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 onpeak and off-peak control are demonstrated from the simulation result.
| Original language | English (US) |
|---|---|
| Title of host publication | ASME 2010 Dynamic Systems and Control Conference, DSCC2010 |
| Pages | 247-254 |
| Number of pages | 8 |
| DOIs | |
| State | Published - 2010 |
| Event | ASME 2010 Dynamic Systems and Control Conference, DSCC2010 - Cambridge, MA, United States Duration: Sep 12 2010 → Sep 15 2010 |
Publication series
| Name | ASME 2010 Dynamic Systems and Control Conference, DSCC2010 |
|---|---|
| Volume | 2 |
Other
| Other | ASME 2010 Dynamic Systems and Control Conference, DSCC2010 |
|---|---|
| Country/Territory | United States |
| City | Cambridge, MA |
| Period | 9/12/10 → 9/15/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
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