Gestione energetica trasparente ed ottimizzata Il caso Weidmüller e Winkelmann. Relatore: Simone Merlotti - Product Expert Electronics

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1 Gestione energetica trasparente ed ottimizzata Il caso Weidmüller e Winkelmann Relatore: Simone Merlotti - Product Expert Electronics

2 An international Company has more subsidiaries 27 Sales companies ~60 Exclusive agencies and Representatives Other distributors and direct delivery in particular cases

3 Sustainability roadmap example A modern Company lives it s ecological responsibility through continuous reduction of used resources. We claim this not only to ourselves, but to our partners as well not because of global trends, but out of conviction. 2016: B.A.U.M- environment award 2015: dena Best-Practice-Label 2014: GreenTec-Award (Category Production) 2013: Award climate protection company 2012: DIN EN ISO : Introduction energy monitoring-software 2007: Energy Efficiency Award (dena) 1993: Worldwide waste concept 1991: DIN EN ISO : Founding of working group environmental protection 1980: Intruduction active plastics recycling

4 Energy management Potential % Up to 40 % Up to 80% 70 % Possible savings in producing industry Part of energy costs of cost of sales Of energy costs are related to production Source: Fraunhofer-Institut Average 10%, energy intensive branches up to 40% For energy intensive branches

5 Energy management Reasons for energy management A B C D E F G Compliance Competitiveness Sustainability % Up to 40 % Up to 80% 70 % Energy savings in industry Energy costs at CoS Of energy costs ac-counted for production

6 efficiency Energy management Step towards an energy-efficient, intelligent factory Establish a continuous improvement process Implement an action Identify potentials Evaluate energy efficiency Increase transparency and raise awareness Record, condense and archive measurement data Energy efficiency in production processes is based on the transparency of the energy input

7 Energy audit Measurements System implementation & trainings Load profile analysis & Cost center reports Energy indicators (KPI) Energy reports Cockpits Expert services Process analysis Product specific evaluations Process indicators KPI Process reporting and benchmarking Energy management How to implement energy management 1 RECORDING 2 TRANSPARENCY 3 EFFICIENCY 4 OPTIMIZATION Time

8 Field instruments needs Hardware IP20 Couppler IP20 I/O Modules Periphery Current transformers Analog Converter Power measurementmodule Network components Energy Analyser Energy Meter - Series Energy Logger EM-Connectivity-Box

9 Measuring levels Measure energy and process data on all levels of production Long-term success through optimization Secure data transfer in numerous protocols

10 Measuring levels transparent consumption data acquisition

11 Software needs 1) Record measuring data 2) Define characteristic values 3) Assign influence factors 4) Monitoring, CIP & automated report

12 Interfaces to the utility world data M-Bus via Gateway Modbus TCP CSV-Import MS SQL Modbus RTU XML-Import Oracle OPC DA OPC UA Excel import Manual input MySQL ODBC Energy Management Main distribution Sub distribution Software SPS-Machine Field devices Siemens Win CC

13 Measuring, collect, evaluate Machine A Production plant A Lighting, etc. Intranet Software CLOUD Virtual Machine Controlling Maintenance Machine B IT, etc. Software LOCAL Server Outsourcing Production plant B Production plant C Office

14 Possible system configuration A B C A B C A B C Daten- Logger Daten- Logger Daten- Logger Data collection in every Plant Central Data collection From remote Cloud Central Data collection with Data Logger Fog Cloud

15 Transparent factory experience From producers. For producers. Producing company has the same needs of the end customers. The transparent factory Needs and Problems of customers debate Technic to touch and understand Bidirectional communication Company philosophy From producers for producers Transparency Solution oriented

16 Case hardening oven Initial situation Reduce peak load No conclusions to machines or departments possible through the load curves from the network operators Approach Result Record main consumer with our energy management system Identify hardening oven as a relevant to billing consumer Optimisation by an external company (reprogrammed control system) By means of a new measurement and the analysis, we were able to prove and to document with data that there have been no improvements kw Renewed programming of the control system without additional costs for us Load peak was reduced from ca. 200kW to 90kW Regular operation before optimisation Facility is not in regular operation Regular operation after optimisation Amortisation 0,4 years Hardening oven 1 power [kw] Total savings Peak loads reduction Cost savings 110 kw Euro/a t

17 Winkelmann group Using the "Energy Management" software, all of the relevant consumption figures and parameters are determined for energy controlling purposes from automatic documentation to comparative analysis.

18 Winkelmann group practical example The energy saving in this Winkelmann press equipment is demonstrated by measurements before and after the fitting of a frequency converter to the hydraulic pump visualized and recorded using the "Energy Manager" software Total Machine consumption measurement Influencing device measurement

19 Your benefits You are on the way to a smart factory We precede the way in machine building The Challenges are rising - Smart Factorys revolutionize the production Elektronics and Modularization that are able to communicate forming the basis for economic efficiency We have the whole in sight: integrated Solutions by one hand specific for the requirements of the branch For a simple and simultaneous safe montage, installation, commissioning and maintenance

20 Thank you for your attention