In this paper, we discussed the utilization potential of Sorghum-Sudan grass hybrid as a bio-energy resource, including the growth speed, biomass, adapt- ability, resistance, photosynthesis, and calorific value. The S...In this paper, we discussed the utilization potential of Sorghum-Sudan grass hybrid as a bio-energy resource, including the growth speed, biomass, adapt- ability, resistance, photosynthesis, and calorific value. The Sorghum-Sudan grass hy- brid grew rapidly, and it had abundant biomass resources, strong adaptability and strong resistance （leanness-resistance, salt-tolerance, alkali-tolerance, etc）. Moreover, the planting of Sorghum-Sudan grass hybrid did not occupy the farmland. It had high photosynthetic efficiency and high calorific value. Its composition also met the requirements by raw material of bio-energy resources. In addition, the economic benefits of Sorghum-Sudan grass hybrid as a bio-energy resource were analyzed, and the existing problems and countermeasures in the development of Sorghum-Su- dan grass hybrid as a bio-energy resource were discussed.展开更多
The aim of this paper is the analysis of methodology for selecting the best model for forecasting of fuelwood demand in Greece for the years 2020, 2025 and 2030 with a final objective the decision-making in the sector...The aim of this paper is the analysis of methodology for selecting the best model for forecasting of fuelwood demand in Greece for the years 2020, 2025 and 2030 with a final objective the decision-making in the sector of forest bioenergy. A complete time series of historical data exists that concerns： （a） the consumption of fuelwood and （b） the six most important from the independent variables that could influence the consumption of fuelwood, whose data cover the time period 1989-2010. The evaluation and choice of the best model was realized with the help of the following six statistical criteria： （a） the size of standard error of theoretical values of dependant variable, S. E.; （b） the value of adjusted R square （R2）; （c） the non-existence of autocorrelation among the residuals （ei） through the criterion Durbin-Watson; （d） the statistical significance of models coefficients through t criterion; （e） the statistical significance of models through F criterion and （f） the non-existence of multicolinearity through the values of Variance Inflation Factor.展开更多
基金Supported by Experiment Teaching Research Project of Qujing Normal University in 2012-2013Qujing Normal University Youth Program(2010QN001)Scientific Research Foundation of Yunnan Provincial Department of Education(2011C017)~~
文摘In this paper, we discussed the utilization potential of Sorghum-Sudan grass hybrid as a bio-energy resource, including the growth speed, biomass, adapt- ability, resistance, photosynthesis, and calorific value. The Sorghum-Sudan grass hy- brid grew rapidly, and it had abundant biomass resources, strong adaptability and strong resistance （leanness-resistance, salt-tolerance, alkali-tolerance, etc）. Moreover, the planting of Sorghum-Sudan grass hybrid did not occupy the farmland. It had high photosynthetic efficiency and high calorific value. Its composition also met the requirements by raw material of bio-energy resources. In addition, the economic benefits of Sorghum-Sudan grass hybrid as a bio-energy resource were analyzed, and the existing problems and countermeasures in the development of Sorghum-Su- dan grass hybrid as a bio-energy resource were discussed.
文摘The aim of this paper is the analysis of methodology for selecting the best model for forecasting of fuelwood demand in Greece for the years 2020, 2025 and 2030 with a final objective the decision-making in the sector of forest bioenergy. A complete time series of historical data exists that concerns： （a） the consumption of fuelwood and （b） the six most important from the independent variables that could influence the consumption of fuelwood, whose data cover the time period 1989-2010. The evaluation and choice of the best model was realized with the help of the following six statistical criteria： （a） the size of standard error of theoretical values of dependant variable, S. E.; （b） the value of adjusted R square （R2）; （c） the non-existence of autocorrelation among the residuals （ei） through the criterion Durbin-Watson; （d） the statistical significance of models coefficients through t criterion; （e） the statistical significance of models through F criterion and （f） the non-existence of multicolinearity through the values of Variance Inflation Factor.
