Acceso abierto

Research on Reinforcement Learning Based Regulation Scheme for Renewable Energy System in Green Buildings

Yin Li

Yin Li

Civil Engineering and Architecture Science and Education Center, Huanghe Science and Technology CollegeZhengzhou, China
Buscar este autor en
Sciendo|Google Scholar
Li, Yin
 y 
Ang Wang

Ang Wang

Civil Engineering and Architecture Science and Education Center, Huanghe Science and Technology CollegeZhengzhou, China
Buscar este autor en
Sciendo|Google Scholar
Wang, Ang
  
21 mar 2025
Research on Reinforcement Learning Based Regulation Scheme for Renewable Energy System in Green Buildings's Cover Image
Acerca de este artículo
Artículo anterior
Artículo siguiente
Cite
Descargar portada
Publicado en línea: 21 mar 2025
Recibido: 22 oct 2024
Aceptado: 02 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0607
Palabras clave
© 2025 Yin Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Photovoltaic power generation in winter
Photovoltaic power generation in winter

Figure 2.

The convergence process of DDPG algorithm
The convergence process of DDPG algorithm

Figure 3.

The operation effectiveness of each system control scheme
The operation effectiveness of each system control scheme

Figure 4.

Simulation results of system regulation
Simulation results of system regulation

Figure 5.

Heat supply and Thermal storage system energy storage level
Heat supply and Thermal storage system energy storage level

Related parameters

Window size/m2 Building heat capacity/(J·K-1) Thermal resistance between indoor and environment/(K·W–1) Ashp heating power/kW
10 7453000 5.28×10–3 2

Operation strategy of heat pump and energy storage

Operation strategy of heat pump
Room temperature Ttin\[T_{\text{t}}^{\text{in}}\]/°C Electrovalence pt(yuan(kW·h)-1)
pt≤0.35 0.35<pt≤0.65 pt>0.65
Low 1 1 0.75
Medium 0.75 0.75 0.5
High 0.25 0 0
Operation strategy of energy storage
Photovoltaic power generation Ttin\[T_{\text{t}}^{\text{in}}\]/kW Electrovalence pt(yuan(kW·h)-1)
pt≤0.35 0.35<pt≤0.65 pt>0.65
Low -1 -1 -1
Medium 1 0 1
High 1 0 1

Robustness of DDPG

Scheme Operating cost(RMB) ATV(°C)
0.9°F 1.8°F 2.4°F 0.9°F 1.8°F 2.4°F
Scheme 1 3023 3034 3029 0.182 0.186 0.235
Scheme 2 2392 2406 2407 0.182 0.186 0.235
Scheme 3 2204.34 2263.91 - 0 0 -
DDPG 2181.3 2284.4 2284 0.003 0.005 0.075
Idioma:
Inglés
Calendario de la edición:
1 veces al año
Temas de la revista:
Ciencias de la vida, Ciencias de la vida, otros, Matemáticas, Matemáticas aplicadas, Matemáticas generales, Física, Física, otros
RSS Feed de revista