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Inventions
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Internet of Things Solutions for Intelligent Management and Control of...
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Internet of Things Solutions for Intelligent Management and Control of Buildings

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Design, Modeling and Computing Methods".

Deadline for manuscript submissions: closed (31 May 2019) | Viewed by 7195

Special Issue Editor

Prof. Dr. Antonio Ruano

E-Mail Website
Guest Editor
Faculty of Science & Technology, University of Algarve, Campus de Gambelas, 8005-139 Faro, Portugal
Interests: computational intelligence; intelligent control; energy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Intelligent Management and Control of Buildings are central issues in the development of smart homes, buildings and cities.

The most immediate objective is the minimization of the energy required to maintain a desired comfort level for the occupants, the perception of comfort being related to several environmental factors, such as lighting, temperature and air quality.

For an integrated solution, this is not enough. Depending on the building type and its use (residential, administrative and industrial buildings, schools, hospitals, department stores, cultural and entertainment facilities, etc.), elevator control, monitoring and control of the consumption of water and/or gas (not only electricity), electric vehicle charging, etc., should also be considered. For elderly people, safety in homes is an issue as important as comfort.

The Internet of Things enables to connect numerous heterogeneous devices through the internet, for which it needs a flexible layered architecture where the things, the people and the cloud services are combined to facilitate an application task. This Special Issue is focused on Internet of Things solutions for intelligent integrated building control

Prof. Dr. Antonio Ruano
Guest Editor

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Keywords

  • HVAC, air quality and lighting control (predictive, optimal, stochastic, distributed)
  • Centralized and Distributed Building Management Systems
  • Remote data acquisition, control and servicing
  • Smart meters, smart sensors, smart home appliances, home/buildings area networks
  • Non-intrusive load monitoring and occupant activity monitoring
  • Incorporation of renewable energy sources in buildings
  • Advanced elevator control
  • Electric vehicle charging methods for smart homes/buildings
  • From smart buildings to smart cities

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Published Papers (1 paper)

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Research

25 pages, 4306 KiB  
Article
HVAC Systems Applied in University Buildings with Control Based on PMV and aPMV Indexes
by Eusébio Z. E. Conceição, António F. M. Sousa, João M. M. Gomes and António E. Ruano
Inventions 2019, 4(1), 3; https://doi.org/10.3390/inventions4010003 - 15 Jan 2019
Cited by 8 | Viewed by 6676
Abstract
In this work, HVAC (Heating, Ventilation and Air Conditioning) systems applied in university buildings with control based on PMV (Predicted Mean Vote) and aPMV (adaptive Predicted Mean Vote) indexes are discussed. The building’s thermal behavior with complex topology, in transient thermal conditions, for [...] Read more.
In this work, HVAC (Heating, Ventilation and Air Conditioning) systems applied in university buildings with control based on PMV (Predicted Mean Vote) and aPMV (adaptive Predicted Mean Vote) indexes are discussed. The building’s thermal behavior with complex topology, in transient thermal conditions, for summer and winter conditions is simulated by software. The university building is divided into 124 spaces, on two levels with an area of 5931 m2, and is composed of 201 transparent surfaces and 1740 opaque surfaces. There are 86 compartments equipped with HVAC systems. The simulation considers the actual occupation and ventilation cycles, the external environmental variables, the internal HVAC system and the occupants’ and building’s characteristics. In this work, a new HVAC control system, designed to simultaneously obtain better occupants’ thermal comfort levels according to category C of ISO 7730 with less energy consumption, is presented. This new HVAC system with aPMV index control is numerically implemented, and its performance is compared with the performance of the same HVAC system with the usual PMV index control. Both HVAC control systems turn on only when the PMV index or the aPMV index reaches values below −0.7, in winter conditions, and when the PMV index or the aPMV index reaches values above +0.7, in summer conditions. In accordance with the results obtained, the HVAC system guarantees negative PMV and aPMV indexes in winter conditions and positive PMV and aPMV indexes in summer conditions. The energy consumption level is higher in winter conditions than in summer conditions for compartments with shading, and it is lower in winter conditions than in summer conditions for compartments exposed to direct solar radiation. The consumption level is higher using the PMV control than with the aPMV control. Air temperature, in accordance with Portuguese standards, is higher than 20 °C in winter conditions and lower than 27 °C in summer conditions. In Mediterranean climates, the HVAC systems with aPMV control provide better occupants’ thermal comfort levels and less energy consumption than the HVAC system with PMV control. Full article
(This article belongs to the Special Issue Internet of Things Solutions for Intelligent Management and Control of Buildings)
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