mechanical and fluid improvement. In the first method, using porous materials or helical filaments inside the collector pipes causes turbulence of the flow and increases heat transfer. In the second method, using nanofluids or salt and other materials increases the heat transfer of water. The use of porous materials has grown up immensely over the past twenty years. Porous materials, especially copper porous foam, are widely used in solar collectors. Due to the high contact surface area, porous media are appropriate candidates for solar collectors [8]. A number of researchers investigated Solar System performance in accordance with energy and exergy analyses. Zhai et al. [9] reviewed the performance of a small solar-powered system in which the energy efficiency was 44.7% and the electrical efficiency was 16.9%.Abbasi et al. [10] proposed an innovative multiobjective optimization to optimize the design of a cogeneration system. Results showed the CCHP system based on an internal diesel combustion engine was the applicable alternative at all regions with different climates. The diesel engine can supply the electrical requirement of 31.0% and heating demand of 3.8% for building.Jiang et al. [11] combined the experiment and simulation together to analyze the performance of a cogeneration system. Moreover, some research focused on CCHP systems using solar energy. It integrated sustainable and renewable technologies in the CCHP, like PV, Stirling engine, and parabolic trough collector (PTC) [2, 12–15].Wang et al. [16] optimized a cogeneration solar cooling system with a Rankine cycle and ejector to reach the maximum total system efficiency of 55.9%. Jing et al. analyzed a big-scale building with the SCCHP system and auxiliary heaters to produced electrical, cooling, and heating power. The maximum energy efficiency reported in their work is 46.6% [17]. Various optimization methods have been used to improve the cogeneration system, minimum system size, and performance, such as genetic algorithm [18, 19].Hirasawa et al. [20] investigated the effect of using porous media to reduce thermal waste in solar systems. They used the high-porosity metal foam on top of the flat plate solar collector and observed that thermal waste decreased by 7% due to natural heat transfer. Many researchers study the efficiency improvement of the solar collector by changing the collector’s shapes or working fluids. However, the most effective method is the use of nanofluids in the solar collector as working fluid [21]. In the experimental study done by Jouybari et al. [22], the efficiency enhancement up to 8.1% was achieved by adding nanofluid in a flat plate collector. In this research, by adding porous materials to the solar collector, collector efficiency increased up to 92% in a low flow regime. Subramani et al. [23] analyzed the thermal performance of the parabolic solar collector with Al2O3 nanofluid. They conducted their experiments with Reynolds number range 2401 to 7202 and mass flow rate 0.0083 to 0.05 kg/s. The maximum efficiency improvement in this experiment was 56% at 0.05 kg/s mass flow rate.Shojaeizadeh et al. [24] investigated the analysis of the second law of thermodynamic on the flat plate solar collector using Al2O3/water nanofluid. Their research showed that energy efficiency rose up to 1.9% and the exergy efficiency increased by a maximum of 0.72% compared to pure water. Tiwari et al. [25] researched on the thermal performance of solar ﬂat plate collectors for working fluid water with different nanoﬂuids. The result showed that using 1.5% (optimum) particle volume fraction of Al2O3 nanoﬂuid as an absorbing medium causes the thermal efﬁciency to enhance up to 31.64%.The effect of porous media and nanofluids on solar collectors has already been investigated in the literature but the SCCHP system with a collector embedded by both porous media and nanofluid for enhancing the ratio of nanoparticle in nanofluid for preventing sedimentation was not discussed. In this research, the amount of energy and exergy of the solar CCHP cycles with parabolic solar collectors in both base and improved modes with a porous material (copper foam with 95% porosity) and nanofluid with different ratios of nanoparticles was calculated. In the first step, it is planned to design a CCHP system based on the required load, and, in the next step, it will analyze the energy and exergy of the system in a basic and optimize mode. In the optimize mode, enhanced solar collectors with porous material and nanofluid in different ratios (0.1%–0.7%) were used to optimize the ratio of nanofluids to prevent sedimentation.


