scholarly journals Energy Modelling and Retrofit of the Residential Building Stock of Jiangsu Province

2019 ◽  
Author(s):  
Marco Cimillo ◽  
Filippo Calcerano ◽  
Xi Chen ◽  
David Chow ◽  
Elena Gigliarelli
Keyword(s):  
Environmental Impact ◽  
Large Scale ◽  
Residential Building ◽  
Jiangsu Province ◽  
Building Stock ◽  
Energy Retrofit ◽  
Energy Modelling ◽  
Occupant Comfort ◽  
Residential Building Stock

Thecontributiondiscussestheenergyuseandcharacteristicsoftheresidentialbuilding stock in Jiangsu Province (China), with a focus on the potential of large-scale energy retrofit to mitigate environmental impact and running costs of its most inefficient vintages, while improving occupant comfort and reducing the need for demolition and reconstruction in the upgrading of the stock. Whilethehistoricalpartoftheresidentialstockisprofoundlyrootedinthelocaltraditions and adapted to the climate of the region, the development of the newer building typologies, that currently constitute the majority of the extant buildings, has been drastically shaped by different international influences starting form the 20

scholarly journals Techno-economic potential of large-scale energy retrofit in the Swiss residential building stock

2017 ◽  
Vol 122 ◽  
pp. 121-126 ◽  
Author(s):  
Kai Nino Streicher ◽  
David Parra ◽  
Meinrad C. Buerer ◽  
Martin K. Patel
Keyword(s):  
Large Scale ◽  
Residential Building ◽  
Economic Potential ◽  
Building Stock ◽  
Energy Retrofit ◽  
Residential Building Stock

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 Estimating the Smart Readiness Indicator in the Italian Residential Building Stock in Different Scenarios

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6442
Author(s):  
Laura Canale ◽  
Marianna De Monaco ◽  
Biagio Di Pietra ◽  
Giovanni Puglisi ◽  
Giorgio Ficco ◽  
...  
Keyword(s):  
Residential Building ◽  
Energy Performance ◽  
Building Stock ◽  
Smart Building ◽  
Energy Retrofit ◽  
Energy Scenario ◽  
Base Scenario ◽  
Building Typology ◽  
Residential Building Stock ◽  
Multicriteria Assessment

The Energy Performance of Buildings Directive 2018/844/EU introduced the smart readiness indicator (SRI) to provide a framework to evaluate and promote building smartness in Europe. In order to establish a methodological framework for the SRI calculation, two technical studies were launched, at the end of which a consolidated methodology to calculate the SRI of a building basing on a flexible and modular multicriteria assessment has been proposed. In this paper the authors applied the above-mentioned methodology to estimate the SRI of the Italian residential building stock in different scenarios. To this end, eight “smart building typologies”, representative of the Italian residential building stock, have been identified. For each smart building typology, the SRI was calculated in three scenarios: (a) base scenario (building stock as it is); (b) an “energy scenario” (simple energy retrofit) and (c) a “smart energy scenario” (energy retrofit from a smart perspective). It was therefore possible to estimate a national average SRI value of 5.0%, 15.7%, and 27.5% in the three above defined scenarios, respectively.

scholarly journals Benchmarks for environmental impact of housing in Europe: Definition of archetypes and LCA of the residential building stock

2018 ◽  
Vol 145 ◽  
pp. 260-275 ◽  
Author(s):  
Monica Lavagna ◽  
Catia Baldassarri ◽  
Andrea Campioli ◽  
Serena Giorgi ◽  
Anna Dalla Valle ◽  
...  
Keyword(s):  
Environmental Impact ◽  
Residential Building ◽  
Building Stock ◽  
Residential Building Stock ◽  
Definition Of

A computational framework for large-scale seismic simulations of residential building stock

2021 ◽  
Vol 244 ◽  
pp. 112690
Author(s):  
Sebastiano Marasco ◽  
Ali Zamani Noori ◽  
Marco Domaneschi ◽  
Gian Paolo Cimellaro
Keyword(s):  
Large Scale ◽  
Residential Building ◽  
Building Stock ◽  
Computational Framework ◽  
Residential Building Stock

scholarly journals An Energy-Resilient Retrofit Methodology to Climate Change for Historic Districts. Application in the Mediterranean Area

2021 ◽  
Vol 13 (3) ◽  
pp. 1422
Author(s):  
Elena Cantatore ◽  
Fabio Fatiguso
Keyword(s):  
Climate Change ◽  
Cultural Heritage ◽  
Residential Building ◽  
Mediterranean Area ◽  
Critical Energy ◽  
Building Stock ◽  
Historic Districts ◽  
Energy Retrofit ◽  
Residential Building Stock

Focusing on the uncertainties of climate change and its effects on the built environment, on the energy responsibilities of residential building stock and on the dichotomy between the transformation and preservation of cultural heritage with a long-term perspective, this paper proposes a detailed methodology aimed at managing energy retrofit transformations and preservation actions in historic districts following “resilience thinking.” The proposed methodology pursues the traditional process of retrofitting for cultural heritage, and identifies—on building and component scales—a structural process aimed at: (i) recognizing and testing the adaptive qualities of traditional built constructions to climate change based upon the genius loci experience; (ii) diagnosing critical energy emergencies which occurred due to historical transformations or exposure to criticalities of climate change; (iii) identifying and managing improvement requirements according to priority levels of transformation (MUERI). The test on a representative case study in the south of Italy (Mediterranean area) highlighted some significant results: (i) the importance of compactness and of light-colored materials in fighting local microclimate alterations; (ii) the pivotal responsibility of roofs in current and future trends in energy consumption, promoting and testing both innovative and traditional solutions; (iii) the reduction into a limited number of buildings cases to assess, solving the complex and various combinations of features, with which suitable solutions and guidelines are associated.

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