简介:In2010,over300billionyuan($47.31billion)areinvestedinrenewableenergysourcesinChina,outrankingeveryothercountry.Hence,Chinahasbecomeoneoftheworld’sbiggestinvestorsinrenewableenergysources.
简介:Theexistingbuildingenergy-savingrenovationprojectwithquasi-publicgoodsattributeshasinherentlydefinedthecharacteristicsofmarketexternalityandinformationasymmetry,leadingtotheexistingbuildingenergy-savingrenovationmarketfailure.Improvetheexistingbuildingenergy-savingmarketdevelopmentguaranteesystemisthefoundationofpromotingmarketcultivation,andhealthydevelopment,whichneedtoimprovethelegalsystem,richincentivepolicies,clearqualitystandardsandimplementenergyefficiencylabeling.
简介:
简介:Fourcategoriesofglobularproteins,includingall-α,all-β,α+β,andα/βtypes,aresimplifiedastheoff-latticeHNPmodelinvolvingthesecondary-structuralinformationofeachprotein.Thepropensityofthreetypesofresidues,i.e.,H,N,andPtoformasecondarystructureisinvestigatedbasedon146proteinsamples.WefindthatPresiduesareeasytoformα-helices,whereasHresidueshaveahighertendencytoconstructβ-sheets.ThestatisticalanalysisalsoindicatesthattheoccurrenceofPresiduesisinvariablyhigherthanthatofHresidues,whichisindependentofproteincategory.Changesinbond-andnon-bondedpotentialenergiesofallproteinsamplesunderawidetemperaturerangearepresentedbycoarse-grainedmoleculardynamics(MD)simulation.Thesimulationresultsclearlyshowalinearrelationshipbetweenthebond-stretching/bendingpotentialenergyandthereducedtemperature.Thebond-torsionalandnon-bondedpotentialenergiesshowdistincttransitionswithtemperature.Thebond-torsionalenergyincreasestothemaximumandthendecreaseswiththeincreaseoftemperature,whichisoppositetothechangeinnon-bondedpotentialenergy.Thetransitiontemperatureofnon-bondedpotentialenergyisindependentoftheproteincategory,whilethatofbond-torsionalenergyiscloselyrelatedtotheproteinsecondarystructure,i.e.,α-helixorβ-sheet.Thequantitativelybonded-andsemiquantitativelynon-bondedpotentialenergyof24α+βand23α/βproteinsamplesaresuccessfullypredictedaccordingtothestatisticalresultsobtainedfromMDsimulations.
简介:ThisarticleexplorestheeffectsofinvestmentuponenergyintensitybyapplyingauniquepaneldataofChina’s27provincesbetween2004and2013.Inaddition,italsoparticularlystuthesotherfactors,suchasenergyprice,economicstructure,andurbanization.Theresults,basedonfoureconometricregressionmodelresults,suggestthatingeneral,theindigenousinvestmentonresearchanddevelopmentisamorepowerfultooltodecreaseChina’senergyintensityregardlessofregiondisparity.Theforeigndirectinvestment(FDI)hasaprominentbutnotpersistenteffectonenergyintensity.However,theoutwarddirectinvestmenthasnotshownitssignificantimpactonenergyintensity.AtthelevelofanaggregateeconomyandChina’seasternregion,theresultsdemonstratethatFDIimprovesenergyefficiencysignificantly.Forthecentralandwesternprovinces,FDIdoesnotsupportthesimilarconclusion.Basedontheseanalyses,wepresentthecorrespondingregionalpoliciesforpolicymakers.
简介:精力最小化广泛地被使用了在象电脑辅助的几何设计那样的地里构造曲线和表面,计算机图形。然而,我们的严峻的例子证明精力最小化不有时优化曲线的形状。这份报纸学习在最小化紧张精力和曲线形状之间的关系,学习被与令人满意的形状构造一条立方的Hermite曲线执行。立方的Hermite曲线插入内推二个给定的端点的位置和正切向量。计算机模拟技术成为了科学发现的方法之一,学习进程被数字计算和计算机模拟技术执行。我们的结果显示出那:(1)立方的Hermite曲线不能被完全最小化紧张精力构造;(2)紧张精力由本地最小的采纳珍视,立方的Hermite曲线的形状能为大约60%所有情况被决定,其中一些然而有不能令人满意的形状。基于种类精力模型和分析,一个新模型为与令人满意的形状构造立方的Hermite曲线被介绍,它是种类精力的修正模型。新模型使用一个明确的公式计算二正切向量的大小,并且有性质:(1)计算是容易的;(2)它让立方的Hermite曲线当保持在曲线建设为一些盒子最小化种类精力的好性质时,有令人满意的形状。与最小的种类精力模型一起的新模型的比较被包括。
简介:Thisarticledevelopedadecompositionmodelofenergyproductivityonthebasisoftheeconomicgrowthmodel.FourfactorswereconsideredwhichmayinfluenceChina’senergyproductivityaccordingtothismodel:technologyimprovement,resourceallocationstructure,industrialstructureandinstitutearrangement.Then,aneconometricmodelwasemployedtotestthefourfactorsempiricallyonthebasisofChina’sstatisticaldatafrom1978to2004.Resultsindicatedthatcapitaldeepeningcon-tributesthemost(207%)toenergyefficiencyimprovement,andimpactfromlaborforces(13%)istheweakestoneinresourcefactor;industrialstructure(7%)andinstituteinnovation(9.5%)positivelyimprovetheenergyproductivity.
