Introduction

Clean water is continuously required for human uses, including drinking, farming, and industry. However clean water supplies are scarce in many nations, particularly in Asia and Africa. Many strategic papers warned that if the water scarcity problem remains unsolved, water wars may break out. To solve that issue, numerous researchers have attempted to improve the performance of solar stills.

Investigating the performance of the solar still in conjunction with a solar collector is one of the key concepts used by researchers. To improve the system's efficiency and water output, solar collectors served as preheaters in many research papers such as. Rajaseenivasan et al. [1] compared solar stills with and without a flat plate collector. They found that the water flow increased by 60% when they used the flat plate collector. Feilizadeh et al.'s study [2] looked at how different collector-to-basin area ratios affected the performance of multi-stage solar stills. Sharshir et al. [3] used evacuated tubes, an external condenser, nanoparticles, and ultrasonic foggers to increase the efficiency of solar stills. They discovered that adding just 1 mass percent of carbon black nanoparticles might increase the thermal efficiency of the particles by 28.2%. When Sheeba et al. [4] linked solar to a flat plate collector, the daily efficiency increased by 20.4%. Manokar et al. [5] investigated the efficacy of an active inclined solar panel basin solar still. Al-Molhem and Eltawil [6] studied the solar still in conjunction with a solar collector employing floatable black wicks in the sun still. Abdullah et al. [7] tested a solar still equipped with sands kinds and found its effect on freshwater productivity. Shaikh, and Ismail [8] studied theoretically a humidification–dehumidification water desalination system integrated with a flat plate solar water collector. Bafakeeh et al. [9] examined several nano-powders of MWCNTs and Al2O3 inside PCMs to enhance the thermal energy output of solar water desalination applications.

Menon [10] studied how water depth, still direction, and sun radiation affected the efficiency of a solar still linked to a flat plate solar collector. The findings revealed a 12% boost in efficiency. Narayana and Raju [11] described the effects of connecting one, two, or three flat plate collectors to a solar still. They discovered that one, two, and three flat plate collectors produced 2.669, 3.581, and 4.229 kg of distilled water, respectively. Abdullah et al. [12] studied the use of graphene quantum dots nanofluid in the production of solar stills. Efficiency was 87%, according to the results. Maatki [13] discovered that the influence of nanofluid concentration on heat transfer enhancement is affected by the operating circumstances of the solar still. Soliman et al. [14] investigated the performance of a solar still with an integrated heat exchanger in conjunction with an evacuated tube solar collector and a flat plate, both experimentally and conceptually. The results showed that utilizing an evacuated tube solar collector as a preheater for solar still is preferable to using a flat plate. Baharin et al. [15] showed that using a flat plate collector as a preheater raises the productivity of solar still, and it may be doubled. Parsa et al. [16] did an experimental investigation to determine the ideal level of nanoparticles (silver, 1–5%) in solar absorbers in the warmer months of the year with or without mirrors. The performance of the systems was carefully analyzed to determine the optimum concentration from a variety of angles, including energetic, exergetic, financial, productivity, exergoeconomic, efficiency, and environmental considerations for each season and during its existence. Balamurugan et al. [17] used a solar still in conjunction with an evacuated tube solar collector to investigate water production at various brine depths. To increase the efficiency of solar desalination, Shoeibi et al. [18] employed porous media, nano-enhanced phase transition materials, and nano-enhanced absorption (nano-coated). Abu-Arabi et al. [19] discovered that solar still paired with a solar collector and phase change material lowered water production as the phase change material to water mass ratio increased from 10 to 100%. Rai and Tiwari [20] investigated the performance of a solar still using a flat plate collector in the short term. They discovered a 24% improvement in production. Morad et al. [21] investigated active and passive solar stills on a double slope. The active sun still productivity was 10.06 L m−2 day−1, and passive solar still production was 7.8 L m−2 day−1, respectively. The efficiency of active and passive solar stills was 80.6% and 57.1%, respectively.

Nanofluids are novel fluids that contain nanoparticles added to base fluid. Nanoparticles are used in a variety of applications due to their exceptional thermal properties. One of these applications is solar water distillation, as are the others listed below. Jathar and Ganesan [22] investigated the performance of a stepped solar still using MgO, Al2O3, and TiO2 nanoparticles. Their volume concentrations were 0.1 and 0.2%, respectively. The water productivity with MgO, Al2O3, and TiO2 nanoparticles increased by 51.28, 39.24, and 25.37%, respectively. Sharshir et al. [23] created a pyramid solar still that is connected to evacuated tubes and added CuO nanoparticles. Freshwater output increased by 26.6%, according to the findings. Saleh et al. [24] conducted an experimental investigation to determine the influence of ZnO nanoparticles on solar still production.

