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Record W4412621758 · doi:10.1186/s42162-026-00673-2

Activating the Electrical Energy Flexibility of Residential Thermal Systems an Analysis of Non-Technical Barriers in Six Countries

2025· preprint· en· W4412621758 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

VenueEnergy Informatics · 2025
Typepreprint
Languageen
FieldEnergy
TopicEnergy Efficiency and Management
Canadian institutionsnot available
Fundersnot available
KeywordsFlexibility (engineering)ThermalBusinessEnvironmental economicsEnvironmental scienceEconomicsPhysicsThermodynamics

Abstract

fetched live from OpenAlex

Abstract Decentralised energy flexibility in electricity systems faces a range of non-technical barriers that constrain widespread implementation. This study focuses on flexibility from residential heat pumps (HP), especially in combination with thermally activated building systems (TABS). It provides a comparative analysis of regulatory, financial and stakeholder-related barriers in Austria, Belgium, Canada, Denmark, Germany and Spain. Besides these types of barriers, the cross-country analytical framework is structured around specific flexibility use cases and utilisation mechanisms, which are schemes and market structures through which end-users’ flexibility can be activated. The analysis is based on expert consultations and a systematic review of scientific literature, offering insights into the multi-dimensional nature of the identified barriers. The findings highlight a significant disconnect between the technological availability of flexibility from residential heating systems and implementation. The main identified barriers are perceived high initial costs in combination with uncertain return on investments, insufficient awareness among end-users and professionals, reinforced by the insufficiently adopted regulatory setting. Insufficient regulatory consideration was identified, particularly for TABS, shortcomings in current energy policy frameworks were observed.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.267
Teacher spread0.257 · 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