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Economy-energy-environment optimization of biomass gasification CCHP system integrated with ground source heat pump

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  • Jie, Pengfei
  • Li, Zhe
  • Ren, Yanli
  • Wei, Fengjun

Abstract

Economy-energy-environment optimization of biomass gasification combined cooling, heating and power (BGCCHP) system integrated with ground source heat pump (GSHP) is performed. Four types of biomass materials, including corn straw (CS), wheat straw (WS), wood pellet (WP) and rice straw (RS), two operating strategies, i.e., following electric load (FEL) and following thermal load (FTL), and feed-in tariff policy were investigated in the case study based on a hotel building in Beijing, China. Results show that BGCCHP-GSHP system for all biomass materials and operating strategies outperforms separated generation system with average ACSR (annual cost saving ratio), PESR (primary energy saving ratio), CDRR (CO2 reduction ratio) and OSR (overall saving ratio) of 40.63%, 96.79%, 99.94% and 79.12%, respectively. The descending order of the comprehensive performance is CS, WS, WP and RS. FTL yields better performance in comparison with FEL. Furthermore, the integration of GSHP under FEL is feasible whereas it is not beneficial to integrate GSHP under FTL. Under FEL, the integration priority of GSHP is WP, RS, WS and CS. Sensitivity analysis shows that biomass price and electricity price influence the optimal configuration and performance under FEL whereas the GSHP capacity still remains zero with the variation of such parameters under FTL.

Suggested Citation

  • Jie, Pengfei & Li, Zhe & Ren, Yanli & Wei, Fengjun, 2023. "Economy-energy-environment optimization of biomass gasification CCHP system integrated with ground source heat pump," Energy, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:energy:v:277:y:2023:i:c:s0360544223009489
    DOI: 10.1016/j.energy.2023.127554
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    Cited by:

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    2. Ren, Xin-Yu & Li, Ling-Ling & Ji, Bing-Xiang & Liu, Jia-Qi, 2024. "Design and analysis of solar hybrid combined cooling, heating and power system: A bi-level optimization model," Energy, Elsevier, vol. 292(C).

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