Using of Computer Models for Cost-Optimization of Minimum Energy Performance of Buildings

Session

Energy Efficiency Engineering

Description

Analysis of the buildings energy performance should include the calculation of cost-optimal levels of minimum energy performance requirements. EU regulation has established a comparative methodology framework for this calculation. It specifies rules for comparing energy efficiency measures, and the cost attributed to their implementation. To make building payable, it is not enough to minimize energy consumption needs by improving energy efficiency of envelope, but also use of optimized cost solution is required. Goal is to achieve balanced energy budget in a year cycle, by minimizing investment costs at the same time. Calculation methodology requires combined use of simulation programs and optimization algorithms. The most used computer models for these purposes were numerically optimized using simulation-based approach in which a dynamic building simulation program was coupled with the optimization engine (GenOpt). Analysis of preconditions for using of them and preferences of use are presented in the paper.

Keywords:

Energy performance, Cost-optimization, Simulation, Computer

Session Chair

Peter P. Groumpos

Session Co-Chair

Ines Bula

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-437-54-7

Location

Durres, Albania

Start Date

27-10-2017 3:00 PM

End Date

27-10-2017 4:30 PM

DOI

10.33107/ubt-ic.2017.151

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Oct 27th, 3:00 PM Oct 27th, 4:30 PM

Using of Computer Models for Cost-Optimization of Minimum Energy Performance of Buildings

Durres, Albania

Analysis of the buildings energy performance should include the calculation of cost-optimal levels of minimum energy performance requirements. EU regulation has established a comparative methodology framework for this calculation. It specifies rules for comparing energy efficiency measures, and the cost attributed to their implementation. To make building payable, it is not enough to minimize energy consumption needs by improving energy efficiency of envelope, but also use of optimized cost solution is required. Goal is to achieve balanced energy budget in a year cycle, by minimizing investment costs at the same time. Calculation methodology requires combined use of simulation programs and optimization algorithms. The most used computer models for these purposes were numerically optimized using simulation-based approach in which a dynamic building simulation program was coupled with the optimization engine (GenOpt). Analysis of preconditions for using of them and preferences of use are presented in the paper.