Optimization and Design of Heating and Cooling Systems

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 1409

Special Issue Editors

Department of Energy and Process Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway
Interests: building energy system; heat pump; optimal design; optimal control; solar energy

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Guest Editor
Life Cycle Management Laboratory, School of Engineering, University of British Columbia (Okanagan Campus), Kelowna, BC V1V 1V7, Canada
Interests: intelligent building and building integration technology; design and simulation of energy management systems; advanced control for HVAC application; BIM
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Special Issue Information

Dear Colleagues,

Improving the performance of building energy systems is a major concern for governments, industries, and scholars. However, investigations on the optimization and design of heating and cooling systems still lack maturity for practical implementation. Studies on the optimization and design of building energy systems aim to enhance heating and cooling systems’ energy, economic, and environmental performance by using advanced optimal design and control methods. One typical system is the heating, ventilation, air-conditioning (i.e., HVAC) system, which has attracted the attention of scholars. In addition, heating systems using heat pump and solar energy technologies are popular.

This Special Issue on “Optimization and Design of Heating and Cooling System” aims to address recent advances in the aspects of optimization and design of heating and cooling systems, such as optimal design and control approaches for HVAC, heat pump, and solar energy applications.

Topics include but are not limited to:

  • Building, environmental, and human behavioural sciences;
  • Optimal use of energy resources, analysis and optimization of building energy systems, mitigation of environmental pollutants, and sustainable building energy systems;
  • Digitalization and digital twins for modern building-integrated energy systems;
  • Modeling and forecasting building energy, conservation strategies, and the environmental, social, and economic impacts of energy policies and usage, including climate change mitigation and other environmental pollution reduction;
  • Heat pump and solar energy applications.

Dr. Yantong Li
Dr. Syed Asad Hussain
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. Processes is an international peer-reviewed open access monthly 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 2400 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

  • optimization
  • design
  • cooling system
  • heating system
  • building technology
  • energy management system
  • heat pump
  • advanced control
  • HVAC application
  • BIM
  • solar energy

Published Papers (1 paper)

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Research

12 pages, 4400 KiB  
Article
Precision Calorimeter Model Development: Generative Design Approach
by Tatiana A. Andreeva, Nikolay Yu. Bykov, Tatiana A. Kompan, Valentin I. Kulagin, Alexander Ya. Lukin and Viktoriya V. Vlasova
Processes 2023, 11(1), 152; https://doi.org/10.3390/pr11010152 - 04 Jan 2023
Viewed by 994
Abstract
In a wide range of applications, heating or cooling systems provide not only temperature changes, but also small temperature gradients in a sample or industrial facility. Although a conventional proportional-integral-derivative (PID) controller usually solves the problem, it is not optimal because it does [...] Read more.
In a wide range of applications, heating or cooling systems provide not only temperature changes, but also small temperature gradients in a sample or industrial facility. Although a conventional proportional-integral-derivative (PID) controller usually solves the problem, it is not optimal because it does not use information about the main sources of change—the current power of the heater or cooler. The quality of control can be significantly improved by including a model of thermal processes in the control algorithm. Although the temperature distribution in the device can be calculated from a full-fledged 3D model based on partial differential equations, this approach has at least two drawbacks: the presence of many difficult-to-determine parameters and excessive complexity for control tasks. The development of a simplified mathematical model, free from these shortcomings, makes it possible to significantly improve the quality of control. The development of such a model using generative design techniques is considered as an example for a precision adiabatic calorimeter designed to measure the specific heat capacity of solids. The proposed approach, which preserves the physical meaning of the equations, allows for not only significantly improving the consistency between the calculation and experimental data, but also improving the understanding of real processes in the installation. Full article
(This article belongs to the Special Issue Optimization and Design of Heating and Cooling Systems)
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