Formation analysis of cooling load from envelopes under air-conditioning intermittent operation

Solar Energy, Год журнала: 2025, Номер 292, С. 113428 - 113428

Опубликована: Март 15, 2025

Язык: Английский

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Energy-Efficient Concrete Roofs for Buildings: Integrating Macroencapsulated Nano-Enhanced PCMs for Hot Climate Adaptation

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105744 - 105744

Опубликована: Янв. 1, 2025

Язык: Английский

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Determination of Optimum Passive Design Parameters for Industrial Buildings in Different Climate Zones Using an Energy Performance Optimization Model Based on an Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO)

Sustainability, Год журнала: 2025, Номер 17(6), С. 2357 - 2357

Опубликована: Март 7, 2025

With a focus on reducing building energy consumption, approaches that simultaneously optimize multiple passive design parameters in industrial buildings have received limited attention. Most existing studies tend to examine geometry or individual under scenarios, underscoring the potential benefits of adopting comprehensive, multiparameter approach integrates climate-responsive and sustainable strategies. This study bridges gap by systematically optimizing key parameters—building geometry, orientation, window-to-wall ratio (WWR), glazing type—to minimize loads enhance sustainability across five distinct climate zones. Fifteen different geometries with equal floor areas volumes were analyzed, considering fifteen types orientations varying 30° increments. DesignBuilder simulations yielded 16,900 results, due inherent challenges directly within simulation environments, data restructured reveal underlying relationships. An Energy Performance Optimization Model, based Particle Swarm (PSO) algorithm integrated an Artificial Neural Network (ANN), was developed identify optimal solutions tailored specific climatic conditions. The optimization results successfully determined combinations WWR, type reduce heating cooling loads, thereby promoting efficiency carbon emissions buildings. offers practical solution set provides architects actionable recommendations during early phase, establishing machine learning-based framework for achieving sustainable, energy-efficient, designs.

Язык: Английский

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Prescriptive tool for zero-emissions building fenestration design using hybrid metaheuristic algorithms

Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115594 - 115594

Опубликована: Март 1, 2025

Язык: Английский

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An Innovative Multi-Story Trombe Wall as a Passive Cooling and Heating Technique in Hot Climate Regions: A Simulation-Optimization Study

Buildings, Год журнала: 2025, Номер 15(7), С. 1150 - 1150

Опубликована: Апрель 1, 2025

This study develops an optimized multi-story Trombe Wall (MTW) as a hybrid passive system for heating, cooling, and PV electricity generation. Unlike previous research, which focused on single-story applications heating efficiency, this explores MTW performance in hot climates. The methodology includes four phases: identifying TW design parameters, selecting validating case study, applying two-stage optimization, developing predictive equations. Results show that the achieves up to 1.94 °C decrease cooling mode, 1.56 increase 40% thermal comfort hours, 31% rise annual Finally, developed regression models demonstrated strong capability (R2 = 70.2–95.73%) discomfort proposed provides cost-effective sustainable solution, supporting designers researchers optimizing building performance.

Язык: Английский

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The energy-saving renovation benefits of container house envelope structures in cold regions

Advances in Building Energy Research, Год журнала: 2025, Номер unknown, С. 1 - 24

Опубликована: Апрель 28, 2025

Язык: Английский

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PSAT: A knowledge-based decision support tool for selecting passive energy consumption optimisation strategies in buildings

Energy and Buildings, Год журнала: 2025, Номер unknown, С. 115849 - 115849

Опубликована: Май 1, 2025

Язык: Английский

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Analysis of efficient building for energy conversion and storage using phase change material

E3S Web of Conferences, Год журнала: 2024, Номер 507, С. 01076 - 01076

Опубликована: Янв. 1, 2024

Building energy efficiency is now a top priority because of the major negative effects that may happen on society, economy, and environment. In various parts world, several researchers have worked ways achieving methods can use phasechange materials as thermal storage. This these technologies potential to greatly reduce consumption when combined with solar power. PCMs store in quite different than ordinary construction materials. These make latent heat rather sensible heat. Therefore, phase-changed possess notable advantage over storage respect storing releasing As result, this paper was concerned exploring possibility building conversion systems using phase change material.

Язык: Английский

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Building-integrated passive and renewable solar technologies: A review from 3E perspectives

Sustainable Energy Technologies and Assessments, Год журнала: 2024, Номер 72, С. 104079 - 104079

Опубликована: Ноя. 14, 2024

Язык: Английский

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Investigating the Potential of Evaluation Based on Distance from Average Solution (EDAS) Method in Crisp and Fuzzy Environments for Solving Building Energy Consumption Optimisation Multiple Attribute Decision-Making (MADM) Problems

Lecture notes in energy, Год журнала: 2024, Номер unknown, С. 273 - 296

Опубликована: Янв. 1, 2024

Язык: Английский

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