Skip to main content

Advertisement

Log in

Design and optimization of grid-tied and off-grid solar PV systems for super-efficient electrical appliances

  • Original Article
  • Published:
Energy Efficiency Aims and scope Submit manuscript

Abstract

Modeling, simulation, and optimization methods are used in the present study to design grid-tied and off-grid solar PV systems for super-efficient electrical appliances for residential buildings. The principal objective of this study is to design a renewable energy system to serve the electric load of super-efficient appliances with high penetration of renewable resources and low greenhouse gas emissions and cost of energy. Hourly calculations using optimization method are used to study the daily and yearly performance and the cost of the renewable energy systems. A comparison between the performance of the grid-tied and off-grid solar PV systems using conventional and super-efficient appliances in Dubai is presented. The comparison includes the total power production from the solar PV system, the power purchased from the grid, the extra power sold to the utility grid, the power used to meet the electrical load of the appliances, the excess power, the renewable fraction, the greenhouse gas emissions, and the levelized cost of energy. The results of the simulation show that the integration of super-efficient appliances powered with the grid-tied solar power system is a good option to control the energy consumption of the residential buildings and to reduce the cost of electricity and greenhouse gas emissions: low building energy consumption (reduction by half of the electrical power consumption: from 62.91 to 30.78 kWh/day using super-efficient appliances); all the electrical power demand for the building is met without shortage; the power systems produce low excess power (0.29–1.82%) compared to the off-grid power system; all the extra power from the solar PV is sold back to the grid to reduce the cost of energy, high renewable fraction (68% of the total energy served to the load is produced from solar PV), low-cost of electricity (12% reduction of the cost of energy compared to the utility grid), and low greenhouse gas emissions (45–51% reductions of the CO2, NOX, and SO2 emissions compared to the conventional electrical appliances).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  • Abdessalem, T., & Labidi, E. (2016). Economic analysis of the energy-efficient household appliances and the rebound effect. Energy Efficiency, 9(3), 605–620.

    Article  Google Scholar 

  • Abhyankar N., Shah N., Letschert V., and Phadke A. (2017) Assessing the cost-effective energy saving potential from top-10 appliances in India. 9th International Conference on Energy Efficiency in Domestic Appliances and Lighting (EEDAL), University of California, Irvine, September 13-15.

  • Alberini, A., & Filippini, M. (2018). Transient and persistent energy efficiency in the US residential sector: evidence from household-level data. Energy Efficiency, 11(3), 589–601.

    Article  Google Scholar 

  • Alkhateeb E., Abu Hijleh B., Rengasamy E. and Muhammed S. Proceedings of SBE16 Dubai, 17–19 January, 2016, Dubai-UAE.

  • Amasyali, K., & El-Gohary, M. N. (2018). A review of data-driven building energy consumption prediction studies, renewable and sustainable energy reviews, volume 81. Part, 1, 1192–1205.

    Google Scholar 

  • Amber, K. P., Aslam, M. W., Mahmood, A., Kousar, A., Younis, M. Y., Akbar, B., Chaudhary, G. Q., & Hussain, S. K. (2017). Energy consumption forecasting for university sector buildings. Energies, 10, 1579. https://doi.org/10.3390/en10101579.

    Article  Google Scholar 

  • Bordbari, M. J., Seifi, A. R., & Rastega, M. (2018). Probabilistic energy consumption analysis in buildings using point estimate method. Energy, 142, 716–722.

    Article  Google Scholar 

  • Cetin, K. S., Tabares-Velasco, P. C., & Novoselac, A. (December, 2014). Appliance daily energy use in new residential buildings: use profiles and variation in time-of-use. Energy and Buildings, 84, 716–726.

    Article  Google Scholar 

  • Cox, S., Hotchkiss E., Bilello D., Watson A., Holm A., and Leisch J. (2017). “Bridging climate change resilience and mitigation in the electricity sector through renewable energy and energy efficiency: emerging climate change and development topics for energy sector transformation.” Technical report. Golden, CO: National Renewable Energy Laboratory (NREL). https://www.nrel.gov/docs/fy18osti/67040.pdf. Accessed Nov 2017.

  • Energy Access Outlook 2017, (2017). From poverty to prosperity, World Energy Outlook special report, 1st edition. Organization for Economic Cooperation and Development, International Energy Agency, IEA.

