Research on operation performance of multi-heat source complementary system of combined drying based on TRNSYS

Yuan, Yuejin; Ma, Kaikun; Xu, Yingying; Yang, Lijia; Li, Yan; Lin, Xiao; Yuan, Yueding

doi:10.1016/j.renene.2022.05.001

Cited by 19 publications

(1 citation statement)

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“…Additionally, Yuan et al investigated the performance of a complementary heating system of combined drying based on transient simulation, and their results show that the annual cost of the system reduces by 42.6% compared with other heating modes. Although this work is conducted based on transient simulation, it focuses on a specific system and does not consider other possible configurations of the complementary heating system [63].…”

Section: Introductionmentioning

confidence: 99%

A Unified Design Method for Multi-Source Complementary Heating Systems Based on a Transient Simulation

Zhang,

Guo,

et al. 2024

Electronics

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Combining various sources to create a complementary system plays a key role in utilizing clean energy sources economically and mitigating air pollution during the heating season in Northern China. However, there is a lack of unified and reasonable design methods for such systems, resulting in the excessive capacity of equipment and the waste of energy. In this work, a unified design method is proposed to solve this problem. A generalized structure and its mathematical model are firstly established, enabling transient simulations on the TRNSYS platform. Then, a preliminary screening criterion for the system composition a general operation strategy is proposed. Finally, the system configuration is optimized by using the genetic algorithm. The method is successfully applied in a demonstration project in China. The results show that the coupling system consisting of a biomass boiler (384 kW), an air-source heat pump (430 kW) and a ground-source heat pump (369 kW) is the most economical, and the annual cost is 26.7% lower than that of a single-equipment system. Additionally, the sensitive factors that strongly affect the optimization results are explored. The establishment of the generalized structure and its mathematical model enables the quick calculation and convenient comparison of various schemes, and simplifies the complicated optimization problem of the capacity optimization of each piece of equipment. The proposed design method can reduce the annual cost to a minimum value, and thus it provides a theoretical basis for the large-scale application of clean energy sources for heating.

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Section: Introductionmentioning

confidence: 99%