Energy Engineering

DOI: 10.32604/ee.2022.021190

ARTICLE

Performance Analysis of a Rooftop Hybrid Connected Solar PV System

Hasan Falih, Ahmed J. Hamed and Abdul Hadi N. Khalifa*

Engineering Technical College, Middle Technical University, Baghdad, 10074, Iraq
*Corresponding Author: Abdul Hadi N. Khalifa. Email: ahaddi58@yahoo.com
Received: 31 December 2021; Accepted: 19 March 2022

Nomenclature

1  Introduction

Renewable energy offers environment-friendly energy. In 2016 and 2017, about 305 GW of new renewable power was added to global energy production [1]. A stand-alone, on-grid, and hybrid connection solar energy system is a promising technology in developing countries. These typical solar PV systems consist of solar PV modules, DC/AC inverters, and batteries. Hybrid systems also contain energy storage devices (ESS), such as batteries or fuel cells, and operate parallel with the grid power system. Schallenberg-Rodriguez [2] introduced a methodology to analyze a roof PV solar system in the Canary Islands. The results showed that the PV system produced energy higher than the demand energy at low prices. In addition, cost resource curves and the comparison of the daily and monthly profiles have been studied. Attari et al. [3] presented and evaluated a 5-kW rooftop PV system in Tangier, Morocco, during the extended period from January to December 2015. A total of 20 panels each of 250 Wp were used to build the PV system. The parameters under study were the energy output, module efficiency, module temperature, and the system’s performance ratio. Ibrahim et al. [4] investigated the hybrid PV-wind system modeling. The grid-connected hybrid system was proposed to power a large plant of a variable load. The MATLAB Simulink software was used to model the proposed system. The effect of environmental conditions on the dynamic performance PV-wind system was studied. de Lima et al. [5] studied the performance of a grid-connected 2.2 kWp PV system in Brazil. The performance of the PV system during the extended period from June 2013 to May 2014 was introduced. Li [6] established the performance of an 8-kW grid-connected PV system. Different module technologies were examined as well as the system performance under summer and winter conditions were introduced. The system efficiency, array, final array, and reference yields were studied as well as the losses for the monthly average capture and the system losses were analyzed. Mathew et al. [7] studied and compared the performance of a 250 MW on-grid PV system. The different PV technologies, namely crystalline silicon and thin-film technologies, were studied. PVsytst software was used to simulate the performance of the system. The energy yields from each PV technology type and the lifetime was analyzed. Bhuvaneswari et al. [8] assessed the performance of a 15 kW rooftop off-grid-connected PV system. The system was monitored three days a week over one year. The system capacity utilization and the filling factor were studied. In the southern region of Iraq, Ali et al. [9] used the geographic information system software to simulate a 10-kW grid-connected PV system and studied the effect of using such a system on CO2 production. Nurdiana et al. [10] studied an on-grid PV system whose capacity was 10 kW. A total of 40 PV modules of 265 Wp were used to build the system. The system was monitored for eight months, from July 2019 to February 2020. The capacity factor, average daily energy output, energy efficiency, and average daily energy output were studied. Table 1 summarizes the previous work mentioned in the introduction.

Previous works focused on the comparative performance of two main types of solar PV systems: on-grid and off-grid solar systems; the hybrid connected PV solar systems did not study extensively in the previous work. This system contains an energy storage system (ESS) to cover the load during nighttime and the shortage of power supply by the grid. In the current work, a 5 kWp hybrid PV solar system integrated with an ESS was installed in Diyala, Iraq, and studied in May 2021. The PV installation parameters under study include output energy, final yield, array efficiency, performance ratio (Rp), array, and system losses.