According to Elango et al. [25], the solar still with Aluminum Oxide (Al2O3)-water nanofluid boosted productivity by 29.95% when compared to Zinc Oxide (ZnO)-water nanofluid. Kabeel et al. [26] showed that employing nanofluids increased solar still water production by around 116% in the case of a still fitted with an external condenser. El-Gazar et al. [27] investigated an alumina-copper oxide hybrid nanoparticle (Al2O3-CuO). Each nanoparticle had a nanofluid concentration of 0.025%. According to the findings, utilizing hybrid nanofluid boosts solar still daily production to 5.5239 kg m−2 day in summer and 3.1079 kg m−2 day−1 in winter. The still improved by 27.2% and was 21.7% better than the solar still without nanoparticles. Kandeal et al. [28] used CuO nanoparticles in solar still to boost the thermal conductivity of water and PCM while affecting their specific heat just a little. The usage of SiO2/water nanofluids as the running fluid in the heat exchanger boosted the solar still performance by around 10%, according to Mahian et al. [29]. Subhedar et al. [30] examined the influence of water and Al2O3/Water nanofluid at volume concentrations of 0.05% and 0.1% as working fluids in a standard single slope solar still plant with a parabolic trough collector. According to El-Ghetany et al. [31], utilizing TiO2 nanoparticles at a concentration of 100 mg/l increases daily distilled water production by 26.9%. Akilu et al. [32] showed that reinforcing a G/EG mixture with 80% SiO2 and 20% CuO/C increased thermal conductivity and viscosity by 26.9% and 1.15 times, respectively. Sadeghi and Nazari [33] tested the performance of a modified single slope solar still coupled to an evacuated tube collector with varied concentrations of antibacterial-magnetic Ag@Fe3O4/deionized water hybrid nanofluid. Visconti et al. [34] created a programmable electronic system for monitoring environmental parameters and controlling the electrical functions of a thermo-solar plant. The created control unit observes data from temperature and light sensors, processes the information, and orders other devices (pumps, electric valves, and power supplies) to improve plant efficiency. Gianpiero et al. [35] investigated the thermal performance of an innovative nanofluid solar thermal collector using commercial software (RadTherm ThermoAnalytics rel. 10.5). Al2O3-nanofluid was simulated as the solar thermal collector's working fluid, with nanoparticle concentrations ranging from 0%vol (pure water) to 3%vol of Al2O3 nanoparticles. The chemical stability, dynamic viscosity, FT-IR spectra, cluster size, and thermal conductivity of Al2O3-Therminol nanofluid as a working fluid in high-temperature solar energy systems were tested by Colangelo et al. [36]. Narendran et al. [37] stated the application of novel nanoplatelet-based vanadium pentoxide (V2O5)-xerogel for conjugate cooling in densely packed electronic devices. In Rayleigh–Benard (R-B) convection with air, water, and alumina-water nanofluid as working fluids, laminar natural convection, and entropy generation were incorporated by Karki et al. [38].

Although researchers made a great effort, many novel ideas can be applied to overcome pure water shortage. Based on our review and Xiong et al. [39], Rashidi et al. [40], Yang et al. [41], Al-Kayiem et al. [42], Jathar et al. [43], Tuly et al. [44], Bait et al. [45], Iqbal et al. [46], Naveenkumar et al. [47], and Akkala et al. [48], no data are available about using hybrid ZnO and WO3 with an active solar still system. The present work aims to use nanofluids, to enhance thermal conductivity to raise the efficiency of a solar collector. Hence, hotter water entered the solar still through the heat exchanger. Consequently, more distilled water is produced. Hybrid nanofluids with different percentages of ZnO and WO3 nanoparticles were prepared. Limited research work was done on hybrid nanofluids, and no work studied hybrid ZnO with WO3 nanoparticles although it is the new trend using nanofluid as reviewed by Tiwari et al. [49], Salman et al. [50], Hu et al. [51], and Sundar et al. [52]. ZnO nanoparticles were selected as it has higher thermal conductivity, while WO3 nanoparticles were used as it has good stability, as Sharafeldin et al. [53].

The present study aims to identify an appropriate preparation technique for producing a stable hybrid nanofluid. One of the original parts of our study is the estimation of the thermal conductivity of a hybrid ZnO + WO3/water nanofluid. Subsequently, it is imperative to evaluate the effectiveness of the solar collector using mono and hybrid (ZnO and WO3)/water nanofluids to validate the practicality of the research findings. The solar still productivity is a key focus of the current study. Therefore, productivity will be demonstrated to emphasize the significance of the ongoing effort, which encourages enterprises and governments to invest in the existing concept for increased production of clean water.

Hybrid nanofluid

Preparation methods

Nanofluid was prepared with a two-step method. In the first step, nanoparticles were created by MK (Impex, Canada) company as powder. Then, the powder of nanoparticles was synthesized with distilled water. Two different nanoparticles were chosen in the presented work, ZnO and WO3. The diameter of ZnO was 30 nm, while it was 90 nm for WO3. Nanoparticles were weighted using a balance that had a step of 1 mg. The amount of nanoparticles was chosen to achieve the needed volume concentration, which is shown in Table 1. After that, nanoparticle powder was mixed with two liters of water by an ultrasonic probe (Hielscher, UP200S), with a maximum output of 200 W. The duration of the mixing process was one hour. Ultrasonic waves were used to disrupt the aggregation of hybrid nanoparticles, facilitating their dispersion within the aqueous medium. The instances under investigation are shown in Table 1, with Case 1 representing the mono ZnO/water nanofluid and Case 6 representing the mono WO3/water nanofluid. Case 2,3,4,5 was the case of hybrid ZnO + WO3 nanoparticles with different volume concentrations. The main concept in the presented work is studying the same total volume fraction of 0.035% for all cases, and the difference between cases is the partial volume fraction for each nanoparticle. The summation of the volume fraction of ZnO nanoparticles with the corresponding concentration of WO3 for any case must be 0.035%. The volume fraction of 0.035% was chosen as it gave acceptable stability in all cases for mono and hybrid nanofluid.

Table 1 Hybrid nanoparticles volume fraction

Nanofluid stability

The main problem of the limited use of nanofluids is stability. Stable nanofluid keeps the thermal properties of nanofluid during operation. In the presented work, two methods are used to check the stability. The first test is done using a PALS Zeta potential analyzer (Ver. 3.37 from Brookhaven Instruments). According to Mahbubul et al. [54], if the mean value is less than − 30 mV or more than + 30 mV, the nanofluid is deemed stable. The mean zeta potential value for nanofluid is shown in Table 2, which shows that mono nanofluid stability (ZnO and WO3) has higher stability than the hybrid ZnO + WO3. The mean zeta potential value for ZnO 0.025% + WO3 0.01% is − 30.91mV, while for ZnO 0.01% + WO3 0.025% − 39.15mV. For ZnO 0.02% + WO3 0.015% and ZnO 0.015% + WO3 0.02%, values are − 34.97 mV and − 35.36 mV, respectively. These results indicated that the mono nanofluid of ZnO and WO3 is more stable than the hybrid nanofluid. However, making a hybrid nanofluid of ZnO and WO3 can be achieved for a concentration of 0.035%. Converging proportions of ZnO and WO3 have less stability compared with divergent proportions. Another checking method was done by eye check, where the mixture of nanoparticles and water was observed for 72 h. During that period, no free surface appeared, which means that the hybrid ZnO and WO3 are stable and applicable for the presented work where a pump is circulating the nanofluid. Figure 1 shows the nanofluids when they were freshly made and after 72 h of preparation.

Table 2 zeta potential for hybrid ZnO-WO3/ water nanofluid
Fig. 1
figure 1

Photos for the prepared nanofluids a freshly prepared b after 72 h

Thermal conductivity

The primary goal of incorporating nanoparticles into base fluids is to enhance thermal conductivity. Many studies have been conducted to demonstrate the thermal conductivity of nanofluids. Their research discovered that the value of nanofluids varies depending on their kind, concentration, and temperature. Based on this, one of the innovative aspects of our study is the determination of the thermal conductivity of a hybrid ZnO + WO3/water nanofluid. Measurements were taken using a thermal conductivity tester type SKZ1061C TPS. Its measuring range is 0.005—300 W m−1 K−1 with 5% accuracy. The testing time is about 5–160 s according to the manufacturer while in the presented study the reading is taken after 2 min while it reaches steady results. It measures temperatures from ambient to 130°C, which is appropriate for the present research. Its technique of operation is to heat a planar sensor by applying an electrical current under transitory situations. The sensor temperature changes with time are then established, and when the voltage and electrical resistance of the sensor change, thermal conductivity may be supplied.

Experimental test rig

The present work aims to investigate the performance of active solar still with a heat exchanger. Hence, the main components are the solar collector, pump, heat exchanger, and solar still. Figure 2a depicts the test rig's components while Fig. 2b shows the real photo of used components. The main components of the system are a solar collector, solar still, collecting bottle, heat exchanger, valve, pump, flow meter, and thermometer. Table 3 indicates the solar collector's necessary features. The solar still is double slope one. A heat exchanger is integrated into the bottom of the solar still. The system operates by circulating nanofluids in a closed loop via a pump. During the circulation, nanofluids enter the solar collector, where their temperature increases. In the solar still, only heat from nanofluids is transferred to the basin water. The proposed study investigates how heat from nanofluids contributes to increased productivity in solar stills. Pt-100 resistance, a flow meter, a weather station, and a flask are used for collecting data. Thermometers monitor the temperature of the fluid at its input and output. The flow meter is used to measure the flow rate of nanofluids.

Fig. 2
figure 2

a Shows the test rig components (1) solar collector (2) solar still (3) collecting bottle (4) heat exchanger (5) valve (6) pump (7) flow meter (8) thermometer. b photo for the tested system

Table 3 Features of the solar collector

Mathematical equations

The thermodynamics first law is used to accomplish performance analysis. Equation (1) calculates the beneficial heat gain.

$$Q_{{\text{u}}} = \dot{m}C_{{\text{p}}} \left( {T_{{\text{o}}} - T_{{\text{i}}} } \right) = \rho { }V^{.} C_{{\text{p}}} \left( {T_{{\text{o}}} - T_{{\text{i}}} } \right)$$
(1)

This equation is made by measuring the flow rates and temperatures. According to the standard, the beneficial heat gain is computed as the difference between solar energy absorbed and the lost heat energy as Eq. (2).

$$Q_{{\text{u}}} = A_{{\text{c}}} { }F_{{\text{R }}} \left[ {G_{{\text{T}}} \left( {\tau \alpha } \right) - U_{{\text{L}}} \left( {T_{{\text{i}}} - T_{{\text{a}}} } \right)} \right]$$
(2)

Then, the instantaneous efficiency, known as the Hottel-Whillier equation, is estimated based on Eq. (3).

$$\eta_{{\text{i}}} = \frac{{\rho V^{.} C_{{\text{p}}} \left( {T_{{\text{o}}} - T_{{\text{i}}} } \right)}}{{A_{{\text{c}}} { }G_{{\text{T}}} }} = \frac{{A_{{\text{c}}} { }F_{{\text{R }}} \left[ {G_{{\text{T}}} \left( {\tau \alpha } \right) - U_{{\text{L}}} \left( {T_{{\text{i}}} - T_{{\text{a}}} } \right)} \right]}}{{A_{{\text{c}}} { }G_{{\text{T}}} }} = F_{{\text{R }}} \left( {\tau \alpha } \right) - F_{{\text{R}}} U_{{\text{L}}} \left( {\frac{{T_{{\text{i}}} - T_{{\text{a}}} }}{{G_{{\text{T}}} }}} \right)$$
(3)

The heat removal factor is calculated using the following equation,

$$F_{{\text{R}}} = \frac{{\dot{m}C_{{\text{p}}} \left( {T_{{\text{o}}} - T_{{\text{i}}} } \right)}}{{A_{{\text{c}}} \left[ {G_{{\text{T}}} \left( {\tau \alpha { }} \right) - U_{{\text{L}}} \left( {T_{{\text{i}}} - T_{{\text{a}}} } \right)} \right]}}$$
(4)

An array of solar collectors was employed to heat the nanofluids. Thus, the solar radiation on the solar collectors and the electricity used by the pump should also be included when estimating the total efficiency of a solar still. Furthermore, Pump power is included in the entire solar still efficiency, which is expressed as [26].

$${\eta }_{\text{overall}}=\frac{\sum {\dot{m}}_{\text{ew}}*{h}_{\text{fg}}}{(\sum {G}_{\text{T}}*{A}_{\text{s}})+\sum {G}_{\text{T}}*{A}_{\text{s}})+\text{pump power}}$$
(5)

Water vapor latent heat, which is presumed, on average, in the temperature range, of 2325 kJ/(kg).

$${\text{The ratio of solar still overall efficiency enhancement}} = \frac{{\eta_{{{\text{overall}}\left( {{\text{nanofluid}}} \right)}} - \eta_{{{\text{overall}}\left( {{\text{water}}} \right)}} }}{{\eta_{{{\text{overall}}\left( {{\text{water}}} \right)}} }}{*}100\%$$
(6)

The density and specific heat of the hybrid nanofluid can be calculated as Eqs. (7) and (8)

$$\rho_{{{\text{nf}}}} = \rho_{{{\text{np}}1}} \left( {\varphi_{1} } \right) + \rho_{{{\text{np}}2}} \left( {\varphi_{2} } \right) + \rho_{{{\text{bf}}}} \left( {1 - \varphi_{1} - \varphi_{2} } \right)$$
(7)
$$(\rho {\text{C}}_{{\text{p }}} )_{{{\text{nf}}}} = \left( {\rho {\text{C}}_{{\text{p}}} } \right)_{{{\text{np}}1}} \left( {\varphi_{1} } \right) + \left( {\rho {\text{C}}_{{\text{p}}} } \right)_{{{\text{np}}2}} \left( {\varphi_{2} } \right) + (\rho {\text{C}}_{{{\text{bf}}}} )_{{{\text{bf}}}} \left( {1 - \varphi_{1} - \varphi_{2} } \right)$$
(8)

Results

5.1. Thermal conductivity

Using nanoparticles is primarily motivated by their excellent heat conductivity. When compared to water, ZnO and WO3 have higher heat conductivity. The % increase in thermal conductivity for nanofluid is shown in Figure 3. The ratio of the thermal conductivity enhancement is determined using equation (11) in the following manner:

Fig. 3
figure 3

The increasing percentage of thermal conductivity of nanofluid at different temperatures

$$\text{Enhacement in thermal codactuvity}=\frac{{k}_{\text{nf}}-{k}_{\text{bf}}}{{k}_{\text{bf}}}*100\%$$
(9)

