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Cities and Buildings as Drivers for Climate Change Adaptation and...
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Cities and Buildings as Drivers for Climate Change Adaptation and Mitigation: New Models and Computational Tools

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Architectural Design, Urban Science, and Real Estate".

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 6076

Special Issue Editors

Dr. Miguel Amado

E-Mail Website
Guest Editor
CITUA—Centre for the Innovation in Territory, Urbanism and Architecture, Instituto Superior Tecnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal
Interests: architecture; urban planning; sustainable development; energy efficience; smart cities; nature-based solutions
Special Issues, Collections and Topics in MDPI journals
Dr. Francesca Poggi

E-Mail Website
Guest Editor
CISCNOVA—Interdisciplinary Center Of Social Science, NOVA School of Social Sciences and Humanities, Universidade Nova de Lisboa, 1069-061 Lisbon, Portugal
Interests: bioclimatic design; net-zero buildings; net-zero energy municipalities; smart rural; GIS and BIM
Special Issues, Collections and Topics in MDPI journals
Dr. António Ribeiro Amado

E-Mail Website
Guest Editor
CIAUD—Research Centre for Architecture, Urbanism and Design, Universidade de Lisboa, Lisbon, Portugal
Interests: urban planning; climate changes; monitoring of territorial dynamics; smart cities; housing policies

Special Issue Information

Dear Colleagues,

This Special Issue proposal focuses on advanced research concerning different models and computational tools that can support decision-making to plan future cities, design new buildings and adapt existing ones in response to climate change.

The different possible models for planning cities with less energy needs and designing more energy-efficient housing, in parallel with the understanding of how cities will face sea level rise, are some of the main research topics that must be investigated to elaborate faster and more effective responses to climate change adaptation and mitigation on time.

The use of computational tools provides the opportunity to model future scenarios on the impacts of climate change in cities. This approach is core to supporting decision making by anticipating environmental and social responses of buildings and public spaces, thus enabling the elaboration of strategies for compacting cities or expanding them. The revisiting of bioclimatic concepts and models for the construction of a new grammar of form is one of the possible methods that can be applied to the logical understanding that guides the design of spaces and buildings, and that contributes to the emergence of new forms and materials with better performance in a more adaptive design.

In short, interdisciplinary research on the subject is welcome, encompassing the design of buildings and public spaces, the characteristics of new materials that better respond to heat waves and the presence of the dynamic element—water—as a modeller of new spaces and geometrics within the city.

For this Special Issue, we are looking for examples of advanced research using new approaches and methods to develop new ways of designing and building the housing and future city.

Dr. Miguel Amado
Dr. Francesca Poggi
Dr. António Ribeiro Amado
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. Buildings is an international peer-reviewed open access monthly 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 2600 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

  • climate change heat waves
  • housing and new ways of living /working
  • energy efficiency
  • eco-materials
  • spatial analysis of architecture and cities
  • cities morphology

Published Papers (2 papers)

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Research

17 pages, 3227 KiB  
Article
A Comparative Case Study of Certified and Non-Certified Green Buildings and Their Response to Climate Change
by Laura Almeida, Keivan Bamdad and Mohammad Reza Razavi
Buildings 2023, 13(4), 977; https://doi.org/10.3390/buildings13040977 - 06 Apr 2023
Viewed by 2486
Abstract
Green buildings (GBs) employ a wide range of passive and active energy-saving strategies to improve buildings’ energy performance. The suitability and performance of some of these strategies depend on outdoor climate conditions and may change over time due to global warming. Therefore, a [...] Read more.
Green buildings (GBs) employ a wide range of passive and active energy-saving strategies to improve buildings’ energy performance. The suitability and performance of some of these strategies depend on outdoor climate conditions and may change over time due to global warming. Therefore, a GB may not retain its performance in the future. To address this issue and explore how much GB performance may be affected by climate change, this research aims to (1) evaluate the energy performance and thermal comfort of a GB and non-GB under present climate conditions; (2) predict the impact of climate change on these buildings, and (3) evaluate the climate resilience of a GB as opposed to a non-GB. To this end, a university GB and non-GB are simulated using DesignBuilder and calibrated with measured data. Future weather files based on Representative Concentration Pathways (RCPs) are used to predict climate conditions in the 2050s and 2090s. A comparison between the GB and non-GB revealed that the GB would save 15.1% and up to 21.9% of site energy under present and future climate conditions, respectively. It was also found that the thermal comfort level in the GB will remain significantly higher than in the non-GB in the future. The overheating issue in non-GBs will deteriorate in the future, with an increase of nearly 70% by the 2090s. The GB produces approximately 15% and up to 22% fewer GHG emissions than the non-GB under present and future climate conditions (RCP 8.5), respectively. Full article
(This article belongs to the Special Issue Cities and Buildings as Drivers for Climate Change Adaptation and Mitigation: New Models and Computational Tools)
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25 pages, 13806 KiB  
Article
Characteristics of Smart Farms for Architectural Planning and Design
by Donghwa Shon, Eunseok Lee, Yejin Lee, Jieun Lee and Nahyang Byun
Buildings 2023, 13(1), 93; https://doi.org/10.3390/buildings13010093 - 30 Dec 2022
Cited by 3 | Viewed by 2970
Abstract
In the 21st century, humanity is facing unprecedented climate and food crises caused by population growth, urbanization, environmental pollution, and carbon emissions. As a response to the climate and food crisis, the following concept has emerged: smart urban agriculture that can reduce carbon [...] Read more.
In the 21st century, humanity is facing unprecedented climate and food crises caused by population growth, urbanization, environmental pollution, and carbon emissions. As a response to the climate and food crisis, the following concept has emerged: smart urban agriculture that can reduce carbon emissions from buildings and achieve self-sufficiency in food. Various architectural designs that include smart farms are being explored worldwide. Nevertheless, the concept does not seem to have gained sufficient popular traction. This study attempted to materialize the concept by presenting types and characteristics from an architectural planning and design perspective by examining cases of smart farm constructions worldwide. After collecting 171 smart farm cases from around the world and building a database in terms of city, architecture, environment, and crops, the types were classified through SOM analysis, an artificial neural network-based cluster analysis methodology. As a result of the analysis, smart farm types were classified into seven types, and the characteristics of architectural planning and design were extracted for each type. It is meaningful that a specific form was presented so that planning and design can be easily accessed according to the situation placed through the type of smart farm. Full article
(This article belongs to the Special Issue Cities and Buildings as Drivers for Climate Change Adaptation and Mitigation: New Models and Computational Tools)
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