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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&apos;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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • 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