Intelligent software solutions for a sustainable and efficient energy world
fortiss sees the current challenges in the energy sector as an opportunity to drive innovative solutions forward: from maximising renewable energies and strengthening grid stability to developing customer-oriented digital experiences that promote sustainable and long-term growth. Using state-of-the-art technologies and algorithms, we integrate artificial intelligence and machine learning to develop forward-looking and sustainable approaches for the energy industry. fortiss offers efficient and scalable software solutions that meet the increasing demands of the industry and support a sustainable energy future.
Software platforms and applications are central components of digitalisation in the energy industry. fortiss develops solutions to master the increasing complexity and high demands on system architectures and interfaces.This includes the coupling of sectors such as heat, electricity, water and mobility as well as the integration of renewable energies and the flexibilisation of energy systems. In view of the growing importance of energy in industry and the public sector, fortiss has further expanded its expertise in this area. A particular focus is on the use of AI for modelling, analysing and optimising energy systems in order to reduce energy consumption and achieve cost savings through flexible energy management that can respond to market requirements.
fortiss provides scientifically elaborated potential analyses and specialist studies in the fields of AI, machine learning and software architectures, specially tailored to the requirements of the energy sector. In company-specific workshops, we work out your individual challenges and requirements, analyse the problems, identify possible causes and solutions and develop optimisation options to unlock the untapped potential of your organisation. The results can be used as a basis for the development of concrete prototypes or for setting up cooperation projects.
With the fortiss Quick-Checks, fortiss offers small and medium-sized companies in the energy sector application-related online tools for the initial analysis of internal software development processes. This includes feasibility analyses and adaptation of specific methods to the respective task. The Energy Quick Check in particular offers the opportunity to gain an insight into the requirements for optimising energy consumption.
fortiss is a reliable, technological and manufacturer-independent partner for companies in the energy sector that want to realise innovative digital processes, products or services in pilot projects. Depending on the scope of the project, the institute develops initial concepts through to pre-competitive software solutions (Technology Readiness Level TRL 6), which are evaluated in industrial environments.
The fortiss experts design and realise projects together with industrial partners and within the framework of public funding, whether in bilateral collaborations or in larger consortia. We provide your company with expert support on the path to a collaborative research project and analyse your questions and challenges.
In introductory workshops, we identify suitable cooperation and funding opportunities, provide technical and administrative support when submitting joint project applications and offer state-of-the-art research in the field of software and AI.
fortiss undertakes software engineering based on specific simulation environments and offers a wide range of options for exploring, testing and evaluating new solutions for software-intensive systems. As a partner, you can access the know-how of experienced experts to jointly develop solutions for challenges in the energy industry environment.
The fortiss programme includes
The fortiss Labs offer companies their own premises in which partners from research and industry can interact using existing or newly developed demonstrators. Platforms, simulation environments and software tools are available here. Various prototypes are evaluated in field tests in the Energy Lab so that realistic problems and challenges in the energy sector can be addressed.
The use cases as well as the transfer of data into models and the analysis of different scenarios and system variations make it possible to solve challenges such as increasing complexity, for example due to sector coupling. Among other things, they show how standardised interfaces can be used to link different energy technology components such as battery storage, photovoltaic systems, sensors and devices for system control.
The labs are located on the 15th floor of the Highlight Towers in Munich and comprise a test area for Industrial IoT (IIoT), mobility, robotics, energy and neuromorphic computing. Here, key issues in the energy sector are analysed and modern research methods are combined across disciplines, while technologies are tested under real-life conditions and the results are prepared as prototypes for practical application.
The customised training and further education courses for companies in the energy industry include practice-oriented training, workshops and lectures on current topics. Experts impart both theoretical knowledge and practical skills, the combination of which is crucial for the successful implementation of innovative software solutions.
The training courses cover specific methods and tools and highlight the potential of new software technologies and their practical application in the energy sector. In addition, we offer customised training to enable teams to acquire the necessary knowledge and skills for specific challenges.
We offer the following training programmes specifically for the needs of the energy sector:
You can find these and other qualification programmes as well as the opportunity to register under fortiss qualification programmes.
We offer these and many other topics both in-house and at your premises. Contact us about your topics.
Do you have a question about our services, are you looking for an innovative solution in the field of software or do you already have specific ideas?
Our research activities in the energy sector focus on the development of intelligent solutions for an efficient, reliable and sustainable energy supply. With technologies such as artificial intelligence, digital twins and modern data analyses, we promote the integration of renewable energies, flexible load control and cross-sector cooperation.
Our focus is on grid stability, decentralised energy markets and advanced energy management. We offer energy providers, grid operators and companies tools to optimise energy flows, detect malfunctions at an early stage and achieve sustainability goals. Our aim is to play an active role in shaping the energy transition and create the basis for a climate-neutral energy supply.
The use of modern technologies such as artificial intelligence and digital twins sustainably improves grid stability. With the help of precise data analysis, faults are localised quickly and grid disruptions are detected at an early stage. Decentralised grid control enables flexible adaptation to changing conditions and optimises the energy supply. These innovative approaches promote the integration of renewable energies and contribute to increased efficiency and better load control.