## 2. Cycle Description

CCHP is one of the methods to enhance energy efficiency and reduce energy loss and costs. The SCCHP system used a solar collector as a prime mover of the cogeneration system and assisted the boiler to generate vapor for the turbine. Hot water flows from the expander to the absorption chiller in summer or to the radiator or fan coil in winter. Finally, before the hot water wants to flow back to the storage tank, it flows inside a heat exchanger for generating domestic hot water [26].For designing of solar cogeneration system and its analysis, it is necessary to calculate the electrical, heating (heating load is the load required for the production of warm water and space heating), and cooling load required for the case study considered in a residential building with an area of 600 m2 in the warm region of Iran (Zahedan). In Table 1, the average of the required loads is shown for the different months of a year (average of electrical, heating, and cooling load calculated with CARRIER software).Table 1
The average amount of electric charges, heating load, and cooling load used in the different months of the year in the city of Zahedan for a residential building with 600 m2.
MonthElectrical load (kW)Heating load (kW)Cooling load (kW)April735116May782838June891356July92899August967118September78996October701651November582835December523611January54530February60620March675913According to Table1, the maximum magnitude of heating, cooling, and electrical loads is used to calculate the cogeneration system. The maximum electric load is 96 kW, the maximum amount of heating load is 62 kW, and the maximum cooling load is 118 kW. Since the calculated loads are average, all loads increased up to 10% for the confidence coefficient. With the obtained values, the solar collector area and other cogeneration system components are calculated. The cogeneration cycle is capable of producing 105 kW electric power, 140 kW cooling capacity, and 100 kW heating power.


### 2.1. System Analysis Equations

An analysis is done by considering the following assumptions:(1)
The system operates under steady-state conditions(2)
The system is designed for the warm region of Iran (Zahedan) with average solar radiation Ib = 820 w/m2(3)
The pressure drops in heat exchangers, separators, storage tanks, and pipes are ignored(4)
The pressure drop is negligible in all processes and no expectable chemical reactions occurred in the processes(5)
Potential, kinetic, and chemical exergy are not considered due to their insignificance(6)
Pumps have been discontinued due to insignificance throughout the process(7)
All components are assumed adiabaticSchematic shape of the cogeneration cycle is shown in Figure1 and all data are given in Table 2.Figure 1
Schematic shape of the cogeneration cycle.Table 2
Temperature and humidity of different points of system.
