scholarly journals Recycling potential in building energy renovation: A prospective study of the Dutch residential building stock up to 2050

2021 ◽  
Vol 301 ◽  
pp. 126835 ◽  
Author(s):  
Chunbo Zhang ◽  
Mingming Hu ◽  
Benjamin Sprecher ◽  
Xining Yang ◽  
Xiaoyang Zhong ◽  
...  
Keyword(s):  
Prospective Study ◽  
Residential Building ◽  
Building Energy ◽  
Building Stock ◽  
Residential Building Stock ◽  
Recycling Potential ◽  
A Prospective Study

scholarly journals Application of Artificial Neural Networks in the Urban Building Energy Modelling of Polish Residential Building Stock

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8285
Author(s):  
Marcin Zygmunt ◽  
Dariusz Gawin
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Planning Process ◽  
Residential Building ◽  
Building Energy ◽  
Building Stock ◽  
Energy Efficient Buildings ◽  
Energy Modelling ◽  
Residential Building Stock ◽  
Artificial Neural

The development of energy-efficient buildings and sustainable energy supply systems is an obligatory undertaking towards a more sustainable future. To protect the natural environment, the modernization of urban infrastructure is indisputably important, possible to achieve considering numerous buildings as a group, i.e., Building Energy Cluster (BEC). The urban planning process evaluates multiple complex criteria to select the most profitable scenario in terms of energy consumption, environmental protection, or financial profitability. Thus, Urban Building Energy Modelling (UBEM) is presently a popular approach applied for studies towards the development of sustainable cities. Today’s UBEM tools use various calculation methods and approaches, as well as include different assumptions and limitations. While there are several popular and valuable software for UBEM, there is still no such tool for analyses of the Polish residential stock. In this work an overview on the home-developed tool called TEAC, focusing on its’ mathematical model and use of Artificial Neural Networks (ANN). An exemplary application of the TEAC software is also presented.

scholarly journals A Comparative Analysis of Different Future Weather Data for Building Energy Performance Simulation

Climate ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 37
Author(s):  
Mamak P.Tootkaboni ◽  
Ilaria Ballarini ◽  
Michele Zinzi ◽  
Vincenzo Corrado
Keyword(s):  
Climate Model ◽  
Dynamical Downscaling ◽  
Residential Building ◽  
Building Energy ◽  
Energy Performance ◽  
Weather Data ◽  
Building Stock ◽  
Building Energy Performance ◽  
The Future ◽  
Residential Building Stock

The building energy performance pattern is predicted to be shifted in the future due to climate change. To analyze this phenomenon, there is an urgent need for reliable and robust future weather datasets. Several ways for estimating future climate projection and creating weather files exist. This paper attempts to comparatively analyze three tools for generating future weather datasets based on statistical downscaling (WeatherShift, Meteonorm, and CCWorldWeatherGen) with one based on dynamical downscaling (a future-typical meteorological year, created using a high-quality reginal climate model). Four weather datasets for the city of Rome are generated and applied to the energy simulation of a mono family house and an apartment block as representative building types of Italian residential building stock. The results show that morphed weather files have a relatively similar operation in predicting the future comfort and energy performance of the buildings. In addition, discrepancy between them and the dynamical downscaled weather file is revealed. The analysis shows that this comes not only from using different approaches for creating future weather datasets but also by the building type. Therefore, for finding climate resilient solutions for buildings, care should be taken in using different methods for developing future weather datasets, and regional and localized analysis becomes vital.

scholarly journals TOPOI RESOURCES: Quantification and Assessment of Global Warming Potential and Land-Uptake of Residential Buildings in Settlement Types along the Urban–Rural Gradient—Opportunities for Sustainable Development

2021 ◽  
Vol 13 (8) ◽  
pp. 4099
Author(s):  
Ann-Kristin Mühlbach ◽  
Olaf Mumm ◽  
Ryan Zeringue ◽  
Oskars Redbergs ◽  
Elisabeth Endres ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Global Warming ◽  
Energy Consumption ◽  
Global Warming Potential ◽  
Residential Buildings ◽  
Residential Building ◽  
Negative Effects ◽  
Building Stock ◽  
Residential Building Stock ◽  
Urban Rural

The METAPOLIS as the polycentric network of urban–rural settlement is undergoing constant transformation and urbanization processes. In particular, the associated imbalance of the shrinkage and growth of different settlement types in relative geographical proximity causes negative effects, such as urban sprawl and the divergence of urban–rural lifestyles with their related resource, land and energy consumption. Implicitly related to these developments, national and global sustainable development goals for the building sector lead to the question of how a region can be assessed without detailed research and surveys to identify critical areas with high potential for sustainable development. In this study, the TOPOI method is used. It classifies settlement units and their interconnections along the urban–rural gradient, in order to quantify and assess the land-uptake and global warming potential driven by residential developments. Applying standard planning parameters in combination with key data from a comprehensive life cycle assessment of the residential building stock, a detailed understanding of different settlement types and their associated resource and energy consumption is achieved.

scholarly journals Towards Urban Mining—Estimating the Potential Environmental Benefits by Applying an Alternative Construction Practice. A Case Study from Switzerland

2020 ◽  
Vol 12 (12) ◽  
pp. 5041
Author(s):  
Efstathios Kakkos ◽  
Felix Heisel ◽  
Dirk E. Hebel ◽  
Roland Hischier
Keyword(s):  
Impact Category ◽  
Residential Building ◽  
Environmental Benefits ◽  
Experimental Unit ◽  
Building Stock ◽  
Urban Mining ◽  
Country Level ◽  
Residential Building Stock ◽  
Construction Practice

Modern cities emerged as the main accumulator for primary and waste materials. Recovery of both types from buildings after demolition/disassembly creates a secondary material stream that could relieve pressure from primary resources. Urban mining represents this circular approach, and its application depends on redefining current construction practice. Through the life cycle assessment (LCA) methodology and assuming primary resources as step zero of urban mining, this study estimates the impacts and benefits of conventional versus a circular construction practice applied to various buildings with different parameters and the country-level environmental potential savings that could be achieved through this switch in construction practice—using the increase of the residential building stock in Switzerland between 2012 and 2016 as a case study and key values from the experimental unit “Urban Mining and Recycling”, designed by Werner Sobek with Dirk E. Hebel and Felix Heisel and installed inside the NEST (Next Evolution in Sustainable Building Technologies) research building on the Empa campus in Switzerland. The results exhibit lower total impacts (at least 16% in each examined impact category) at building level and resulting benefits (i.e., 68–117 kt CO2-Eq) at country level over five years, which can be further reduced/increased respectively by using existing or recycled components, instead of virgin materials.

Simulating a residential building stock to support regional efficiency policy

2020 ◽  
Vol 261 ◽  
pp. 114223 ◽  
Author(s):  
Brock Glasgo ◽  
Nyla Khan ◽  
Inês Lima Azevedo
Keyword(s):  
Residential Building ◽  
Building Stock ◽  
Residential Building Stock
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