Optimizing combined cooling and power systems in refrigerated trucks: a deep deterministic policy gradient approach

The CO2-based combined cooling and power (CCP) system is regarded as a highly promising alternative for waste heat recovery in refrigerated trucks, owing to its environmental advantages and multienergy output. The CCP system implemented in refrigerated trucks is more intricate than conventional wast...

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Detalles Bibliográficos

Principais autores:	Jintao He, Lingfeng Shi, Yonghao Zhang, Meiyan Zhang, Yu Yao, Hailang Sang, Hua Tian, Gequn Shu
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2025-09-01
Series:	Energy and AI
Assuntos:	Waste heat recovery Deep reinforcement learning Cogeneration system Road condition evaluation
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2666546825001041
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