StateTemperature summer (c°)Temperature winter (c°)Humidity (%)Enthalpy-summer (kj/kg)Enthalpy-winter (kj/kg)Entropy-summer (kj/kg)Entropy-winter (kj/kg)11101100.1946.7946.72.582.58292920.239139132.632.6338585—367.9367.91.171.17490900.045265261.621.6258585—367.9367.91.171.1768585—367.9367.91.171.17788.845—372188.41.180.64882.183.3—343.7348.61.101.119—10—42420.150.1510—78—326.5326.51.051.05Based on the first law of thermodynamic, energy analysis is based on the following steps.First of all, the estimated solar radiation energy on collector has been calculated:(1)Q˙s=A×Ib×α,where α is the heat transfer enhancement coefficient based on porous materials added to the collector’s pipes. The coefficient α is increased by the porosity percentage, the type of porous material (in this case, copper with a porosity percentage of 95), and the flow of fluid to the collector equation.Collector efficiency is going to be calculated by the following equation [9]:(2)ηc=0.7−0.41T1+T6/2−TaIb.Total energy received by the collector is given by [9](3)Q˙c=AIbηc.Also, the auxiliary boiler heat load is [2](4)Q˙b=h1−h6m˙st−AIbηc×α.Energy consumed from vapor to expander is calculated by [2](5)Q˙exp=m˙stηexph1−h2′1−x2s+h2″x2s.The power output form by the screw expander [9]:(6)w˙exp=ηexpQ˙exp.The efficiency of the expander is 80% in this case [11].In this step, cooling and heating loads were calculated and then, the required heating load to reach sanitary hot water will be calculated as follows:First step: calculating the cooling load with the following equation [9]:(7)Q˙cool=−5.45358+0.17373T7.Second step: calculating heating loads [9]:(8)Q˙Heat=ηHET2−T8m˙heatCp.W.Then, calculating the required loud for sanitary hot water will be [9](9)Q˙hotwater=ηHET4−T10m˙hotwaterCpW.According to the above-mentioned equations, efficiency is [9](10)ηe=W˙E+Q˙coolQ˙S+Q˙G,summer,W˙E+Q˙heat+Q˙hotwaterQ˙S+Q˙G,winter.In the third step, calculated exergy analysis as follows.First, the received exergy collector from the sun is calculated [9]:(11)E˙xs=1−43TaTs1−0.28lnfQ˙S,f=1.3×10−5.In the previous equation,f is the constant of air dilution.The received exergy from the collector is [9](12)E˙xc=h1−h6m˙St−Ta+273.15S1−S6m˙St.In the case of using natural gas in an auxiliary heater, the gas exergy is calculated from the following equation [12]:(13)E˙xG=0.95Q˙g.Delivering exergy from vapor to expander is calculated with the following equation [9]:(14)E˙xexp=h1−h2m˙St−Ta+273.15S1−S2m˙St.In the fourth step, the exergy in cooling and heating is calculated by the following equation:Cooling exergy in summer is calculated [9]:(15)E˙xcool=Q˙coolTa+273.15Tcool+273.15−1.Heating exergy in winter is calculated [9]:(16)E˙xheat=Q˙heat1−Ta+273.15Theat+273.15.In the last step based on thermodynamic second law, exergy efficiency has been calculated from the following equation and the above-mentioned calculated loads [9]:(17)ηex=W˙E+Ex⋅coolEx⋅S+Ex⋅G,summer,W˙E+Ex⋅heat+Ex⋅hotwaterEx⋅S+Ex⋅G,winter.


