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008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438328440
035 ▼a (MiAaPQ)AAI10829039
035 ▼a (MiAaPQ)purdue:22886
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 624
1001 ▼a Joe, Jaewan.
24510 ▼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.
5021 ▼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
71020 ▼a Purdue University. ▼b Civil Engineering.
7730 ▼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
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999254 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자