The enhancement ratio for mono nanofluid ZnO with 0.035% volume fraction increases by 5.65% to 9.46%, 13.27%, 17.09%, 20.93%, and 24.8% for temperatures of 30, 35, 40, 45, 50, 55 \(^\circ{\rm C}\), respectively. Mono WO3 nanofluid with a concentration of 0.035% thermal conductivity reaches a rise of 5.18%, 6.59%, 8.05%, 9.57%, 11.15%, and 12.8% compared with water for temperatures of 30, 35, 40, 45, 50, 55 \(^\circ{\rm C}\), respectively. For hybrid nanofluid case 2 where ZnO and WO3 concentration are 0.025%, and 0.01%, respectively thermal conductivity excess by 5.62%, 8.88%, 12.06%, 15.27%, 18.5%, and 21.78% for temperatures of 30, 35, 40, 45, 50, 55 \(^\circ{\rm C}\) When ZnO concentration was decreased to 0.02% in case 3 the values dropped to 5.6%, 8.53%, 11%, 13.51%, 16.06%, and 18.67%. Although WO3 concentration increases to 0.02% in case 4, thermal conductivity only gets up by 5.34%, 7.79%, 10.27%, 12.79%, 15.35%, and 17.96% for temperatures of 30, 35, 40, 45, 50, 55 \(^\circ{\rm C}\), respectively. More increase in WO3 concentration to be 0.025% in case 5 facing more declining the enhancement ratio to be 5.25%, 7.29%, 9.38%, 11.52%, 13.7%, and 15.5% for temperatures of 30, 35, 40, 45, 50, 55 \(^\circ{\rm C}\), respectively.

These results of thermal conductivity enhancement revealed that the thermal conductivity of nanofluid is superior to water. More thermal conductivity is found if ZnO nanoparticles are used compared with WO3 nanoparticles at the same concentration. For hybrid nanofluid (ZnO and WO3), as the ratio of ZnO concentration in the hybrid nanofluid increases, the thermal conductivity increases. The maximum thermal conductivity was measured for case 2, where the concertation of ZnO and WO3 is 0.025% and 0.01%, respectively. Less value is found for case 3, where the concertation of ZnO and WO3 is 0.02% and 0.015%, respectively, but it is still above the value of case 4 with concertation of ZnO and WO3 is 0.015% and 0.02%, respectively. The lowest value of hybrid nanofluid detected in the presented work is for case 5, with the concentration of ZnO and WO3 being 0.01% and 0.025%, respectively. The reason for that is that ZnO nanoparticles have higher thermal conductivity compared with WO3. Free electrons for ZnO are more than WO3. Hence, these electrons help to work as a bridge to transfer more heat energy. The number of it can be increased with the increase of ZnO nanoparticles in the hybrid solution.

5.2. Collector thermal efficiency

One of the main results expressed in the presented study is the collector thermal efficiency of the collector. Collector thermal efficiency is computed instantaneously. Equation (3) is used to make the calculation. ASHRAE Standard 93–2003 is the typical on which the analysis was made based on. The standard expressed that collector thermal efficiency is the ratio between the thermal energy absorbed by the collector and the existing solar energy. Throughout work, collector thermal efficiency for different concentrations of water, mono, and hybrid (ZnO and WO3) were checked at different volume flow rates. Concentrations of ZnO and WO3 were expressed in Table 2. Volume flow rates examined in the presented work are 0.042, 0.052, and 0.062 m−3 h−1. The relation between collector thermal instantaneous efficiency and the reduced temperature parameter [(Ti–Ta)/GT] can be fitted in a linear curve. The maximum value of efficiency appeared when the fitted curve intersected with the Y-axis and is known as the thermal optical efficiency, which has the abbreviation of FR (τα). The slope of the fitted curve is known as the energy removal parameter and has an abbreviation of FRUL. Values of FR (τα) and FRUL for different nanofluid concentrations at different volume flow rates are shown in Table 4. The methodology of studying hybrid nanofluid in the current work is based on analyzing the same volume concentration of two different nanoparticles (ZnO and WO3) where, in any case, the total volume fraction is 0.035% and from one case to another, the percentage of each nanoparticle changes. Also, cases of mono nanoparticles of (ZnO and WO3) are studied for the same volume concentration of 0.035%. Water as the base fluid case was tested. Based on the presented cases, the results for mono and hybrid nanofluid are presented, and the effect of mixing ZnO and WO3 nanoparticles is shown. The comparison of results for different mixing percentages of ZnO and WO3 helps to identify the best working condition for each case. These results support reads to judge the suitable percentage of mixing of ZnO and WO3 according to the application where nanofluids are used.

Table 4 Values of FR (τα) and FR UL for different nanofluid and different volume flow rates.

