A method for bottom-up energy end-use data collection – Results and experience
2014 (Engelska)Ingår i: Eceee Industrial Summer Study Proceedings, European Council for an Energy Efficient Economy , 2014, s. 435-439Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]
Improved industrial energy efficiency is one of the most important means of reducing the threat of increased global warming. However, one of the major challenges today related to improved energy efficiency in industry is the lack of well-structured bottom-up data for various sectors. The aim of this paper is to present a structured method on the collection of industrial bottom-up data, and unique results from a case study of the Swedish foundry industry, as well as other industries, where the method has been applied. Results show that the method is useful in receiving unique energy-end-use data for the industry, and shows that the energy end-use for similar companies in regard to different process-specific energy users can be very large. Results also show how different energy end-users can be categorized and thus benchmarked in a structured way. A part of this study was done within the Intelligent Energy Europe project Foundrybench, with the effort to develop a guideline on how an energy audit May be carried out in the foundry industry, and to develop industry-specific key performance indicators.
Ort, förlag, år, upplaga, sidor
European Council for an Energy Efficient Economy , 2014. s. 435-439
Nyckelord [en]
Energy audit, Energy saving methodology, Key performance indicators (KPI), Process
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:ri:diva-45500Scopus ID: 2-s2.0-85045444596ISBN: 9789198048247 (tryckt)OAI: oai:DiVA.org:ri-45500DiVA, id: diva2:1457261
Konferens
2014 ECEEE Industrial Summer Study on Energy Efficiency: Retool for a Competitive and Sustainable Industry, 2 June 2014 through 5 June 2014
Anmärkning
Conference code: 135205; Funding details: Energimyndigheten; Funding details: European Commission, EC; Funding text 1: We kindly thank the European Commission for funding the Intelligent Energy Europe project Foundrybench in which a part of this study was conducted. Moreover, we kindly thank the Swedish Energy Agency for funding ENIG, in which a part of this project was also funded.
2020-08-112020-08-112024-07-28Bibliografiskt granskad