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Energies
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Building Energy Management Technologies and Thermal Modeling
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Building Energy Management Technologies and Thermal Modeling

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G: Energy and Buildings".

Deadline for manuscript submissions: closed (16 November 2021) | Viewed by 5544

Special Issue Editors

Dr. Borui Cui

E-Mail Website
Guest Editor
Energy Science and Technology Directorate, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
Interests: dynamic modelling and optimal control of air-conditioning systems; building demand management for smart grid applications; optimal control and design of thermal storage systems in buildings
Special Issues, Collections and Topics in MDPI journals
Dr. Ning Mao

E-Mail Website
Guest Editor
1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
2. College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao, China
Interests: building thermal environment and energy saving; energy recovery of heat pump system; building environment simulation; liquid film flow and heat transfer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the increasing prevalence of advanced metering infrastructure, Internet of Things (IoT) and automation technologies, distributed energy resources—especially for buildings—have been significantly driven to operate from passive energy consumers to proactive energy and power prosumers (producers-and-consumers). Building energy and demand management has been proposed for building peak power and energy reduction as well as reliable operation of the electric grid. Within the building sector, multiple systems, e.g., solar energy, HVAC and thermal storage, have been applied and integrated to provide load shifting and demand response (DR). Furthermore, the performance of the above techniques relies heavily on thermal modeling work, which characterizes the properties of the building envelope and facilities.

This Special Issue aims to solicit the latest and original contributions on a wide range of building energy management technologies and thermal modeling, including building and HVAC system simulation, envelope design and modeling, optimal design and control of energy systems in building, innovative building energy management algorithms, etc.

Topics of interest for publication include but are not limited to:

  • Building and HVAC system simulation;
  • Building envelope design and modeling;
  • Building indoor thermal comfort;
  • Modeling and control of active and passive energy storage systems;
  • Application and operation of renewable energy;
  • Grid-interactive efficient buildings;
  • Integrated energy system in buildings;
  • Application of IoT and/or AI for building system;
  • Building energy retrofit;
  • Occupancy prediction.

Dr. Borui Cui
Dr. Ning Mao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Thermal modeling
  • Building envelope
  • HVAC control
  • Building retrofit
  • Internet of Things
  • Indoor thermal comfort
  • Machine learning
  • Building-to-Grid

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Published Papers (2 papers)

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Research

17 pages, 5226 KiB  
Article
Thermal Fluxes and Solar Energy Storage in a Massive Brick Wall in Natural Conditions
by Mariusz Owczarek
Energies 2021, 14(23), 8093; https://doi.org/10.3390/en14238093 - 3 Dec 2021
Cited by 7 | Viewed by 2371
Abstract
The thermal state of building elements is a combination of steady and transient states. Changes in temperature and energy streams in the wall of the building in the transient state are particularly intense in its outer layer. The factors causing them are solar [...] Read more.
The thermal state of building elements is a combination of steady and transient states. Changes in temperature and energy streams in the wall of the building in the transient state are particularly intense in its outer layer. The factors causing them are solar radiation, ambient temperature and long-wave radiation. Due to the greater variability of these factors during the summer, the importance of the transient state increases at this time. The study analysed heat transfer in three aspects, temperatures in the outer, middle and inner parts of the wall, heat fluxes between these layers and absorption of solar energy, heat transfer coefficient on the wall exterior was also calculated. The analysis is based on temperature measurements at several depths in the wall and measurements of solar radiation. The subject of research is a solid brick wall. The results show that the characteristics of heat flow in winter and summer for the local climate show distinct differences. In the winter, the maximum temperature difference between the external and internal surface of the wall was 10 °C and in summer, 20 °C. In the winter, the negative flux on the internal surface reached 10 W/m2 and on the external 40 W/m2 and was constant throughout the day. The mean heat transfer coefficient on the exterior surface for winter week was 8 W/(mK). A Nusselt and Biot number for dimensionless convection analysis was calculated. The research contributes to the calculation of the variability of heat or cold demand in a daily period and to learn about the processes of energy storage in the wall using sensible heat. Full article
(This article belongs to the Special Issue Building Energy Management Technologies and Thermal Modeling)
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19 pages, 13008 KiB  
Article
Prediction and Evaluation of Dynamic Variations of the Thermal Environment in an Air-Conditioned Room Using Collaborative Simulation Method
by Lin He, Shunan Zhao, Guowen Xu, Xin Wu, Junlong Xie and Shanshan Cai
Energies 2021, 14(17), 5378; https://doi.org/10.3390/en14175378 - 30 Aug 2021
Cited by 4 | Viewed by 2093
Abstract
In this study, a collaborative simulation method is proposed to predict dynamic variations of the thermal environment in an air-conditioned room. The room thermal environment was predicted and analyzed by varying the structural and control parameters of the air conditioner considering the dynamic [...] Read more.
In this study, a collaborative simulation method is proposed to predict dynamic variations of the thermal environment in an air-conditioned room. The room thermal environment was predicted and analyzed by varying the structural and control parameters of the air conditioner considering the dynamic coupling effect. Connections and regularities were established between the applicable parameters and evaluation indices of the thermal environment. The simulation results demonstrated the interactions among the system structural parameters, control parameters, and the thermal environment. Within a certain parameter range, the evaporator structure exhibited a significant effect on temperature uniformity and vertical air temperature difference, followed by predicted mean vote (PMV) and draught rate (DR). The associated evaluation indices were sensitive to fin spacing, tube spacing, and tube outer diameter, in the same order, which were structural parameters of the evaporator. The effect of the air supply angle on the vertical air temperature difference was evident; however, its influence on the PMV, DR, and temperature uniformity did not indicate consistent variations. Full article
(This article belongs to the Special Issue Building Energy Management Technologies and Thermal Modeling)
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