Deep Reinforcement Learning-based Plug-in Electric Vehicle Charging/Discharging Scheduling in a Home Energy Management System

Energy, Год журнала: 2025, Номер unknown, С. 134420 - 134420

Опубликована: Янв. 1, 2025

Язык: Английский

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Application of a multi-objective approach integrating solar-wind co-generation with response surface method to optimize zero-energy buildings

Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 125637 - 125637

Опубликована: Янв. 1, 2025

Язык: Английский

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Zero energy building optimization for a residential complex with a new optimized cogeneration system for electricity, cooling, heating and freshwater production

Applied Thermal Engineering, Год журнала: 2024, Номер 244, С. 122527 - 122527

Опубликована: Фев. 14, 2024

Язык: Английский

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Quantifying the flexibility potential of electric vehicles in buildings and determining the investment strategy for charging infrastructure

eTransportation, Год журнала: 2025, Номер unknown, С. 100403 - 100403

Опубликована: Фев. 1, 2025

Язык: Английский

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Application of PCM in a Zero-Energy Building and Using a CCHP System Based on Geothermal Energy in Canada and the UAE

Buildings, Год журнала: 2024, Номер 14(2), С. 477 - 477

Опубликована: Фев. 8, 2024

In this research, the optimization of energy consumption zero-energy buildings using PCMs in two study cities Vancouver and Dubai its supply with a multi-generation geothermal system is discussed. used walls roofs designed are types, namely PCM (solid) (liquid). By optimizing residential complex cities, it finally possible to choose best mode optimal conditions reduce complex, costs environmental pollution. The results showed that amount electricity consumption, heating, cooling during year city 8493.55, 7899.1, 1083.97 kWh, respectively, Dubai, values 9572.1, 8.99, 18,845.44 kW, respectively. Also, by complexes CO2 emissions 2129.7 2773.2 kg/year, 11.26% carbon dioxide emission 23.20% more. end, proposed meet six-unit 120 m2 bedrooms Vancouver, Canada. setting up 237,364.6 kWh electricity, 425,959.4 304,732.8 can be produced one year. According investigation, easily provide required buildings.

Язык: Английский

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Towards sustainable urban living: A holistic energy strategy for electric vehicle and heat pump adoption in residential communities

Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105412 - 105412

Опубликована: Апрель 11, 2024

Electric vehicles (EVs) and heat pumps (HPs) are key in reducing carbon emissions from transportation domestic heating, yet their adoption may increase peak load demands on electrical networks. One of the aims this research is to assess potential impact uncontrolled EV charging community-scale distribution networks, exploring how could stress existing infrastructure. It also explores role EVs Vehicle-to-Grid (V2G) smart applications, aiming enhance community systems. The study investigates maximum stabilisation level achievable under various scenarios, highlighting importance energy management integrating renewable addressing uncertainties modelling process. Additionally, discusses proposed systems' scalability, consumer behaviours' suggested solutions, implications recent technological advancements for simulated communities. employs a sophisticated, integrative approach, combining stochastic methods with several robust software. Key findings suggest that can lead grid capacity issues at high penetration levels, particularly during colder months. While V2G technologies moderate loads many achieving 100% sustainable technology integration requires enhanced or increased network capacity, especially winter. Wind solar power demonstrates strategic complementarity, winter, enhancing reliability stability grid. observed generation hours misalign community's highest demand times, posing challenges utilisation residential-based areas.

Язык: Английский

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Large-scale EV charging scheduling considering on-site PV generation by combining an aggregated model and sorting-based methods

Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105453 - 105453

Опубликована: Апрель 22, 2024

Large-scale electric vehicle (EV) charging scheduling is highly relevant for the growing number of EVs, while it can be complex to solve. A few existing studies have applied a two-stage approach reduce computation time. The first stage approximates optimal overall load, and second prioritizes charging. This work also attempts apply such an large-scale EV considering on-site photovoltaic (PV) generation at workplace. However, validation analysis are missing address whether why suitable. Besides, lack exploring different methods prioritize investigates approach. Simulation results show non-uniqueness solution from individual model, guided by sorting-based often lead solution, non-optimal solutions only cause decreases in load-matching performance with median value less than 1%. aggregated model usually cannot achieve load due simplifications. further applying will differences between final load. Thus, suitable this study, simulations that almost annual around 1/57 Furthermore, study explores no difference performance, Least Laxity First method leads 54.6% more switching.

Язык: Английский

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Optimal sizing of PV-Wind generators with a smart EV charging framework to build grid friendly Net Zero Energy Campus

Sustainable Cities and Society, Год журнала: 2024, Номер 111, С. 105575 - 105575

Опубликована: Июнь 6, 2024

Язык: Английский

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Integration of smart buildings with high penetration of storage systems in isolated 100 % renewable microgrids

Journal of Energy Storage, Год журнала: 2024, Номер 105, С. 114633 - 114633

Опубликована: Ноя. 22, 2024

Язык: Английский

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Electric vehicle-based distant energy sharing between zero-emission coastal office and hotel buildings

Journal of Building Engineering, Год журнала: 2024, Номер 90, С. 109496 - 109496

Опубликована: Май 1, 2024

Язык: Английский

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