基于工业分析的生物质低位热值和理论空气量快速预测  

Rapid Prediction of Biomass Low Calorific Value and Theoretical Air Volume based on Proximate Analysis

作　　者：王晓东 朱雁军 刘长瑞 吕海洋 胡笑颖[2] 董长青[2] WANG Xiao-dong;ZHU Yan-jun;LIU Chang-rui;无(l.National Energy Biological Power Generation Group Co.Ltd.;National Engineering Laboratory for Biomass Power Generation Equipment,North China Electric Power University)

机构地区：[1]国能生物发电集团有限公司,北京100052 [2]华北电力大学生物质发电成套设备国家工程实验室

出　　处：《电站系统工程》2021年第4期54-56,共3页Power System Engineering

基　　金：国家电网有限公司科技项目(52789918000D);国家自然科学基金项目(51776070)资助。

摘　　要：生物质是一种可储存的可再生能源,生物质的热利用是当前生物质利用的主要途径。对100余组生物质样本进行了组成相关性分析、热值和理论空气量测试,重点分析了生物质热值、理论空气量与工业分析之间的相关性,获得了较精确的生物质热值、理论空气量与工业分析之间的定量表达式,为生物质热值的快速预测提供了参考。Biomass is a kind of renewable energy, the thermal conversion of biomass is one of the most popular utilization ways. More than 100 biomass samples were collected and the relationship between the proximate analysis and the low calorific value and theoretical air volume were studied. Based on the proximate analysis, the regression equation about the low calorific value and theoretical air volume were gotten with higher accuracy compared with other equations. It can be used by the industry for biomass heating value prediction with fast speed.

关 键 词：生物质 热值 工业分析 理论空气量 

分 类 号：TK16[动力工程及工程热物理—热能工程]