Three Methods for Characterizing Building Archetypes in Urban Energy Simulation. A Case Study in Kuwait City
Significant research effort has gone into developing urban building energy modeling (UBEM) tools, which allow evaluating district-wide energy demand and supply strategies. In order to characterize simulation inputs for UBEM, buildings are typically grouped into representative “archetypes”. This si...
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| Format: | Article |
| Language: | en_US |
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International Building Performance Simulation Association
2017
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| Online Access: | http://hdl.handle.net/1721.1/106272 https://orcid.org/0000-0002-3233-9186 https://orcid.org/0000-0002-3481-1835 https://orcid.org/0000-0001-6311-0416 |
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| author | Al-Mumin, Adil Cerezo Davila, Carlos Sokol, Julia Alexandrovna Reinhart, Christoph |
| author2 | Massachusetts Institute of Technology. Department of Architecture |
| author_facet | Massachusetts Institute of Technology. Department of Architecture Al-Mumin, Adil Cerezo Davila, Carlos Sokol, Julia Alexandrovna Reinhart, Christoph |
| author_sort | Al-Mumin, Adil |
| collection | MIT |
| description | Significant research effort has gone into developing urban building energy modeling (UBEM) tools, which allow evaluating district-wide energy demand
and supply strategies. In order to characterize simulation inputs for UBEM, buildings are typically grouped into representative “archetypes”. This
simplification reduces the real diversity of usage patterns, potentially leading to results that misrepresent energy demands. Unfortunately, very little research has focused on identifying the impact of such process in the effectiveness of an UBEM to reliably predict savings from retrofit measures.
This paper analyzes two deterministic common approaches for the definition of building archetypes in UBEM, and proposes a probabilistic third method
based on the characterization of uncertain parameters related to building occupancy using measured energy data. Frequency distributions for
number of occupants, lighting power and cooling set points are generated through parametric simulation of an urban sample, later used for Monte Carlo (MC) simulation of retrofit scenarios. Measured data for the yearly energy use of one hundred and forty residential buildings in Kuwait city is used as a case study for the evaluation of the three methods. Results for the proposed probabilistic method suggest a significant improvement in the fit of the model to the measured energy use distribution. |
| first_indexed | 2024-09-23T11:18:19Z |
| format | Article |
| id | mit-1721.1/106272 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:18:19Z |
| publishDate | 2017 |
| publisher | International Building Performance Simulation Association |
| record_format | dspace |
| spelling | mit-1721.1/1062722022-09-27T18:38:03Z Three Methods for Characterizing Building Archetypes in Urban Energy Simulation. A Case Study in Kuwait City Al-Mumin, Adil Cerezo Davila, Carlos Sokol, Julia Alexandrovna Reinhart, Christoph Massachusetts Institute of Technology. Department of Architecture Massachusetts Institute of Technology. Department of Mechanical Engineering Cerezo Davila, Carlos Sokol, Julia Alexandrovna Reinhart, Christoph Significant research effort has gone into developing urban building energy modeling (UBEM) tools, which allow evaluating district-wide energy demand and supply strategies. In order to characterize simulation inputs for UBEM, buildings are typically grouped into representative “archetypes”. This simplification reduces the real diversity of usage patterns, potentially leading to results that misrepresent energy demands. Unfortunately, very little research has focused on identifying the impact of such process in the effectiveness of an UBEM to reliably predict savings from retrofit measures. This paper analyzes two deterministic common approaches for the definition of building archetypes in UBEM, and proposes a probabilistic third method based on the characterization of uncertain parameters related to building occupancy using measured energy data. Frequency distributions for number of occupants, lighting power and cooling set points are generated through parametric simulation of an urban sample, later used for Monte Carlo (MC) simulation of retrofit scenarios. Measured data for the yearly energy use of one hundred and forty residential buildings in Kuwait city is used as a case study for the evaluation of the three methods. Results for the proposed probabilistic method suggest a significant improvement in the fit of the model to the measured energy use distribution. 2017-01-06T16:40:17Z 2017-01-06T16:40:17Z 2015-12 Article http://purl.org/eprint/type/ConferencePaper http://hdl.handle.net/1721.1/106272 Cerezo, Carlos et al. "Three Methods for Characterizing Building Archetypes in Urban Energy Simulation. A Case Study in Kuwait City" Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association, Hyderabad, India, 7-9 December, 2015. https://orcid.org/0000-0002-3233-9186 https://orcid.org/0000-0002-3481-1835 https://orcid.org/0000-0001-6311-0416 en_US http://www.ibpsa.org/proceedings/BS2015/p2435.pdf Proceedings of BS2015: 14th Conference of International Building Performance Simulation Association Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf International Building Performance Simulation Association MIT web domain |
| spellingShingle | Al-Mumin, Adil Cerezo Davila, Carlos Sokol, Julia Alexandrovna Reinhart, Christoph Three Methods for Characterizing Building Archetypes in Urban Energy Simulation. A Case Study in Kuwait City |
| title | Three Methods for Characterizing Building Archetypes in Urban Energy Simulation. A Case Study in Kuwait City |
| title_full | Three Methods for Characterizing Building Archetypes in Urban Energy Simulation. A Case Study in Kuwait City |
| title_fullStr | Three Methods for Characterizing Building Archetypes in Urban Energy Simulation. A Case Study in Kuwait City |
| title_full_unstemmed | Three Methods for Characterizing Building Archetypes in Urban Energy Simulation. A Case Study in Kuwait City |
| title_short | Three Methods for Characterizing Building Archetypes in Urban Energy Simulation. A Case Study in Kuwait City |
| title_sort | three methods for characterizing building archetypes in urban energy simulation a case study in kuwait city |
| url | http://hdl.handle.net/1721.1/106272 https://orcid.org/0000-0002-3233-9186 https://orcid.org/0000-0002-3481-1835 https://orcid.org/0000-0001-6311-0416 |
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