2  Description of the Current PV Solar System

The present PV solar system of an installed capacity of 5 kW is installed on the roof of a house in Diyala, Iraq (33.77° N, 45.14° E elevation 44 m), as shown in Fig. 1. The system started operating in November 2019 and consists of 18 polycrystalline solar panels, each of 355 Wp, the short circuit current is 9.67 A, and the open-circuit voltage is 47.3 V. The net area of the system installation was 30.6 m2. The specification of the PV panel is shown in Table 2. The PV system consists of two parallel strings where each string consists of nine modules in series, the specification of the solar array is shown in Table 3. The tilt angle of the strings is 35° towards the south. The ESS consists of two strings used to store the power produced by the solar system. The string consists of four tubular deep cycle batteries in series, each of 12 V and 150 Ah. The two strings are connected in parallel to produce a DC voltage of 48 V. Table 4 shows the specification of the battery. An infinity pure sine wave hybrid inverter of the rated power of 5 kW is used. The inverter can stimulatingly manage power to/from solar, battery, load, and generator, providing multiple inverter parallel operation functions with on- and off-grids; Table 5 shows the inverter specifications.

Figure 1: Installation of the PV system

3  Methodology

The hourly global solar radiation on a 35° tilted surface and the ambient temperature for Diyala are generated using Meteonorm V7.3 software, as shown in Fig. 2. According to the IEC Standard 61724 [11], the parameters of the PV system shown in Table 6 and Fig. 3 should be measured to perform the analysis of any PV system.

Figure 2: Weather data for Diyala, in May, Iraq (33.77° N, 45.14° E elevation 44 m)

Figure 3: Parameters that should be the measured [11]

The energy quantity for the corresponding measurements of the variable mentioned above during the corresponding time (τ) is [6]:

Ei,τ=ττ.∑τ⁡Pi(1)

where

Ei,τ: The energy produced at the corresponding time (τ) (kWh);

Pi: The power generated/consumed (kW); and

ττ: The actual reporting interval of time.

The mean daily global solar radiation (Hi,d) in (kWh/m2.d) is calculated from the recorded radiation as follows [12]:

Hi,d=24.ττ.∑τ⁡GI1000.∑τ⁡τAM(2)

The net energy supplied and delivered to the storage system in each period (τ) are:

ETSN,τ=ETS,τ−EFS,τ(3)

EFSN,τ=EFS,τ−ETS,τ(4)

where in a given period (τ):

GI: The global irradiance on the plane of the array (W/m2)

ETSN,τ: The net energy supplied to the storage system (kWh)

ETS,τ: The energy supplied to the storage system (kWh)

EFS,τ: The energy delivered from the storage system (kWh)

EFSN,τ: The net delivered from the storage system (kWh)

While for the utility grid, the energy delivered and supplied from the utility is:

ETUN,τ=ETU,τ−EFU,τ(5)

EFUN,τ=EFU,τ−ETU,τ(6)

where in a given period (τ):

ETUN,τ: The net energy delivered from the utility grid (kWh);

ETU,τ: The energy delivered to the utility grid (kWh);

EFU,τ: The energy supplied by the utility grid (kWh); and

EFUN,τ: The net energy supplied to the utility grid (kWh).

The total energy input and output by the PV system is [13]:

Ein,τ=EA,τ+EFUN,τ+EFSN,τ(7)

Euse,τ=EL,τ+ETUN,τ+ETSN,τ(8)

where over a given period (τ):

Ein,τ: The total energy input by the PV system (kWh);

EA,τ: The net energy from the PV array (kWh);

EL,τ: The net energy to the load (kWh); and

Euse,τ: The total energy output by the PV system (kWh).

The fraction of the energy from all sources of the solar PV is the ratio between the net energy from the PV array and: the total energy input by the PV system.

FA,τ=EA,τEin,τ(9)

where

FA,τ: The fraction of the energy from all sources.

The load efficiency is the ratio between the total energy output by the PV system and the total energy input by the PV system [14]:

ηLoad=Euse,τEin,τ(10)

where

ηLoad: The efficiency transmitted to the load.

