2022
DOI: 10.3390/buildings12020238
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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… Show more

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Cited by 15 publications
(10 citation statements)
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References 204 publications
(272 reference statements)
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“…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.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…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.…”
Section: Literature Reviewmentioning
confidence: 99%
“…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].…”
Section: Case Study 41 Base Datamentioning
confidence: 99%
“…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).…”
Section: Building Modeling For Energy Efficiency Applicationsmentioning
confidence: 99%
“…However, even though PV power is the most widely used renewable energy source in residential, commercial, and industrial fields [11][12][13][14][15], PV power output is typically intermittent owing to its dependence on various environmental factors, such as solar irradiance, PV module surface temperature, and sky conditions, which result in unstable power production. Therefore, accurate forecasting of PV power output based on this is essential for managing an hourly electricity balance in grid-connected BIPV (Building-Integrated Photovoltaic) systems [16][17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%