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ENERGY EFFICIENCY IN RESIDENTIAL BUILDINGS: ANALYSIS OF NATIONAL ANDINTERNATIONAL EXPERIENCE

2025· article· W7116853813 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMunicipal economy of cities · 2025
Typearticle
Language
FieldEngineering
TopicConstruction Management and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsEfficient energy useZero-energy buildingDirectiveRoofRenewable energyBuilding scienceCertificationASHRAE 90.1Passive solar building designPassive house

Abstract

fetched live from OpenAlex

The article provides a comprehensive analytical review of contemporary approaches to energy-efficient residential building design, comparing practices in Ukraine with those established in Western countries. The study examines the regulatory and legal framework that governs the design, construction, and certification of buildings according to energy efficiency criteria, highlighting the evolution of standards and their impact on the construction industry. A detailed comparison is conducted between Ukrainian building codes (DBNs) and state standards (DSTUs) and their European, American, and Canadian counterparts, including the Energy Performance of Buildings Directive (EPBD), ISO 52000 series, ASHRAE 90.1, and the National Energy Code of Canada for Buildings (NECB). This comparative analysis reveals significant disparities in methodology, calculation procedures, and minimum energy performance requirements. The research demonstrates that Western standards incorporate more comprehensive approaches to lifecycle assessment, renewable energy integration, and occupant behavior modeling, while Ukrainian regulations are gradually transitioning toward these advanced methodologies. Based on the practical example of the Lofthouse cottage in the Netherlands, the article illustrates a technological model of an energy-efficient building that exemplifies Nearly Zero Energy Building (NZEB) principles. The study explores critical design considerations including optimal building orientation for passive solar gain, advanced structural solutions for foundations that minimize thermal bridging, high-performance wall assemblies with enhanced insulation values, innovative roof systems that integrate renewable energy generation, high-efficiency windows with low U-values, and sophisticated mechanical ventilation systems with heat recovery capabilities. The article systematically identifies the principal differences between Ukrainian and Western design models, focusing on aspects such as energy modeling requirements, thermal performance standards, air tightness specifications, and renewable energy obligations. These differences represent both challenges and opportunities for the Ukrainian construction sector as it seeks to align with European Union energy efficiency directives. Based on this analysis, the research formulates practical recommendations for harmonizing Ukraine's regulatory framework with international best practices and accelerating the implementation of NZEB technologies in Ukrainian residential construction. The recommendations address policy development, professional training, technology transfer mechanisms, and financial incentive structures. The results demonstrate that the adoption of modern energy-efficient technologies and design principles can reduce energy consumption in Ukrainian residential buildings by 40-60% compared to conventional construction methods. Furthermore, economic analysis indicates that despite higher initial capital costs, these investments achieve financial viability with payback periods of 10-12 years, considering current energy prices and available subsidy programs. These findings underscore the significant potential for improving Ukraine's building stock performance while reducing environmental impact and enhancing energy security.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.256
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it