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Keywords = designing and building sector remote work

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25 pages, 1635 KB  
Article
Digitization in the Design and Construction Industry—Remote Work in the Context of Sustainability: A Study from Poland
by Bartosz Orzeł and Radosław Wolniak
Sustainability 2022, 14(3), 1332; https://doi.org/10.3390/su14031332 - 25 Jan 2022
Cited by 43 | Viewed by 11153
Abstract
The article presents the results of research on the digitization of services provided by the design industry in the context of the implementation of sustainable development goals, especially environmental sustainability. First, a literature review has been done. These research goals were established in [...] Read more.
The article presents the results of research on the digitization of services provided by the design industry in the context of the implementation of sustainable development goals, especially environmental sustainability. First, a literature review has been done. These research goals were established in the publication: investigating the impact of remote work on the implementation of sustainable development goals (in particular, environmental), examining the essence of better perception of remote work and digitization of the design process by employees of the design and construction industry, and examining barriers and factors favoring the digitization of the design and construction industry in Poland. Both a survey and interviews were carried out. To analyze data obtained from the interviews, the Colaizzi’s methodology was performed. The data obtained as a result of the survey were subjected to a statistical analysis using a cluster analysis (Ward’s method). Groups (clusters) of strong and weak barriers, supporting factors, and sustainability factors were defined. The COVID-19 pandemic has perpetuated the digitization trend in this industry. Employees and owners of project offices prefer remote work due to the flexibility of working time, time savings, work comfort, safety, and savings. Industry employees recognize the advantages and benefits of remote work in terms of environmental sustainability. The environmental impact in the form in the reduction of electricity consumption by large office buildings and reduction of the emission of harmful substances contained in car exhaust fumes are the most frequently mentioned environmental advantages. The biggest barriers are legal aspects, and sometimes difficult cooperation with a client. The research results presented in this publication, as well as the methodology adopted, are a contribution to the literature on the perception and comfort of remote work, the social effects of the COVID-19 pandemic, and environmental sustainability. Full article
(This article belongs to the Special Issue Economic and Social Consequences of the COVID-19 Pandemic)
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19 pages, 1582 KB  
Perspective
Visualizing a New Sustainable World: Toward the Next Generation of Virtual Reality in the Built Environment
by Dragana Nikolić and Jennifer Whyte
Buildings 2021, 11(11), 546; https://doi.org/10.3390/buildings11110546 - 16 Nov 2021
Cited by 26 | Viewed by 5558
Abstract
What is the future of virtual reality (VR) in the built environment? As work becomes increasingly distributed across remote and hybrid forms of organizing as a result of the COVID-19 pandemic, there is a need to rethink how we use the set of [...] Read more.
What is the future of virtual reality (VR) in the built environment? As work becomes increasingly distributed across remote and hybrid forms of organizing as a result of the COVID-19 pandemic, there is a need to rethink how we use the set of collaborative technologies to move toward a sustainable world. We propose a new vision of VR as a discipline-agnostic platform for an interdisciplinary integration of the allied design, social, and environmental disciplines to address emerging challenges across the building sectors. We build this contribution through the following steps. First, we contextualize VR technologies within the changing digital landscape and underlying tensions in the built environment practices. Second, we characterize the difficulties that have arisen in using them to address challenges, illustrating our argument with leading examples. Third, we conceptualize VR configurations and explore underlying assumptions for their use across disciplinary scenarios. Fourth, we propose a vision of VR as a discipline-agnostic platform that can support built environment users in visualizing preferred futures. We conclude by providing directions for research and practice. Full article
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24 pages, 6264 KB  
Article
Building Energy Performance Analysis after Changing Its Form of Use from an Office to a Residential Building
by Przemysław Markiewicz-Zahorski, Joanna Rucińska, Małgorzata Fedorczak-Cisak and Michał Zielina
Energies 2021, 14(3), 564; https://doi.org/10.3390/en14030564 - 22 Jan 2021
Cited by 8 | Viewed by 3163
Abstract
Lowering energy consumption is one of the most important challenges of the modern world. Since the construction sector accounts for 40% of total energy consumption worldwide, the Parliament of the European Union has developed a Directive, according to which all newly designed and [...] Read more.