## 2.1. System Analysis Equations

An analysis is done by considering the following assumptions:(1)
The system operates under steady-state conditions(2)
The system is designed for the warm region of Iran (Zahedan) with average solar radiation Ib = 820 w/m2(3)
The pressure drops in heat exchangers, separators, storage tanks, and pipes are ignored(4)
The pressure drop is negligible in all processes and no expectable chemical reactions occurred in the processes(5)
Potential, kinetic, and chemical exergy are not considered due to their insignificance(6)
Pumps have been discontinued due to insignificance throughout the process(7)
All components are assumed adiabaticSchematic shape of the cogeneration cycle is shown in Figure1 and all data are given in Table 2.Figure 1
Schematic shape of the cogeneration cycle.Table 2
Temperature and humidity of different points of system.
StateTemperature summer (c°)Temperature winter (c°)Humidity (%)Enthalpy-summer (kj/kg)Enthalpy-winter (kj/kg)Entropy-summer (kj/kg)Entropy-winter (kj/kg)11101100.1946.7946.72.582.58292920.239139132.632.6338585—367.9367.91.171.17490900.045265261.621.6258585—367.9367.91.171.1768585—367.9367.91.171.17788.845—372188.41.180.64882.183.3—343.7348.61.101.119—10—42420.150.1510—78—326.5326.51.051.05Based on the first law of thermodynamic, energy analysis is based on the following steps.First of all, the estimated solar radiation energy on collector has been calculated:(1)Q˙s=A×Ib×α,where α is the heat transfer enhancement coefficient based on porous materials added to the collector’s pipes. The coefficient α is increased by the porosity percentage, the type of porous material (in this case, copper with a porosity percentage of 95), and the flow of fluid to the collector equation.Collector efficiency is going to be calculated by the following equation [9]:(2)ηc=0.7−0.41T1+T6/2−TaIb.Total energy received by the collector is given by [9](3)Q˙c=AIbηc.Also, the auxiliary boiler heat load is [2](4)Q˙b=h1−h6m˙st−AIbηc×α.Energy consumed from vapor to expander is calculated by [2](5)Q˙exp=m˙stηexph1−h2′1−x2s+h2″x2s.The power output form by the screw expander [9]:(6)w˙exp=ηexpQ˙exp.The efficiency of the expander is 80% in this case [11].In this step, cooling and heating loads were calculated and then, the required heating load to reach sanitary hot water will be calculated as follows:First step: calculating the cooling load with the following equation [9]:(7)Q˙cool=−5.45358+0.17373T7.Second step: calculating heating loads [9]:(8)Q˙Heat=ηHET2−T8m˙heatCp.W.Then, calculating the required loud for sanitary hot water will be [9](9)Q˙hotwater=ηHET4−T10m˙hotwaterCpW.According to the above-mentioned equations, efficiency is [9](10)ηe=W˙E+Q˙coolQ˙S+Q˙G,summer,W˙E+Q˙heat+Q˙hotwaterQ˙S+Q˙G,winter.In the third step, calculated exergy analysis as follows.First, the received exergy collector from the sun is calculated [9]:(11)E˙xs=1−43TaTs1−0.28lnfQ˙S,f=1.3×10−5.In the previous equation,f is the constant of air dilution.The received exergy from the collector is [9](12)E˙xc=h1−h6m˙St−Ta+273.15S1−S6m˙St.In the case of using natural gas in an auxiliary heater, the gas exergy is calculated from the following equation [12]:(13)E˙xG=0.95Q˙g.Delivering exergy from vapor to expander is calculated with the following equation [9]:(14)E˙xexp=h1−h2m˙St−Ta+273.15S1−S2m˙St.In the fourth step, the exergy in cooling and heating is calculated by the following equation:Cooling exergy in summer is calculated [9]:(15)E˙xcool=Q˙coolTa+273.15Tcool+273.15−1.Heating exergy in winter is calculated [9]:(16)E˙xheat=Q˙heat1−Ta+273.15Theat+273.15.In the last step based on thermodynamic second law, exergy efficiency has been calculated from the following equation and the above-mentioned calculated loads [9]:(17)ηex=W˙E+Ex⋅coolEx⋅S+Ex⋅G,summer,W˙E+Ex⋅heat+Ex⋅hotwaterEx⋅S+Ex⋅G,winter.


## 3. Porous Media

The porous medium that filled the test section is copper foam with a porosity of 95%. The foams are determined in Figure2 and also detailed thermophysical parameters and dimensions are shown in Table 3.Figure 2
Copper foam with a porosity of 95%.Table 3
Thermophysical parameters and dimensions of copper foam.
MaterialCopperPorosity0.95Permeability,K (m2)1.37×10–11Diameter of porous media,dp (mm)31Thermal conductivity (W/(m.k))398In solar collectors, copper porous materials are suitable for use at low temperatures and have an easier and faster manufacturing process than ceramic porous materials. Due to the high coefficient conductivity of copper, the use of copper metallic foam to increase heat transfer is certainly more efficient in solar collectors.Porous media and nanofluid in solar collector’s pipes were simulated in FLOW-3D software using the finite-difference method [27]. Nanoparticles Al2O3 and CUO are mostly used in solar collector enhancement. In this research, different concentrations of nanofluid are added to the parabolic solar collectors with porous materials (copper foam with porosity of 95%) to achieve maximum heat transfer in the porous materials before sedimentation. After analyzing PTC pipes with the nanofluid flow in FLOW-3D software, for energy and exergy efficiency analysis, Carrier software results were used as EES software input. Simulation PTC with porous media inside collector pipe and nanofluids sedimentation is shown in Figure 3.Figure 3
Simulation PTC pipes enhanced with copper foam and nanoparticles in FLOW-3D software.


