OPTIMIZED DESIGN AND NODE CARBON INTENSITY ANALYSIS OF SOLAR-AIR SOURCE HEAT PUMP HEATING SYSTEM FOR UNIVERSITY CAMPUSES UNDER DUAL CARBON GOALS

Luo Xi; Wang Yupan; Zhang Yuanqing

doi:10.19912/j.0254-0096.tynxb.2024-1137

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (11) : 451-460. DOI: 10.19912/j.0254-0096.tynxb.2024-1137

OPTIMIZED DESIGN AND NODE CARBON INTENSITY ANALYSIS OF SOLAR-AIR SOURCE HEAT PUMP HEATING SYSTEM FOR UNIVERSITY CAMPUSES UNDER DUAL CARBON GOALS

Luo Xi^1,2, Wang Yupan¹, Zhang Yuanqing¹

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Abstract

This study takes the solar-air source heat pump heating system as an example. Based on the joint optimization of system capacity configuration and operation strategy, we propose an exergy-carbon flow node carbon potential calculation method that considers energy quality differences. This method is applied to the solar-air source heat pump heating system at a university campus in Xi'an. The results showed that in terms of natural conditions, solar irradiance is not significantly correlated with nodal carbon intensity, but there is a significant negative correlation between outdoor temperature and nodal carbon intensity. In terms of system performance, there is a significant negative correlation between the solar collector efficiency, the performance of the air source heat pump, and node carbon intensity. Compared to the conventional node carbon potential calculation method that does not consider exergy, the exergy-carbon flow node carbon potential calculation method yields higher results. The difference between the two methods increases as the heat load decreases. In the supply network, from 01:00 to 08:00, the difference between the two node carbon intensity calculation methods is small, stabilizing around 2%. However, from 09:00 to 13:00, the difference significantly increases, reaching up to 13%. From 14:00 to 24:00, there is no significant difference between the results of the two methods. In the return network, the difference between the two node carbon intensity calculation methods is particularly pronounced during both the 01：00 to 08:00 and 09:00 to 13:00 periods, exceeding 10%. From 14：00 to 24:00, there is no significant difference between the results of the two methods.

Key words

university campus / heating systems / joint optimization / carbon emission flow / solar energy / energy quality difference

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Luo Xi, Wang Yupan, Zhang Yuanqing. OPTIMIZED DESIGN AND NODE CARBON INTENSITY ANALYSIS OF SOLAR-AIR SOURCE HEAT PUMP HEATING SYSTEM FOR UNIVERSITY CAMPUSES UNDER DUAL CARBON GOALS[J]. Acta Energiae Solaris Sinica. 2025, 46(11): 451-460 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1137

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