Modelica-based dynamic modeling of a chilled-water cooling coil.(Report): An article from: HVAC & R Research
Book Details
Author(s)Pengfei Li, Yaoyu Li, John E. Seem
PublisherTaylor & Francis Ltd.
ISBN / ASINB003UKYZ1W
ISBN-13978B003UKYZ16
AvailabilityAvailable for download now
Sales Rank6,890,671
MarketplaceUnited States 🇺🇸
Description
This digital document is an article from HVAC & R Research, published by Taylor & Francis Ltd. on January 1, 2010. The length of the article is 9177 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: For heating, ventilating, and air-conditioning (HVAC) systems for commercial buildings, the cooling coils in air-handling units (AHUs) account for a significant fraction of total building energy consumption and have a major impact on comfort conditions and maintenance costs. Development of cost-effective advanced control strategies will enhance the performance and efficiency of AHUs. The control design process can be greatly facilitated with simulation on a high-fidelity dynamic model prior to experimental validation and implementation. This paper presents a dynamic model for a chilled-water cooling coil. The model development was based on Dymola and Air Conditioning Library with some revision on heat exchanger modeling. For chilled-water cooling coil modeling, the major challenges include the variation of coil surface conditions under flow rate changes and partially-dry-partially-wet operations. This study proposes a dynamic coil model that is capable of predicting cooling performances under fully dry, partially-dry-partially-wet, and fully wet conditions. Validation with experimental data from a benchmark study was conducted under both dry and wet surface conditions. The model predicted the experimental results quite well for both transient and steady-state behaviors. Such a transient model will lay a more quality foundation for controller validation at the simulation phase.
Citation Details
Title: Modelica-based dynamic modeling of a chilled-water cooling coil.(Report)
Author: Pengfei Li
Publication:HVAC & R Research (Magazine/Journal)
Date: January 1, 2010
Publisher: Taylor & Francis Ltd.
Volume: 16 Issue: 1 Page: 35(24)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
From the author: For heating, ventilating, and air-conditioning (HVAC) systems for commercial buildings, the cooling coils in air-handling units (AHUs) account for a significant fraction of total building energy consumption and have a major impact on comfort conditions and maintenance costs. Development of cost-effective advanced control strategies will enhance the performance and efficiency of AHUs. The control design process can be greatly facilitated with simulation on a high-fidelity dynamic model prior to experimental validation and implementation. This paper presents a dynamic model for a chilled-water cooling coil. The model development was based on Dymola and Air Conditioning Library with some revision on heat exchanger modeling. For chilled-water cooling coil modeling, the major challenges include the variation of coil surface conditions under flow rate changes and partially-dry-partially-wet operations. This study proposes a dynamic coil model that is capable of predicting cooling performances under fully dry, partially-dry-partially-wet, and fully wet conditions. Validation with experimental data from a benchmark study was conducted under both dry and wet surface conditions. The model predicted the experimental results quite well for both transient and steady-state behaviors. Such a transient model will lay a more quality foundation for controller validation at the simulation phase.
Citation Details
Title: Modelica-based dynamic modeling of a chilled-water cooling coil.(Report)
Author: Pengfei Li
Publication:HVAC & R Research (Magazine/Journal)
Date: January 1, 2010
Publisher: Taylor & Francis Ltd.
Volume: 16 Issue: 1 Page: 35(24)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
