Abstract
The prototype of the EWED project at California State University, Sacramento has built a data integration system to collect the data related to power plants across the United States by using data services and interfaces provided by heterogeneous data sources. However, there are new and evolving requirements to be implemented, which are beyond what the previous prototype system has produced. In addition, the prototype system’s APIs have unsatisfactory performance that failed to serve multiple users concurrently. This project re-calculated the data based on new user requirements and added new filtering capabilities to view the data. The new filtering mechanism allows users to choose and filter the data by each model. In addition, this project implemented new sets of data from different projected models for the predications of power plant generation, emission, water consumption, and water withdrawal. Furthermore, this project improved the previous prototype system’s APIs and optimized system performance to effectively serve multiple users concurrently. This project completed the integration of all the datasets to present the complete information related to power plants and kept track of the natural resources used and pollution produced by power generation.