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Energy assessment method towards low-carbon energy schools

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  • Lizana, Jesus
  • Serrano-Jimenez, Antonio
  • Ortiz, Carlos
  • Becerra, Jose A.
  • Chacartegui, Ricardo

Abstract

Within the building sector, schools have a major social responsibility because of their educational purpose. With the aim of providing a novel energy modelling process to evaluate the real energy performance of school buildings and potential energy savings, minimizing input data collection, this paper presents a new energy assessment method to support the decision-making process towards low-carbon energy schools. The novelty of this method is based on the integration of a coherent set of assumptions and procedures with respect to boundary conditions of schools, derived from their modular basis, common building configuration and space uses, and the model's iterative calibration procedure, based on real building performance, which achieves a high final accuracy. With a reduced set of inputs, hourly dynamic simulations can be performed. The method, integrated in the SchoolEnergy-ACT tool, was tested in two pilot schools. The results show that the method properly fits to schools' energy consumption profiles with high accuracy levels through calibration processes using energy bills, ensuring its feasibility for simulating the energy performance of schools, enabling comparison with other buildings, and informing end-users of potential energy savings. The accuracy of the model can be improved with an iterative, self-learning procedure and detailed energy data.

Suggested Citation

  • Lizana, Jesus & Serrano-Jimenez, Antonio & Ortiz, Carlos & Becerra, Jose A. & Chacartegui, Ricardo, 2018. "Energy assessment method towards low-carbon energy schools," Energy, Elsevier, vol. 159(C), pages 310-326.
    • Handle: RePEc:eee:energy:v:159:y:2018:i:c:p:310-326
    DOI: 10.1016/j.energy.2018.06.147
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    1. Hong, Tianzhen & Piette, Mary Ann & Chen, Yixing & Lee, Sang Hoon & Taylor-Lange, Sarah C. & Zhang, Rongpeng & Sun, Kaiyu & Price, Phillip, 2015. "Commercial Building Energy Saver: An energy retrofit analysis toolkit," Applied Energy, Elsevier, vol. 159(C), pages 298-309.
    2. Gil-Baez, Maite & Barrios-Padura, Ángela & Molina-Huelva, Marta & Chacartegui, R., 2017. "Natural ventilation systems in 21st-century for near zero energy school buildings," Energy, Elsevier, vol. 137(C), pages 1186-1200.
    3. Yang, Dong & Li, Ping, 2015. "Dimensionless design approach, applicability and energy performance of stack-based hybrid ventilation for multi-story buildings," Energy, Elsevier, vol. 93(P1), pages 128-140.
    4. Dias Pereira, Luísa & Raimondo, Daniela & Corgnati, Stefano Paolo & Gameiro da Silva, Manuel, 2014. "Energy consumption in schools – A review paper," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 911-922.
    5. Desideri, Umberto & Leonardi, Daniela & Arcioni, Livia & Sdringola, Paolo, 2012. "European project Educa-RUE: An example of energy efficiency paths in educational buildings," Applied Energy, Elsevier, vol. 97(C), pages 384-395.
    6. Miimu Airaksinen, 2011. "Energy Use in Day Care Centers and Schools," Energies, MDPI, vol. 4(6), pages 1-12, June.
    7. Turanjanin, Valentina & Vučićević, Biljana & Jovanović, Marina & Mirkov, Nikola & Lazović, Ivan, 2014. "Indoor CO2 measurements in Serbian schools and ventilation rate calculation," Energy, Elsevier, vol. 77(C), pages 290-296.
    8. Cauchi, Nathalie & Macek, Karel & Abate, Alessandro, 2017. "Model-based predictive maintenance in building automation systems with user discomfort," Energy, Elsevier, vol. 138(C), pages 306-315.
    9. Yang, Zheng & Ghahramani, Ali & Becerik-Gerber, Burcin, 2016. "Building occupancy diversity and HVAC (heating, ventilation, and air conditioning) system energy efficiency," Energy, Elsevier, vol. 109(C), pages 641-649.
    10. Wang, Yang & Zhao, Fu-Yun & Kuckelkorn, Jens & Liu, Di & Liu, Li-Qun & Pan, Xiao-Chuan, 2014. "Cooling energy efficiency and classroom air environment of a school building operated by the heat recovery air conditioning unit," Energy, Elsevier, vol. 64(C), pages 991-1001.
    11. Lee, Sang Hoon & Hong, Tianzhen & Piette, Mary Ann & Taylor-Lange, Sarah C., 2015. "Energy retrofit analysis toolkits for commercial buildings: A review," Energy, Elsevier, vol. 89(C), pages 1087-1100.
    12. Gill, Carrie & Lang, Corey, 2018. "Learn to conserve: The effects of in-school energy education on at-home electricity consumption," Energy Policy, Elsevier, vol. 118(C), pages 88-96.
    13. Kipping, A. & Trømborg, E., 2017. "Modeling hourly consumption of electricity and district heat in non-residential buildings," Energy, Elsevier, vol. 123(C), pages 473-486.
    14. Chen, Xi & Yang, Hongxing & Sun, Ke, 2016. "A holistic passive design approach to optimize indoor environmental quality of a typical residential building in Hong Kong," Energy, Elsevier, vol. 113(C), pages 267-281.
    15. Çakirlar Altuntaş, Esra & Turan, Salih Levent, 2018. "Awareness of secondary school students about renewable energy sources∗," Renewable Energy, Elsevier, vol. 116(PA), pages 741-748.
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    2. Carmen María Calama-González & Ángel Luis León-Rodríguez & Rafael Suárez, 2019. "Indoor Air Quality Assessment: Comparison of Ventilation Scenarios for Retrofitting Classrooms in a Hot Climate," Energies, MDPI, vol. 12(24), pages 1-20, December.
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    6. Geraldi, Matheus Soares & Ghisi, Enedir, 2022. "Integrating evidence-based thermal satisfaction in energy benchmarking: A data-driven approach for a whole-building evaluation," Energy, Elsevier, vol. 244(PB).
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    8. Lizana, Jesus & Halloran, Claire E. & Wheeler, Scot & Amghar, Nabil & Renaldi, Renaldi & Killendahl, Markus & Perez-Maqueda, Luis A. & McCulloch, Malcolm & Chacartegui, Ricardo, 2023. "A national data-based energy modelling to identify optimal heat storage capacity to support heating electrification," Energy, Elsevier, vol. 262(PA).
    9. Guido Marseglia & Blanca Fernandez Vasquez-Pena & Carlo Maria Medaglia & Ricardo Chacartegui, 2020. "Alternative Fuels for Combined Cycle Power Plants: An Analysis of Options for a Location in India," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
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