| Coupling regulation of multi\|parameters on heat recovery from greenhouse waste composting |
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| DOI：10.7606/j.issn.1000-7601.2023.01.25 |
| Key Words: biomass heat generation aerobic composting multifactor coupling integrated composting heat generation model greenhouse |
| Author Name | Affiliation | | LI Chenhao | College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100， China | | HU Yixin | College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100， China | | WANG Hao | College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100， China | | XIAO Jinxin | College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100， China | | SONG Lei | College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100， China | | MIAO Lili | College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100， China | | LI Jianming | College of Horticulture, Northwest A&F University, Yangling, Shaanxi 712100， China |
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| Abstract: |
| Maximizing the use of renewable energy and reducing regulation costs are the basis for efficient greenhouse heating from biomass composting and the core of sustainable development of greenhouse production. In this study, wheat straw was used as raw material and cow dung as auxiliary material, and initial material bulk density (BD), carbon nitrogen ratio (C/N) and moisture content (MC) were taken as research factors. The response surface methodology was employed to examine the advantages of interaction among factors. The composting evaluation targets were the heat rate, heat production rate, heat energy conversion rate and total organic carbon degradation rate. Based on the TOPSIS method, a comprehensive evaluation system was established. The entropy weight method was used to reasonably determine the weight of each index, and the response model of biomass composting heat generation under multi\|factor coupling was constructed, and the comprehensive effect of carbon, nitrogen and water multi\|factor coupling on biomass fermentation heat brewing was analyzed. The results showed that when other factors were at the intermediate level, the comprehensive score showed a nearly linear relationship with the increase of C/N, and convex quadratic curve relationships with the increase of BD and MC. BD, MC and C/N synergistically affected the comprehensive composting process. When BD, C/N and MC are 0.05~0.07 g·cm-3, 38.30~38.40, 52.94%~59.83%, respectively, the comprehensive evaluation value had an optimal interval. The optimal scheme of the obtained compositing factors was applied in winter, the nighttime temperature increased by 0.94~1.50℃ in the large\|span asymmetric plastic greenhouse in Yan’an area. |
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