東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Modeling, estimation, and control of...

Luong, David,

Linked to FindBook

Google Book

Amazon

博客來

Modeling, estimation, and control of waste heat recovery systems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling, estimation, and control of waste heat recovery systems // David Luong.
Author:	Luong, David,
Description:	1 electronic resource (318 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 75-05, Section: B.
Contained By:	Dissertations Abstracts International75-05B.
Subject:	Automotive engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3595238
ISBN:	9781303404764

Modeling, estimation, and control of waste heat recovery systems /
Luong, David,

Modeling, estimation, and control of waste heat recovery systems /David Luong. - 1 electronic resource (318 pages)

Source: Dissertations Abstracts International, Volume: 75-05, Section: B.

Energy consumption and efficiency continue to be an area of high interest with the diminishing supply and rising costs of fossil fuels. In the United States, the industrial and transportation sectors consume a significant portion of the resources and total energy, accounting for significant fossil-fuel-related environmental impacts such as greenhouse gas pollution and global warming. It has been estimated that between 20 to 50\\% of the energy consumed is lost as waste heat in the form of hot exhaust gases, cooling water, and hot equipment surfaces. By converting the heat to a more useful energy form, waste heat recovery (WHR) technologies are capable of creating emission-free, low-cost, and sustainable energy sources. However, WHR systems, if not properly designed and operated, may not be economically and or even feasible, particularly with low-grade and highly-transient heat sources. The aim of this dissertation is to predict WHR performance and feasibility through physics-based static and dynamic Rankine Cycle (RC) modeling for low- and medium-grade transient heat sources. The dynamic models provided are low-order, control-oriented, and suitable for tractable estimation and control methods that improve operational performance and observability of key process variables. Thermoproperties for water and steam are obtained from equations of state formulations based on Helmholtz and Gibbs free energy. For general fluids and their mixtures, equations of state can be obtaned from a presented least squares property fit routine. This dissertation applies the modeling, estimation, and control methods on a WHR application for heavy-duty diesel powertrain where important RC variables are captured and monitored while satisfying specified design and operating constraints. An organic working fluid mixture of ethanol and water is considered for this organic RC (ORC) application. Estimation and control methods are simulated on a dynamic ORC model of different architectures and actuator configurations. Power load following is also examined. The simulation results indicate improved ORC operation with feedback controls over the open-loop case. Multi-input multi-output controllers that rely on state estimation feedback show better tracking performance than single-input single-output controllers. Finally, a library of static and dynamic component models are provided as a useful aid for designing general WHR systems.

English

ISBN: 9781303404764Subjects--Topical Terms:

2181195
Automotive engineering.
Subjects--Index Terms:

Applied control theory

Modeling, estimation, and control of waste heat recovery systems /
LDR:04049nmm a22004693i 4500 001 2434128
005 20250905091349.5
006 m o d
007 cr|nu||||||||
008 261011s2013 miu||||||m |||||||eng d
020 $a 9781303404764
035 $a (MiAaPQD)AAI3595238
035 $a (MiAaPQD)ucla:11778
035 $a AAI3595238
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Luong, David, $e author. $3 3824004
245 1 0 $a Modeling, estimation, and control of waste heat recovery systems / $c David Luong.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2013
300 $a 1 electronic resource (318 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 75-05, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisors: Tsao, Tsu-Chin Committee members: Christofides, Panagiotis D.; Gibson, James S.; Lavine, Adrienne G.
502 $b Ph.D. $c University of California, Los Angeles $d 2013.
520 $a Energy consumption and efficiency continue to be an area of high interest with the diminishing supply and rising costs of fossil fuels. In the United States, the industrial and transportation sectors consume a significant portion of the resources and total energy, accounting for significant fossil-fuel-related environmental impacts such as greenhouse gas pollution and global warming. It has been estimated that between 20 to 50\\% of the energy consumed is lost as waste heat in the form of hot exhaust gases, cooling water, and hot equipment surfaces. By converting the heat to a more useful energy form, waste heat recovery (WHR) technologies are capable of creating emission-free, low-cost, and sustainable energy sources. However, WHR systems, if not properly designed and operated, may not be economically and or even feasible, particularly with low-grade and highly-transient heat sources. The aim of this dissertation is to predict WHR performance and feasibility through physics-based static and dynamic Rankine Cycle (RC) modeling for low- and medium-grade transient heat sources. The dynamic models provided are low-order, control-oriented, and suitable for tractable estimation and control methods that improve operational performance and observability of key process variables. Thermoproperties for water and steam are obtained from equations of state formulations based on Helmholtz and Gibbs free energy. For general fluids and their mixtures, equations of state can be obtaned from a presented least squares property fit routine. This dissertation applies the modeling, estimation, and control methods on a WHR application for heavy-duty diesel powertrain where important RC variables are captured and monitored while satisfying specified design and operating constraints. An organic working fluid mixture of ethanol and water is considered for this organic RC (ORC) application. Estimation and control methods are simulated on a dynamic ORC model of different architectures and actuator configurations. Power load following is also examined. The simulation results indicate improved ORC operation with feedback controls over the open-loop case. Multi-input multi-output controllers that rely on state estimation feedback show better tracking performance than single-input single-output controllers. Finally, a library of static and dynamic component models are provided as a useful aid for designing general WHR systems.
546 $a English
590 $a School code: 0031
650 4 $a Automotive engineering. $3 2181195
650 4 $a Mechanical engineering. $3 649730
650 4 $a Applied mathematics. $3 2122814
653 $a Applied control theory
653 $a Energy systems
653 $a Nonlinear state estimation
653 $a Nonlinear system
653 $a System science
653 $a Waste heat recovery
690 $a 0364
690 $a 0540
690 $a 0548
710 2 $a University of California, Los Angeles. $b Mechanical Engineering 0330. $e degree granting institution. $3 3815865
720 1 $a Tsao, Tsu-Chin $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 75-05B.
790 $a 0031
791 $a Ph.D.
792 $a 2013
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3595238