Simplified Energy Model and Multi-Objective Energy Consumption Optimization of a Residential House
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F22%3A39919185" target="_blank" >RIV/00216275:25530/22:39919185 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2076-3417/12/20/10212" target="_blank" >https://www.mdpi.com/2076-3417/12/20/10212</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app122010212" target="_blank" >10.3390/app122010212</a>
Alternative languages
Result language
angličtina
Original language name
Simplified Energy Model and Multi-Objective Energy Consumption Optimization of a Residential House
Original language description
Featured Application The potential application of the proposed model is a computationally inexpensive semi- or fully automated system for the optimization of operation in residential buildings in terms of energy consumption. Some analyses state that buildings contribute to overall energy consumption by 20-40%, which, in the context of the recent geopolitical energy crisis, makes them a critical issue to study. Finding solutions for better energy management in buildings can have a significant impact on the energy sector, thus reducing EU energy dependencies and contributing to the fulfillment of the REPowerEU goals. This paper focuses on proposing a simplified model of a residential house considering the main appliances, heating and cooling, a photovoltaic system, and electric vehicle recharging. Weather and solar irradiance forecasts are taken into account. The model predicts the energy demands of a house based on online weather forecasts and the desired indoor temperature. The article also focuses on the analysis of how weather forecast uncertainty affects energy demand prediction. This model can be used to better understand and predict the energy demand of either a single house or a set of houses. A multi-objective optimization approach that takes into account the preferences of users/inhabitants is developed to provide a compromise between the price paid for the electricity and temperature comfort. The authors plan to apply the proposed model to a residential house's real-time control system. The model will be tuned, its predictions will be tested, and it will be used for energy demand optimization.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Science - Basel
ISSN
2076-3417
e-ISSN
2076-3417
Volume of the periodical
12
Issue of the periodical within the volume
20
Country of publishing house
CH - SWITZERLAND
Number of pages
20
Pages from-to
nestrankovano
UT code for WoS article
000872302600001
EID of the result in the Scopus database
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