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Multi-Scale Modeling of Carbon Sequestration and Storage in the Built Environment.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-Scale Modeling of Carbon Sequestration and Storage in the Built Environment./
作者:	Arehart, Jay H.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	226 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-07, Section: B.
Contained By:	Dissertations Abstracts International83-07B.
標題:	Architectural engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28861457
ISBN:	9798762107457

Multi-Scale Modeling of Carbon Sequestration and Storage in the Built Environment.
Arehart, Jay H.

Multi-Scale Modeling of Carbon Sequestration and Storage in the Built Environment. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 226 p.

Source: Dissertations Abstracts International, Volume: 83-07, Section: B.

Thesis (Ph.D.)--University of Colorado at Boulder, 2021.

This item must not be sold to any third party vendors.

A new paradigm has emerged in the context of the built environment which considers buildings as carbon sinks through the increased use of construction materials which store carbon. This paradigm inspires the guiding question for this dissertation: to what extent can carbon be stored in buildings? This question is explored using new computational methods at the material scale and building-stock scale. At the material scale, Chapter III presents the derivation and application of a model to account for the carbon sequestration and subsequent storage within hempcrete, a cementitious bio-composite thermal insulation material. Results show that between 28.5% and 38.4% of the initial carbon emissions associated with binder production can be sequestered through in situ carbonation, and that with the inclusion of biogenic carbon, hempcrete can be a net-carbon storing material.Prior to investigating carbon storage at the building stock scale, the total size (measured by floor space) of the US building stock is estimated through Chapters IV and V. Chapter IV evaluates the performance of different machine learning models to predict the maximum height of a building using its footprint geometry. Random forest models perform best, with prediction accuracy sufficient to determine the number of stories in a building. This model is then applied to all building footprints in the United States (US) to estimate the total floor space of the building stock in 2016, the focus to Chapter V. The key finding is that the total floor space per-capita was 282 m2 cap-1, 2.9 times other estimates for conditioned floor space.A scenario-based material flow analysis is implemented in Chapter VI to quantify the demand for structural materials between 2020 and 2100 under different development pathways, many which consider an aggressive adoption of timber-based systems. A dynamic life cycle assessment is then performed in Chapter VII to evaluate the climate impacts of each scenario. Under a high-density, mass-timber dominated building stock, structural systems can have a net-cooling impact on the climate by 2066. This finding illustrates that it is feasible for structural systems within the US to have a net-benefit on the climate, yet rapid shifts to mass-timber need to be incentivized through changes in policy.

ISBN: 9798762107457Subjects--Topical Terms:

3174102
Architectural engineering.
Subjects--Index Terms:

Hempcrete

Multi-Scale Modeling of Carbon Sequestration and Storage in the Built Environment.
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520 $a A new paradigm has emerged in the context of the built environment which considers buildings as carbon sinks through the increased use of construction materials which store carbon. This paradigm inspires the guiding question for this dissertation: to what extent can carbon be stored in buildings? This question is explored using new computational methods at the material scale and building-stock scale. At the material scale, Chapter III presents the derivation and application of a model to account for the carbon sequestration and subsequent storage within hempcrete, a cementitious bio-composite thermal insulation material. Results show that between 28.5% and 38.4% of the initial carbon emissions associated with binder production can be sequestered through in situ carbonation, and that with the inclusion of biogenic carbon, hempcrete can be a net-carbon storing material.Prior to investigating carbon storage at the building stock scale, the total size (measured by floor space) of the US building stock is estimated through Chapters IV and V. Chapter IV evaluates the performance of different machine learning models to predict the maximum height of a building using its footprint geometry. Random forest models perform best, with prediction accuracy sufficient to determine the number of stories in a building. This model is then applied to all building footprints in the United States (US) to estimate the total floor space of the building stock in 2016, the focus to Chapter V. The key finding is that the total floor space per-capita was 282 m2 cap-1, 2.9 times other estimates for conditioned floor space.A scenario-based material flow analysis is implemented in Chapter VI to quantify the demand for structural materials between 2020 and 2100 under different development pathways, many which consider an aggressive adoption of timber-based systems. A dynamic life cycle assessment is then performed in Chapter VII to evaluate the climate impacts of each scenario. Under a high-density, mass-timber dominated building stock, structural systems can have a net-cooling impact on the climate by 2066. This finding illustrates that it is feasible for structural systems within the US to have a net-benefit on the climate, yet rapid shifts to mass-timber need to be incentivized through changes in policy.
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