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Efficiency analysis methodology. Deliverable D4.1

Effizienzanalysemethodik. Deliverable D4.1
: Korolija, Ivan; Greenough, Rick; Wright, Andy; Stoldt, Johannes; Franz, Enrico; Murray, Vincent; Jakob, Uli; Gandiaga, Iñigo

Fulltext urn:nbn:de:0011-n-4456256 (2.1 MByte PDF)
MD5 Fingerprint: ebc7ee09a6775c52160b3d504672e598
Created on: 23.5.2017

Brussels: European Commission, 2017, 75 pp.
European Commission EC
FP7-NMP; 608977; REEMAIN
Resource and Energy Efficient Manufacturing
Report, Electronic Publication
Fraunhofer IWU ()
Renewable Energy Systems; energy efficiency; Modelling Tools; resource networks

This deliverable describes the various elements of a methodology for modelling the energy generated and used by the different parts of an industrial energy system, in REEMAIN. This is necessary to analyse the efficiency of the industrial energy system in order to identify the improvements that can be delivered by the integration of renewable energy systems, the use of technology for waste energy capture and the derivation of more energy efficient manufacturing schedules.Chapter 1 of the deliverable presents the resource networks methodology developed by Fraunhofer IWU, which is a conceptual tool to deal with the complexity of integrating renewable energy systems into manufacturing systems, while respecting the realities of material flows, processing requirements, grid constraints and personnel capabilities. Chapter 2 describes a means by which energy demand profiles may be conceptualised, captured from reality and modelled. This chapter also explains how the different combinations of heating and cooling requirements of processes within the factory give rise to a range of demand profiles whose shape can significantly impact the efficiency of energy systems. This is why the concept of rough-cut demand modelling developed in D3.3 is so important to REEMAIN. The chapter closes with a description of the use of discrete event simulation as a tool for modelling industrial energy demand. Chapter 3 covers the various theories and empirical approaches that underpin the models of the renewable energy technologies selected for inclusion in REEMAIN, including solar PV, solar thermal collectors, solar concentrators, hot water storage, Lithium-ion batteries, solar cooling systems, combined heating, power and cooling and the organic Rankine Cycle. Chapter 4 explains how these discrete models of selected technologies may be integrated to create a model of an energy system that can be used to explore the dynamic efficiency of the complete energy system. Chapter 5 describes and compares a range of commercially available modelling tools that may be used to create dynamic models of the energy supply technologies, the components of new energy systems and the demand from the factory; as well as the means of exchanging data between different tools. Finally chapter 6 consolidates the previous chapters by presenting the results of discussions between the authors in the form of a suggested modelling approach that will be developed and refined through the rest of the tasks within work package 4.