EBC Annex 55 Reliability of Energy Efficient Building Retrofitting - Probability Assessment of Performance & Cost (RAP-RETRO)

 

Status: Completed (2010-2015)

Operating Agent: Dr Carl-Eric Hagentoft, Chalmers University of Technology, Department of Civil & Environmental Engineering, SE-412 96 Göteborg, Sweden
Email: carl-eric.hagentoft[at]chalmers.se

Website: www.iea-rapretro.org

 

Summary

Retrofit measures are therefore of the utmost importance for upgrading the building stock. But, many building owners are only interested in the initial capital cost. Looking at the risks associated with the actual performance of such measures and the costs incurred highlights the need for life cycle thinking. So, applicable calculation methods are required in this area. For this purpose, probability assessment in life cycle costing of solutions supports sound decision making relating to investments. For industry, customer relationships are based on future expectations and confidence. These need to be supported by proper probability assessments.

The project has significantly improved methods and tools for integrated evaluation and optimization of retrofitting measures, including energy efficiency, life cycle cost and durability. For decision makers, designers and practitioners, it has demonstrated the benefits of the renewal of the existing building stock and how to create reliable solutions.

The project has delivered decision support data and has developed tools for evaluating energy retrofitting measures, focusing on residential building envelopes. These tools have been based on probabilistic methodologies. The main results of such probabilistic risk assessments are probabilities or likelihoods, i.e. quantities that show how many out of all the possible cases do or do not meet the desired performance.

Specifically, the project has:

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developed and validated probabilistic methods and tools for prediction of energy use, lifecycle cost and functional performance based on assessment of energy retrofitting measures,

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applied and demonstrated probabilistic methodologies on real life case studies to enhance energy savings, secure performance and apply cost analyses, and

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created guidelines for practitioners, including assessment of common retrofitting techniques.

Participants: Austria, Belgium, Denmark, Germany, the Netherlands, Portugal, Sweden, United Kingdom, USA
Observers: Brazil, Slovakia, Estonia

Publications 

Factsheet

Reliability of Energy Efficient Building Retrofitting - Probability Assessment of Performance and Cost, (RAP-RETRO)
Stochastic Data
Carl-Eric Hagentoft (Institutionen för bygg- och miljöteknik, Byggnadsteknologi); Nuno M. M. Ramos, John Grunewald, Göteborg, Chalmers University of Technology, 2015 
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Reliability of Energy Efficient Building Retrofitting - Probability Assessment of Performance and Cost, (RAP-RETRO)
Probabilistic Tools
Carl-Eric Hagentoft (Institutionen för bygg- och miljöteknik, Byggnadsteknologi); Hans Janssen, Staf Roels, Liesje Gelder van, Payel Das, Göteborg, Chalmers University of Technology, 2015 
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Reliability of Energy Efficient Building Retrofitting - Probability Assessment of Performance and Cost, (RAP-RETRO)
Framework for probabilistic assessment of performance of retrofitted building envelopes
Carl-Eric Hagentoft (Institutionen för bygg- och miljöteknik, Byggnadsteknologi), Angela Sasic Kalagasidis (Institutionen för bygg- och miljöteknik, Byggnadsteknologi), Carsten Rode, Göteborg, Chalmers University of Technology, 2015
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Reliability of Energy Efficient Building Retrofitting- Probability Assessment of Performance and Cost, (RAP-RETRO)
Practice and guidelines
Carl-Eric Hagentoft (Institutionen för bygg- och miljöteknik, Byggnadsteknologi), Marcus Fink, Andreas Holm, Florian Antretter, Göteborg, Chalmers University of Technology, 2015
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Reliability of Energy Efficient Building Retrofitting- Probability Assessment of Performance and Cost, (RAP-RETRO)
Risk management by probabilistic assessment, Development of guidelines for practice

Thomas Bednar, Carl-Eric Hagentoft
Göteborg, Chalmers University of Technology, 2015
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