Towards a New Generation of Building Envelope Calibration
Carlos Fernández Bandera and
Germán Ramos Ruiz
Additional contact information
Carlos Fernández Bandera: School of Architecture, University of Navarra, 31009 Pamplona, Spain
Germán Ramos Ruiz: School of Architecture, University of Navarra, 31009 Pamplona, Spain
Energies, 2017, vol. 10, issue 12, 1-19
Abstract:
Building energy performance (BEP) is an ongoing point of reflection among researchers and practitioners. The importance of buildings as one of the largest activators in climate change mitigation was illustrated recently at the United Nations Framework Convention on Climate Change 21st Conference of the Parties (COP21). Continuous technological improvements make it necessary to revise the methodology for energy calculations in buildings, as has recently happened with the new international standard ISO 52016-1 on Energy Performance of Buildings. In this area, there is a growing need for advanced tools like building energy models (BEMs). BEMs should play an important role in this process, but until now there has no been international consensus on how these models should reconcile the gap between measurement and simulated data in order to make them more reliable and affordable. Our proposal is a new generation of models that reconcile the traditional data-driven (inverse) modelling and law-driven (forward) modelling in a single type that we have called law-data-driven models. This achievement has greatly simplified past methodologies, and is a step forward in the search for a standard in the process of calibrating a building energy model.
Keywords: multi-zone calibration; energy simulation; uncertainty analysis; multi-objective optimization; genetic algorithm (NSGA-II); zero energy calibration (ZEC); building energy models (BEMs); law-driven (forward) modelling; data-driven (inverse) modelling; law-data-driven BEMs (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/10/12/2102/pdf (application/pdf)
https://www.mdpi.com/1996-1073/10/12/2102/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:12:p:2102-:d:122506
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().