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An Agent Based Simulation for Building Energy System Modeling

[+] Author Affiliations
Mengqi Hu, Fan Li, Moeed Haghnevis, Yasaman Khodadadegan, Luis Mejia Sanchez, Shanshan Wang, Xiaotian Zhuang, Teresa Wu

Arizona State University, Tempe, AZ

Jin Wen

Drexel University, Philadelphia, PA

Paper No. DSCC2010-4176, pp. 247-254; 8 pages
doi:10.1115/DSCC2010-4176
From:
  • ASME 2010 Dynamic Systems and Control Conference
  • ASME 2010 Dynamic Systems and Control Conference, Volume 2
  • Cambridge, Massachusetts, USA, September 12–15, 2010
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-4418-2 | eISBN: 978-0-7918-3884-6
  • Copyright © 2010 by ASME

abstract

Extensive research has been done on the centralized building energy system modeling and simulation. However the centralized structure is limited to study and simulate the energy interaction between different buildings at different locations. This paper reviews the building energy consumption model, energy storage system and energy generation system in the Net-zero buildings. Incorporate with the real-time price rate model, this paper develops an agent based simulation framework for distributed building energy system under uncertainty. Each sub system is developed as an agent in the simulation model, and a virtual decision agent is designed to simulate the operation strategy. The energy flow between different agents can be easily monitored from the simulation. The differences between on-peak and off-peak control are demonstrated from the simulation result.

Copyright © 2010 by ASME
Topics: Simulation , Modeling

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