Adaptive Energy Optimization Toward Net-Zero Energy Building Clusters

Author:

Odonkor Philip1,Lewis Kemper2,Wen Jin3,Wu Teresa45

Affiliation:

1. Department of Mechanical and Aerospace Engineering, University at Buffalo—SUNY, Buffalo, NY 14260 e-mail:

2. Professor Department of Mechanical and Aerospace Engineering, University at Buffalo—SUNY, Buffalo, NY 14260 e-mail:

3. Associate Professor Civil, Architectural, and Environmental Engineering Department, Drexel University, Philadelphia, PA 19104 e-mail:

4. Professor School of Computing, Informatics, Decision Systems Engineering, Arizona State University,

5. Tempe, AZ 85287-5906 e-mail:

Abstract

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.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

Reference47 articles.

1. Buildings Energy Data Book;U.S. Department of Energy,2012

2. A Roadmap Towards Intelligent Net Zero- and Positive-Energy Buildings;Sol. Energy,2011

3. Zero Energy Buildings: A Critical Look at the Definition,2006

4. From Low-Energy to Net Zero-Energy Buildings: Status and Perspectives;J. Green Build.,2011

5. Zero Energy Building—A Review of Definitions and Calculation Methodologies;Energy Build.,2011

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