TY - JOUR
T1 - Adaptive Energy Optimization Toward Net-Zero Energy Building Clusters
AU - Odonkor, Philip
AU - Lewis, Kemper
AU - Wen, Jin
AU - Wu, Teresa
N1 - Publisher Copyright:
© 2016 by ASME.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - Traditionally viewed as mere energy consumers, buildings have adapted, capitalizing on smart grid technologies and distributed energy resources to efficiently use and trade energy, as evident in net-zero energy buildings (NZEBs). In this paper, we examine the opportunities presented by applying net-zero to building communities (clusters). This paper makes two main contributions: one, it presents a framework for generating Pareto optimal operational strategies for building clusters; two, it examines the energy tradeoffs resulting from adaptive decisions in response to dynamic operation conditions. Using a building cluster simulator, the proposed approach is shown to adaptively and significantly reduce total energy cost.
AB - Traditionally viewed as mere energy consumers, buildings have adapted, capitalizing on smart grid technologies and distributed energy resources to efficiently use and trade energy, as evident in net-zero energy buildings (NZEBs). In this paper, we examine the opportunities presented by applying net-zero to building communities (clusters). This paper makes two main contributions: one, it presents a framework for generating Pareto optimal operational strategies for building clusters; two, it examines the energy tradeoffs resulting from adaptive decisions in response to dynamic operation conditions. Using a building cluster simulator, the proposed approach is shown to adaptively and significantly reduce total energy cost.
UR - http://www.scopus.com/inward/record.url?scp=84971543847&partnerID=8YFLogxK
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U2 - 10.1115/1.4033395
DO - 10.1115/1.4033395
M3 - Article
AN - SCOPUS:84971543847
SN - 1050-0472
VL - 138
JO - Journal of Mechanical Design
JF - Journal of Mechanical Design
IS - 6
M1 - 061405
ER -