Simplified Tool for The Energy Performance Assessment of Residential Buildings

Simplified Tool for The Energy Performance Assessment of Residential Buildings

Lorenzo BelussiLudovico Danza Italo Meroni Francesco Salamone Salvatore Minutoli Carlo Romeo 

Construction Institute of Technologies - National Research Council of Italy (ITC-CNR), via Lombardia 49, San Giuliano Milanese, Italy

Institute of Informatics and Telematics - National Research Council of Italy (IIT-CNR), Via Giuseppe Moruzzi, 1, Pisa, Italy

Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese, 301, Roma, Italy

Corresponding Author Email: 
belussi@itc.cnr.it
Page: 
122-128
|
DOI: 
https://doi.org/10.18280/mmc_b.870302
Received: 
13 February 2018
| |
Accepted: 
18 April 2018
| | Citation

OPEN ACCESS

Abstract: 

Building sector is responsible for approximately 40% of energy consumption and 36% of CO2 emissions in the EU. For more than a decade the Energy Performance Certification (EPC) revealed to be an effective tool to create demand for energy efficiency in buildings providing recommendations for the cost-effective upgrading of the energy performance. The EPC process is founded on a standard calculation, based on conventional climate, use, surroundings and occupant-related input data, as defined by the Technical Standard EN 15603:2008. Even if the EPC is substantially mandatory in the European Countries, differences can be found along the process in particular in terms of methodology and tools. In Italy the national regulation provides simplified methodologies that can generate results assuring a maximum deviation between + 20% and - 5% of the final non-renewable primary energy compared to the same parameters determined with the application of the national reference tool. The aim of the present article is to describe the salient features of the methodology and the technical choices necessary to guarantee the range of acceptability of the results. A case study tested the procedure and the results were compared to those of an extended calculation procedure.

Keywords: 

energy performance, energy certification, Building Energy Simulation (BES), residential building

1. Introduction
2. Methodological Approach
3. Case Study
4. Results
5. Conclusions
Nomenclature
  References

[1] Guazzi G, Bellazzi A, Meroni I, Magrini A. (2017). Refurbishment design through cost-optimal methodology: The case study of a social housing in the northern Italy. International Journal of Heat and Technology 35(1): S336-S344. http://doi.org/10.18280/ijht.35sp0146

[2] Danza L, Belussi L, Meroni I, Mililli M, Salamone F. (2016). Hourly calculation method of air source heat pump behavior. Buildings 6(2): 1-16. http://doi.org/10.3390/buildings6020016

[3] Danza L, Belussi L, Meroni I, Salamone F, Floreani F, Piccinini A, Dabusti A. (2016). A simplified thermal model to control the energy fluxes and to improve the performance of buildings. Energy Procedia 101: 97-104. http://doi.org//10.1016/j.egypro.2016.11.013

[4] Charalambides AG, Maxoulis CN, Kyriacou O, Blakeley E, Frances LS. (2018). The impact of Energy Performance Certificates on building deep energy renovation targets. International Journal of Sustainable Energy 1-12. http://doi.org/10.1080/14786451.2018.1448399

[5] Belussi L, Danza L, Ghellere M, Guazzi G, Meroni I, Salamone F. (2017). Estimation of building energy performance for local energy policy at urban scale. Energy Procedia 122: 98-103. http://doi.org/10.1016/j.egypro.2017.07.379

[6] Johansson T, Vesterlund M, Olofsson T, Dahl J. (2016). Energy performance certificates and 3-dimensional city models as a means to reach national targets–A case study of the city of Kiruna. Energy Conversion and Management 116: 42-57.

[7] López-González LM, López-Ochoa LM, Las-Heras-Casas J, García-Lozano C. (2016). Energy performance certificates as tools for energy planning in the residential sector. The case of La Rioja (Spain). Journal of Cleaner Production 137: 1280-1292. http://doi.org/10.1016/j.jclepro.2016.08.007

[8] Hjortling C, Björk F, Berg M, af Klintberg T. (2017). Energy mapping of existing building stock in Sweden–analysis of data from energy performance certificates. Energy and Buildings 153: 341-355. http://doi.org/10.1016/j.enbuild.2017.06.073

[9] Droutsa KG, Kontoyiannidis S, Dascalaki EG, Balaras C A. (2015). Mapping the energy performance of hellenic residential buildings from EPC (energy performance certificate) data. Energy 98: 284-295. http://doi.org/10.1016/j.energy.2015.12.137

[10] López-González LM, López-Ochoa LM, Las-Heras-Casas J, García-Lozano C. (2016). Update of energy performance certificates in the residential sector and scenarios that consider the impact of automation, control and management systems: A case study of La Rioja. Applied Energy 178: 308-322. http://doi.org/10.1016/j.apenergy.2016.06.028

[11] Khayatian F, Sarto L. (2017). Building energy retrofit index for policy making and decision support at regional and national scales. Applied Energy 206: 1062-1075. http:/doi.org/10.1016/j.apenergy.2017.08.237

[12] Pascuas R P, Paoletti G, Lollini R. (2017). Impact and reliability of EPCs in the real estate market. Energy Procedia 140: 102-114. http://doi.org/10.1016/j.egypro.2017.11.127

[13] Arcipowska A, Anagnostopoulos F, Mariottini F, Kunkel S. (2014). Energy performance certificates across the EU–a mapping of national approaches. Buildings Performace Institute Europe (BPIE), Brussels.

[14] Belussi L, Danza L, Meroni I, Salamone F, Ragazzi F, Mililli M (2013). Energy performance of buildings: A study of the differences between assessment methods. In Energy Consumption: Impacts of Human Activity, Current and Future Challenges, Environmental and Socio-Economic Effects, S. Reiter, ed.; New York, USA: Nova Science Publisher Inc: 53-75.

[15] Goldstein DB, Eley C. (2014). A classification of building energy performance indices. Energy Efficiency 7(2): 353-375. http://doi.org/10.1007/s12053-013-9248-0

[16] Nikolaou T, Kolokotsa D, Stavrakakis G, Apostolou A, Munteanu C. (2015). Review and state of the art on methodologies of buildings’ energy-efficiency classification. In Managing Indoor Environments and Energy in Buildings with Integrated Intelligent Systems. Springer, Cham: 13-31.

[17] Salvalai G, Masera G, Sesana M M. (2014). Italian local codes for energy efficiency of buildings: Theoretical definition and experimental application to a residential case study. Renewable and Sustainable Energy Reviews 42: 1245-1259. http://doi.org/10.1016/j.rser.2014.10.038

[18] Corrado V, Ballarini I, Paduos S. (2014). Assessment of cost-optimal energy performance requirements for the Italian residential building stock. Energy Procedia 45: 443-452. http://doi.org/10.1016/j.egypro.2014.01.048