2016
DOI: 10.3390/buildings6020023
|View full text |Cite
|
Sign up to set email alerts
|

Application of a New Dynamic Heating System Model Using a Range of Common Control Strategies

Abstract: This research investigates the overall heating energy consumptions using various control strategies, secondary heat emitters, and primary plant for a building. Previous research has successfully demonstrated that a dynamic distributed heat emitter model embedded within a simplified third-order lumped parameter building model is capable of achieving improved results when compared to other commercially available modelling tools. With the enhanced ability to capture transient effects of emitter thermal capacity, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
4
1

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 17 publications
0
4
0
Order By: Relevance
“…It is thought that the intelligent controls strategy begins at the consumers' building. These controls will assist in delivering variable temperatures throughout the secondary circuit, dependent upon external weather conditions, which is commonly known as "weather compensation" [75]. An example of this Fig.…”
Section: Controls and Communicationsmentioning
confidence: 99%
“…It is thought that the intelligent controls strategy begins at the consumers' building. These controls will assist in delivering variable temperatures throughout the secondary circuit, dependent upon external weather conditions, which is commonly known as "weather compensation" [75]. An example of this Fig.…”
Section: Controls and Communicationsmentioning
confidence: 99%
“…Indeed, in literature, several model-based approaches are described for the definition of smart control strategies of air conditioning systems. They make use of simplified correlations between operating parameters and system performance indicators [76], thermodynamic models of the components [77], equivalent thermal parameters [78] or more advanced couplings of dynamic models and optimization methods, i.e., by means of genetic algorithms [79]. The proposed model can, with limited effort, be used to derive the simplified correlations needed for such applications or, exploiting the a-causality of the language and the possibility to exchange the model through FMUs, thus configuring as a useful tool also for the evaluation of control strategies.…”
Section: Applications Of the Modelmentioning
confidence: 99%
“…We remark that also in this case, EnergyPlus was used to generate heating load profiles. An alternative approach is to use reduced-order models [39,40], which describe the building/zone temperature dynamics accounting for the various thermal masses, thermal resistances, and heat sources. These models are calibrated and can be used to implement predictive control algorithms.…”
Section: Heating Test Casesmentioning
confidence: 99%
“…A general knowledge of the sites to be refurbished is helpful to apply the presented methodology and tool more effectively, given the large number of scenarios that can be generated using the built-in ECM catalogues. Accurate modelling of system components along with their controls, as well as the optimization algorithms, are the key ingredients to be incorporated in a decision support platform for refurbishment design [28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. We focus on the simulation procedure and ascertaining the impact HVAC and controls to have pertinent performance indicators.…”
Section: Introductionmentioning
confidence: 99%