Flexibility for improved design : probabilistic quasi-optimization of building life cycle impacts and costs

Thesis: Ph. D., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2018.

Bibliographic Details
Main Author: Hester, Joshua C. (Joshua Colón)
Other Authors: Franz-Josef Ulm, Jeremy Gregory and Randolph Kirchain.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2018
Subjects:
Online Access:http://hdl.handle.net/1721.1/119328
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author Hester, Joshua C. (Joshua Colón)
author2 Franz-Josef Ulm, Jeremy Gregory and Randolph Kirchain.
author_facet Franz-Josef Ulm, Jeremy Gregory and Randolph Kirchain.
Hester, Joshua C. (Joshua Colón)
author_sort Hester, Joshua C. (Joshua Colón)
collection MIT
description Thesis: Ph. D., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2018.
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spelling mit-1721.1/1193282019-04-11T02:03:52Z Flexibility for improved design : probabilistic quasi-optimization of building life cycle impacts and costs Probabilistic quasi-optimization of building life cycle impacts and costs Hester, Joshua C. (Joshua Colón) Franz-Josef Ulm, Jeremy Gregory and Randolph Kirchain. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. Civil and Environmental Engineering. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references. In order to design buildings with reduced environmental impacts, it is important to analyze and compare a variety of design alternatives starting at early stages of the design process. This dissertation discusses the development of a probabilistic life cycle assessment (LCA) methodology for single-family residential buildings called the Building Attribute to Impact Algorithm (BAIA), which was created to reduce the amount of time and detail required to conduct LCAs, thus facilitating their use for early design exploration. Within BAIA, the building geometry, systems, occupant behavior, and materials are defined by flexible attributes, with options organized into hierarchies representing different levels of precision or under-specification. Parametric models based on these attributes provide estimates of the material quantities and use-phase energy consumption of the building, and Monte Carlo simulation is used to calculate the variability in predicted impacts and costs resulting from under-specified attributes. Two design guidance methods are explored: sequential specification - in which influential attributes are iteratively identified and specified - and genetic optimization. The latter is found to be more efficient because it identifies solutions with lower impacts and costs while maintaining a higher degree of flexibility in the probabilistic design, as measured by information entropy. In a genetically optimized design, quasi-optimum design solutions with 75% of the optimal reduction of costs and impacts are shown to provide a 40% increase in flexibility over the optimized design. These quasi-optimum solutions are analyzed to identify which attributes are flexible vs. critical (having quasi-optimum ranges that are greater than or less than half of their initial under-specified ranges, respectively). Twelve cases are studied representing different locations, analysis periods, uncertainty in energy-related impacts, and weightings of costs vs. impacts in the optimization objective. Of the geometrical attributes, the building aspect ratio and window-to-wall ratios are critical, while seven others (including orientation, number of stories, and window overhangs) are flexible in all cases. Most occupant-related attributes (including window shading and natural ventilation) are also flexible in all cases. Among the systems-related attributes, the mini-split heat pump efficiency, air leakage, and ratio of LED lighting fixtures are critical in most or all cases. by Joshua C. Hester. Ph. D. 2018-11-28T15:43:24Z 2018-11-28T15:43:24Z 2018 2018 Thesis http://hdl.handle.net/1721.1/119328 1065522454 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 149 pages application/pdf Massachusetts Institute of Technology
spellingShingle Civil and Environmental Engineering.
Hester, Joshua C. (Joshua Colón)
Flexibility for improved design : probabilistic quasi-optimization of building life cycle impacts and costs
title Flexibility for improved design : probabilistic quasi-optimization of building life cycle impacts and costs
title_full Flexibility for improved design : probabilistic quasi-optimization of building life cycle impacts and costs
title_fullStr Flexibility for improved design : probabilistic quasi-optimization of building life cycle impacts and costs
title_full_unstemmed Flexibility for improved design : probabilistic quasi-optimization of building life cycle impacts and costs
title_short Flexibility for improved design : probabilistic quasi-optimization of building life cycle impacts and costs
title_sort flexibility for improved design probabilistic quasi optimization of building life cycle impacts and costs
topic Civil and Environmental Engineering.
url http://hdl.handle.net/1721.1/119328
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