The Research On Application Of EVM To The Hydropower Automation Projects In NARI

Since 1980s,Automation has been applied to the hydropower projects in China.After 30 years’ development,it has formed a large scale.At present,the construction of hydropower stations and reservoir projects almost have been completed and nearly reach a saturation condition in China.Due to the aging of automation equipment and system,the hydropower automation projects have stepped into a new stage of renovation and reconstruction.Hydropower automation plays a crucial role in improving the operation efficiency and reducing the labor cost,but the funds and time which are available for its renovation and reconstruction process are quite limited.Thus,how to maximumly reduce the cost and increase the rate in the work progress has become the key factor for the success of renovation and reconstruction.Analyzing from two perspectives,including cost control and progress control,this thesis aims to find a best solution for these problems related to cost control and progress control in hydropower projects.Because of the small scale of the project and shortage of resources,project managers usually use their own experience,or traditional methods to control the cost and progress of the project.However,these traditional methods as well as experience method usually use single control mode,and they may lead to subjective and random results,which is not good for the company to control the whole project from the overall picture.This thesis takes the construction project of reservoir information-based system in Chaishitan Reservoir,Yiliang,Yunan province as an example,combining the author’s rich experience in cost control and progress control,to study the application of EVM(Earned Value Method),especially Second-Level Earned Value Method and Critical Path Earned Value Method,to cost control and progress control in hydropower automation projects.This thesis analyzes the actual construction situation and statistics in the whole project,calculate the variance and explore the reasons.Moreover,it puts forward some measures to modulate the variance,thus to efficiently control the cost and progress of the project.It finally proves that EVM is indeed effective when being applied to Chaishitan Reservoir project,and after using it,the project is completed ahead of schedule at a lower cost,which has been highly praised by the employer as well as the company.This thesis concludes the key points and application processes of cost control and progress control which should be paid attention to in small-and-medium-size hydropower automation projects.The author finds out that EVM is not only helpful for the project managers to learn resource consumption and progress condition about the whole project,but also useful for them to know the exact executive condition of each subproject,even every step.Thus,EVM can be further used in other hydropower projects.