A Review of Mathematical Models of Building Physics and Energy Technologies for Environmentally Friendly Integrated Energy Management Systems

Abstract

The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the building performance. In the state-of-the-art, building performance analysis is separated into building simulation and control management: this may cause inaccuracies and extra operating time. Thus, a coherent framework to integrate building physics with various energy technologies and energy control management methods is highly required. This framework should be formed by simplified but accurate models of building physics and building energy technologies, and should allow for the selection of proper control strategies according to the control objectives and scenarios. Therefore, this paper reviews the fundamental mathematical modeling and control strategies to create such a framework. The mathematical models of (i) building physics and (ii) popular building energy technologies (renewable energy systems, common heating and cooling energy systems and energy distribution systems) are first presented. Then, it is shown how the collected mathematical models can be linked. Merging with two frequently used EMS strategies, namely rule-based and model predictive controls, is discussed. This work provides an extendable map to model and control buildings and intends to be a foundation for building researchers, designers and engineers.

Resilience-Oriented Planning of Urban Distribution System Source–Network–Load–Storage in the Context of High-Penetrated Building-Integrated Resources

“…These models are often too large and complex and can only be used offline due to their being computationally intractable. Based on the lumped parameter method, R-C models can overcome the above shortages so that analytical optimization can be applied [5]. Based on the R-C thermodynamic model, a robust model predictive control is proposed in [6] to participate in the ancillary market.…”

“…Suppose lines (4-5, 9-10, 12-13) of the network are originally equipped with RCSs. Candidate nodes for the BIWT, BIPV, SVG, and ESS installation are designated as (13,16,22,24,47), (5,10,30,42,47), (20,32,43,49), and (17,31,35,45). Lines with SOPs are (2-8, 6-28, 10-15, 30-43, 33-39, 46-47, [22][23].…”

Energy Management in Buildings: Lessons Learnt for Modeling and Advanced Control Design

“…In particular, in Section 5. For more case studies you may refer to (Dong et al, 2013;Lin and Yang, 2018;Zhang et al, 2022).…”

Algorithmic Generation of Building Typology for Office Building Design

“…There are also examples of the development of the indoor temperature setpoint control method for air conditioning [35]. Also to be found is a review of mathematical models of building physics and energy technology related to the Energy Management System (EMS), which provides an extendable map for building modeling and control [36]. Occupancy-centered local control strategies in buildings, in addition to achieving user-friendly comfort results, can also avoid overcooling of buildings and thus reduce energy consumption [37].…”