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...

Full description

Bibliographic Details
Main Authors: Ignjatović Marko G., Blagojević Bratislav D., Stojiljković Mirko M., Anđelković Aleksandar S., Blagojević Milena B., Mitrović Dejan M.
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/37/e3sconf_clima2019_04045.pdf
id doaj-966010f3b2004a09a17c0dc3624d97ec
record_format Article
spelling 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
work_keys_str_mv AT ignjatovicmarkog energyperformanceofairconditionedbuildingsbasedonshorttermweatherforecast
AT blagojevicbratislavd energyperformanceofairconditionedbuildingsbasedonshorttermweatherforecast
AT stojiljkovicmirkom energyperformanceofairconditionedbuildingsbasedonshorttermweatherforecast
AT anđelkovicaleksandars energyperformanceofairconditionedbuildingsbasedonshorttermweatherforecast
AT blagojevicmilenab energyperformanceofairconditionedbuildingsbasedonshorttermweatherforecast
AT mitrovicdejanm energyperformanceofairconditionedbuildingsbasedonshorttermweatherforecast
_version_ 1721568883215695872