Energy Data Management in an Eco Learning Factory with Traditional SME Characteristics

Heiko Thimm ()
Additional contact information
Heiko Thimm: Pforzheim University

A chapter in From Science to Society, 2018, pp 95-105 from Springer

Abstract: Abstract An Eco Learning Factory is currently being established at an academic institution with the goal to investigate energy management approaches for SME production companies. The article describes a novel conceptual data model and energy data management approaches that are being developed for this factory. The implementation of these approaches is based on the use of an extensible commercial Enterprise Resource Planning (ERP) system and a novel easy to deploy sensor-based energy measurement solution that enables energy consumption measurements for machines without integrated energy meters.

Keywords: Energy data management; Energy Management System; Enterprise Resource Planning; Data modelling (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-65687-8_9

Ordering information: This item can be ordered from
http://www.springer.com/9783319656878

DOI: 10.1007/978-3-319-65687-8_9

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().