Journal of Energy Storage, Год журнала: 2024, Номер 103, С. 114167 - 114167
Опубликована: Окт. 25, 2024
Язык: Английский
Journal of Energy Storage, Год журнала: 2024, Номер 103, С. 114167 - 114167
Опубликована: Окт. 25, 2024
Язык: Английский
Journal of Energy Storage, Год журнала: 2023, Номер 72, С. 108552 - 108552
Опубликована: Авг. 9, 2023
Язык: Английский
Процитировано
25Sustainable Cities and Society, Год журнала: 2024, Номер 103, С. 105256 - 105256
Опубликована: Фев. 7, 2024
Язык: Английский
Процитировано
17Energy and Buildings, Год журнала: 2024, Номер 321, С. 114661 - 114661
Опубликована: Авг. 10, 2024
Язык: Английский
Процитировано
17Thermo, Год журнала: 2024, Номер 4(1), С. 100 - 139
Опубликована: Март 6, 2024
Given the climate change in recent decades and ever-increasing energy consumption building sector, research is widely focused on green revolution ecological transition of buildings. In this regard, artificial intelligence can be a precious tool to simulate optimize performance, as shown by plethora studies. Accordingly, paper provides review more than 70 articles from years, i.e., mostly 2018 2023, about applications machine/deep learning (ML/DL) forecasting performance buildings their simulation/control/optimization. This was conducted using SCOPUS database with keywords “buildings”, “energy”, “machine learning” “deep selecting papers addressing following applications: design/retrofit optimization, prediction, control/management heating/cooling systems renewable source systems, and/or fault detection. Notably, discusses main differences between ML DL techniques, showing examples use The aim group most frequent ML/DL techniques used field highlighting potentiality limitations each one, both fundamental aspects for future approaches considered are decision trees/random forest, naive Bayes, support vector machines, Kriging method neural networks. investigated convolutional recursive networks, long short-term memory gated recurrent units. Firstly, various explained divided based methodology. Secondly, grouping aforementioned occurs. It emerges that efficiency issues while management systems.
Язык: Английский
Процитировано
12Results in Engineering, Год журнала: 2025, Номер unknown, С. 104356 - 104356
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
2Journal of Energy Storage, Год журнала: 2025, Номер 114, С. 115850 - 115850
Опубликована: Фев. 22, 2025
Язык: Английский
Процитировано
2Energy Conversion and Management, Год журнала: 2023, Номер 292, С. 117420 - 117420
Опубликована: Июль 20, 2023
As part of the transition to a sustainable future, energy-efficient buildings are needed secure users' comfort and lower built environment's energy footprint associated emissions. This article presents novel, realistic affordable solution minimize smart building systems enable higher renewable use in sector. For this, an intelligent system is being developed using rule-based automation approach that considers thermal comfort, prices, meteorological data, primary use. In order installation cost environmental footprint, batteries not used, heat pump's size decreased via component integration. Also, different resources effectively hybridized photovoltaic panels innovative biomass heater increase share energy, enhance reliability, shave peak load. feasibility, suggested framework assessed from techno-economic standpoints for 100 residential apartments Stockholm, Sweden. Our results show 70.8 MWh electricity transferred local grid, remaining 111.5 used supply building's needs power electrically-driven components. The meets more than 65% space heating demand, mainly at low solar high illustrating value integration strategies reduce system's dependability on grid. further reveal most purchases during cloudy days nights repaid through sale excess production warmer hours, with bidirectional connection monthly less 140 $/MWh years. can be held due exclusion minimizing pump size. proposed has emission index 11.9 kgCO2/MWh carbon dioxide emissions by 70 TCO2/year compared Swedish mix.
Язык: Английский
Процитировано
18International Journal of Energy Research, Год журнала: 2024, Номер 2024, С. 1 - 22
Опубликована: Фев. 20, 2024
This research presents an optimal energy management system (EMS) for a lithium-ion battery-supercapacitor hybrid storage used to power electric vehicle. The systems are connected in parallel the DC bus by bidirectional DC-DC converters and feed synchronous reluctance motor through inverter. proposed strategy is built on idea take full benefits of two combined methods: bald eagle search algorithm fractional order integral sliding mode control. To evaluate effectiveness suggested strategy, urban dynamometer driving schedule (UDDS) cycle considered. obtained results compared classical control-based terms voltage ripples, overshoots, battery final state charge. ultimate approve ability enhance quality consumption at same time. Comprehensive processor-in-the-loop (PIL) cosimulations were conducted vehicle using C2000 launchxl-f28379d digital signal processing (DSP) board assess practicability EMS.
Язык: Английский
Процитировано
9Energy, Год журнала: 2024, Номер 306, С. 132412 - 132412
Опубликована: Июль 14, 2024
Язык: Английский
Процитировано
9Energy, Год журнала: 2024, Номер 294, С. 130815 - 130815
Опубликована: Фев. 29, 2024
Язык: Английский
Процитировано
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