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The Future of Buildings: Technological Change to Protect Climate and Wellbeing

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "G: Energy and Buildings".

Deadline for manuscript submissions: 18 April 2024 | Viewed by 2505

Special Issue Editors


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Guest Editor
Department of materials, Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia
Interests: energy efficiency in building; building materials; building; building simulation; energy management; infrared thermography; sustainable architecture; built environment; sustainable construction; green building; building technology; concrete; nondestructive testing; concrete structures; materials for sustainable energy
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Building and Civil Engineering Institute ZRMK, Dimičeva 12, 1000 Ljubljana, Slovenia
2. European Faculty of Law, New University, Delpinova 18b, 5000 Nova Gorica, Slovenia
Interests: sustainable building; sustainability indicators; nearly zero energy buildings (NZEB); zero emission buildings (ZEB); built environment; carbon footprint; energy performance; indoor environment; energy efficiency in buildings; real-estate management; deep renovation

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Guest Editor
Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia
Interests: sustainable construction; building materials; building physics; energy efficiency in buildings; nearly zero energy buildings; hygrothermal performance

Special Issue Information

Dear Colleagues,

Zero-emission buildings (ZEB) represent a step forward from current NZEBs, aligning energy performance requirements for new buildings with the longer-term climate neutrality goal and “energy efficiency first principle”.

While the focus of the proposal is the reduction of operational greenhouse gas emissions, ZEB definition further includes the calculation of life-cycle Global Warming Potential (GWP) and its disclosure through the energy performance certificate of the building.

This Special Issue of Energies is seeking papers that can demonstrate technologies that can achieve this ambitious goal. Technologies can range from passive to active systems, from hardware developments to intelligent control architectures, and advanced integrated systems. Owing to different climatic challenges in various regions of the world, we specifically seek contributions from different climatic regions.

This Special Issue is open to all engineering disciplines and a wide range of research topics addressing mitigation technologies for the efficient decarbonization of the built environment. Review papers are also accepted if their main focus is on advancements with a strong link to practical applications in all sectors.

Dr. Bojan Milovanovic
Prof. Dr. Marjana Šijanec Zavrl
Dr. Marina Bagarić
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. Energies 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 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

  • energy demand and consumption in buildings
  • application of novel and advanced building materials
  • implementation of renewable energy technologies
  • renovation and refurbishment of buildings
  • energy efficiency in buildings
  • energy management, control and optimization of smart buildings in smart cities
  • indoor quality and thermal comfort
  • high-performance buildings
  • climate change impacts on built environment
  • advanced control and monitoring of buildings
  • climate adaptation of buildings and built environments
  • building integrated renewable energy sources
  • building interactions with the environment
  • building materials and components
  • building materials and building components (performances)
  • building performance
  • clashes in technical standards: issues regarding multi-compliant performance measures
  • embodied energy and operation energy in buildings
  • energy and economic sustainability of high-performing buildings
  • energy-efficient design and retrofit of buildings
  • energy-efficient retrofit of existing buildings (intervention, energy and indoor environment management)
  • heat, air, moisture transfer
  • indoor environmental quality

Published Papers (2 papers)

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Research

23 pages, 8742 KiB  
Article
ANN-Based Method for Urban Canopy Temperature Prediction and Building Energy Simulation with Urban Heat Island Effect in Consideration
by Fitsum Tariku and Afshin Gharib Mombeni
Energies 2023, 16(14), 5335; https://doi.org/10.3390/en16145335 - 12 Jul 2023
Cited by 2 | Viewed by 1149
Abstract
The process of urbanization resulting from population growth is causing a transformation of natural landscapes into built environments, and contributing to a significant rise in air and surface temperatures in urban areas, resulting in what is known as the urban heat island (UHI). [...] Read more.
The process of urbanization resulting from population growth is causing a transformation of natural landscapes into built environments, and contributing to a significant rise in air and surface temperatures in urban areas, resulting in what is known as the urban heat island (UHI). Ignoring the UHI effect and use of weather data from open fields and airport locations for energy and thermal comfort analysis can lead to over- and underestimation of heating and cooling loads, improper sizing of equipment, inefficiencies in the mechanical systems operation, and occupants’ thermal discomfort. There is a need for computationally efficient urban canopy temperature prediction models that account for the urban morphology and characteristics of the study area. This paper presents the development and application of an artificial neural network (ANN)-based method for generating hourly urban canopy temperature and local wind speed for energy simulation. It was used to predict the urban canopy temperature of a neighborhood in downtown Vancouver and the resulting building energy consumption and indoor temperature in a typical building in the area. The results showed that the UHI effect increased the total cooling energy demand by 23% and decreased the total heating energy consumption by 29%, resulting in an overall negative effect on the total energy demand of the building, which was 18% higher in the urban area. The UHI effect also increased the number of hours of indoor temperature above the cooling set point by 7.6%. The methodology can be applied to determine the urban canopy temperature of neighborhoods in different climate zones and determine the varying urban heat island effects associated with the locations. Full article
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18 pages, 2435 KiB  
Article
Laplace and State-Space Methods for Calculating the Heat Losses in Case of Heavyweight Building Elements and Short Sampling Times
by Mergim Gaši, Bojan Milovanović, Marino Grozdek and Marina Bagarić
Energies 2023, 16(11), 4277; https://doi.org/10.3390/en16114277 - 23 May 2023
Cited by 2 | Viewed by 811
Abstract
Reducing heat losses through the building envelope is one of the most important aspects to be met if the targets set by the European Union are to be achieved. In order to obtain a more realistic energy demand, dynamic heat transfer simulations are [...] Read more.
Reducing heat losses through the building envelope is one of the most important aspects to be met if the targets set by the European Union are to be achieved. In order to obtain a more realistic energy demand, dynamic heat transfer simulations are used to calculate the energy consumption of buildings, since steady-state calculations do not take into account the thermal mass in buildings. These dynamic simulations employ methods based on analytical models since numerical models are unsuitable for longer time periods. The analytical models used herein fall into the category of conduction transfer functions (CTFs). Two methods for computing CTFs that are addressed in this research are the Laplace method and the State-Space method. The objective of this paper is to verify the efficiency of the Laplace and State-Space methods for calculating the energy demand of a building in the case of heavyweight building elements and shorter sampling times, and to provide a means for improving the algorithms used by these methods. The Laplace and State-Space method algorithms were implemented in Mathematica, and the results were compared to EnergyPlus and TRNSYS, which use similar algorithms to calculate energy demand. It was shown in this paper that for the heavyweight wall element and a time step of 0.25 h, the difference between the total energy transferred through the inner surface was about 31% for EnergyPlus and 78% for TRNSYS compared to the reference solution. For the lightweight wall element, the results were stable for the time step of 0.25 h, but for the time step of 0.1 h, the differences were 45.64% and 303% between EnergyPlus, TRNSYS and the reference solution, respectively, compared to the State-Space and Laplace methods for which the maximum difference was 12.03% with a time step of 0.1 h. While dynamic heat transfer simulations are better than calculations based on steady-state boundary conditions, they also have their limitations and could lead to unsatisfactory results for short sampling times and if not applied properly. Full article
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