### 3.1. Nano Fluid

In this research, copper and silver nanofluids (Al2O3, CuO) have been added with percentages of 0.1%–0.7% as the working fluids. The nanoparticle properties are given in Table 4. Also, system constant parameters are presented in Table 4, which are available as default input in the EES software.Table 4
Properties of the nanoparticles [9].
Particleρ (kg/m3)k (W/mk)cp (kj/kgk)Density (kg/m3)Al2O33970400.7653950CuO6320770.5326310System constant parameters for input in the software are shown in Table5.Table 5
System constant parameters.
ParametersValuesAverage ambient temperature (Tam)26°CSolar beam irradiation (Ib)0.82 kw/m2Temperature difference in recuperator (ΔTrc)22°CElectromechanical efficiency of the generator (ηmg)95%Turbine isentropic efficiency (ηis)80%Heat exchanger efficiency (ηhe)90%Cover emittance (εc)0.92Average wind speed (Vwind)1.5 m/sRoom temperature in summer (Trs)20°CRoom temperature in winter (Trw)24°CSun temperature (Tsun)5770 KThe thermal properties of the nanofluid can be obtained from equations (18)–(21). The basic fluid properties are indicated by the index (bf) and the properties of the nanoparticle silver with the index (np).The density of the mixture is shown in the following equation [28]:(18)ρnf=ρbf⋅1−φ+ρnp⋅φ,where ρ is density and ϕ is the nanoparticles volume fraction.The specific heat capacity is calculated from the following equation [29]:(19)cp.nf=ρbf⋅1−ϕρbf⋅cp.bf+ρnp⋅ϕρnf⋅cp.np.The thermal conductivity of the nanofluid is calculated from the following equation [29]:(20)knf=kbf⋅knp+2⋅kbf+2⋅knp−kbf⋅1+β3⋅ϕknp+2⋅kbf−knp−kbf⋅1+β3⋅ϕ.The parameterβ is the ratio of the nanolayer thickness to the original particle radius and, usually, this parameter is taken equal to 0.1 for the calculated thermal conductivity of the nanofluids.The mixture viscosity is calculated as follows [30]:(21)μnf=μbf⋅1+2.5⋅ϕ+6.5⋅ϕ2.In all equations, instead of water properties, working fluids with nanofluid are used. All of the above equations and parameters are entered in the EES software for calculating the energy and exergy of solar collectors and the SCCHP cycle. All calculation repeats for both nanofluids with different concentrations of nanofluid in the solar collector’s pipe.


## 3.1. Nano Fluid

In this research, copper and silver nanofluids (Al2O3, CuO) have been added with percentages of 0.1%–0.7% as the working fluids. The nanoparticle properties are given in Table 4. Also, system constant parameters are presented in Table 4, which are available as default input in the EES software.Table 4
Properties of the nanoparticles [9].
Particleρ (kg/m3)k (W/mk)cp (kj/kgk)Density (kg/m3)Al2O33970400.7653950CuO6320770.5326310System constant parameters for input in the software are shown in Table5.Table 5
System constant parameters.
ParametersValuesAverage ambient temperature (Tam)26°CSolar beam irradiation (Ib)0.82 kw/m2Temperature difference in recuperator (ΔTrc)22°CElectromechanical efficiency of the generator (ηmg)95%Turbine isentropic efficiency (ηis)80%Heat exchanger efficiency (ηhe)90%Cover emittance (εc)0.92Average wind speed (Vwind)1.5 m/sRoom temperature in summer (Trs)20°CRoom temperature in winter (Trw)24°CSun temperature (Tsun)5770 KThe thermal properties of the nanofluid can be obtained from equations (18)–(21). The basic fluid properties are indicated by the index (bf) and the properties of the nanoparticle silver with the index (np).The density of the mixture is shown in the following equation [28]:(18)ρnf=ρbf⋅1−φ+ρnp⋅φ,where ρ is density and ϕ is the nanoparticles volume fraction.The specific heat capacity is calculated from the following equation [29]:(19)cp.nf=ρbf⋅1−ϕρbf⋅cp.bf+ρnp⋅ϕρnf⋅cp.np.The thermal conductivity of the nanofluid is calculated from the following equation [29]:(20)knf=kbf⋅knp+2⋅kbf+2⋅knp−kbf⋅1+β3⋅ϕknp+2⋅kbf−knp−kbf⋅1+β3⋅ϕ.The parameterβ is the ratio of the nanolayer thickness to the original particle radius and, usually, this parameter is taken equal to 0.1 for the calculated thermal conductivity of the nanofluids.The mixture viscosity is calculated as follows [30]:(21)μnf=μbf⋅1+2.5⋅ϕ+6.5⋅ϕ2.In all equations, instead of water properties, working fluids with nanofluid are used. All of the above equations and parameters are entered in the EES software for calculating the energy and exergy of solar collectors and the SCCHP cycle. All calculation repeats for both nanofluids with different concentrations of nanofluid in the solar collector’s pipe.