Figure 4 shows the relation between collector thermal instantaneous efficiency and the reduced temperature parameter [(TiTa)/GT] for different concentrations of hybrid nanofluid of (ZnO and WO3) and water. Figure 4 is drawn for the volume flow rate of 0.042 m−3 h−1. Based on Fig. 4FR (τα) and FRUL values for water are 0.39 and − 3.82, respectively. For mono nanofluids ZnO values for FR (τα) and FRUL are 0.62, and 26.07 while WO3 values are 0.48 and 13.59, respectively. Hybrid nanofluids of ZnO and WO3 have values of 0.60 and 24.85, 0.58 and 23.27, 0.56 and 20.91, 0.53 and 17.55 for cases 2, 3, 4, and 5, respectively.

Fig. 4
figure 4

Collector thermal efficiency in the case of water and nanofluid for the volume flow rate of 0.042 m−3 h−1

Figure 5 expresses the collector thermal efficiency of the solar collector when the volume flow rate is 0.052 m−3 h−1. Results are shown for water and mono nanofluid of ZnO and WO3. Also, different concentrations of hybrid ZnO and WO3 are tested at 0.052 m−3 h−1. Thermal optical efficiency FR (τα) increased from 0.4 for water to 0.51 and 0.68 for mono nanofluid WO3 and ZnO, respectively. But the energy removal parameter FRUL went up from 4.85 to 34.26 and 17.77 for mono nanofluid WO3 and ZnO, respectively. Hybrid nanofluid results indicated that and FR (τα) values enhanced from 0.55 to 0.59, 0.63, and 0.65 for cases 5, 4, 3, and 2, respectively. In addition, values for FRUL change from 21.72, 26.2, 29.3, and 30.35 for cases 5, 4, 3, and 2, respectively.

Fig. 5
figure 5

Collector thermal efficiency in the case of water and nanofluid for the volume flow rate of 0.052 m−3 h−1

The maximum volume flow rate used in the presented work is 0.62 m−3 h−1, as shown in Fig. 6. Water, mono nanofluid, and hybrid nanofluid were examined at that volume flow rate. It was found that the thermal optical efficiency is 0.41 for water, 0.71 for ZnO, and 0.52 for water. Besides that, the energy removal parameter is 5.48 for water, 34.89 for ZnO, and 21.11 for WO3. Case 2 values for the thermal optical efficiency and the energy removal parameter are 0.683 and 34.04, respectively. While for case 3, the values are 0.66 and 32.32. Fewer values are found for case 4 to be 0.61 and 29.28. lower values are given to case 5 to be 0.57 and 26.33.

Fig. 6
figure 6

Collector thermal efficiency in the case of water and nanofluid for the volume flow rate of 0.062 m−3 h−1

The water, mono, and hybrid nanofluid collector thermal efficiency curves for the solar collector employed in the study presented are shown in Figs. 4, 5, and 6, as well as Table 4. The greatest efficiency of the collector occurs when the ambient temperature Ta and the fluid temperature Ti are identical, which is known as thermal optical efficiency FR (τα). The energy removal parameter FR UL, which relates to thermal energy loss, is represented by the slope of the fitted curve. The study given adheres to ASHRAE Standard 93–2003, which establishes that when the decreased temperature parameter [(Ti–Ta)/GT] increases, solar collector efficiency drops. It was discovered during our research that nanofluids had a better thermal optical efficiency FR (τα) than water. ZnO with a concentration of 0.035% has more thermal optical efficiency FR (τα) compared with WO3 with the same concentration. Hybrid nanofluids of ZnO and WO3 have a total concentration of 0.035% but have different percentages of particles. It was found that as the percentage of ZnO increases the thermal optical efficiency rises and vice versa. The energy removal parameter FR UL which refers to heat energy lost being higher for nanofluids compared with water. Less heat energy is lost in the case of WO3 compared with ZnO. For hybrid ZnO and WO3, as the percentage of ZnO decreases, the heat energy lost declines. The reason for that way is thermal conductivity. Thermal conductivity is explained in Fig. 3. As thermal conductivity increases both thermal optical efficiency FR (τα) and energy removal parameter FR UL increased. Based on that, more energy can be transmitted from the absorber plate of the collector to the moving fluid. Hence more useful heat energy is absorbed, and higher thermal efficiency is achieved.

5.3. Heat removal factor

Calculating the heat removal factor is another technique to study the influence of hybrid nanofluid on the performance of solar collectors. The heat removal factor is defined as the ratio of heat energy absorbed by the collector to the heat energy available. It is regarded as a real measure of the return on investment from the usage of hybrid nanofluids in solar energy. The usage of nanofluids is encouraged if the heat removal factor rises, and vice versa. Equation (4) may be used to compute the heat removal factor. Figure 7 depicts the heat removal factor for water and various nanofluid concentrations at the examined volume flow rate. Water had values of 0.44, 0.45, and 0.46 at volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively. The most significant values for FR were 0.7, 0.77, and 0.8 for ZnO mono nanofluid with a concentration of 0.035% at volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively. The minimum values for WO3 mono nanofluid with a concentration of 0.035% are 0.55, 0.57, and 0.59 for volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively.

