GHG Mitigation Based Straw Power Plant Planning Optimisation In Jiangsu Province

In recent years,as China’s energy security situation is more serious and the demand for greenhouse gas emissions is more urgent,bioenergy become the hot topic in the resource management and utilization areas.According to the<long-term renewable energy plan(2007)>,<"Twelfth Five-Year"plan of renewable energy>,the development of bioenergy has become an important supporting aspect of the strategy of energy sustainable management.Appropriate regional planning under local conditions is the key of achieving the sustainability of bioenergy.Firstly,the bioenergy location largely determines the supply feasibility and cost of raw material,and" the basic condition for bioenergy industrialization is to meet the needs of energy production with lower supply cost of raw materials".Secondly,the bioenergy location could affect the regional energy conversion efficiency and greenhouse gas emission levels et al.Therefore,based on the spatial distribution of bioenergy resources,typical feedstock logistic model,the proposed study is to estimate the volumes and spatial distribution of bioenergy potential,delivery cost and lifecycle greenhouse gases emission.After identifying the regional characteristics which could influence the bioenergy planning and distribution,a metaheuristic algorithm planning method is developed on the GIS platform to construct an optimization model to determine the scale and distribution of the bioenergy system,considering regional characteristics,greenhouse gases emission.This study take Jiangsu Province as the research area.According to the result,the amount of annual crop residues available in Jiangsu Province is about 17,431,000 tons.The spatial distribution of annual straw available in Jiangsu shows that the number of straw available in western inland is greater than the eastern coast,and the distribution is more concentrated;there is no significant difference in the amount of straw available between the north and south of Jiangsu province.This study conducts a comparative analysis of the delivery cost and GHG emission results of candidate locations between different greenhouse gas emission reductions goals of 92%and91%.When emission reduction targets are the same,the amount of straw materials can be collected differs a lot among different candidate locations.Under 91%and 92%reduction goals,the largest collection of straw material amount can both reach nearly 10 times that many in the minimum candidate;in a same candidate,the higher emission reduction targets,collecting distance and the amount of straw collected is less,which results lower delivery costs.According to the optimisation algorithm,we have the straw power plants distribution under the goals of 92%and 91%repectively.Under 91%and 92%reduction goals,straw power generation life cyclegreenhouse gas emissions both mainly come from(more than 50%)the part of crush and drying pretreatment before combustion,but the part of transportion changes a lot between 91%and 92%reductions goals,accounting for 27%and 17%,respectively;the distance dependent cost accounted for 73%and 61%of total delivery costs under 91%and 92%reduction goals.We also calculates the delivery cost and GHG emission with the different logistic model of the straw power plant distribution result.With the straw compression mode,the total cost of delivery can be reduced by 30%-40%compared to the base senario(packing mode).The greenhouse gas emissions can also be slightly reduced,about 3%-9%.Therefore the straw compression mode are more advantageous not only in delivery cost but also in and straw power generation life cycle greenhouse gas emissions.