TY  - GEN
KW  - Simulation
KW  -  optimisation
KW  -  energy
KW  -  house
A1  - Wright, Andrew J
A1  - Korolija, Ivan
A1  - Zhang, Yi
PB  - The Chartered Institution of Building Services Engineers (CIBSE)
N1  - This version is the version of record. For information on re-use, please refer to the publisher?s terms and conditions.
UR  - https://www.cibse.org/what-s-on/cibse-technical-symposium/past-papers-and-case-studies-archive/2013-papers
ID  - discovery10149656
N2  - Designers of low energy dwellings face many challenges in making best use of
space, and providing day lit and pleasant spaces, while minimising heat loss and
overall carbon emissions to meet various environmental and legislative targets.
These also have to be achieved within financial, spatial and planning constraints. In
other words, the design exercise is a multi-criteria optimization exercise. Usually this
is done using experience through iterative design development, assisted by various
software tools ranging from relatively simple models such as the Standard
Assessment Procedure (SAP), to detailed thermal simulation. This paper describes
the use of parametric simulations using EnergyPlus on a computer cluster to arrive at
optimal solutions, for both current and future climates. The tool is applied to some
modern house designs proposed for developments in the UK.
AV  - public
CY  - London,UK
TI  - Optimization of dwelling design under current and future climates using evolutionary algorithms in EnergyPlus
Y1  - 2013/04/12/
ER  -