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AN AGENT BASED SIMULATION FOR BUILDING ENERGY SYSTEM MODELING
Conference proceeding

AN AGENT BASED SIMULATION FOR BUILDING ENERGY SYSTEM MODELING

Mengqi Hu, Jin Wen, Fan Li, Moeed Haghnevis, Yasaman Khodadadegan, Luis Mejia Sanchez, Shanshan Wang, Xiaotian Zhuang, Teresa Wu and ASME
PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE 2010, VOL 2, v 2
01 Jan 2010

Abstract

Automation & Control Systems Engineering Engineering, Multidisciplinary Science & Technology Technology
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.

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3 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#7 Affordable and Clean Energy

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Web of Science research areas
Automation & Control Systems
Engineering, Multidisciplinary
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