Publications
2017
Li, Xiwang; Wen, Jin
Net-zero energy building clusters emulator for energy planning and operation evaluation Journal Article
In: Computers, Environment and Urban Systems, vol. 62, pp. 168-181, 2017, ISSN: 0198-9715.
Abstract | Links | BibTeX | Tags: Co-simulation, Distributed energy systems, Net-zero building cluster, Net-zero buildings, Smart grids
@article{LI2017168,
title = {Net-zero energy building clusters emulator for energy planning and operation evaluation},
author = {Xiwang Li and Jin Wen},
url = {https://www.sciencedirect.com/science/article/pii/S0198971516302678},
doi = {https://doi.org/10.1016/j.compenvurbsys.2016.09.007},
issn = {0198-9715},
year = {2017},
date = {2017-01-01},
journal = {Computers, Environment and Urban Systems},
volume = {62},
pages = {168-181},
abstract = {The emergence of smart grids, Net-zero energy buildings, and advanced building energy demand response technologies continuously drives the needs for better design and operation strategies for buildings and distributed energy systems. It is envisioned that similar to micro-communities in a human society, neighboring buildings will have the tendency to form a building cluster, an open cyber-physical system to exploit the economic opportunities provided by smart grids and distributed energy systems. To realize this building cluster envision, it requires better urban energy planning and operation control strategies to determine which type of buildings should be clustered and what operation strategies should be implemented to fully utilize the potential in load aggregation, load shifting, and resource allocation. However, most of the current tools are focusing on single buildings or devices, which are not suitable for building cluster studies. To this end, this study proposes to develop a Net-zero building cluster emulator that can simulate realistic energy behaviors of a cluster of buildings and their distributed energy devices as well as exchange operation data and control schemes with real-world building control systems. The developed emulator has the flexibility to integrate with different buildings and distributed energy systems to study the performance of this building cluster to propose suggestions in urban energy planning and operation. To show the application of this emulator, a proof-of-concept demonstration is also presented in this paper.},
keywords = {Co-simulation, Distributed energy systems, Net-zero building cluster, Net-zero buildings, Smart grids},
pubstate = {published},
tppubtype = {article}
}
The emergence of smart grids, Net-zero energy buildings, and advanced building energy demand response technologies continuously drives the needs for better design and operation strategies for buildings and distributed energy systems. It is envisioned that similar to micro-communities in a human society, neighboring buildings will have the tendency to form a building cluster, an open cyber-physical system to exploit the economic opportunities provided by smart grids and distributed energy systems. To realize this building cluster envision, it requires better urban energy planning and operation control strategies to determine which type of buildings should be clustered and what operation strategies should be implemented to fully utilize the potential in load aggregation, load shifting, and resource allocation. However, most of the current tools are focusing on single buildings or devices, which are not suitable for building cluster studies. To this end, this study proposes to develop a Net-zero building cluster emulator that can simulate realistic energy behaviors of a cluster of buildings and their distributed energy devices as well as exchange operation data and control schemes with real-world building control systems. The developed emulator has the flexibility to integrate with different buildings and distributed energy systems to study the performance of this building cluster to propose suggestions in urban energy planning and operation. To show the application of this emulator, a proof-of-concept demonstration is also presented in this paper.