Lowering energy consumption is one of the most important challenges of the modern world. Since the construction sector accounts for 40% of total energy consumption worldwide, the Parliament of the European Union has developed a Directive, according to which all newly designed and thermally upgraded buildings should meet the requirements of almost zero energy demand (nZEBs) from 1 January 2021. At the same time, in Poland, but also in many other countries in the world, there is a growing oversupply of office space in large cities with a simultaneous increase in demand for apartments, which is caused, among other things, by the increase in the share of remote work and the COVID-19 pandemic. Consequently, this is forcing owners to change the use of buildings from office to residential. This article analyses the possibilities of changing the function of an office building to a multi-family residential building. For both functional solutions, a comparative energy analysis was carried out, taking into account different work schedules and the requirements for new buildings with zero energy demand. The analyses have shown that changing the form of use of an office building to a multi-family building without significant financial and technical costs is possible. On the other hand, the reverse change of the form of use is much more difficult and, in many cases, practically impossible. Due to the fact that many offices are now multinational corporations, this issue is global. Full article
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20 pages, 3589 KB  
Article
A Cognitive-Driven Building Renovation for Improving Energy Efficiency: The Experience of the ELISIR Project
by Stefano Rinaldi, Paolo Bellagente, Angelo Luigi Camillo Ciribini, Lavinia Chiara Tagliabue, Tiziana Poli, Andrea Giovanni Mainini, Alberto Speroni, Juan Diego Blanco Cadena and Sonia Lupica Spagnolo
Electronics 2020, 9(4), 666; https://doi.org/10.3390/electronics9040666 - 20 Apr 2020
Cited by 26 | Viewed by 4553
Abstract
In the last few years, the technology re-evolution has deeply transformed several aspects of everyday life. For sure, one technology with a strong impact is the so-called Internet of Things (IoT). The IoT paradigm made it possible to break down the data barrier [...] Read more.
In the last few years, the technology re-evolution has deeply transformed several aspects of everyday life. For sure, one technology with a strong impact is the so-called Internet of Things (IoT). The IoT paradigm made it possible to break down the data barrier between the vertical domains on which the traditional information and communication technology (ICT) world was organized. Recently, the designers of home automation systems have begun looking to the IoT paradigm to ease the deployment of systems that are able to collect data from different plants. Such a situation has driven further evolution from the traditional automation system, where logic is defined by the programmer or by the user, to a cognitive system that is able to learn from the user’ habits regarding what should be the best configuration of plants. Several countries are funding renovations of public and private buildings for improving energy efficiency. Generally, such renovations are only focusing on the structure of the building and of its energy performance (e.g., the thermal envelope, window units, air-conditioning plants, and renewable generators) and largely ignoring the use of intelligent devices. On the contrary, scientific literature and practice have demonstrated that the wider use of IoT sensors, as well as distributed and remote intelligence, is fundamental to optimize energy consumption. This research work aimed to identify issues due the application of cognitive solutions during the renovation phase of buildings. In particular, the paper presents a cognitive architecture to support the operation and management phases of buildings, thanks to the massive digitalization of the entire supply chain of the construction sector from the single building element to the entire construction process. Such an architecture is capable of combining data from the IoT sensors and actuators of smart objects installed during the renovation phase, as well as legacy building automation systems. As an indication of the capability of the proposed solution, an intelligent window device was developed and validated. Within the Energy, Life Styled, and Seismic Innovation for Regenerated Buildings (ELISIR) project, window units are equipped with sensors to monitor indoor and outdoor condition behaviours of users. In addition, windows are able to react to changes in the environment by means of actuators that enable motorized opening and shading. Thanks to the cognitive layer designed in the project, the window is able to automatically define the best rules for opening and shading by using the local controller to satisfy user’s habits and energy efficiency targets. The cognitive layer defines the appropriate rules for opening and shading using the decision tree algorithm applied to the data generated by the sensors in order to infer users’ preferences. For this research, two prototypes of the window units were installed in two offices of Politecnico di Milano, Italy. The accuracy of this algorithm to classify the users’ behaviour and preferences was found to be around 90%, considering an observation interval of two months. Full article
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