Title
Energetske performanse klimatizovanih objekata na bazi kratkoročne vremenske prognoze
Creator
Ignjatović, Marko G.,1980-
Copyright date
2018
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
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Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 30.03.2018.
Other responsibilities
mentor
Blagojević, Bratislav
član komisije
Stojanović, Branislav 1953-
član komisije
Mitrović, Dejan
član komisije
Anđelković, Aleksandar
član komisije
Stojiljković, Mirko 1980-
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Nišu
Faculty
Mašinski fakultet
Group
Katedra za termotehniku, termoenergetiku i procesnu tehniku
Alternative title
Energy performance of air conditioned buildings based on short-term weather forecast
Publisher
[M. G. Ignjatović]
Format
XII, 166 listova
description
Bibliografija: listovi 154-165
description
Thermal and process engineering
Abstract (en)
Today, most sophisticated numerical methods for predicting building energy consumption are
implemented in building energy performance simulation tools. 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, i.e. optimal daily operation
strategies must be defined for HVAC systems. Methodology to create HVAC system operation
strategies on a daily basis is presented in this doctoral dissertation. Methodology is based on using
building energy performance simulation software EnergyPlus, data available in short-term weather
forecasts, global sensitivity analysis, and for the purpose of this research, developed software. The
developed software includes particle swarm optimization method, applied over the moving horizon
(planning horizon) thus enabling the use of short-term weather forecasts, with necessary
calculations being performed by the chosen simulation tool. Global sensitivity analysis, also
performed with the same tool, is used in order to reduce number of input variables for the
optimization process. The methodology is applied to real combined-type building in Niš. Objective
function of the research is to reduce building energy consumption while satisfying constraints set on
thermal comfort in one part of the building. Planning horizon is set to two days, while the resulting
strategies are being implemented only on the first day of this horizon. The process repeats for every
new planning horizon. The results of the methodology are experimentally verified in real building.
The results show that applying this methodology leads to improvement in thermal comfort in most
of the premises by using more energy, compared to usual building operation, so it offers a
possibility to balance between building energy consumption and thermal comfort. Use of sensitivity
analysis as a first step in determining daily building operation strategies, showed that the reduced
number of input variables for the optimization would lead to similar thermal comfort and building
energy consumption. Since the research was performed for the real building, building energy model
calibration was performed in order to make model accurately reproduce the behavior of the real
building.
Authors Key words
detaljne energetske simulacije zgrada; optimizacija radnih parametara;
sistemi grejanja i klimatizacije; toplotni komfor; energetska efikasnost;
EnergyPlus
Authors Key words
building energy performance simulation; operation optimization;
heating and air conditioning systems; thermal comfort; energy
efficiency; EnergyPlus
Classification
697:551.509.31:[004.94:728(043.3)
Subject
T200
Type
Elektronska teza
Abstract (en)
Today, most sophisticated numerical methods for predicting building energy consumption are
implemented in building energy performance simulation tools. 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, i.e. optimal daily operation
strategies must be defined for HVAC systems. Methodology to create HVAC system operation
strategies on a daily basis is presented in this doctoral dissertation. Methodology is based on using
building energy performance simulation software EnergyPlus, data available in short-term weather
forecasts, global sensitivity analysis, and for the purpose of this research, developed software. The
developed software includes particle swarm optimization method, applied over the moving horizon
(planning horizon) thus enabling the use of short-term weather forecasts, with necessary
calculations being performed by the chosen simulation tool. Global sensitivity analysis, also
performed with the same tool, is used in order to reduce number of input variables for the
optimization process. The methodology is applied to real combined-type building in Niš. Objective
function of the research is to reduce building energy consumption while satisfying constraints set on
thermal comfort in one part of the building. Planning horizon is set to two days, while the resulting
strategies are being implemented only on the first day of this horizon. The process repeats for every
new planning horizon. The results of the methodology are experimentally verified in real building.
The results show that applying this methodology leads to improvement in thermal comfort in most
of the premises by using more energy, compared to usual building operation, so it offers a
possibility to balance between building energy consumption and thermal comfort. Use of sensitivity
analysis as a first step in determining daily building operation strategies, showed that the reduced
number of input variables for the optimization would lead to similar thermal comfort and building
energy consumption. Since the research was performed for the real building, building energy model
calibration was performed in order to make model accurately reproduce the behavior of the real
building.
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