This array yield is the number of hours per day that the solar array is operated at its rated power and can be calculated by dividing the net energy from the PV array by the array rated power:

Yf=YA.ηLoad(11)

where

YA: Array yield (kWh/day.kW);

Prated: PV rated power (kW).

The final yield is the ratio of the PV system daily energy output to the installed PV array power:

Yf=YA.ηLoad(12)

where

Yf: The final PV yield (kWh/day.kW).

The reference yield is the ratio of the total daily in-plane radiation to the Panel reference radiation [15]:

Yr=ττ.∑day⁡GI.GI,ref(13)

where

GI,ref: The reference solar radiation (W/m2).

The performance ratio is the ratio of the final to the reference yields:

RP=YfYr(14)

The mean array efficiency is:

ηA,mean=EA,τAa.ττ.∑τ⁡GI(15)

The overall PV system efficiency over a period (τ) is [16]:

ηtot,τ=ηA,mean.ηload(16)

where

RP: The performance ratio;

ηA,mean: The mean array efficiency;

Aa: The array area (m2).

4  Result and Discussion

The understudy’s average daily profile load is shown in Fig. 4; the types, power, and number of the electrical appliances used by occupants are shown in Table 7. Fig. 5 shows the daily energy production by the PV system and the daily solar energy during May. The daily energy production ranges from 19 to about 33 kWh. The figure shows a significant difference between solar energy and the PV system’s energy production due to the low efficiency of the PV array shown in Fig. 6. The performance ratio (RP) indicates the PV system’s overall losses caused by increased array temperature, inefficient utilization of solar energy, and system components failure or inefficient use. Thus, the PR is the Percentage of net energy delivered by the system after subtracting the losses in energy produced by the PV array, and the PR for the PV system ranges from 0.4 to 0.7, as shown in Fig. 6. The load efficiency of 0.9 shown in Fig. 6 is the ratio of the energy used to the summation of energy from all sources.

Figure 4: The house load profile

Figure 5: Daily AC energy production and solar energy in May

Figure 6: Variation of daily performance ratio, module, and load efficiencies along the month in May

Fig. 7 shows three tools that indicate the deviation of the system’s performance from the ideal performance, namely, reference, array, and the final yields. The reference yield (Yr) is in the form of 6 h/day, thus the solar radiation at 6 h/day is at reference irradiance levels. Afterward, these hours are reduced to about 4.5 as indicated by the array yield (Ya); hence the final yield (Yf) reduces to about three hours per day. The low-efficiency PV modules cause a high energy loss compared with the inverter’s, as shown in Fig. 8. The system loss is due to converting the current from DC to AC and the electric resistance of the wiring system.

Fig. 9 compares the energy supplied to the grid when the system produces excess energy demand and the energy purchased at night and at the beginning and end of the day. The energy purchased is more than that supplied to the grid because ESS is small to cover the shortage of energy-producing at nighttime.

Figure 7: Reference, array, and final yields of the PV system

Figure 8: PV and the system energy losses

Figure 9: The grid feed-in and the energy purchasing

Fig. 10 shows the charging, discharging energy, and the state of charge (SOC) of the ESS, and the high charging energy follows the high energy discharge by the ESS. The figure indicated a significant difference in discharge energy daily due to the utility grid’s shortage and irregular energy supply. The SOC is always up to 90%; the low SOC at the beginning and mid-month is due to clouds.

Figure 10: The charging and discharging of the storage system

Figs. 11–14 summarise the average daily analysis of the abovementioned variables for May 2021. Fig. 11 shows that the total DC energy produced was 830 kWh. Given the system losses, the AC energy produced reduces to 823 kWh. The AC energy produced is distributed to feed the grid, charging the energy storage system, and the rest is used to share the load. Fig. 12 shows the percentage of energy sharing the load and the percentage of the DC production component. It can be seen from the figure that three sources cover the consumed energy by the load of 1085 kWh; namely, the net produced energy, discharging energy from ESS, and purchased energy, representing about 33%, 16.6%, and 50%. While the system DC-produced energy is divided into 1% system losses, 34% supply the grid, 27% charge the ESS, and the rest of 37.6% is used to share the load. Fig. 13 shows that the average daily reference yield is about 6 h/day, the array yield is about 4 h/day, and the average daily final yield is about 3 h/day. Fig. 14 shows that the lowest average daily efficiency is for the PV array, while the RP is about 65.4% and the average load efficiency is about 92%. Table 8 shows the performance indicators of the PV system in May.

