Research Brief: Concrete building design optimization for reduced life cycle costs and environmental impacts
Decisions made at early stages of the building design process can have a large influence on the environmental performance and financial costs of a building. One of the best ways to discover preferable designs is to analyze and compare many different alternatives. However, due to time and data requir...
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2021
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| Online Access: | https://hdl.handle.net/1721.1/130034 |
| _version_ | 1826215402250698752 |
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| author | Hester, Josh Gregory, Jeremy Kirchain, Randolph |
| author_facet | Hester, Josh Gregory, Jeremy Kirchain, Randolph |
| author_sort | Hester, Josh |
| collection | MIT |
| description | Decisions made at early stages of the building design process can have a large influence on the environmental performance and financial costs of a building. One of the best ways to discover preferable designs is to analyze and compare many different alternatives. However, due to time and data requirements, assessments of a building’s environmental impacts and costs can be time-consuming and difficult to perform early on. Even with streamlined tools, such as the CSHub-developed Building Attribute to Impact Algorithm (BAIA), it can still be difficult to minimize lifetime impacts and costs through manual comparisons of alternatives. Combining tools like BAIA with optimization methods can help identify the best ranges for key design parameters. |
| first_indexed | 2024-09-23T16:27:26Z |
| id | mit-1721.1/130034 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:27:26Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | mit-1721.1/1300342021-03-03T03:02:04Z Research Brief: Concrete building design optimization for reduced life cycle costs and environmental impacts Hester, Josh Gregory, Jeremy Kirchain, Randolph Life Cycle Analysis Energy Consumption Buildings Decisions made at early stages of the building design process can have a large influence on the environmental performance and financial costs of a building. One of the best ways to discover preferable designs is to analyze and compare many different alternatives. However, due to time and data requirements, assessments of a building’s environmental impacts and costs can be time-consuming and difficult to perform early on. Even with streamlined tools, such as the CSHub-developed Building Attribute to Impact Algorithm (BAIA), it can still be difficult to minimize lifetime impacts and costs through manual comparisons of alternatives. Combining tools like BAIA with optimization methods can help identify the best ranges for key design parameters. 2021-03-02T15:05:23Z 2021-03-02T15:05:23Z 2018-04 https://hdl.handle.net/1721.1/130034 MIT CSHub Research Brief; Volume 2018, Issue 4 application/pdf |
| spellingShingle | Life Cycle Analysis Energy Consumption Buildings Hester, Josh Gregory, Jeremy Kirchain, Randolph Research Brief: Concrete building design optimization for reduced life cycle costs and environmental impacts |
| title | Research Brief: Concrete building design optimization for reduced life cycle costs and environmental impacts |
| title_full | Research Brief: Concrete building design optimization for reduced life cycle costs and environmental impacts |
| title_fullStr | Research Brief: Concrete building design optimization for reduced life cycle costs and environmental impacts |
| title_full_unstemmed | Research Brief: Concrete building design optimization for reduced life cycle costs and environmental impacts |
| title_short | Research Brief: Concrete building design optimization for reduced life cycle costs and environmental impacts |
| title_sort | research brief concrete building design optimization for reduced life cycle costs and environmental impacts |
| topic | Life Cycle Analysis Energy Consumption Buildings |
| url | https://hdl.handle.net/1721.1/130034 |
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