Visit the Energy Systems Laboratory Homepage.
Development of Graphical Indices for Displaying Large Scale Building Energy Data Sets
Abstract
Graphs are an effective way of displaying
quantitative and statistical information.
Unfortunately, only a few studies have systematically
looked at presenting building energy data in forms
which are both informative and easy to comprehend.
Recent advancements in computing. including the
development of sophisticated graphing packages and
powerful desktop computers have made the concept
of graphical indices more timely than ever before.
In this paper, graphical indices are
developed and used to analyze several years of hourly
data (20,000 to 30,000 data points) collected from
LoanSTAR sites. These indices are meant to be
efficient displays that present data in specific graphic
forms developed to highlight certain features. In a
large program like LoanSTAR many aspects of a
building's energy consumption behavior need to be
quickly and accurately viewed so that buildings can
be compared with one another. The purpose of this
paper is to show how graphical indices can be used to
help a building energy analyst view large amounts of
hourly building energy consumption data in order to
quickly and efficiently analyze the data, check for
errors, or establish time and temperature related trends over a large period of time. The objective is to demonstrate the use and effectiveness of the graphical indices on the data collected from an Engineering Center.
Citation
Abbas, M.; Haberl, J. S. (1994). Development of Graphical Indices for Displaying Large Scale Building Energy Data Sets. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from https : / /hdl .handle .net /1969 .1 /6642.