Semantic Meta Model for the Description of Resource and Energy Data in the Energy Data Management Cycle

Abstract

Energy efficiency is a critical competitive factor. Transparency of energy consumption is the key for increasing efficiency of production. For this purpose, existing energy data management systems collect data such as power, gas or water consumption on field level, save them in databases, and aggregate them in reports. However, the identification of saving potentials and the definition of efficiency measures is carried out by energy experts and thus is dependent on a person’s knowledge. The documentation of knowledge about saving potentials and measures does not take place and relations among data and knowledge of various domains are not captured. In this paper, we provide an approach that allows the holistic capture and description of data and knowledge relations. Through the use of an ontology-based meta model, consumption data can be augmented with information about time and place of capture, data type, intended purpose and permissions, as well as interfaces to other systems and relations to knowledge elements. The semantic model is to capture relevant requirements of all information demanders within the energy data management cycle. Therefore, the model is capable of detecting efficiency deficits and retrieving relevant energy efficiency measures within a knowledge base. Thus, energy consumption data can be efficiently used and knowledge about efficiency can be sustainably preserved.

Transparent Acquisition and Processing of Energy Data in the Field of Industrial Production - Requirements and Applications

“…The concept bases on both the life cycle of the manufacturing plant and the product, as well as the data management cycle. Requirements, such as the one-to-one allocation of characteristic energy consumption curves and production processes or the unambiguity of energy measurement data are determined [4]. Necessary interfaces to systems such as the Manufacturing Execution System (MES) or the Enterprise Resource Planning system (ERP) as well as all sources and demanders of knowledge that are involved in the energy management process are taken into account.…”

“…Fig. 2: Data representation tasks of the energy data management cycle [4] Transparent energy data management requires functionalities of energy data acquisition. This includes both manual and automated data collection and the connection to the data infrastructure at the plant.…”

Towards a Software System Providing Knowledge about Energy and Resource Efficiency Potentials within the Product and Process Development of Electric Drives

“…In addition, some industry-independent approaches for software systems, which are to be a guide for energy and resource optimization measures, exist. Examples include theoretical considerations for the ontology-based description of energy data [24,25] as well as the application-oriented development of web-based knowledge management platforms [26,27]. Due to their generic character, however, industry-specific saving potentials are hardly used.…”