A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model

Österbring, Magnus; Mata, Érika; Thuvander, Liane; Mangold, Mikael; Johnsson, Filip; Wallbaum, Holger

doi:10.1016/j.enbuild.2016.03.060

Cited by 108 publications

(52 citation statements)

References 26 publications

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“…Accounting of spatial aspects. Use of regional archetypes [29][30][31], spatial data [53][54][55], GIS integration [32,33,35,56,57].…”

Section: Spatial Dimensionmentioning

confidence: 99%

“…GIS is often used to retrieve buildings data, such as floor area, number of storeys, vintage or building type, from existing datasets or to visualize results [17,56,57]. LiDAR (Light Detection and Ranging) data [53,54,64], urban registries data [35,57], and open spatial datasets [55] can provide more detailed information about the building geometry and characteristics. This, in turn, enables accurate estimations of the materials required for renovation operations and related impact [15,33,36], and provide relevant input data for building energy models and LCA.…”

Section: Spatial Dimensionmentioning

confidence: 99%

“…The archetypes approach has been widely used as it enables an easy building stock characterization and scenarios creation [34]. However, it implies many assumptions, possibly oversimplifications, and often lacks the spatial dimension, which could be enhanced by GIS [35]. A complete and automatic information flow between GIS, LCA, and building energy model platforms is largely missing and could support an improved representation of spatial aspects.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A spatio-temporal life cycle assessment framework for building renovation scenarios at the urban scale

Mastrucci

Marvuglia

Benetto

et al. 2020

Renewable and Sustainable Energy Reviews

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Reducing the energy consumption of buildings is a priority for carbon emissions mitigation in urban areas. Building stock energy models have been developed to support decisions of public authorities in renovation strategies. However, the burdens of renovation interventions and their temporal distribution are mostly overlooked, leading to potential overestimation of environmental benefits. Life Cycle Assessment (LCA) provides a holistic estimation of environmental impacts, but further developments are needed to correctly consider spatio-temporal aspects.We propose a spatio-temporal LCA framework to assess renovation scenarios of urban housing stocks, integrating: 1) a geospatial building-by-building stock model, 2) energy demand modelling, 3) product-based LCA, and 4) a scenario generator.Temporal aspects are considered both in the lifecycle inventory and the lifecycle impact assessment phases, by accounting for the evolution of the existing housing stock and applying time-adjusted carbon footprint calculation.We apply the framework for the carbon footprint assessment of housing renovation in Esch-sur-Alzette (Luxembourg). Results show that the renovation stage represents 4% to 16% of the carbon footprint in the residual service life of existing buildings, respectively after conventional or advanced renovations. Under current renovation rates, the carbon footprint reduction would be limited to 3-4% by 2030. Pushing renovation rates to 3%, enables carbon reductions up to 28% by 2030 when combined with advanced renovations. Carbon reductions in the operational stage of buildings are offset by 8-9% due to the impacts of renovation. Using time-adjusted emissions, results in higher weight for the renovation stage and slightly lower benefits for renovation.

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“…Accounting of spatial aspects. Use of regional archetypes [29][30][31], spatial data [53][54][55], GIS integration [32,33,35,56,57].…”

Section: Spatial Dimensionmentioning

confidence: 99%

Section: Spatial Dimensionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A spatio-temporal life cycle assessment framework for building renovation scenarios at the urban scale

Mastrucci

Marvuglia

Benetto

et al. 2020

Renewable and Sustainable Energy Reviews

View full text Add to dashboard Cite

show abstract

“…A number of bottom-up building stock energy models have been recently developed to cover this need (see e.g. [4][5][6][7][8][9][10][11][12][13]). The archetypes technique [14] is one of the most common approaches.…”

Section: Introductionmentioning

confidence: 99%

Global sensitivity analysis as a support for the generation of simplified building stock energy models

Mastrucci

Pérez‐López

Benetto

et al. 2017

Energy and Buildings

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International audienceBuildings are responsible for 40% of total final energy consumptions in Europe. Numerous bottom-up models were recently developed to support local authorities in assessing the energy consumption of large building stocks and reduction potentials. However, current models rarely consider uncertainty associated to building usage and characteristics within the stock, resulting in potentially biased results. This study presents a generic model simplification approach using uncertainty propagation and stochastic sensitivity analysis to derive fast simplified (surrogate) models to estimate the current building stock energy use for improved urban planning. The methodology includes an engineering-based energy model as input to global sensitivity analysis (GSA) using the elementary effects (EE) screening and Sobol’ method for key parameters identification and regression analysis to derive simplified models for entire building stocks. The application to the housing stock of Esch-sur-Alzette (Luxembourg) showed that the parameters explaining most of the variability in final energy use for heating and domestic hot water are floor area, set-point temperature, external walls U-values, windows and heating system type. Results of the simplified models were validated against measured data and confirmed the validity of the approach for a simple yet robust assessment of the building stock energy use considering uncertainty and variability

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“…; Österbring et al. ). However, the amount and detail of data needed hinder any application in cities with a high amount of informal settlement.…”

Section: Introductionmentioning

confidence: 97%

Embodied GHGs in a Fast Growing City: Looking at the Evolution of a Dwelling Stock using Structural Element Breakdown and Policy Scenarios

Göswein

Krones

Celentano

et al. 2017

J of Industrial Ecology

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Africa is currently experiencing rapid population growth and accelerated urbanization. This demographic shift will require a large amount of new construction material resulting in substantial environmental impact. For many cities on the continent, data gaps make specific quantification and robust prediction of this impact highly difficult. This article presents a method to assess the stock dynamics and embodied emissions of a rapidly growing urban built environment using a bottom-up, typological approach. This approach allows for the identification of appropriate engineering solutions for decarbonization by localizing embodied greenhouse gas (GHG) emissions in the different constructive elements with a revisited Sankey diagram. Different alternatives regarding housing type and construction techniques are compared. The city of Johannesburg is used as a case study to illustrate the relation between building types, technologies, and embodied GHG of its residential building stock. This new visualization uncovers the most material-and GHG-intense dwelling types and building elements. The adapted Sankey represents the building stock and its drivers in a simple way, allowing clear understanding of the consequences of potential alternatives. The business-as-usual scenario indicates 100.5 megatons carbon dioxide equivalent (Mt CO 2eq) for new construction between 2011 and 2040. The results of the dynamic model over time show that only a combination of a densified building stock with multistory buildings and the use of alternative construction materials and techniques show real potential to decelerate GHG emissions (33.0 Mt CO 2 -eq until 2040) while aiming to provide adequate and sustainable housing for all.

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A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model

Cited by 108 publications

References 26 publications

A spatio-temporal life cycle assessment framework for building renovation scenarios at the urban scale

A spatio-temporal life cycle assessment framework for building renovation scenarios at the urban scale

Global sensitivity analysis as a support for the generation of simplified building stock energy models

Embodied GHGs in a Fast Growing City: Looking at the Evolution of a Dwelling Stock using Structural Element Breakdown and Policy Scenarios

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