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**Harvard**

Onsjö, K. och Danielsson, A. (2018) *Retrofitting of Housing Blocks Minimizing space heating and cost using combinatorial optimization modelling and algorithms*. Göteborg : Chalmers University of Technology

** BibTeX **

@mastersthesis{

Onsjö2018,

author={Onsjö, Kristian and Danielsson, Anton},

title={Retrofitting of Housing Blocks Minimizing space heating and cost using combinatorial optimization modelling and algorithms},

abstract={This report details an approach toward finding Pareto optimal solutions to the
problem of retrofitting buildings by modelling it as an integer linear optimization
problem. The report discusses some background to its importance, e.g., that many
buildings do not currently meet the standards set by the European Union for energy
efficiency. A current prognosis shows that these standards will not be met in due
time, and as such the DREEAM project aims to improve the work being done on
retrofitting buildings. The optimization tool DreeamTool, currently being developed
within DREEAM, uses a stochastic algorithm, NSGA-II. In the report it is shown
how a method based on integer linear programming with multiple objective functions
performs, as opposed to the current method. It is shown that the mathematical
model and solution approach finds Pareto optimal solutions in a computation time
that is considerably shorter than that used by NSGA-II for finding an approximation
of the Pareto front.},

publisher={Institutionen för data- och informationsteknik (Chalmers), Chalmers tekniska högskola},

place={Göteborg},

year={2018},

keywords={ integer linear programming, mathematical modelling, linearization, combinatorial optimization, retrofitting, buildings, neighborhoods, retrofitting of building blocks, energy efficiency},

note={63},

}

** RefWorks **

RT Generic

SR Electronic

ID 255142

A1 Onsjö, Kristian

A1 Danielsson, Anton

T1 Retrofitting of Housing Blocks Minimizing space heating and cost using combinatorial optimization modelling and algorithms

YR 2018

AB This report details an approach toward finding Pareto optimal solutions to the
problem of retrofitting buildings by modelling it as an integer linear optimization
problem. The report discusses some background to its importance, e.g., that many
buildings do not currently meet the standards set by the European Union for energy
efficiency. A current prognosis shows that these standards will not be met in due
time, and as such the DREEAM project aims to improve the work being done on
retrofitting buildings. The optimization tool DreeamTool, currently being developed
within DREEAM, uses a stochastic algorithm, NSGA-II. In the report it is shown
how a method based on integer linear programming with multiple objective functions
performs, as opposed to the current method. It is shown that the mathematical
model and solution approach finds Pareto optimal solutions in a computation time
that is considerably shorter than that used by NSGA-II for finding an approximation
of the Pareto front.

PB Institutionen för data- och informationsteknik (Chalmers), Chalmers tekniska högskola,PB Institutionen för data- och informationsteknik (Chalmers), Chalmers tekniska högskola,

LA eng

LK http://publications.lib.chalmers.se/records/fulltext/255142/255142.pdf

OL 30