Rishi Relan Email & Phone Number

Gurugram, Hr, In

As a member of the global R&D team of Siemens Energy, I am responsible for developing capabilities related to digital twins, system identification and data-driven mathematical modelling across BESS product lines, including the service business. I combine different engineering disciplines to solve modern-day engineering problems. I regularly interact with R&D teams in Siemens Energy, USA, Siemens Energy AS, Norway and Siemens Energy AG, Germany.I lead the department’s engineering and R&D operations for all fields. I am responsible for the department’s R&D and engineering budget and headcount planning, people’s development and other business-related tasks in India.

I am the Product Owner (global) for the BESS-Digitalization expert-hub responsible for the development of future digitalization tools and services for Battery Energy Storage Systems (BESS) within the Grid Technology vertical of Siemens Energy. I am responsible for the R&D roadmap and budget planning along with the R&D project execution within the BESS-Digitalization Expert-hub.

• Since October 2023, I have been the technical consultant for the development of the "Generator Reliability Twin" within the Large Generator Engineering R&D department.• From October 2022 to September 2023, I was the technical lead for the development of the "Generator Reliability Twin" within the Large Generator Engineering R&D department.

My current responsibilities include the following:• Digital Twin technical advisor of the "Condition Based Service Intervention (CbSI)" field of action (FoA) within Siemens Energy. CbSI is one of five major five FoAs in Siemens Energy.• Technical advisor for Real-Time Soft-Sensing Solution for Thermal Modelling Module (RTTM) of Gas turbines.

Past Projects:• Led the development of a dynamic digital twin for predictive maintenance of large rotating equipment hot components.• Contributed as a research team member in a German public-funded (Spitzencluster für industrielle Innovationen e.V., NRW) research project, KV-Batt.• Led the project to develop "Surrogate Models for Computationally Expensive High-Fidelity Models in Generator Engineering Portfolio".• Built an Indo-German collaboration network for Additive Manufacturing of Generator components and public funding.• Contributed to the Root-Cause analysis of blade crack in Gas Turbine• Contributed to the development of an algorithm for rotor inter-turn fault identification.• Collaborated with large gas turbine colleagues to develop a surrogate/meta-model for sensitivity analysis of fatigue indicators like LCF, TMF and creep with respect to manufacturing changes in blades.

Amaravati, Andhra Pradesh, In

Gurgaon, In

Lyngby, Hovedstaden, Dk

I contributed to various projects in the field of smart energy systems, smart cities and sustainable buildings, energy transmission and smart manufacturing of wind turbine blades. I also contributed to the project management activities of various projects sponsored by the European Union through Horizon 2020 call as well as the local Danish government through Innovationsfonden Denmark. More details about the project where I contributed in various capacities can be found below:• http://smart-cities-centre.org/ (Innovationsfonden, Denmark)• http://www.flexcoop.eu/ (EU Horizon2020)• http://en.made.dk/home/ (Innovationfonden, Denmark)• http://rebus.nu/english/ (Innovationsfonden, Denmark)Major Activities:----------------(a) Characterization of energy flexibility in buildings and districts. (b) Modelling and forecasting for the energy sector, smart cities etc. in collaboration with multiple European industrial and research partners including Fraunhofer-FOKUS, Germany; International Centre for Numerical Methods in Engineering (CIMNE, Spain); ResCoop (EU), Som Energia (Spain) etc.(c) Contributed to the development of the forecasting algorithm of dynamic electricity prices through neural network techniques for the largest Danish Transmission Service Operator (TSO), ENERGINET. (d) Modelling (Virtual sensing) of the flow-front dynamics in collaboration with Siemens Gamesa Renewable Energy, Aalborg, Denmark.(e) Contributed to the development of the "occupancy detection algorithm in buildings" in the Renovating Buildings Sustainably (REBUS) project. (f) Project management.(g) Acted as a PhD co-supervisor of two PhDs at DTU Compute • Industrial PhD on the topic of "Sensor-based process monitoring of a large scale vacuum casting process in collaboration with Siemens Gamesa Renewable Energy, Aalborg, Denmark. • Academic PhD on the topic of "Characterization and Integration of Energy Flexibility through Stochastic Modelling and Control".

