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Assessing the potential of PV hybrid systems to cover HVAC loads in a grid-connected residential building through intelligent control

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  • Solano, J.C.
  • Olivieri, L.
  • Caamaño-Martín, E.

Abstract

This paper presents theoretical and experimental work that is being carried out in a grid-connected residential building demonstrator available at the Instituto de Energía Solar (IES) of the Universidad Politécnica de Madrid (UPM) in Madrid, Spain. The house is provided with a building-integrated photovoltaic (PV) system coupled to a battery energy storage system (BESS), and a heating, ventilation, and air-conditioning system (HVAC) based on two air-to-air direct expansion reversible heat pumps. Thermal loads, HVAC consumption, and PV generation are simulated using different dynamic models, and they are validated with actual data derived from monitoring the experimental campaign. A model of intelligent control of BESS is proposed, which aims to supply the selected application (HVAC load) with two control strategies: increasing PV self-consumption and grid-peak shaving. This model has been validated with experimental data (error<10%). Furthermore, the study includes aging and degradation effects on the batteries to make allowance for realistic lifetime assessment. The results of the case study show that in a building without a BESS, the self-consumption rate is about 30%; however, with the implementation of the proposed control, it could achieve approximately 50%, depending on the BESS capacity and the PV generator nominal power. Likewise, by using a combination of both strategies, it is possible to reduce both contracted power and energy consumption (77% and 49% respectively for case study).

Suggested Citation

  • Solano, J.C. & Olivieri, L. & Caamaño-Martín, E., 2017. "Assessing the potential of PV hybrid systems to cover HVAC loads in a grid-connected residential building through intelligent control," Applied Energy, Elsevier, vol. 206(C), pages 249-266.
    • Handle: RePEc:eee:appene:v:206:y:2017:i:c:p:249-266
    DOI: 10.1016/j.apenergy.2017.08.188
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    as
    1. Perez-Lombard, Luis & Ortiz, Jose & Maestre, Ismael R., 2011. "The map of energy flow in HVAC systems," Applied Energy, Elsevier, vol. 88(12), pages 5020-5031.
    2. Hosenuzzaman, M. & Rahim, N.A. & Selvaraj, J. & Hasanuzzaman, M. & Malek, A.B.M.A. & Nahar, A., 2015. "Global prospects, progress, policies, and environmental impact of solar photovoltaic power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 284-297.
    3. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    4. Hartmann, N. & Glueck, C. & Schmidt, F.P., 2011. "Solar cooling for small office buildings: Comparison of solar thermal and photovoltaic options for two different European climates," Renewable Energy, Elsevier, vol. 36(5), pages 1329-1338.
    5. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    6. Kanase-Patil, A.B. & Saini, R.P. & Sharma, M.P., 2010. "Integrated renewable energy systems for off grid rural electrification of remote area," Renewable Energy, Elsevier, vol. 35(6), pages 1342-1349.
    7. Salom, Jaume & Marszal, Anna Joanna & Widén, Joakim & Candanedo, José & Lindberg, Karen Byskov, 2014. "Analysis of load match and grid interaction indicators in net zero energy buildings with simulated and monitored data," Applied Energy, Elsevier, vol. 136(C), pages 119-131.
    8. Hoppmann, Joern & Volland, Jonas & Schmidt, Tobias S. & Hoffmann, Volker H., 2014. "The economic viability of battery storage for residential solar photovoltaic systems – A review and a simulation model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1101-1118.
    9. Poullikkas, Andreas, 2013. "A comparative overview of large-scale battery systems for electricity storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 778-788.
    10. Moshövel, Janina & Kairies, Kai-Philipp & Magnor, Dirk & Leuthold, Matthias & Bost, Mark & Gährs, Swantje & Szczechowicz, Eva & Cramer, Moritz & Sauer, Dirk Uwe, 2015. "Analysis of the maximal possible grid relief from PV-peak-power impacts by using storage systems for increased self-consumption," Applied Energy, Elsevier, vol. 137(C), pages 567-575.
    11. Mulder, Grietus & Six, Daan & Claessens, Bert & Broes, Thijs & Omar, Noshin & Mierlo, Joeri Van, 2013. "The dimensioning of PV-battery systems depending on the incentive and selling price conditions," Applied Energy, Elsevier, vol. 111(C), pages 1126-1135.
    12. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    13. de Oliveira e Silva, Guilherme & Hendrick, Patrick, 2016. "Lead–acid batteries coupled with photovoltaics for increased electricity self-sufficiency in households," Applied Energy, Elsevier, vol. 178(C), pages 856-867.
    14. Lang, Tillmann & Gloerfeld, Erik & Girod, Bastien, 2015. "Don׳t just follow the sun – A global assessment of economic performance for residential building photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 932-951.
    15. Salpakari, Jyri & Lund, Peter, 2016. "Optimal and rule-based control strategies for energy flexibility in buildings with PV," Applied Energy, Elsevier, vol. 161(C), pages 425-436.
    16. Cao, Sunliang & Sirén, Kai, 2014. "Impact of simulation time-resolution on the matching of PV production and household electric demand," Applied Energy, Elsevier, vol. 128(C), pages 192-208.
    17. Masa-Bote, D. & Castillo-Cagigal, M. & Matallanas, E. & Caamaño-Martín, E. & Gutiérrez, A. & Monasterio-Huelín, F. & Jiménez-Leube, J., 2014. "Improving photovoltaics grid integration through short time forecasting and self-consumption," Applied Energy, Elsevier, vol. 125(C), pages 103-113.
    18. Linssen, Jochen & Stenzel, Peter & Fleer, Johannes, 2017. "Techno-economic analysis of photovoltaic battery systems and the influence of different consumer load profiles," Applied Energy, Elsevier, vol. 185(P2), pages 2019-2025.
    19. Masa-Bote, Daniel & Caamaño-Martín, Estefanía, 2014. "Methodology for estimating building integrated photovoltaics electricity production under shadowing conditions and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 492-500.
    20. Quoilin, Sylvain & Kavvadias, Konstantinos & Mercier, Arnaud & Pappone, Irene & Zucker, Andreas, 2016. "Quantifying self-consumption linked to solar home battery systems: Statistical analysis and economic assessment," Applied Energy, Elsevier, vol. 182(C), pages 58-67.
    21. Dufo-López, Rodolfo & Lujano-Rojas, Juan M. & Bernal-Agustín, José L., 2014. "Comparison of different lead–acid battery lifetime prediction models for use in simulation of stand-alone photovoltaic systems," Applied Energy, Elsevier, vol. 115(C), pages 242-253.
    22. Turner, W.J.N. & Walker, I.S. & Roux, J., 2015. "Peak load reductions: Electric load shifting with mechanical pre-cooling of residential buildings with low thermal mass," Energy, Elsevier, vol. 82(C), pages 1057-1067.
    23. Wright, Andrew & Firth, Steven, 2007. "The nature of domestic electricity-loads and effects of time averaging on statistics and on-site generation calculations," Applied Energy, Elsevier, vol. 84(4), pages 389-403, April.
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    12. Laura Canale & Anna Rita Di Fazio & Mario Russo & Andrea Frattolillo & Marco Dell’Isola, 2021. "An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings," Energies, MDPI, vol. 14(4), pages 1-33, February.
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    14. Ren, Haoshan & Sun, Yongjun & Albdoor, Ahmed K. & Tyagi, V.V. & Pandey, A.K. & Ma, Zhenjun, 2021. "Improving energy flexibility of a net-zero energy house using a solar-assisted air conditioning system with thermal energy storage and demand-side management," Applied Energy, Elsevier, vol. 285(C).
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