An Orchestration Process of Analytic Services in Holistic Energy Management Systems

Energy Management System (EMS) is a concept that is an essential part of modern manufacturing enterprises. The goal of EMS is to offer the surrounding systems with decision-support and control tools based on analytic operations that allow the optimization of the energy usage. This thesis presents an orchestration process of analytic services that enables the effective management of analytic operations within EMS. The current transition from Internet of People towards Internet of Things is expected to significantly increase the amount of available energy-related information. This will increase the level of complexity of the required analytic tools. In order to manage the increasing complexity the Service-Oriented Architecture (SOA) is utilized in the orchestration process, allowing the flexible organization and rapid deployment of new analytic functionality. The thesis work is divided into two parts. The literature review part studies the current state of research in EMS and the related analytics. Weight is also put on studying of the research attempting to acquire holistic EMS solutions. Holistic EMS targets to manage the energy consumption of the whole system in a way that considers the specific requirements of each subsystem. In the implementation part a variety of Internet-based technologies are applied to provide an implementation of the orchestration process of analytic services. An Enterprise Service Bus is used as a platform for the implementation, supporting the integration of systems. The implementation is used to demonstrate the capabilities offered by the orchestration of analytic services. The results of this thesis indicate that the service-based approach increases the manageability of the analytic operations in EMS. The solution allows the rapid development of new analytic processes from location-independent analytic services. The research leading to these results was partially funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 600058