Brussel, Be

I contributed in the development of the theory of nonlinear system identification (estimating / learning system dynamics from the data) on the theoretical side of the research spectrum. On the applied research front, I developed techniques and methodologies for the nonlinear characterisation as well as identification of a dynamic lithium-ion based battery modelling unit for traction applications. For developing and testing data-driven battery models, I collaborated with a multidisciplinary team comprising leading industrial partners like e.g. Volvo cars, Toyota, Umicore, etc.Research domain: System & control theory, machine learning, signal processing, multi-linear (Tensor) algebra and optimisation.

Zürich, Ch

I visited the Automatic Control Laboratory of the Department of Information Technology and Electrical Engineering, ETH Zurich for collaboration on system identification.

Macclesfield, Gb

I was responsible for the commissioning of scientific articles in multiple domains.

London, England, Gb

I was a Rolls-Royce plc and EPSRC sponsored researcher in "Systems Health Monitoring" at Rolls-Royce University Technology Centre based in the Department of Automatic Control and Systems Engineering of the University of Sheffield, the U.K. The Rolls-Royce University Technology Centre is devoted to research in the areas of control and monitoring of gas turbine engines. I collaborated with Aero-Engine Controls, Birmingham and Rolls-Royce, Derby for engine health monitoring and fuel-metering valve incipient fault monitoring.Key Responsibilities: • Data analysis, signal processing and simulation of gas turbine engine model components.• Use of statistical signal processing, information theory and machine learning to develop trend monitoring, change detection, fault diagnosis and prognosis algorithms.• Framework design for system health monitoring of gas turbine engines and its accessories.• Failure mode, effects and criticality analysis (FMECA).• Patent survey, review and analysis

Brussel, Be

I visited the department ELEC at the VUB for collaboration on the topics related to system Identification and signal processing.

New Delhi, In

I was a senior researcher in the field of rotor dynamics and active vibration control in the Department of Mechanical Engineering, IIT Delhi. Main tasks: Modelling and simulation of rotor-dynamics for active vibration control Key Responsibilities: • Developed mathematical models and designed test-bench for active vibration control experiments.• Troubleshoot and design of experiments for data acquisition. • Developed control framework for active vibration control of multi-disk rotor shaft system. • Project management.

Paderborn, De

dSPACE is the world’s leading producer of solutions for developing and testing fast mechatronic control systems. Key Responsibilities:• Full-time Resident Engineer in the International Technology and Research Center (ITEZ) for General Motors (GM/Adam Opel GmbH) Europe in Rüsselsheim. a) Hardware-in-loop simulations, b) Vehicle Dynamics Simulations. c) Model-Based Failsafe Testing.• Handling customer projects at the headquarter in Paderborn. For example projects for Continental, GM etc. in the field of Hardware-in-loop simulations (both mid-size and full-size simulators).

Weingarten, De

At Tox-Pressotechnik my key responsibilities included: • Literature and patent survey.• Design test benches and experiments for data acquisition.• Data analysis and nonlinear mathematical modelling of pneumo-hydraulic servo systems.• Parameter estimation of the model.• Theoretical and practical investigations of different control systems architectures.• PLC based controller design.• Programming in C of SSI interface for position sensor measurement.• Hardware-in-loop simulations.• The design of the Micro-Controller concept.

Sonepat, Haryana, In

Main Responsibilities:• Product development and maintenance of textile machines.• PLC programming.• Design and implementation of pneumatic circuits of textile machines

I worked on a new concept of intelligent pleating machine. Pleating machines are used in the filter industry to fold filter papers in different configurations.Main Responsibilities:• Developed software for intelligent pleating machine for filter paper pleating.• Designed and implemented pneumatic circuits on real machines.

Gurgaon, Haryana, In

Industrial training on PLC and SCADA based control and monitoring design.

Main responsibilities included industrial training on:• Batch control system and PLC based control.• Sensors based instrumentation of sheet glass batch plant.

Doctor Of Philosophy (Phd), Engineering Science

Master Of Philosophy (Mphil.), Control Systems

Advanced Master Of Science (Msc), Artificial Intelligence

Master Of Science (Msc), Mechatronics

Bachelor Of Technology - Btech, Instrumentation & Control Engineering