Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 115103 - 115103
Published: Nov. 1, 2024
Language: Английский
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: March 10, 2025
At present, the evaluation of comprehensive performance urban office buildings remains an area significant discussion. This research aims to optimize building in hot summer and warm winter (HSWW) region, focusing on three key aspects: energy use intensity (EUI), useful daylight illuminance (UDI), percentage thermal comfort (PTC). The study employs Hyperparameter Optimization (Hyperopt)-Categorical Boosting (CatBoost)-Strength Pareto Evolutionary Algorithm 2 (SPEA2) multi-objective optimization method, generating 3,000 datasets via Latin Hypercube Sampling (LHS). Building parameters are simulated using Ladybug Honeybee models, consumption levels predicted CatBoost model. Subsequently, Hyperopt is used hyperparameters, SPEA2 algorithm applied identify optimal solutions. results indicate that Hyperopt-CatBoost demonstrates excellent predictive performance, with R² values 0.996, 0.954, 0.985 for consumption, lighting, comfort, respectively. By (MOO) design parameters, reduced by 29.61%, lighting efficiency improves 59.61%, increases 37.69% compared original design. provides a systematic plan data support energy-saving design, improving enhancing renovation villages.
Language: Английский
Citations
0
Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 118, P. 116286 - 116286
Published: March 17, 2025
Language: Английский
Citations
0
Energies, Journal Year: 2025, Volume and Issue: 18(9), P. 2325 - 2325
Published: May 2, 2025
The use of renewables in heat production requires methods to overcome the issue asynchronous load and energy production. most effective method for analyzing intricate thermal dynamics an existing building is through transient simulation, utilizing real-world weather data. This approach offers a far more nuanced understanding than static calculations, which often fail capture dynamic interplay environmental factors performance. Transient simulations, by their nature, model building’s behavior over time, reflecting continuous fluctuations temperature, solar radiation, wind speed. Leveraging actual meteorological data enables simulation faithfully system under realistic operational scenarios. crucial evaluating effectiveness heating, ventilation, air conditioning (HVAC) systems, identifying potential inefficiencies, assessing impact various energy-saving measures. can reveal how mass absorbs releases heat, gains influence indoor temperatures, ventilation patterns affect losses. In this paper, household heating consisting source pump, PV, buffer tank simulated analyzed. 3D accurately represents geometry properties. virtual representation serves as basis calculating losses gains, considering such insulation levels, window characteristics, orientation. based on calculation EN ISO 52016-1 standard. modeled temperature sun irradiance. EBSILON professional 16.00 software 10 min time step during season. results prove that with right control efficiently increase auto consumption self-produced PV electric energy, leading reduction effects higher economic profitability.
Language: Английский
Citations
0
Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 12
Published: July 30, 2024
The majority of research predicted heating demand using linear regression models, but they did not give current building features enough context. Model problems such as Multicollinearity need to be checked and appropriate must chosen based on their significance produce accurate load predictions inferences. Numerous energy efficiency correlate with each other in the dataset. standard Ordinary Least Square has a problem when dataset shows Multicollinearity. Bayesian supervised machine learning is popular method for parameter estimation inference frequentist statistical assumptions fail. prediction output multiple collinearity needs careful data analysis. estimates hypothesis tests were significantly impacted by that occurred among This study demonstrated several shrinkage informative priors likelihood framework alternative solutions or remedies reduce manuscript tried model four distinct models prior distributions Hamiltonian Monte Carlo algorithm Regression Modeling Stan package used fit models. Several comparison assessment methods select best-fit weakly best-fitted compared Squares collinear data. numerical findings variance inflation factor, coefficient errors, sensitivity likelihoods. It suggested applied science, engineering, agriculture, health, disciplines check effect modeling better inference.
Language: Английский
Citations
1
Journal of Housing and the Built Environment, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 2, 2024
Language: Английский
Citations
0
Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 5843 - 5843
Published: Nov. 21, 2024
This article focuses on the energy performance of buildings with an emphasis consequences non-compliance technological practices during building process. We analyse impact construction deficiencies consumption heat for heating, focusing specific case studies selected constructions in Slovak Republic. The results show that prescribed standards and procedures leads to significant deterioration building’s efficiency, which is manifested increased higher operating costs. findings this study have key importance future projects as they offer valuable recommendations improving quality, thus contributing a more sustainable efficient When designing near-zero demand, it necessary eliminate all risks project arise preparation design itself, well implementation.
Language: Английский
Citations
0
Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 115103 - 115103
Published: Nov. 1, 2024
Language: Английский
Citations
0