Approach to calibrated simulation tool for improved building performance
Simulation tools represent continuous, stochastic processes in buildings by discrete time-step, deterministic model estimations. All models make assumptions when representing real buildings. Detailed models more closely represent the operation of the real building and allow Energy Conservation Measu...
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2013
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Online Access: | http://eprints.utm.my/id/eprint/50914/ http://dx.doi.org/10.4028/www.scientific.net/AMR.689.22 |
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my.utm.509142017-09-14T08:17:35Z http://eprints.utm.my/id/eprint/50914/ Approach to calibrated simulation tool for improved building performance Shika, S. A. Sapri, M. Sipan, I. Abubakar, A. I. Umar, A. Wakawa, U. B. HD Industries. Land use. Labor Simulation tools represent continuous, stochastic processes in buildings by discrete time-step, deterministic model estimations. All models make assumptions when representing real buildings. Detailed models more closely represent the operation of the real building and allow Energy Conservation Measures (ECM) to be investigated at finer resolution, using fewer assumptions. This paper presents a systematic, evidence-based approach to calibrated simulation. This approach yields a calibrated model that is based solely on referenced sources of information about the building. The proposed methodology builds on some of the best techniques from the reviewed literature and combines these with an evidence-based approach that uses version control software to track the calibration process.Although the process produces a single, deterministic model for an inherently stochastic process (building operation), such an approach can produce meaningful conclusions where sub-utilities hourly measured data and significant resources for further investigation and measurement are available. 2013 Conference or Workshop Item PeerReviewed Shika, S. A. and Sapri, M. and Sipan, I. and Abubakar, A. I. and Umar, A. and Wakawa, U. B. (2013) Approach to calibrated simulation tool for improved building performance. In: Advanced Materials Research. http://dx.doi.org/10.4028/www.scientific.net/AMR.689.22 |
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HD Industries. Land use. Labor Shika, S. A. Sapri, M. Sipan, I. Abubakar, A. I. Umar, A. Wakawa, U. B. Approach to calibrated simulation tool for improved building performance |
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Simulation tools represent continuous, stochastic processes in buildings by discrete time-step, deterministic model estimations. All models make assumptions when representing real buildings. Detailed models more closely represent the operation of the real building and allow Energy Conservation Measures (ECM) to be investigated at finer resolution, using fewer assumptions. This paper presents a systematic, evidence-based approach to calibrated simulation. This approach yields a calibrated model that is based solely on referenced sources of information about the building. The proposed methodology builds on some of the best techniques from the reviewed literature and combines these with an evidence-based approach that uses version control software to track the calibration process.Although the process produces a single, deterministic model for an inherently stochastic process (building operation), such an approach can produce meaningful conclusions where sub-utilities hourly measured data and significant resources for further investigation and measurement are available. |
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Conference or Workshop Item |
author |
Shika, S. A. Sapri, M. Sipan, I. Abubakar, A. I. Umar, A. Wakawa, U. B. |
author_facet |
Shika, S. A. Sapri, M. Sipan, I. Abubakar, A. I. Umar, A. Wakawa, U. B. |
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Shika, S. A. |
title |
Approach to calibrated simulation tool for improved building performance |
title_short |
Approach to calibrated simulation tool for improved building performance |
title_full |
Approach to calibrated simulation tool for improved building performance |
title_fullStr |
Approach to calibrated simulation tool for improved building performance |
title_full_unstemmed |
Approach to calibrated simulation tool for improved building performance |
title_sort |
approach to calibrated simulation tool for improved building performance |
publishDate |
2013 |
url |
http://eprints.utm.my/id/eprint/50914/ http://dx.doi.org/10.4028/www.scientific.net/AMR.689.22 |
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1643652883645726720 |
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13.18916 |