2017
DOI: 10.1016/j.enbuild.2017.03.024
|View full text |Cite
|
Sign up to set email alerts
|

Change point and degree day baseline regression models in industrial facilities

Abstract: Industrial facilities account for 33% of the annual energy usage within the United States [17] and this large sector of the domestic energy budget presents significant opportunities for energy efficiency. In order to effectively analyze energy savings opportunities in industrial facilities, adequate baseline models of energy usage in the facilities are needed. Multiple methods of creating baseline energy models have been used in commercial and residential buildings, however, few of these techniques have been m… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
8
0
1

Year Published

2018
2018
2022
2022

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 18 publications
(9 citation statements)
references
References 13 publications
(30 reference statements)
0
8
0
1
Order By: Relevance
“…[ 1–4 ] Meanwhile, space heating and cooling occupy huge amounts of building's energy consumption, especially for refrigeration cooling equipment. [ 5 ] Thus, reducing the use of refrigeration equipment is an efficient way to decrease energy consumption. In recent years, passive cooling materials have been widely investigated to suppress the increases in the indoor temperature.…”
Section: Introductionmentioning
confidence: 99%
“…[ 1–4 ] Meanwhile, space heating and cooling occupy huge amounts of building's energy consumption, especially for refrigeration cooling equipment. [ 5 ] Thus, reducing the use of refrigeration equipment is an efficient way to decrease energy consumption. In recent years, passive cooling materials have been widely investigated to suppress the increases in the indoor temperature.…”
Section: Introductionmentioning
confidence: 99%
“…In existing studies, models with a change point are flexible to describe the varied relationship between the respond and the covariate and have been widely used in degradation modeling, 2022 pharmacology, 23 and other fields. 2426 So we believe that the proposed two-stage Arrhenius model will be powerful for extrapolation in the ATDT with a mechanism variation.…”
Section: Model Formationmentioning
confidence: 93%
“…Its calculation is based on the concept of base temperature, from which the building needs to be heated. This variable has been used in numerous studies [38][39][40][41][42].…”
Section: Obtaining and Processing Data On Climatic Variablesmentioning
confidence: 99%