The Application Of Differential Evolution To
HVAC Optimization
Author(s)
R. W. Derksen & H. Guenther
Abstract
We examined the optimum window area, building aspect ratio and building
orientation for an apartment building in two different locations: Winnipeg,
Canada and Miami Florida. This application was based on a Python script
program called the EnergyPlus analysis program and utilized Differential
Evolution as the numerical optimization scheme. EnergyPlus is a whole building
load and energy analysis program that is well understood and freely available on
the internet. It can be used to both size equipment and perform annual energy
analysis. It is widely used in the HVAC industry and has demonstrated a good
track record. Differential Evolution is a genetic algorithm that is used to
numerically find the global optimum of problems that can have continuous,
integer, and discreet variables. It uses the existing population in a generation to
determine mutation, and is purported to be faster than other genetic algorithms.
The annual energy cost was used for the cost function of the optimization.
We will discuss the requirements and issues involved with developing a
Python based program called a stand-alone program. Additionally, we will
present the results of this exercise as well and present a thorough discussion of
the issues and potential pitfalls of this type of exercise.
Keywords: HVAC, optimization, Differential Evolution.
Keywords
HVAC, optimization, Differential Evolution.
Related Book
Other papers in this volume
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