## 4. Results and Discussion

In the present study, relations were written according to Wang et al. [16] and the system analysis was performed to ensure the correctness of the code. The energy and exergy charts are plotted based on the main values of the paper and are shown in Figures 4 and 5. The error rate in this simulation is 1.07%.Figure 4
Verification charts of energy analysis results.Figure 5
Verification charts of exergy analysis results.We may also investigate the application of machine learning paradigms [31–41] and various hybrid, advanced optimization approaches that are enhanced in terms of exploration and intensification [42–55], and intelligent model studies [56–61] as well, for example, methods such as particle swarm optimizer (PSO) [60, 62], differential search (DS) [63], ant colony optimizer (ACO) [61, 64, 65], Harris hawks optimizer (HHO) [66], grey wolf optimizer (GWO) [53, 67], differential evolution (DE) [68, 69], and other fusion and boosted systems [41, 46, 48, 50, 54, 55, 70, 71].At the first step, the collector is modified with porous copper foam material. 14 cases have been considered for the analysis of the SCCHP system (Table6). It should be noted that the adding of porous media causes an additional pressure drop inside the collector [9, 22–26, 30, 72]. All fourteen cases use copper foam with a porosity of 95 percent. To simulate the effect of porous materials and nanofluids, the first solar PTC pipes have been simulated in the FLOW-3D software and then porous media (copper foam with porosity of 95%) and fluid flow with nanoparticles (AL2O3 and CUO) are generated in the software. After analyzing PTC pipes in FLOW-3D software, for analyzing energy and exergy efficiency, software outputs were used as EES software input for optimization ratio of sedimentation and calculating energy and exergy analyses.Table 6
Collectors with different percentages of nanofluids and porous media.
1Simple parabolic solar collectors2Parabolic solar collectors with fully filled porous media3Parabolic solar collectors with fully filled porous media and 0.1 percent CuO4Parabolic solar collectors with fully filled porous media and 0.1 percent Al2O35Parabolic solar collectors with fully filled porous media and 0.2 percent CuO6Parabolic solar collectors with fully filled porous media and 0.2 percent Al2O37Parabolic solar collectors with fully filled porous media and 0.3 percent CuO8Parabolic solar collectors with fully filled porous media and 0.3 percent Al2O39Parabolic solar collectors with fully filled porous media and 0.4 percent CuO10Parabolic solar collectors with fully filled porous media and 0.4 percent Al2O311Parabolic solar collectors with fully filled porous media and 0.5 percent CuO12Parabolic solar collectors with fully filled porous media and 0.5 percent Al2O313Parabolic solar collectors with fully filled porous media and 0.6 percent CuO14Parabolic solar collectors with fully filled porous media and 0.56 percent Al2O3In this research, an enhanced solar collector with both porous media and Nanofluid is investigated. In the present study, 0.1–0.5% CuO and Al2O3 concentration were added to the collector fully filled by porous media to achieve maximum energy and exergy efficiencies of solar CCHP systems. All steps of the investigation are shown in Table 6.Energy and exergy analyses of parabolic solar collectors and SCCHP systems are shown in Figures6 and 7.Figure 6
Energy and exergy efficiencies of the PTC with porous media and nanofluid.Figure 7
Energy and exergy efficiency of the SCCHP.Results show that the highest energy and exergy efficiencies are 74.19% and 32.6%, respectively, that is achieved in Step 12 (parabolic collectors with filled porous media and 0.5% Al2O3). In the second step, the maximum energy efficiency of SCCHP systems with fourteen steps of simulation are shown in Figure 7.In the second step, where 0.1, −0.6% of the nanofluids were added, it is found that 0.5% leads to the highest energy and exergy efficiency enhancement in solar collectors and SCCHP systems. Using concentrations more than 0.5% leads to sediment in the solar collector’s pipe and a decrease of porosity in the pipe [73]. According to Figure 7, maximum energy and exergy efficiencies of SCCHP are achieved in Step 12. In this step energy efficiency is 54.49% and exergy efficiency is 18.29%. In steps 13 and 14, with increasing concentration of CUO and Al2O3 nanofluid solution in porous materials, decreasing of energy and exergy efficiency of PTC and SCCHP system at the same time happened. This decrease in efficiency is due to the formation of sediment in the porous material. Calculations and simulations have shown that porous materials more than 0.5% nanofluids inside the collector pipe cause sediment and disturb the porosity of porous materials and pressure drop and reduce the coefficient of performance of the cogeneration system. Most experience showed that CUO and AL2O3 nanofluids with less than 0.6% percent solution are used in the investigation on the solar collectors at low temperatures and discharges [74]. One of the important points of this research is that the best ratio of nanofluids in the solar collector with a low temperature is 0.5% (AL2O3 and CUO); with this replacement, the cost of solar collectors and SCCHP cycle is reduced.