Figure 11: Distribution of the average daily energy produced by the PV system and consumed by the load

Figure 12: Percentage of energy sharing the load and the percentage of the DC production component

Figure 13: Average daily reference, array, and final yields

Figure 14: Performance ratio, the array, load efficiencies, and SOC

The monthly average daily final yield (Yf) and the performance ratio (PR) for May for the current work were compared with three selection sites, namely Iraq (4.68 kWp), Brazil (2.2 kWp), and Algeria (9.5 kWp), as shown in Table 9. The table shows that the present value of Yf is close to the theoretical value calculated for Iraq, higher than reported in Algeria and less than reported in Algeria. In contrast, the current RP is less than those reported in Iraq, Brazil, and Algeria.

5  Conclusion

The following conclusions are drawn from the results of the 5-kW rated PV solar system installed in Diyala, Iraq (33.77° N, 45.14° E elevation 44 m). The monthly energy production for May was about 822.9 kWh, while the monthly energy consumption was 1085 kWh. The percentage distribution of the DC energy produced was about 1% system energy losses, 27.9% used to charge the ESS, 34.3% used to feed to the grid, and the rest of 37.64% was used to share the load. The load’s energy percentage was 16.67% from ESS, 33.33% from the PV system, and 50% purchased. The average daily reference, array, and final yields were 6.07, 4.327, and 3.991, respectively. The average array and load efficiencies were 12.3% and 92.24%, respectively, where the performance ratio was 65.4%.

Funding Statement: The authors received no specific funding for this study.

Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.

References

 1.  Bento, P., Nunes, H., Pombo, J., Calado, M., Mariano, S. (2019). Daily operation optimization of a hybrid energy system considering a short-term electricity price forecast scheme. Energies, 12(5), 924. DOI 10.3390/en12050924. [Google Scholar] [CrossRef]

 2.  Schallenberg-Rodriguez, J. (2014). Photovoltaic techno-economical potential on roofs in the canary islands. Journal of Sustainable Development of Energy Water and Environment Systems, 2(1), 68–87. DOI 10.13044/J.SDEWES.2014.02.0007. [Google Scholar] [CrossRef]

 3.  Attari, K., Elyaakoubi, A., Asselman, A. (2016). Performance analysis and investigation of a grid-connected photovoltaic installation in Morocco. Energy Reports, 2, 261–266. DOI 10.1016/j.egyr.2016.10.004. [Google Scholar] [CrossRef]

 4.  Noureldeen, O., Ibrahim, A. (2018). Performance analysis of grid connected PV/Wind hybrid power system during variations of environmental conditions and load. International Journal of Renewable Energy Research, 8(1), 208--220. DOI 10.20508/ijrer.v8i1.6702.g7347. [Google Scholar] [CrossRef]

 5.  de Lima, L. C., de Araújo Ferreira, L., de Lima Morais, F. H. B. (2017). Performance analysis of a grid connected photovoltaic system in northeastern Brazil. Energy for Sustainable Development, 37, 79–85. DOI 10.1016/j.esd.2017.01.004. [Google Scholar] [CrossRef]

 6.  Li, C. (2018). Comparative performance analysis of grid-connected PV power systems with different PV technologies in the hot summer and cold winter zone. International Journal of Photoenergy, 2018. DOI 10.1155/2018/8307563. [Google Scholar] [CrossRef]

