Special Issue "Modelling and Control of Heating, Ventilation, Air Conditioning and Refrigeration (HVAC&R) Systems"
Deadline for manuscript submissions: closed (10 March 2021) | Viewed by 8025
Interests: modelling, identification, simulation, and control applications; energy systems; mechatronic systems; manufacturing processes and systems; automotive systems; HVAC&R systems.
Interests: modelling, identification, and control applications; HVAC&R systems; Nature-Inspired Optimization Algorithms; Machine Learning applications.
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The Guest Editors are inviting submissions to a Special Issue of Energies on the subject area of “Modelling and Control of Heating, Ventilation, Air Conditioning, and Refrigeration (HVAC&R) Systems”. HVAC&R systems consume large amounts of energy and, not infrequently, their inefficient operation translates into poor performance and brings to an increasing environmental impact in terms of Greenhouse Gas (GHG) emissions. Indeed, HVAC&R systems inherent complexity together with non-stationary plant operating conditions and complex patterns of user demand, and their intrinsically non-linear characteristics, make the efficient operation of this kind of systems a difficult task. Besides the traditional approach, which improves the energy efficiency of HVAC&R systems through advanced hardware design, nowadays advanced control systems can improve both system efficiency and performance by mostly acting on software components, taking advantage of the recent developments of digital technologies.
The aim of this Special Issue is to collect contributions on recent advances in the field of modelling and control of HVAC&R systems. Topics of interest for publication include, but are not limited to:
- Modelling and simulation of HVAC&R systems;
- Advanced control of HVAC&R systems;
- Building Energy Management System (BEMS);
- Commercial and Transport Refrigeration control applications;
- Optimization and management of HVAC&R systems;
- Fault detection, diagnosis, and predictive maintenance of HVAC&R systems;
- Machine Learning in HVAC&R control applications;
- Intelligent control of HVAC&R systems;
- IoT for Smart HVAC Control;
- Control of HVAC&R systems for Industry 4.0 applications.
Prof. Dr. Alessandro Beghi
Dr. Mirco Rampazzo
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 2200 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.
- HVAC&R systems
- Control Methods
- Intelligent Control
- Machine Learning
- Optimization Techniques
- Fault Detection
- Predictive Maintenance
- Industry 4.0