Artificial intelligence enabled energy-efficient heating, ventilation and air conditioning system: Design, analysis and necessary hardware upgrades

Applied Thermal Engineering, Journal Year: 2023, Volume and Issue: 235, P. 121253 - 121253

Published: Aug. 5, 2023

Literature search across different databases showed that the application of artificial intelligence (AI) in heating, ventilation and air conditioning (HVAC) equipment has been extensively studied. On commercial front, Internet suggested numerous AI-equipped HVAC products have launched. These apply AI very ways, their energy-saving effects are also different. Such divergence uncertain may hinder application. To overcome this difference accelerate development applications, present study proposed a double diamond preferred reporting items for systematic reviews meta-analysis (PRISMA) method—an analysis method combined literature review with design thinking. Through process divergence-convergence-re-divergence, described how to functions energy-efficient systems, taking into account more than 1,700 research papers it had reviewed. However, there was limitation on part re-divergence. Because vast majority only published results successful no cases failed applications were available review, making impossible re-think profoundly. Instead, collected raw data from 88 used these analyze effectiveness ineffectiveness depth. It concluded must be accompanied by necessary hardware improvements achieve effective energy savings. AI-enabled chillers, air-handing units, heating conditioners, as well corresponding upgrades, discussed.

Language: Английский

---

Optimal design, operational controls, and data-driven machine learning in sustainable borehole heat exchanger coupled heat pumps: Key implementation challenges and advancement opportunities

Energy Sustainable Development/Energy for sustainable development, Journal Year: 2023, Volume and Issue: 74, P. 231 - 257

Published: April 20, 2023

Language: Английский

---

Energy-saving control method for NH3-CO2 cascade refrigeration system by directly regulating slide valve position in twin-screw compressor

Applied Thermal Engineering, Journal Year: 2023, Volume and Issue: 239, P. 122116 - 122116

Published: Nov. 28, 2023

Language: Английский

---

Long-term power forecasting of photovoltaic plants using artificial neural networks

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 2855 - 2864

Published: Sept. 4, 2024

Language: Английский

---

Heat pump digital twin: An accurate neural network model for heat pump behaviour prediction

Applied Energy, Journal Year: 2024, Volume and Issue: 378, P. 124816 - 124816

Published: Nov. 6, 2024

Language: Английский

---

Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives

Energies, Journal Year: 2023, Volume and Issue: 16(8), P. 3441 - 3441

Published: April 14, 2023

In recent years, artificial intelligence has become increasingly popular and is more often used by scientists entrepreneurs. The rapid development of electronics computer science conducive to developing this field science. Man needs intelligent machines create discover new relationships in the world, so AI beginning reach various areas science, such as medicine, economics, management, power industry. Artificial one most exciting directions which absorbs a considerable amount human enthusiasm latest achievements technology. This article was dedicated practical use neural networks. discusses networks years 1940–2022, presenting important publications from these discussing intelligence. One chapters focuses on energy processes systems. also possible for future

Language: Английский

---

Development of a method for predicting the transient behavior of an absorption chiller using artificial intelligence methods

Applied Thermal Engineering, Journal Year: 2023, Volume and Issue: 231, P. 120978 - 120978

Published: June 16, 2023

Language: Английский

---

Effective image processing-based technique for frost detection and quantification in domestic refrigerators

International Journal of Refrigeration, Journal Year: 2024, Volume and Issue: 160, P. 217 - 228

Published: Jan. 26, 2024

Language: Английский

---

Optimization-oriented online modeling for generators of absorption heat pump systems

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 244, P. 122660 - 122660

Published: Feb. 9, 2024

Language: Английский

---

Comparison of Artificial Intelligence and Machine Learning Methods Used in Electric Power System Operation

Energies, Journal Year: 2024, Volume and Issue: 17(11), P. 2790 - 2790

Published: June 6, 2024

The methods of artificial intelligence (AI) have been used in the planning and operation electric power systems for more than 40 years. In recent years, due to development microprocessor data storage technologies, effectiveness this use has greatly increased. This paper provides a systematic overview application AI, including machine learning (ML) system. potential areas are divided into four blocks classification matrix clustering AI tasks. Furthermore, acquisition setting parameters ML algorithms presented discussed way, considering supervised unsupervised methods. Based on this, three complex examples, being wind generation forecasting, smart grid security assessment (using two methods), automatic system fault detection detail. A summary outlook conclude paper.

Language: Английский

---