Framework for Dataset Development in Building Energy Balance Simulations

The article presents a structured approach to forming initial datasets necessary for calculating the energy balance of buildings, tailored to the district's level of digitalization. The methodology outlined addresses the often-neglected step of data preparation, which critically influences the outcomes of energy balance simulations. Two distinct process flows for dataset formation are introduced, reflecting high and medium levels of district digitalization. The paper’s novelty lies in formalizing the dataset creation process, enabling more accurate energy simulations, particularly in the early planning stages of positive energy districts.

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Publication Details

Journal
Modeling Control and Information Technologies
Published
2024-12-11
DOI
https://doi.org/10.31713/mcit.2024.065
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
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article

Framework for Dataset Development in Building Energy Balance Simulations

Nadezhda E. Orlova, Svitlana Alyokhina
Modeling Control and Information Technologies
Building Energy and Comfort Optimization
article

Framework for Dataset Development in Building Energy Balance Simulations

Nadezhda E. Orlova, Svitlana Alyokhina
article en

Abstract

The article presents a structured approach to forming initial datasets necessary for calculating the energy balance of buildings, tailored to the district's level of digitalization. The methodology outlined addresses the often-neglected step of data preparation, which critically influences the outcomes of energy balance simulations. Two distinct process flows for dataset formation are introduced, reflecting high and medium levels of district digitalization. The paper’s novelty lies in formalizing the dataset creation process, enabling more accurate energy simulations, particularly in the early planning stages of positive energy districts.

Modeling Control and Information Technologies(7)
University of Applied Sciences Technikum Wien (AT), National Academy of Sciences of Ukraine (UA)
Sustainable cities and communities, Affordable and clean energy
Openalex Percentile: Top 76%
Building Energy and Comfort Optimization
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