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Energy Performance Certificate of the Building
Lněnička, Petr ; Vyhlídalová, Karolína (referee) ; Horák, Petr (advisor)
This bachelor thesis deals with the evaluation of the energy performance of the Mars hotel in Špindlerův Mlýn. The theoretical part of this thesis is focused on the conversion of sunlight into electric power using solar-powered photovoltaics. The practical part is focused on the analysis of energy consumption and energy flux of the inspected building. The final part C concerns about the result of this thesis – the energy performance certificate of the analyzed building.
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Energy Performance Certificate of the Building
Lněnička, Petr ; Vyhlídalová, Karolína (referee) ; Horák, Petr (advisor)
This bachelor thesis deals with the evaluation of the energy performance of the Mars hotel in Špindlerův Mlýn. The theoretical part of this thesis is focused on the conversion of sunlight into electric power using solar-powered photovoltaics. The practical part is focused on the analysis of energy consumption and energy flux of the inspected building. The final part C concerns about the result of this thesis – the energy performance certificate of the analyzed building.
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Fuzzy Model of Investor´s Decision into Photovoltaic Technologies During Pre-Design Phase
Pavlíček, Michal ; Brožová, Helena (referee) ; Čapek, Jan (referee) ; Koráb, Vojtěch (referee) ; Dohnal, Mirko (advisor)
Dissertation deals with fuzzy knowledge base supporting investor’s investment decision into the photovoltaic technologies during pre-design phase, when the engineering solution is not known yet. Probably, majority of investors have particular image about the cost and risk coming from investment into the photovoltaic technologies. However, this image is limited to the restricted knowledge areas of each investor. During the period, when the investor is planning investment into the costly photovoltaic technologies at complex, vague and heavily qualified information about the conditions and risks of investment in the specific region, where the environment is constantly inconsistent and multidimensional, it is possible to solve this complex situation with fuzzy logic. This dissertation is focusing on creation of fuzzy knowledge base with selected installed projects in Europe since 2008 and its use with expert system. Furthermore, is covering the definition and description of the variables, which are included in the investor decision making process. The complete designed architecture of the fuzzy knowledge base is tuned and five projects with different size are tested. The fuzzy knowledge base consists of overall 24 variables and 187 statements.
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Energy Performance Certificate of the Building
Lněnička, Petr ; Vyhlídalová, Karolína (referee) ; Horák, Petr (advisor)
This bachelor thesis deals with the evaluation of the energy performance of the Mars hotel in Špindlerův Mlýn. The theoretical part of this thesis is focused on the conversion of sunlight into electric power using solar-powered photovoltaics. The practical part is focused on the analysis of energy consumption and energy flux of the inspected building. The final part C concerns about the result of this thesis – the energy performance certificate of the analyzed building.
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|
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Energy Performance Certificate of the Building
Lněnička, Petr ; Vyhlídalová, Karolína (referee) ; Horák, Petr (advisor)
This bachelor thesis deals with the evaluation of the energy performance of the Mars hotel in Špindlerův Mlýn. The theoretical part of this thesis is focused on the conversion of sunlight into electric power using solar-powered photovoltaics. The practical part is focused on the analysis of energy consumption and energy flux of the inspected building. The final part C concerns about the result of this thesis – the energy performance certificate of the analyzed building.
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|
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Fuzzy Model of Investor´s Decision into Photovoltaic Technologies During Pre-Design Phase
Pavlíček, Michal ; Brožová, Helena (referee) ; Čapek, Jan (referee) ; Koráb, Vojtěch (referee) ; Dohnal, Mirko (advisor)
Dissertation deals with fuzzy knowledge base supporting investor’s investment decision into the photovoltaic technologies during pre-design phase, when the engineering solution is not known yet. Probably, majority of investors have particular image about the cost and risk coming from investment into the photovoltaic technologies. However, this image is limited to the restricted knowledge areas of each investor. During the period, when the investor is planning investment into the costly photovoltaic technologies at complex, vague and heavily qualified information about the conditions and risks of investment in the specific region, where the environment is constantly inconsistent and multidimensional, it is possible to solve this complex situation with fuzzy logic. This dissertation is focusing on creation of fuzzy knowledge base with selected installed projects in Europe since 2008 and its use with expert system. Furthermore, is covering the definition and description of the variables, which are included in the investor decision making process. The complete designed architecture of the fuzzy knowledge base is tuned and five projects with different size are tested. The fuzzy knowledge base consists of overall 24 variables and 187 statements.
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Fuzzy Model of Investor´s Decision into Photovoltaic Technologies During Pre-Design Phase
Pavlíček, Michal ; Brožová, Helena (referee) ; Čapek, Jan (referee) ; Koráb, Vojtěch (referee) ; Dohnal, Mirko (advisor)
Dissertation deals with fuzzy knowledge base supporting investor’s investment decision into the photovoltaic technologies during pre-design phase, when the engineering solution is not known yet. Probably, majority of investors have particular image about the cost and risk coming from investment into the photovoltaic technologies. However, this image is limited to the restricted knowledge areas of each investor. During the period, when the investor is planning investment into the costly photovoltaic technologies at complex, vague and heavily qualified information about the conditions and risks of investment in the specific region, where the environment is constantly inconsistent and multidimensional, it is possible to solve this complex situation with fuzzy logic. This dissertation is focusing on creation of fuzzy knowledge base with selected installed projects in Europe since 2008 and its use with expert system. Furthermore, is covering the definition and description of the variables, which are included in the investor decision making process. The complete designed architecture of the fuzzy knowledge base is tuned and five projects with different size are tested. The fuzzy knowledge base consists of overall 24 variables and 187 statements. The fuzzy knowledge base is tested with 5 projects.
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