Grey-box modeling and application for building energy simulations - A critical review. (August 2021)

• Record Type: Journal Article
• Authors: Li, Yanfei; O'Neill, Zheng; Zhang, Liang; Chen, Jianli; Im, Piljae; DeGraw, Jason
• Is Part Of: Renewable & sustainable energy reviews. Volume 146(2021)
• Publication Date: 2021-08
• Subjects: Grey-box modeling -- Resistance-capacitance model -- RC model -- Thermal-network model -- Simplified model -- Reduced-order model -- Hybrid-model -- Building energy model -- Heat dynamic analysis -- Thermal load estimation -- Building control and optimization -- District/urban energy modeling -- Building-grid integration; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2021.111174
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: Grey-box modeling, as one of the three fundamental modeling techniques for building energy models, has many advantages compared with black-box modeling and white-box modeling. It has been widely applied to solve problems of building technologies, such as building load estimation, control and optimization, and building-grid integration. However, a thorough review of grey-box modeling is not available. This review study systematically investigated various aspects of grey-box modeling for buildings. First, the fundamental aspects of grey-box modeling are presented, including the theoretical background, modeling of building elements, modeling order, modeling diagram, and order reduction. Second, the detailed modeling approaches are discussed. Third, multiple applications of grey-box modeling are investigated for building energy domain, which are categorized into the following groups: heat dynamics analysis, thermal load estimation, building control and optimization, district/urban scale energy modeling, and building-grid integration. Finally, the available software packages for grey-box modeling are compared. Overall, the challenges of using grey-box modeling can be summarized as follows: (1) the theoretical limitations and assumptions of grey-box modeling are unclear; (2) grey-box model naming convention and structure are confusing; (3) grey-box model creation is vague; (4) suitable applications of grey-box models are unknown; and (5) grey-box models lack unified software solutions for wider adoption. Highlights: Grey-box modeling has many advantages over white-box and black-box modeling. Naming convention are confusing for grey-box modeling structure, regarding the envelope, zone, or whole building. There are two approaches to create a grey-box model: forward and inverse (data-driven). Grey-box modeling is suitable for other applications, other than thermal load or control. Grey-box modeling has no unified software solution.