Literature DB >> 34243491

Embedded heating, ventilation, and air-conditioning control systems: From traditional technologies toward radar advanced sensing.

Emanuele Cardillo1, Changzhi Li2, Alina Caddemi1.   

Abstract

This paper comprehensively reviews the state of the art of Heating, Ventilation, and Air-Conditioning (HVAC) control sensing. The topic has broad impacts on society, by affecting energy consumption, Earth's climate, and the environmental health. Great effort was taken by researchers to study and test new technologies and methodologies for improving HVAC energy efficiency, but this large amount of works is often fragmentary, and a complete and recent review paper does not yet exist. This paper aims at filling this gap by clarifying the key points of HVAC sensing, the main technologies, and their pros and cons. The advancement in this sector is fueled by the premium performance of the embedded systems exploited as sensors and their beneficial features. The state of the art of the available solutions has been summarized with the purpose of fueling and better organizing the research effort on this hot topic. Particular attention has been paid to investigate not only the performance and reliability of the current systems but also the advanced features that can be provided by the newly evolved and complex technologies, e.g., the radar technology that has been identified as the emerging one in this field.

Year:  2021        PMID: 34243491     DOI: 10.1063/5.0044673

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  3 in total

1.  Deep Learning-Based Device-Free Localization Scheme for Simultaneous Estimation of Indoor Location and Posture Using FMCW Radars.

Authors:  Jeongpyo Lee; Kyungeun Park; Youngok Kim
Journal:  Sensors (Basel)       Date:  2022-06-12       Impact factor: 3.847

2.  Decision Support System to Classify and Optimize the Energy Efficiency in Smart Buildings: A Data Analytics Approach.

Authors:  Manuel Peña; Félix Biscarri; Enrique Personal; Carlos León
Journal:  Sensors (Basel)       Date:  2022-02-11       Impact factor: 3.576

3.  Design and Development of Internet of Things-Driven Fault Detection of Indoor Thermal Comfort: HVAC System Problems Case Study.

Authors:  Bukhoree Sahoh; Mallika Kliangkhlao; Nichnan Kittiphattanabawon
Journal:  Sensors (Basel)       Date:  2022-03-01       Impact factor: 3.576

  3 in total

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