## 5. Conclusion and Future Directions

In the present study, ways for increasing the efficiency of solar collectors in order to enhance the efficiency of the SCCHP cycle are examined. The research is aimed at adding both porous materials and nanofluids for estimating the best ratio of nanofluid for enhanced solar collector and protecting sedimentation in porous media. By adding porous materials (copper foam with porosity of 95%) and 0.5% nanofluids together, high efficiency in solar parabolic collectors can be achieved. The novelty in this research is the addition of both nanofluids and porous materials and calculating the best ratio for preventing sedimentation and pressure drop in solar collector’s pipe. In this study, it was observed that, by adding 0.5% of AL2O3 nanofluid in working fluids, the energy efficiency of PTC rises to 74.19% and exergy efficiency is grown up to 32.6%. In SCCHP cycle, energy efficiency is 54.49% and exergy efficiency is 18.29%.In this research, parabolic solar collectors fully filled by porous media (copper foam with a porosity of 95) are investigated. In the next step, parabolic solar collectors in the SCCHP cycle were simultaneously filled by porous media and different percentages of Al2O3 and CuO nanofluid. At this step, values of 0.1% to 0.6% of each nanofluid were added to the working fluid, and the efficiency of the energy and exergy of the collectors and the SCCHP cycle were determined. In this case, nanofluid and the porous media were used together in the solar collector and maximum efficiency achieved. 0.5% of both nanofluids were used to achieve the biggest efficiency enhancement.In the present study, as expected, the highest efficiency is for the parabolic solar collector fully filled by porous material (copper foam with a porosity of 95%) and 0.5% Al2O3. Results of the present study are as follows:(1)
The average enhancement of collectors’ efficiency using porous media and nanofluids is 28%.(2)
Solutions with 0.1 to 0.5% of nanofluids (CuO and Al2O3) are used to prevent collectors from sediment occurrence in porous media.(3)
Collector of solar cogeneration cycles that is enhanced by both porous media and nanofluid has higher efficiency, and the stability of output temperature is more as well.(4)
By using 0.6% of the nanofluids in the enhanced parabolic solar collectors with copper porous materials, sedimentation occurs and makes a high-pressure drop in the solar collector’s pipe which causes decrease in energy efficiency.(5)
Average enhancement of SCCHP cycle efficiency is enhanced by both porous media and nanofluid 13%.



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*Source: 9984840-2021-04-16.xml*