Efficient data analysis for accurate fault localisation
The precise localisation of fault sources such as earth faults is made possible by advanced data analysis methods with the help of AI. Rapid fault identification and the avoidance of subsequent faults ensure greater operational safety and optimise the reliability of power grids.
Transparency and detailed information about grid systems
In-depth insights into electricity and heating grids are provided. Information on loads, faults and the grid topology creates maximum transparency and supports well-founded decisions to optimise and stabilise the infrastructure.
Real-time monitoring and decentralised grid control
By using technologies such as machine learning and digital twins, power grid conditions are analysed in real time. Faults are recognised and isolated, and grid segments can be reconfigured autonomously. This improves grid stability and minimises downtimes, even in remote regions.
Robustness thanks to diverse data sources
Digital twins of the power grid integrate heterogeneous measurement data, increase fault localisation accuracy and ensure grid reliability, even in the event of faulty inputs.
Flexibilisation and intelligent infrastructure
Based on grid status factors such as power quality indicators, local flexibilities are used for decentralised and autonomous grid control that keeps the power supply efficient and stable.
Scalable flexibility management and integration of flexible loads
Flexible load management solutions optimise demand in real time. They help to scale or shift consumer loads and adapt them specifically to the respective grid conditions, allowing capacities to be utilised efficiently.
The development and implementation of efficient energy management systems (EMS) enables the flexible control of energy flows and supports the integration of renewable energies. The combination of flexibility management, sector coupling and innovative memory solutions optimizes the use of resources, promotes grid stability and improves the carbon footprint. These systems help to reduce operating costs and support companies on their way to a climate-neutral future.
Efficient development of energy management systems
The ‘Industrial Demand-Oriented Platform’ (IDOP platform) enables the simple development and implementation of energy management systems. It supports energy providers and aggregators in bundling energy demand and flexible control.
Energy monitoring and flexibility management
Monitoring solutions and the flexible control of energy systems through flexibility interfaces optimise the control of energy flows and promote the precise use of resources.
Sector coupling
Clear rules and the common data basis and language of energy management systems enable different energy sectors to work together and facilitate sector coupling.
Integration of renewable energy sources
Renewable energies are efficiently integrated through sector coupling and innovative concepts such as heating networks 4.0, energy storage solutions and digital twins. These approaches improve efficiency, simplify planning and make a significant contribution to climate neutrality.
CO₂ balancing and sustainability
Tools for analysing energy consumption and emissions support companies in complying with guidelines and reducing greenhouse gases.
Sustainable urban energy management
Networked systems in urban districts minimise losses, promote the direct use of renewable energies and offer sustainable solutions for a climate-neutral future.
Data security for critical infrastructures
Modern security methods such as DevSecOps ensure secure and resilient operation as well as data protection against attacks and seamlessly integrate existing systems. This ensures continuous security and efficiency in software development and operation.
Dynamic adaptation to variable electricity prices
Energy management systems can react dynamically to variable electricity prices by shifting energy consumption to times when prices are lower. This improves the efficiency and flexibility of the entire energy system.
The use of advanced data infrastructures and digital twins enables more precise planning and optimisation of energy data. The use of structured data organisation and modern platforms ensures efficient management. AI-supported integration of diverse data sources and secure data exchange increase planning and efficiency, while better networking drives the energy transition and future-proofs the energy supply.
Knowledge-based and future-orientated data infrastructures
Ontologies, knowledge graphs and modern platforms ensure a structured and centralised organisation of energy data.
Efficient data exchange
Secure, cost-efficient and cross-manufacturer exchange is realised through central software solutions. Seamless communication between devices, customers and energy providers increases the efficiency and interoperability of energy systems.
Integration of diverse data sources
Data from buildings, smart meters and weather models are brought together and supplemented by AI to make planning more precise and efficient.
Development of data platforms
Promoting collaboration is made possible by data platforms that provide valuable information to planners and organisations. They ensure compliance with regulations.
Automated planning processes
Data-driven technologies accelerate and specify planning processes, reduce costs and facilitate long-term infrastructure projects.
Digital twins for energy infrastructures
Simulations of energy infrastructures identify optimisation potential and support economic and technical planning.
AI has the potential to fundamentally transform the energy sector. By using advanced algorithms and machine learning, energy providers and grid operators can make more precise predictions, carry out systematic optimisations and achieve greater efficiency in the operation of their energy systems. In the field of energy management in particular, AI-based solutions are opening up new possibilities that go beyond traditional approaches to system integration. With these innovative approaches, AI increases the flexibility, stability and sustainability of energy infrastructures and thus makes a decisive contribution to modernizing and stabilizing the energy supply.
Whether photovoltaics on the production hall, municipal wind turbines or rooftop solar on your own home - electricity generation is becoming more flexible as a result of the energy transition. The advantages of a decentralised and direct electricity trading system are to be exploited through a digital marketplace. The aim of the BEST project was to make this a reality.
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