Fig. 7
figure 7

Heat removal factor for different nanofluids for studied volume flow rates

Values for hybrid nanofluids increase from 0.55, 0.60, 0.64, 0.66, to 0.68 for the concentrations of ZnO 0.01% + WO3 0.025%, ZnO 0.015% + WO3 0.02%, ZnO 0.02% + WO3 0.015%, and ZnO 0.025% + WO3 0.01% for the volume flow rate of 0.042 m−3 h−1, respectively. A clear rise is found for the volume flow rate of 0.052 m−3 h−1. Values are 0.57, 0.62, 0.67, 0.71, and 0.73 for the concentrations of ZnO 0.01% + WO3 0.025%, ZnO 0.015% + WO3 0.02%, ZnO 0.02% + WO3 0.015%, and ZnO 0.025% + WO3 0.01%, respectively. Maximum values are 0.59, 0.64, 0.69, 0.75, and 0.77 for the concentrations of ZnO 0.01% + WO3 0.025%, ZnO 0.015% + WO3 0.02%, ZnO 0.02% + WO3 0.015%, and ZnO 0.025% + WO3 0.01% for the volume flow rate of 0.062 m−3 h−1, respectively. Results indicate that using nanofluids heightens the heat removal factor which implies more energy can be absorbed when nanofluids are used. The heat removal factor increases with the rise of the volume flow rate of fluids. Adding more ZnO to the hybrid ZnO + WO3 nanofluid enhances the heat removal factor. Thermal conductivity is the reason for the rise in heat removal factor.

5.4. Daily distilled water production

The primary goal of desalination research is to produce water. Through the heat exchanger, the heat energy captured by the solar collector is transferred to salty water in the solar still. That heat aids in raising the temperature of salty water and increasing its evaporation rate. Consequently, more distilled water is created. Figure 8 shows the daily quantity of distilled water generated for the various nanofluid containers utilized in the solar collector. For volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively, the highest quantity of water produced by ZnO mono nanofluid is 3.09, 3.11, and 3.14 kg day−1 m−2. The minimal values for water are 2.52, 2.68, and 2.75 kg day−1 m−2 for volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively. Higher values are obtained for WO3 mono nanofluids at volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively. For hybrid nanofluids, lower values of 2.88, 2.93, and 2.96 kg day−1 m−2 are achieved for ZnO 0.01% + WO3 0.025%, while maximum values for ZnO 0.025% + WO3 0.01% are 3.05, 3.07, and 3.08 kg day−1 m−2 for volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively. The results for ZnO 0.02% + WO3 0.015% rise from 2.99 to 3.02 and 3.04 at volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively. The results for ZnO 0.015% + WO3 0.02% are 2.89, 2.93, and 2.96 kg day−1 m−2 for volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively. According to the findings, utilizing nanofluid has a beneficial influence on daily distilled water output. Increasing the amount of ZnO nanoparticles in a hybrid nanofluid of ZnO + WO3 nanofluid improves the amount of distilled water produced. Also, the daily distilled water production increases with the rise of the volume flow rate. The reason for that is thermal conductivity as it rises with the increase in the ZnO ratio in a hybrid nanofluid. Consequently, more heat is absorbed by the collector. Hence, more energy is transferred to salty water, and a higher evaporation ratio is obtained.

Fig. 8
figure 8

Daily distilled water production for different nanofluids for studied volume flow rates

5.5. Solar still overall efficiency

Solar still overall efficiency is the ratio between energy contained in the distilled water produced to the sum of solar energy and pump power paid to produce that distilled water. That efficiency is the ratio between what is gained from solar still, which is distilled water, to what is needed to make that water, which is solar energy and pump power. Higher efficiency means more distilled water is produced with less energy consumed by solar energy and pump power. One of the seeks of the existing work is to increase solar still efficiency using nanofluids in the heat exchanger. Overall solar still efficiency is calculated based on Eq. (5) for both water and nanofluids. Figure 9 shows solar still efficiency for water, mono nanoparticles, and hybrid nanofluids. The ratio of enhancement in solar still is presented in Fig. 10. Results indicated that using ZnO nanofluids in the heat exchanger has higher efficiency of 39.4, 39.6, and 39.9 for the volume flow rates of 0.042, 0.052, 0.062 m−3 h−1, respectively. The minimum values are 32.2, 34.1, and 34.9 for the volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively, for water. Mono nanofluids of WO3 have lower values compared with hybrid ZnO + WO3 nanofluids with values of 35.3, 35.6, and 36.4 for the volume flow rates of 0.042, 0.052, and 0.062 m−3 h−1, respectively. For a volume flow rate of 0.042 m−3 h−1, values for hybrid nanofluids are 36.8, 37.6, 38.2, and 38.9 for ZnO 0.01% + WO3 0.025%, ZnO 0.015% + WO3 0.02%, ZnO 0.02% + WO3 0.015%, and ZnO 0.025% + WO3 0.01%, respectively. Higher efficiency values are found for a volume flow rate of 0.052 m−3 h−1 to be 37.3, 37.8, 38.4, and 39.1 for ZnO 0.01% + WO3 0.025%, ZnO 0.015% + WO3 0.02%, ZnO 0.02% + WO3 0.015%, and ZnO 0.025% + WO3 0.01%, respectively. The highest values for efficiency are for 0.062 m−3 h−1 to be 37.6, 37.9, 38.6, and 39.2 for ZnO 0.01% + WO3 0.025%, ZnO 0.015% + WO3 0.02%, ZnO 0.02% + WO3 0.015%, and ZnO 0.025% + WO3 0.01%, respectively.

