| LDR | | 02872nam u200433 4500 |
| 001 | | 000000422452 |
| 005 | | 20190215170134 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438328440 |
| 035 | |
▼a (MiAaPQ)AAI10829039 |
| 035 | |
▼a (MiAaPQ)purdue:22886 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 624 |
| 100 | 1 |
▼a Joe, Jaewan. |
| 245 | 10 |
▼a Agent-based Approach for System Identification and Optimal Control of High Performance Buildings. |
| 260 | |
▼a [S.l.]:
▼b Purdue University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 111 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: Panagiota Karava. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Purdue University, 2018. |
| 520 | |
▼a Commercial buildings have strong impacts on humans and the environment. They not only affect occupants' comfort, health, and well-being but also consume more than 19% of the total energy consumption in the US. High performance building designs c |
| 520 | |
▼a Despite of the advantages , there are still significant obstacles associated with the realization of MPC implementation in actual buildings. First of all, the process of generating a control-oriented building model, which is referred as system i |
| 520 | |
▼a As a first step, a multi-agent systems approach for data-driven grey-box building models is introduced. Each zone is divided into sub-systems, and a parameter set for each sub-system is first estimated individually, and then integrated into an i |
| 520 | |
▼a In the next step, a centralized MPC strategy is developed for zone thermal environment control in an occupied office space with radiant comfort delivery along with a chiller and boiler as HVAC sources. The MPC controller deploys an optimization |
| 520 | |
▼a In the final step, a distributed optimization algorithm, inspired by the Proximal Jacobian Alternating Direction Method of Multipliers, is introduced. It includes multiple MPCs run iteratively while exchanging control input information until the |
| 520 | |
▼a In summary, this thesis introduces a new agent-based approach for system identification and MPC, which is implemented and tested using an actual building as test-bed. The results show significantly improved performance compared to conventional s |
| 590 | |
▼a School code: 0183. |
| 650 | 4 |
▼a Architectural engineering. |
| 690 | |
▼a 0462 |
| 710 | 20 |
▼a Purdue University.
▼b Civil Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0183 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999254
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |