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Home * Master Classes * Smart Energy Management for Factories of the Future

25 Nov 2019 - 26 Nov 2019

Course Introduction

A most popular solution for energy efficiency improvement nowadays is still the plug-andplay, replacement of inefficient equipment. But the big bulk of energy used in the operations is still very much looming in the dark. Without looking into this “black box”, there is nowhere to devise any energy saving initiative to further reduce corporate energy use once those “low-lying fruits” were replaced.

To succeed in this, we need to make the black box visible and ultimately control it, and fortunately, by leveraging on the design principles of Industry 4.0, we have a platform to do so! The two most relevant design principles of Industry 4.0 to energy management are namely, Information Transparency and Technical Assistance. Information Transparency refers to the creation of digital plant models with extensive energy relevant data mimic the real physical context that how the total input energy is used. This requires the aggregation of raw sensor data to higher-value context information, and performing very large data analytics. Next is to act on this information timely and eventually control the anomalous energy usage almost real-time.

The Master Class is based on a highly successful professional 40-hour “DieLernfabrik” (Learning Factory) course in TU Braunschweig. This course is first of its kind tailored for the Singapore industry, and will be conducted in a unique, immersive learning environment – Model Factory@SIMTech (click here to visit its website).

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Realising that the key success factor for energy management is behavioral, the Master Class focuses on the strategic issues, rather than technical implementation in energy management (which is covered by SIMTech WSQ Course¹). The Master Class starts with a bird-eye view of factory and facilities as a holistic and symbiotic system; then quickly followed by a comprehensive discussion on the strategic issues in energy management. With these strategic contexts, the Class turns into demonstrating how to leverage on the Industry 4.0 technologies, for example, the cyber physical system, for energy management, which is an emerging technology that ensures effective visualisation of energy usage and timely corrective actions.

¹ PE WSQ Course in Productivity Improvement through Energy Usage Pattern Monitoring and Analysis

This master class is designed for Chief Sustainability Officers, senior management in the facilities and operation management, Energy Efficiency Initiative leaders, Singapore Certified Energy Managers² etc.

Footnote: ²Singapore Certified Energy Managers would be conferred 15 Professional Development Units (PDUs).

The 2-day Master Class consists of eight sessions:


Participants undergo experiential learning with actual hands-on on facilities and manufacturing equipment in the model factories of SIMTech and from the Technische Universität (TU) Braunschweig, Germany. The participants would make real energy efficiency decisions from the Nerve Centre of the Model Factory@SIMTech and, and also see how their corrective actions improve the factory energy efficiency.

The Master Class is delivered by a very reputable Principal Instructor, Professor Christoph Herrmann, an expert in Energy Management who is excellent in engaging audience during training. He will be assisted by several other energy efficiency experts from Germany and SIMTech during the Master Class in order to ensure a high impact learning experience through realistic contexts.

Prof. Dr.-Ing. Christoph Herrmann is an expert in the fields of Sustainability and Energy Management. He is a university professor for Sustainable Manufacturing & Life Cycle Engineering and a co-director of IWF, Institute of Machine Tools and Production Technology, Technische Universität Braunschweig as well as a member of the institute management at the Fraunhofer Institute for Surface Engineering and Thin Films IST. As a company’s founder (2002 - 2007), he has transferred tools and services to support design for environment into the electric/electronic and automotive industry. From 2005 to 2008, he was a scientific director of KERP Center of Excellence Environment & Electronics, Vienna. From August 2009 to February 2013, he was a scientific director and member of the Automotive Research Center Niedersachsen (NFF). Since 2018, he has been leading the internationalization program of the Open Hybrid LabFactory (OHLF), a Research Campus organized as Public-Private Partnership for Innovation aiming at large-scale and long-term cooperation between science and industry.

In 2011, Prof. Herrmann’s team, together with colleagues from Fraunhofer and industry partners, won the German Resource Efficiency Award from the Federal Ministry of Economics and Technology (BMWi), Germany. In 2013, his lecture “Product and Life Cycle Management (Today: Ganzheitliches Life Cycle Management)” was rewarded with the LehrLEO award by the TU Braunschweig as the best lecture in their Bachelor Degree programme. Since 2012, he has been a Visiting SIMTech Fellow with SIMTech. Professor Herrmann has conducted various industry and research projects on national and international level. He has published more than 300 papers and book publications as author, co-author and editor.

When and Where

  • Dates:   25 - 26 November 2019 (Monday & Tuesday)
                   ~ 15 SCEM-PDUs for this intake (to be confirmed).

  • Venue:   Singapore Institute of Manufacturing Technology
                   6 Fusionopolis Way, Synthesis, Level 1,
                   Model Factory@SIMTech
                   Singapore 138636

Visit here for directions on how to reach the venue. Synthesis is located next to Innovis.
Click here to download map to reach Model Factory@SIMTech.

Course Fee

    Singaporeans & Permanent Residents
     $500* + GST per participant
    Others  $1,800 + GST per participant
     *After course fee subsidy from the Workforce Singapore (WSG) Agency

Contact Us

For registration enquiries, please contact:
Mr Joshua Thong, Industry Development Manager, at

For technical information, please contact:
Ms Tan Yee Shee, Senior Research Engineer at


| Programme Brochure |

Supported by:

Funded by:


Only attendees will receive the email link to access the photo album from GC2019.


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