简介:Fast-growingeconomyimposinghigherrequirementforenergyindustryDuringthe"TenthFive-YearPlan"period,China'sGDPgrewatanaverageannualrateof9.5%,andcorrespondinglythetotalvolumeofenergyconsumptiongrewatanaverageannualrateof10.5%.
简介:ExtractedfromSecuritiesGuide1.Popularityofnewenergyvehicles—anirresistiblemarkettrend1.1ProgressofnewenergyvehiclesChinesePremierLiKeqiangsaidrecentlyonavisittoXi'anBYDAutosthatnewenergyvehicles,especiallynewenergybus,canlessenenvironmentandnoisepollution.Heencouragedtheuseofnew
简介:TheAtomicWeaponsEstablishment(AWE)istaskedwithsupportingContinuousAtSeaDeterrence(CASD)bycertifyingtheperformanceandsafetyofthenationaldeterrentintheComprehensiveTestBanTreaty(CTBT)era.Thismeansthatrecoursetofurtherundergroundtestingisnotpossible,andcertificationmustbeachievedbysupplementingthehistoricaldatawiththeuseofcomputercalculation.Inordertofacilitatethis,AWEoperatessomeofthelargestsupercomputersintheUK.Tovalidatethecomputercodes,andindeedthedesignerswhoareusingthem,itisnecessarytocarryoutfurtherexperimentsintherightregimes.Anexcellentwaytomeetmanyoftherequirementsformaterialpropertydataandtoprovideconfidenceinthevalidityofthealgorithmsisthroughexperimentscarriedoutonhighpowerlaserfacilities.
简介:在一个天线目标进入水以后,伴随的水泡引起的水里的声音的物理变化是相当复杂的。作为结果,传统的信号分析方法不能识别真实物理目标。鉴于这种状况,为分析一个天线目标鈥檚条目引起进水的声音的一个新奇方法被建议。这个方法由使用empitical模式分解分析水泡的震动的模式。试验性的结果证明这个方法罐头高效地移开噪音并且提取宽带脉搏信号和低频率的波动信号,生产入口时间和频率的精确分辨率。这显示出建议方法的改进表演。关键词实验模式分解-精力特征抽取-变动信号分析杨莉在1982出生了。她从设计大学的哈尔滨毕业了并且在2009收到了硕士学位。她现在是在设计大学的哈尔滨的在水下的声学的设计的一个博士候选人。她的主要兴趣集中于声学的信号处理并且在水下目标识别。李斯春在1963出生了。她是在设计大学的哈尔滨的一个教授。她在从在2008设计大学的哈尔滨的在水下的声学的设计收到了博士学位。她的当前的研究兴趣包括在水下声学的信号处理,信号察觉,被动目标特征抽取和目标识别。
简介:Inordertosearchforthemeasuretoincreasetheenergydissipationratioofsteppedspillways,somemaininfluencingfactorsfortheenergydissipationratioofsteppedspillways,suchasunitdischarge,damslope,heightofstepandsoon,werestudied.Theresultsshowthattheenergydissipationratiodecreaseswiththeincreaseintheunitdischargeandincreasesastheslopebecomesgentle.Theeffectsofstepheightontheenergydissipationratioarecloselyrelatedtounitdischarge.Iftheunitdischargeissmaller,thechangeofenergydissipationratiowithstepheightbecomesgreater.While,iftheunitdischargeisgreater,theinfluenceofstepheightonenergydissipationratioisverylittle.Accordingtothedistributionsoftheturbulencekineticenergyandturbulencedissipationrateobtainedbynumericalsimulation,thebasicreasonofthedecreaseofenergydissipationratiowiththeincreaseintheunitdischargewasdiscussedandsomespecificmeasurestoincreasetheenergydissipationratioweresuggested.