| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000332769 |
| 005 | | 20241205131001 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438058286 |
| 035 | |
▼a (MiAaPQ)AAI10810249 |
| 035 | |
▼a (MiAaPQ)lehigh:11893 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 660 |
| 100 | 1 |
▼a Urich, Matthew D.
▼0 (orcid)0000-0001-5146-2895 |
| 245 | 10 |
▼a Dynamic Modeling, Predictive Control and Optimization of a Rapid Pressure Swing Adsorption System. |
| 260 | |
▼a [S.l.] :
▼b Lehigh University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 144 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Mayuresh V. Kothare. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Lehigh University, 2018. |
| 520 | |
▼a Rapid Pressure Swing Adsorption (RPSA) is a gas separation technology with an important commercial application for Medical Oxygen Concentrators (MOCs). MOCs use RPSA technology to produce high purity oxygen (O2) from ambient air, and provide med |
| 520 | |
▼a In this work, a study of dynamic modeling, predictive control and optimization of this single-bed RPSA device is presented. A detailed, nonlinear plant model of the RPSA device is used to study the dynamics of the system as well as design a Mode |
| 520 | |
▼a The MPC is implemented onto a lab-scale MOC prototype using Raspberry Pi hardware, and evaluated using several MOC-relevant disturbance scenarios. The MPC is also expanded using piece-wise linear modeling to improve the performance of an RPSA de |
| 520 | |
▼a Design and optimization of RPSA systems remains an active area of research, and many PSA models have been used to optimize RPSA cycles in simulation. In this work, a model-free steady state optimization approach using the embedded hardware is pr |
| 590 | |
▼a School code: 0105. |
| 650 | 4 |
▼a Chemical engineering. |
| 650 | 4 |
▼a Engineering. |
| 690 | |
▼a 0542 |
| 690 | |
▼a 0537 |
| 710 | 20 |
▼a Lehigh University.
▼b Chemical Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0105 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997930
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |