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Record W4406634670 · doi:10.1016/j.enbenv.2025.01.003

Development of a novel biomass-wind energy system for clean hydrogen production along with other useful products for a residential community

2025· article· en· W4406634670 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnergy and Built Environment · 2025
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsBiomass (ecology)Environmental scienceWind powerProduction (economics)Clean energyHydrogen productionRenewable energyWaste managementEnvironmental engineeringEnvironmental protectionHydrogenEngineeringChemistryEconomicsOceanographyGeologyElectrical engineering

Abstract

fetched live from OpenAlex

• A novel integrated biomass-wind energy system is developed for buildings. • The system is evaluated through energy and exergy analyses. • Both economic study and environmental impact assessment are performed. • The system achieves energy and exergy efficiencies of 67.6% and 59.7%. The study presents the development of a novel integrated wind-biomass energy system designed for sustainable urban development, leveraging municipality waste and wind power energy sources. This innovative system is capable of producing multiple forms of energy, including electricity, cooling, heat, and hydrogen, addressing the diverse energy needs of urban communities. It integrates advanced thermodynamic cycles like Kalina and water electrolysis via an alkaline electrolyzer. In addition, the system uniquely combines power and refrigeration while utilizing landfills as an energy source. The designed system is thermodynamically modeled using the Engineering Equation Solver and process wise simulated by the Aspen Plus software to ensure better performance. By integrating advanced thermodynamic cycles, such as the Kalina, combined power and refrigeration systems, the overall system is then designed to maximize the utilization of biomass energy content and enhances overall performance. The thermodynamic analysis results show that the current system achieves an energy efficiency of 67.60% and an exergy efficiency of 59.70%, demonstrating its tangible performance compared to other standalone energy systems. The refrigeration system has an energetic COP of 5.41 and an exergetic COP of 1.70. Additionally, the system's hydrogen production, facilitated by an alkaline electrolyzer, reaches a rate of 5.38 kg/h, highlighting its potential to contribute to clean hydrogen energy solutions. Moreover, the exergo-environmental assessment confirms that the system is environmentally friendly. The cost assessment shows that the system reaches profitability in seven years and demonstrates growth, achieving a substantial NPV of 192.39 million dollars by 30 years, highlighting its long-term financial viability.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.021
GPT teacher head0.218
Teacher spread0.197 · 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