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Record W2017007820 · doi:10.1260/0958-305x.26.1-2.67

Future Energy Paradigm of Microgeneration Technologies for Decentralized Smart Home and Office Buildings

2015· article· en· W2017007820 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 & Environment · 2015
Typearticle
Languageen
FieldEngineering
TopicBuilding Energy and Comfort Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsTRNSYSChillerCooling loadSingle-family detached homeEngineeringHeat pumpBoiler (water heating)Chilled waterChiller boiler systemCivil engineeringMechanical engineeringEnergy (signal processing)Water coolingAir conditioningGas compressorWaste managementWater chiller

Abstract

fetched live from OpenAlex

Korea Institute of Energy Research (KIER) and Canmet Energy have initiated the joint research project in carrying out investigation and analysis of energy savings of load sharing applications featuring single detached residential and commercial buildings. Moreover, the energy savings of the system which employ ground source heat pump (GSHP), and the hybrid systems of Fuel Cell (FC) – GSHP and Photovoltaic thermal (PVT) – GSHP were also investigated and analyzed. The simple sum of residential and commercial building conventional case was considered as the reference case. The systems' performance was simulated over one full year in TRNSYS software environment under typical weather conditions for Ottawa, Canada and Incheon, Republic of Korea. Reference and advanced load sharing cases were simulated and analyzed in terms of thermal/cooling load satisfied and operational and capital energy savings. These cases were systematically summarized into seven cases, as following: Case 1 is utilizing conventional set up – boiler and chiller to meet heating and cooling demands of a single detached house. Case 2 is utilizing the same conventional set up as Case 1 – boiler and chiller to meet heating and cooling demands of an office building that has the same layout as the house in Case 1. Case 3 is a simple summation of Case 1 and Case 2 systems and loads. Case 4 is a load sharing setup featuring common boiler and chiller used to meet the combined loads of the house and office. Case 5 is a load sharing case utilizing a ground source heat pump (GSHP) to meet the combined loads of the house and office. Case 6 is a load sharing case where a hybrid PEM fuel cell (FC)/ground source heat pump (GSHP) system is used to meet the combined loads of the house and office. Case 7 is a load sharing case where a hybrid Photovoltaic Thermal (PVT)/ground source heat pump (GSHP) system is used to meet the combined loads of the house and office. The simulation results show that by using the same equipment with different capacities the load sharing system can achieve operational energy saving of 3–4 % in comparison to the reference system. Furthermore, Case 5, Case 6, and Case 7 were able to save energy up to 40%, 25%, and 57% in comparison to the case 3 respectively.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

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

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 head0.007
GPT teacher head0.170
Teacher spread0.164 · 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