| Straw energy is important to control smog and develop renewable energy.Hebei Province is rich in straw resources,and mastering the energy demand and distribution of straw resources is the premise of making use of straw resources.In this paper,a field survey was conducted in Hebei Province,combined with statistical data,the features of family energy use and straw resource distribution were obtained,and a model was established by using multiple regression method to evaluate the resource suitability of various straw energy using technologies in different regions.Based on the analysis of related concepts,a regional suitability evaluation model of straw energy using was proposed,which included two sub-models of rural family energy use and regional straw resources.The information collection method based on field investigation was established,and the data processing method was selected.On-the-spot investigation took520 families from 35 natural villages as samples,covering 11 cities in Hebei Province.The results of reliability and validity test show that the data meet the statistical requirements.Based on the features of energy consumption reflected by the survey data,the energy consumption indexes for heating and cooking of rural families in various places are calculated,and the notable elements are screened out.Then,the sub-model of energy demand of rural families in Hebei Province is established,and the zoning of energy demand in Hebei Province is obtained by combining the statistical data.The main findings include: the energy consumption index of heating and cooking in rural areas is higher than that of local towns;Per capita income,family population,local temperature,urbanization rate and GDP are the notable influencing factors.The demand for rural heating energy presents the law of "low in the south and high in the north",and the temperature is the leading factor.The areas with high demand for cooking energy are in the northeast of the province,while the areas with low demand for cooking energy are in the central and southern parts,and the family population is the leading factor.Based on the features of straw resources reflected by the survey data,the indexes of straw resources in various places were calculated,and the notable elements were screened out.Then,the regional energy using quantum model of straw was established,and the energy using zoning of straw was obtained by combining the statistical data.The main findings include: the indexes of straw resources and energy availability calculated by investigation data are lower than those calculated by yearbook data;Local temperature,sunshine hours,fertilizer consumption and cultivated land area are notable influencing factors of straw energy using in Hebei Province.The amount of straw that can be used as energy varies greatly among different places in Hebei Province,among which Shijiazhuang and Hengshui have the largest amount,while Zhangjiakou and Chengde have the smallest amount.Integrating the above sub-models,the regional suitability evaluation model of straw energy using was obtained.This model was used to evaluate the resource suitability of various straw energy using technologies in Hebei Province,and then put forward the suggestions of straw energy using.The main findings include: central Hengshui and central Xingtai have the highest suitability,which is suitable for the development of straw solidification household combustion and dry distillation gasification;Eastern Shijiazhuang and northern Hengshui have higher suitability,which is suitable for developing the mode of straw solidification and household combustion,and straw carbonization and gasification can also be considered;Eastern Baoding and central Shijiazhuang are common suitable for developing straw solidification and household combustion.;Central Tangshan and southern Qinhuangdao have lower suitability,so it can be considered to develop the mode of straw curing household combustion;The suitability of northern Zhangjiakou and northern Chengde is very low,and it is not suitable for straw energy using technology at present. |