Energy performance of air conditioned buildings based on short-term weather forecast
One of the possible ways to improve balance between building energy consumption and occupant thermal comfort in existing buildings is to use simulation-assisted operation of HVAC systems. Simulation-assisted operation can be formulated as a type of operation that implements knowledge of future distu...
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doaj-966010f3b2004a09a17c0dc3624d97ec2021-04-02T12:27:37ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011110404510.1051/e3sconf/201911104045e3sconf_clima2019_04045Energy performance of air conditioned buildings based on short-term weather forecastIgnjatović Marko G.0Blagojević Bratislav D.1Stojiljković Mirko M.2Anđelković Aleksandar S.3Blagojević Milena B.4Mitrović Dejan M.5University of Niš, Faculty of Mechanical Engineering in NišUniversity of Niš, Faculty of Mechanical Engineering in NišUniversity of Niš, Faculty of Mechanical Engineering in NišUniversity of Novi Sad, Faculty of Technical Sciences in Novi Sad, 6 Dositeja Obradovića squareUniversity of Florence, Department of Architecture, via della Mattonaia n.14University of Niš, Faculty of Mechanical Engineering in NišOne of the possible ways to improve balance between building energy consumption and occupant thermal comfort in existing buildings is to use simulation-assisted operation of HVAC systems. Simulation-assisted operation can be formulated as a type of operation that implements knowledge of future disturbance acting on the building and that enables operating the systems in such a way to fulfill given goals, which in nature can often be contradictory. The most important future conditions on building energy consumption are weather parameters and occupant behavior and expectations of thermal environment. In order to achieve this type of operation, optimization methods must be applied. Methodology to create HVAC system operation strategies on a daily basis is presented. Methodology is based on using building energy performance simulation software EnergyPlus, available weather data, global sensitivity analysis, and custom developed software with particle swarm optimization method applied over the moving horizon. Global sensitivity analysis is used in order to reduce number of independent variables for the optimization process. The methodology is applied to office part of real combined-type building located in Niš, Serbia. Use of sensitivity analysis shows that the reduced number of independent variables for the optimization would lead to similar thermal comfort and energy consumption, with significant computer runtime reduction.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/37/e3sconf_clima2019_04045.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ignjatović Marko G. Blagojević Bratislav D. Stojiljković Mirko M. Anđelković Aleksandar S. Blagojević Milena B. Mitrović Dejan M. |
spellingShingle |
Ignjatović Marko G. Blagojević Bratislav D. Stojiljković Mirko M. Anđelković Aleksandar S. Blagojević Milena B. Mitrović Dejan M. Energy performance of air conditioned buildings based on short-term weather forecast E3S Web of Conferences |
author_facet |
Ignjatović Marko G. Blagojević Bratislav D. Stojiljković Mirko M. Anđelković Aleksandar S. Blagojević Milena B. Mitrović Dejan M. |
author_sort |
Ignjatović Marko G. |
title |
Energy performance of air conditioned buildings based on short-term weather forecast |
title_short |
Energy performance of air conditioned buildings based on short-term weather forecast |
title_full |
Energy performance of air conditioned buildings based on short-term weather forecast |
title_fullStr |
Energy performance of air conditioned buildings based on short-term weather forecast |
title_full_unstemmed |
Energy performance of air conditioned buildings based on short-term weather forecast |
title_sort |
energy performance of air conditioned buildings based on short-term weather forecast |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2019-01-01 |
description |
One of the possible ways to improve balance between building energy consumption and occupant thermal comfort in existing buildings is to use simulation-assisted operation of HVAC systems. Simulation-assisted operation can be formulated as a type of operation that implements knowledge of future disturbance acting on the building and that enables operating the systems in such a way to fulfill given goals, which in nature can often be contradictory. The most important future conditions on building energy consumption are weather parameters and occupant behavior and expectations of thermal environment. In order to achieve this type of operation, optimization methods must be applied. Methodology to create HVAC system operation strategies on a daily basis is presented. Methodology is based on using building energy performance simulation software EnergyPlus, available weather data, global sensitivity analysis, and custom developed software with particle swarm optimization method applied over the moving horizon. Global sensitivity analysis is used in order to reduce number of independent variables for the optimization process. The methodology is applied to office part of real combined-type building located in Niš, Serbia. Use of sensitivity analysis shows that the reduced number of independent variables for the optimization would lead to similar thermal comfort and energy consumption, with significant computer runtime reduction. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/37/e3sconf_clima2019_04045.pdf |
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