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Buildings Energy Efficiency: Interventions Analysis under a Smart Cities Approach

Author

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  • Gabriele Battista

    (Department of Engineering, University of Roma TRE, via Vito Volterra 62, Rome 00146, Italy)

  • Luca Evangelisti

    (Department of Engineering, University of Roma TRE, via Vito Volterra 62, Rome 00146, Italy)

  • Claudia Guattari

    (Department of Engineering, University of Roma TRE, via Vito Volterra 62, Rome 00146, Italy)

  • Carmine Basilicata

    (Department of Engineering, University of Roma TRE, via Vito Volterra 62, Rome 00146, Italy)

  • Roberto De Lieto Vollaro

    (Department of Engineering, University of Roma TRE, via Vito Volterra 62, Rome 00146, Italy)

Abstract

Most of the world’s population lives in urban areas and in inefficient buildings under the energy point of view. Starting from these assumptions, there is the need to identify methodologies and innovations able to improve social development and the quality of life of people living in cities. Smart cities can be a viable solution. The methodology traditionally adopted to evaluate building energy efficiency starts from the structure’s energy demands analysis and the demands reduction evaluation. Consequently, the energy savings is assessed through a cascade of interventions. Regarding the building envelope, the first intervention is usually related to the reduction of the thermal transmittance value, but there is also the need to emphasize the building energy savings through other parameters, such as the solar gain factor and dye solar absorbance coefficients. In this contribution, a standard building has been modeled by means of the well-known dynamic software, TRNSYS. This study shows a parametrical analysis through which it is possible to evaluate the effect of each single intervention and, consequently, its influence on the building energy demand. Through this analysis, an intervention chart has been carried out, aiming to assess the intervention efficiency starting from the percentage variation of energy demands.

Suggested Citation

  • Gabriele Battista & Luca Evangelisti & Claudia Guattari & Carmine Basilicata & Roberto De Lieto Vollaro, 2014. "Buildings Energy Efficiency: Interventions Analysis under a Smart Cities Approach," Sustainability, MDPI, vol. 6(8), pages 1-12, July.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:8:p:4694-4705:d:38565
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    10. David Bienvenido-Huertas & Juan Antonio Fernández Quiñones & Juan Moyano & Carlos E. Rodríguez-Jiménez, 2018. "Patents Analysis of Thermal Bridges in Slab Fronts and Their Effect on Energy Demand," Energies, MDPI, vol. 11(9), pages 1-18, August.
    11. Luca Evangelisti & Claudia Guattari & Paola Gori & Roberto De Lieto Vollaro, 2015. "In Situ Thermal Transmittance Measurements for Investigating Differences between Wall Models and Actual Building Performance," Sustainability, MDPI, vol. 7(8), pages 1-11, August.
    12. Tatiana Tucunduva Philippi Cortese & Jairo Filho Sousa de Almeida & Giseli Quirino Batista & José Eduardo Storopoli & Aaron Liu & Tan Yigitcanlar, 2022. "Understanding Sustainable Energy in the Context of Smart Cities: A PRISMA Review," Energies, MDPI, vol. 15(7), pages 1-38, March.
    13. Cinzia Buratti & Francesco Asdrubali & Domenico Palladino & Antonella Rotili, 2015. "Energy Performance Database of Building Heritage in the Region of Umbria, Central Italy," Energies, MDPI, vol. 8(7), pages 1-18, July.
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    15. Adalberto Santos-Júnior & Fernando Almeida-García & Paulo Morgado & Luiz Mendes-Filho, 2020. "Residents’ Quality of Life in Smart Tourism Destinations: A Theoretical Approach," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    16. David Bienvenido-Huertas & Roberto Rodríguez-Álvaro & Juan José Moyano & Fernando Rico & David Marín, 2018. "Determining the U -Value of Façades Using the Thermometric Method: Potentials and Limitations," Energies, MDPI, vol. 11(2), pages 1-17, February.
    17. Dong-Seok Lee & Jae-Hun Jo & Sung-Han Koo & Byung-Yun Lee, 2015. "Development of Climate Indices Using Local Weather Data for Shading Design," Sustainability, MDPI, vol. 7(2), pages 1-16, February.
    18. Chaohui Zhang & Mingyu He & Yishan Zhang, 2019. "Urban Sustainable Development Based on the Framework of Sponge City: 71 Case Studies in China," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    19. Guillermo Rey & Carlos Ulloa & Jose Luis Míguez & Elena Arce, 2016. "Development of an ICE-Based Micro-CHP System Based on a Stirling Engine; Methodology for a Comparative Study of its Performance and Sensitivity Analysis in Recreational Sailing Boats in Different Euro," Energies, MDPI, vol. 9(4), pages 1-14, March.
    20. Bhati, Abhishek & Hansen, Michael & Chan, Ching Man, 2017. "Energy conservation through smart homes in a smart city: A lesson for Singapore households," Energy Policy, Elsevier, vol. 104(C), pages 230-239.
    21. Anna Laura Pisello & Gloria Pignatta & Veronica Lucia Castaldo & Franco Cotana, 2015. "The Impact of Local Microclimate Boundary Conditions on Building Energy Performance," Sustainability, MDPI, vol. 7(7), pages 1-24, July.
    22. Giorgio Baldinelli & Francesco Bianchi & Matteo Cornicchia & Francesco D’Alessandro & Gabriele De Micheli & Gaia Gifuni & Andrea Monsignori & Maria Ruggiero & Michele Cenci & Fabrizio Bonucci & France, 2015. "MuSAE: A European Project for the Diffusion of Energy and Environmental Planning in Small-Medium Sized Municipalities," Sustainability, MDPI, vol. 7(12), pages 1-16, December.
    23. Hana Charvátová & Aleš Procházka & Martin Zálešák, 2018. "Computer Simulation of Temperature Distribution during Cooling of the Thermally Insulated Room," Energies, MDPI, vol. 11(11), pages 1-16, November.
    24. Bienvenido-Huertas, David & Moyano, Juan & Marín, David & Fresco-Contreras, Rafael, 2019. "Review of in situ methods for assessing the thermal transmittance of walls," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 356-371.

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