Assessing methods for predicting retrofit energy savings in buildings : case study of a Norwegian school

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.

Bibliographic Details
Main Author: Ricker, Elizabeth, S.M. (Elizabeth Ann). Massachusetts Institute of Technology
Other Authors: Leon Glicksman.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2009
Subjects:
Online Access:http://hdl.handle.net/1721.1/44858
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author Ricker, Elizabeth, S.M. (Elizabeth Ann). Massachusetts Institute of Technology
author2 Leon Glicksman.
author_facet Leon Glicksman.
Ricker, Elizabeth, S.M. (Elizabeth Ann). Massachusetts Institute of Technology
author_sort Ricker, Elizabeth, S.M. (Elizabeth Ann). Massachusetts Institute of Technology
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
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spelling mit-1721.1/448582019-04-12T15:22:04Z Assessing methods for predicting retrofit energy savings in buildings : case study of a Norwegian school Ricker, Elizabeth, S.M. (Elizabeth Ann). Massachusetts Institute of Technology Leon Glicksman. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008. Includes bibliographical references (p. 326-338). This work investigates methods for predicting retrofit energy savings in existing Norwegian buildings. A case study is performed on a 30 year old primary school in Trondheim, Norway. The energy consumption in the school is simulated with the EnergyPlus computer software and calibrated against measured utility data. Two simulation calibration techniques are investigated: manual calibration and Latin Hypercube Monte Carlo (LHMC) analysis. LHMC is a statistical technique for calibrating building energy simulations, whereas manual calibrations are tuned by the modeler. Calibrated simulations are then used to predict the potential for energy savings under a number of retrofit conditions. Methods of quantifying the uncertainty in energy savings predictions are also investigated. The LHMC is shown to be most appropriate for models with a high number of uncertain building simulation inputs and when monthly utility data is available. However, manual calibration is found to be more suitable for simulations with fewer uncertain inputs and when hourly utility data is available. The retrofit analysis with the manually calibrated model predicted savings of up to 55% of the 173 kWh/m² base-year energy consumption in the case study building. by Elizabeth Ricker. S.M. 2009-03-16T19:52:06Z 2009-03-16T19:52:06Z 2008 2008 Thesis http://hdl.handle.net/1721.1/44858 301745198 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 338 p. application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Ricker, Elizabeth, S.M. (Elizabeth Ann). Massachusetts Institute of Technology
Assessing methods for predicting retrofit energy savings in buildings : case study of a Norwegian school
title Assessing methods for predicting retrofit energy savings in buildings : case study of a Norwegian school
title_full Assessing methods for predicting retrofit energy savings in buildings : case study of a Norwegian school
title_fullStr Assessing methods for predicting retrofit energy savings in buildings : case study of a Norwegian school
title_full_unstemmed Assessing methods for predicting retrofit energy savings in buildings : case study of a Norwegian school
title_short Assessing methods for predicting retrofit energy savings in buildings : case study of a Norwegian school
title_sort assessing methods for predicting retrofit energy savings in buildings case study of a norwegian school
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/44858
work_keys_str_mv AT rickerelizabethsmelizabethannmassachusettsinstituteoftechnology assessingmethodsforpredictingretrofitenergysavingsinbuildingscasestudyofanorwegianschool