@inproceedings{simbuild2012_06c_1_Coffey,
doi = {},
url = {https://publications.ibpsa.org/conference/paper/?id=simbuild2012_06c_1_Coffey},
year = {2012},
month = {August},
publisher = {IBPSA USA},
author = {Brian Coffey and Dan Tuhus-Dubrow and Madhav Munshi},
title = {All the Ways of Meeting a Target: Calculating a Solution Surface Using GenOpt},
booktitle = {Proceedings of SimBuild Conference 2012: 5th conference of IBPSA USA},
volume = {5},
isbn = {},
address = {Madison, USA},
series = {SimBuild Conference},
pages = {385--389},
abstract = {Energy efficiency consultants are often asked to find a variety of ways of meeting an energy target, from which the client would select the most suitable by considering
installation costs, aesthetics and other concerns. Clients are usually presented with just a few discrete options, but in most cases there are actually infinite ways of meeting
the target. Given an n-dimensional space of options defined by n design parameters, the set of options that exactly meet a particular target is generally a surface of n-1
dimensions. This paper describes methods to calculate a grid of solution points on this surface by selecting one design parameter xi, defining a grid of values for the remaining design parameters (xj, for all j != i) and for each grid
point using GenOpt to find the value of xi that exactly
meets the target (if a solution exists for that grid point).
The technique may also be used to describe trade-offs between design parameters around some reference point. A
case study is used herein for illustration. The result is a
more comprehensive description of options, and can lead
to a richer interaction between designer and analyst, and
more designer insight into the energy-related aspects of
their project.},
issn = {},
Organisation = {IBPSA USA},
Editors = {}
}