Energy Centers in a Smart City as a Platform for the Application of Artificial Intelligence and the Internet of Things

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F22%3A00365659" target="_blank" >RIV/68407700:21110/22:00365659 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.3390/app12073386" target="_blank" >https://doi.org/10.3390/app12073386</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app12073386" target="_blank" >10.3390/app12073386</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Energy Centers in a Smart City as a Platform for the Application of Artificial Intelligence and the Internet of Things

Popis výsledku v původním jazyce

A fundamental strategy of addressing the energy performance of buildings (EPB) and creating conditions for energy sustainability in applying renewable energy sources (RES) is the effective management of building technical equipment. The buildings in question are buildings within a cluster of buildings. The building cluster can be considered as a unit that is, in the sense of the system concept, a part of a subdivision of the city and subsequently of the whole urban agglomeration. We are talking about smart cities. The control system of a building and, subsequently, smart cities is a process management system using artificial intelligence (AI). In order to achieve the desired effects, such as “near-zero energy buildings”, as required by the European Energy Performance of Buildings Directive (EPBD 3), the application of AI needs to be shifted towards wireless network connection, i.e., “Internet of Things” (IoT) application. The aim is to create conditions for reducing energy consumption, improving environmental comfort in buildings and reducing CO2 emissions. This paper further analyzes the current state of IoT and the implementation thereof in the process management of sustainable energy at the smart city level as a basic element of a smart city system applied to building management.

Název v anglickém jazyce

Energy Centers in a Smart City as a Platform for the Application of Artificial Intelligence and the Internet of Things

Popis výsledku anglicky

A fundamental strategy of addressing the energy performance of buildings (EPB) and creating conditions for energy sustainability in applying renewable energy sources (RES) is the effective management of building technical equipment. The buildings in question are buildings within a cluster of buildings. The building cluster can be considered as a unit that is, in the sense of the system concept, a part of a subdivision of the city and subsequently of the whole urban agglomeration. We are talking about smart cities. The control system of a building and, subsequently, smart cities is a process management system using artificial intelligence (AI). In order to achieve the desired effects, such as “near-zero energy buildings”, as required by the European Energy Performance of Buildings Directive (EPBD 3), the application of AI needs to be shifted towards wireless network connection, i.e., “Internet of Things” (IoT) application. The aim is to create conditions for reducing energy consumption, improving environmental comfort in buildings and reducing CO2 emissions. This paper further analyzes the current state of IoT and the implementation thereof in the process management of sustainable energy at the smart city level as a basic element of a smart city system applied to building management.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Applied Sciences

ISSN

2076-3417

e-ISSN

2076-3417

Svazek periodika

12

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

45

Strana od-do

—

Kód UT WoS článku

000783110200001

EID výsledku v databázi Scopus

2-s2.0-85127545839