  • Ghenai, C., & Janajreh, I. (2013). Comparison of resource intensities and operational parameters of renewable, fossil fuel, and nuclear power systems. International Journal of Thermal and Environmental Engineering, 5(2), 95–104.

    Google Scholar 

  • Ghenai, C., & Janajreh, I. (2016). Design of solar-biomass hybrid microgrid system in Sharjah. Energy Procedia, 103, 357–362.

    Article  Google Scholar 

  • Ghenai, C., Salameh, T., and Merabet, A. (2018a). Technico-economic analysis of off grid solar PV/fuel cell energy system for residential community in desert region. International Journal of Hydrogen Energy. https://doi.org/10.1016/j.ijhydene.2018.05.110.

  • Ghenai, C., Merabet, A., Salameh, T., & Pigem, E. C. (2018b). Grid-tied and stand-alone hybrid solar power system for desalination plant. Desalination Journal, 435, 172–180.

    Article  Google Scholar 

  • Government of Dubai, Dubai Electricity and Water Authority, (2017). Annual Statistics, https://www.dewa.gov.ae/en/about-dewa/about-us/dewa-publications/annual-statistics. Accessed 5 Feb 2018.

  • Karatasou, S., Laskaria, M., & Santamouris, M. (2018). Determinants of high electricity use and high energy consumption for space and water heating in European social housing: Socio-demographic and building characteristics. Energy and Buildings, 170, 107–114.

    Article  Google Scholar 

  • Per-Ola Karlsson, Christopher Decker, and Jad Moussalli, J. (2015) Energy efficiency in the UAE: aiming for sustainability, Strategy & Formerly Booz & Company, Technical Report, https://www.strategyand.pwc.com/reports/energy-efficiency-in-uae. Accessed 4 June 2015.

  • Narayan, N., Qin, Z., Popovic-Gerber, J., Diehl, J.-C., Bauer, P., & Zeman, M. (2018). Stochastic load profile construction for the multi-tier framework for household electricity access using off-grid DC appliances. Energy Efficiency, 1–19.

  • Perez-Lombard, L., Ortiz, J., & Pout, C. (2008). A review on building energy consumption information. Energy and Buildings, 40, 394–398.

    Article  Google Scholar 

  • Phadke, A. A., Jacobson, A., Park, W. Y., Lee, G. R., Alstone, P., and Khare, A. (2015). Powering a home with just 25 watts of solar PV: super-efficient appliances can enable expanded off-grid energy service using small solar power systems. Lawrence Berkeley National Laboratory Report Number: LBNL-175726.

  • Richard, J. L., & Just, R. E. (2018). Modeling household energy consumption and adoption of energy efficient technology. Energy Economics, 72, 404–415.

    Article  Google Scholar 

  • Singh, V. K., Henriques, O. K., & Martins, A. G. (2018a). Fostering investment on energy efficient appliances in India—a multi-perspective economic input-output lifecycle assessment. Energy, 149, 1022–1035.

    Article  Google Scholar 

  • Singh, V. K., Henriques C. O., Martins A. G. (2018b). Assessment of energy-efficient appliances: a review of the technologies and policies in India's residential sector. WIREs Energy and Environment. https://doi.org/10.1002/wene.330.

  • Singh, J., Mantha, S. S., & Phalle, V. M. (November 2018c). Analysis of technical and economic electricity saving potential in the urban Indian households. Sustainable Cities and Society, 43, 432–442.

    Article  Google Scholar 

  • Vieira, N. D. B., Nogueira, L. A. H., & Haddad, J. (2018). An assessment of CO2 emissions avoided by energy-efficiency programs: a general methodology and a case study in Brazil. Energy, 142, 702–715.

    Article  Google Scholar 

Download references

Acknowledgments

The authors gratefully acknowledge the financial support from the University of Sharjah, Sustainable Energy Development Research Group Operational Grant, Grant Ref. V.C.R.G./R. 1329/2017.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chaouki Ghenai.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ghenai, C., Bettayeb, M. Design and optimization of grid-tied and off-grid solar PV systems for super-efficient electrical appliances. Energy Efficiency 13, 291–305 (2020). https://doi.org/10.1007/s12053-019-09773-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12053-019-09773-3

Keywords

Navigation