Fig. 9
figure 9

Solar still overall efficiency included pump power consumption for different nanofluids in the heat exchanger for studied volume flow rates

Fig. 10
figure 10

Ratio of solar still overall efficiency enhancement for different studied volume flow rates

Figure 10 shows results for the ratio of enhancement in solar still with nanofluids moving in the heat exchanger. The maximum ratios are for the volume flow rates of 0.042 m−3 h−1 which are 22.3%, 20.6%, 18.6%, 15.52%, 14.2%, and 9.6% for ZnO 0.035%, ZnO 0.025% + WO3 0.01%, ZnO 0.02% + WO3 0.015%, ZnO 0.015% + WO3 0.02%, ZnO 0.01% + WO3 0.025%, and WO3 0.035% respectively. Less ratios are given for 0.052 m−3 h−1 to be 16.1%, 14.5%, 15.6%, 10.7%, 9.3%, and 4.4% for ZnO 0.035%, ZnO 0.025% + WO3 0.01%, ZnO 0.02% + WO3 0.015%, ZnO 0.015% + WO3 0.02%, ZnO 0.01% + WO3 0.025%, and WO3 0.035% respectively. Although 0.062 m−3 h−1 is the maximum value flow rate used, ratios of enhancement for it are the minimum values to be 14.4%, 12.3%, 10.7%, 8.5%, 7.7%, and 4.3% for ZnO 0.035%, ZnO 0.025% + WO3 0.01%, ZnO 0.02% + WO3 0.015%, ZnO 0.015% + WO3 0.02%, ZnO 0.01% + WO3 0.025%, and WO3 0.035% respectively.

Based on Figs. 9 and 10, using nanofluids as the moving fluid in the heat exchanger in the solar still increases its efficiency. Mono nanoparticles of ZnO with a volume concentration of 0.035% gave the maximum values between the studied cases. Lower efficiency values are obtained for WO3 with a volume concentration of 0.035%. For hybrid nanofluids, the efficiency of solar still became higher with adding more ZnO nanoparticles to the hybrid nanofluids. Solar still efficiency increases with higher volume flow rates of nanofluids. The reason for that is thermal conductivity, which increases with more ZnO nanoparticles added to nanofluids. Hence, more energy is transferred to saltwater. So more distilled water is brought. However, the ratio of efficiency enhancement of solar still efficiency decreases with the increase of volume flow rates. A lower flow rate means the fluid takes more time to move through the heat exchanger, which allows more heat energy to transfer to salty water. This reason makes more production of distilled water be generated. Hence, a higher ratio of efficiency was achieved.

Conclusions

The current study presents the uses of nanofluids to improve the efficiency of solar stills and collectors. There were six distinct nanofluids made. To create a mono nanofluid, ZnO and WO3 nanoparticles were combined with water separately. The ZnO and WO3 mixture was used in four different masses to create hybrid nanofluids. The volume concentration of each nanofluid was 0.035%. It was possible to make nanofluids stable. A heat exchanger was constructed to link a solar still to a solar collector. The solar still's productivity was boosted by nanofluids. When the collector is using a nanofluid and a higher volume flow rate, it can absorb more heat energy. The heat exchanger then transfers more heat energy, enabling the production of more distilled water. Several results were achieved throughout the current work. The following points pointed out the outcomes as follow:

  • The thermal conductivity of nanofluids increased between 5.18 and 24.8%.

  • ZnO nanoparticles gave the best results, while the lowest values were for WO3.

  • Hybrid ZnO + WO3 nanofluids indicated moderate values.

  • A higher volume flow rate increased the thermal optical efficiency of the collector.

  • The heat removal factor showed an increase to 0.8 for ZnO nanofluid, although it was just 0.46 for water at the volume flow rate of 0.62 m−3 h−1.

  • It was found that as the percentage of ZnO increased in hybrid nanofluid, the distilled water productivity increased.

  • A 3.14 kg of distilled water could be produced daily when ZnO/water nanofluid with a concentration of 0.035% was used.

  • Solar still overall efficiency, including pump consumption for mono ZnO, reached 39.9%, while for WO3, it was no more than 36.4%.

  • The presented work indicated that a ratio of solar still efficiency enhancement reaches 22.3% in the case of nanofluids compared with water.