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Intelligent Buildings and Information Technologies. Towards a More Sustainable Construction

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: closed (1 December 2021) | Viewed by 5571

Special Issue Editors


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Guest Editor
Department of Architectural Constructions, University of Alicante, 03690 Alicante, Spain
Interests: energy efficiency; air quality; intelligent buildings
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Architectural Constructions, University of Alicante, San Vicente (Alicante), Spain
Interests: sustainability; energy efficiency
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Computer Science and Artificial Intelligence of the University of Alicante, Spain
Interests: He is a Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante. His research focuses on swarm robotics, mobile robotics and intelligent agents. He participates in several projects related to artificial intelligence, especially in intelligent buildings

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Guest Editor
Building Sciences and Urbanism Department, University of Alicante, 03690 Alicante, Spain
Interests: automation of construction management; lean construction paradigm; building information modelling technology; smart management; distributed sensors, smart sensor networks and internet-of-things in construction sites
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Edition focuses on buildings that integrate new technologies to improve their sustainability conditions, whether they are new or existing buildings. New information technologies and the use of specialized work equipment (multiagent systems, Internet of Things (IoT), intelligent sensors, building information modeling (BIM) models) allow optimizing both construction processes and the costs of the building’s useful life. The monitoring systems make it possible to know the real energy behavior of the building which, after processing and analyzing the data, can establish management guidelines to achieve greater energy efficiency.

Site management processes such as Lean or the BIM methodology allow proactive site management, in addition to facilitating transparency in the process and ubiquity of information. The drones are also elements that are increasingly being introduced in the construction and control processes to simplify construction tasks and have an accurate control of each unit. The 2.0 tools of this new wave of construction allow not only developing the most efficient buildings or those with almost no energy consumption but also saving costs, since they can compare different options of materiality, useful life or labor. These new technologies enable better decisions to reduce environmental impacts and energy consumption in the analysis of the buildings’ full life cycle.

The use of all these tools turns buildings into multiagent systems that can be controlled and optimized from their conception to their complete life cycle, improving energy consumption, impacts, and even improving their habitability by controlling temperatures and ventilation (air quality), among others. This Special Edition aims to compile articles that advance sustainability as a fundamental factor for construction.

References:

Feijó-Muñoz, J.; Pardal, C.; Echarri, V.; Fernández-Agüera, J.; Assiego de Larriva, R.; Montesdeoca Calderín, M.; Poza-Casado, I.; Padilla-Marcos, M.A.; Meiss, A. Energy impact of the air infiltration in residential buildings in the Mediterranean area of Spain and the Canary islands. Energy Build. 2019, 188–189, 226–238.

Echarri Iribarren, V.; Galiano Garrigós, A.L.; González Avilés, A.B. Ceramics and healthy heating and cooling systems: Thermal ceramic panels in buildings. Conditions of comfort and energy demand versus convective systems. Informes de la Construcción 2016, 68, 19–32.

Koller, C.; Talmon-Gros, M.J.; Junge, R.; Schuetze, T. Energy Toolbox—Framework for the Development of a Tool for the Primary Design of Zero Emission Buildings in European and Asian Cities. Sustainability 2017, 9, 2244.

Rizo Maestre, C.; Echarri Iribarren, V. The importance of checking indoor air quality in underground historic buildings intended for tourist use. Sustainability 2019, 11, 689.

Rizo Maestre, C.; Chinchón Yepes, S. Detection and importance of the presence of Radon Gas in buildings. Int. J. Eng. Tech. Res. 2016, 4, 67–70.

Dr. Carlos Rizo-Maestre
Dr. Victor Echarri-Iribarren
Dr. Fidel Aznar-Gregori
Dr. María Dolores Andújar-Montoya
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. Sustainability 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 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

  • BIM
  • energy efficiency
  • lean
  • drone
  • intelligent buildings
  • new technologies
  • life cycle assessment

Published Papers (1 paper)

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Research

14 pages, 394 KiB  
Article
EplusLauncher: An API to Perform Complex EnergyPlus Simulations in MATLAB® and C#
by Germán Campos Gordillo, Germán Ramos Ruiz, Yves Stauffer, Stephan Dasen and Carlos Fernández Bandera
Sustainability 2020, 12(2), 672; https://doi.org/10.3390/su12020672 - 16 Jan 2020
Cited by 4 | Viewed by 4788
Abstract
There is a growing concern about how to mitigate climate change, in which the production and use of energy has a great impact as one of the largest sources of global greenhouse gases (GHG). Buildings are responsible for a large percentage of these [...] Read more.
There is a growing concern about how to mitigate climate change, in which the production and use of energy has a great impact as one of the largest sources of global greenhouse gases (GHG). Buildings are responsible for a large percentage of these emissions. Therefore, there has been an increase in research in this area, in order to reduce their consumption and increase their efficiency. One of the major simulation programs used in optimization research is EnergyPlus. The purpose of this software is the complete energy simulation of a building, although it lacks tools to analyze its results and, above all, to manage and edit its simulations. For this reason, we developed an application programming interface (API) that serves to merge two areas which are highly demanded by researchers: energy building simulation (using EnergyPlus) and tools for the management and design of research experiments (in this case, MATLAB®). The developed API allows the user to perform complex simulations using EnergyPlus in a simple way, as it allows the editing of each simulation and the analysis of the simulation results through MATLAB®. In addition, it enables the user to simultaneously run multiple simulations, using either all computer core processors or a selection of them (i.e., allowing parallel computing), reducing the simulation time. The API was developed in the C# language, such that it can be used with any software that can import . N E T libraries. Full article
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