 7.  Mathew. M., Hossain, J. (2018). Analysis of a grid connected solar photovoltaic system with different PV technologies. 2017 IEEE International Conference on Circuits and Systems, (ICCS), vol. 2018, pp. 264–269. Thiruvananthapuram, India. DOI 10.1109/ICCS1.2017.8326002. [Google Scholar] [CrossRef]

 8.  Bhuvaneswari, C., Vijay, B., Natarajan, P. (2018). Estimation and performance analysis of a 15 kW off-grid solar PV system. International Journal of Engineering & Technology, 7(2), 25, 143. DOI 10.14419/ijet.v7i2.25.20495. [Google Scholar] [CrossRef]

 9.  Ali, K., Hameed. D., Qadir, S. (2020). 10 kW grid-connected PV system cost and environmental analysis for government offices: Darbandikhan technical institute as a case study. UKH Journal of Science and Engineering, 4(2), 157–165. DOI 10.25079/ukhjse.v4n2y2020. [Google Scholar] [CrossRef]

10. Nurdiana, E., Subiyanto, I., Indarto, A., Wibisono, G., Hudaya, C. (2020). Performance analysis and evaluation of a 10.6 kWp grid-connected photovoltaic system in Serpong. IOP Conference Series: Materials Science and Engineering, 909(1), 012019. DOI 10.1088/1757-899X/909/1/012019. [Google Scholar] [CrossRef]

11. International Electrotechnical Commission (1998). Photovoltaic system performance monitoring—Guidelines for measurement, data exchange, and analysis. IEC 61724. https://standards.globalspec.com/std/29890/IEC%2061724. [Google Scholar]

12. John, A. D., William, A. B., (2013). Solar engineering of thermal processes, Fourth Edition. John Wiley and Sons. Hoboken, New Jersey, USA. [Google Scholar]

13. Wittkopf, S., Valliappan, S., Liu, L., Ang, K. S., Cheng, S. C. J. (2012). Analytical performance monitoring of a 142.5 kWp grid-connected rooftop BIPV system in Singapore. Renewable Energy, 47, 9–20. DOI 10.1016/j.renene.2012.03.034. [Google Scholar] [CrossRef]

14. Allouhi, A., Saadani, R., Kousksou, T., Saidur, R., Jamil, A. et al. (2016). Grid-connected PV systems installed on institutional buildings: Technology comparison, energy analysis and economic performance. Energy Build, 130, 188–201. DOI 10.1016/j.enbuild.2016.08.054. [Google Scholar] [CrossRef]

15. Ayompe, L. M., Duffy, A., McCormack, S. J., Conlon, M. (2011). Measured performance of a 1.72 kW rooftop grid connected photovoltaic system in Ireland. Energy Conversion and Management, 52(2), 816–825. DOI 10.1016/j.enconman.2010.08.007. [Google Scholar] [CrossRef]

16. Maammeur, H., Hamidat, A., Loukarfi, L., Missoum, M., Abdeladim, K. et al. (2017). Performance investigation of grid-connected PV systems for family farms: Case study of North-West of Algeria. Renewable and Sustainable Energy Reviews, 78, 1208–1220. DOI 10.1016/j.rser.2017.05.004. [Google Scholar] [CrossRef]

17. Mohammad, A. T., Al-Sagar, Z. S., Hussain, A. N., Abbas Al-Tamimi, M. K. (2021). Performance analysis of 4.68 kWh proposed grid-connected PV system in Iraq. 2021 International Congress of Advanced Technology and Engineering (ICOTEN), Taiz, Yemen. DOI 10.1109/ICOTEN52080.2021.9493563. [Google Scholar] [CrossRef]

18. Bouacha, S., Malek, A., Benkraouda, O., Arab, A. H., Razagui, A. et al. (2020). Performance analysis of the first photovoltaic grid-connected system in Algeria. Energy for Sustainable Development, 57, 1–11. DOI 10.1016/j.esd.2020.04.002. [Google Scholar] [CrossRef]

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