Kurztitel: CleanTechCampus
Ausführende Stelle: Technische Universität München - Fakultät für Maschinenwesen - Lehrstuhl für Energiesysteme
Förderinitiative: Energieeffiziente Stadt (EnEff:Stadt)
Laufzeit: 05/2016 bis 10/2019
Bewilligte Summe: 881.309 €
Förderkennzeichen: 03ET1407A
Topics: District concepts, Energy planning for cities, Decentralised energy generation, Electricity grids, Heating & cooling networks, Energy storage, Load management, Waste heat utilisation, Modelling & simulation, Planning & design
Innovation: Optimisation of buildings and networks in existing building stock and new-build schemes; development of an energy network and supply expansion plan as well as an open source model.


  • Development of a methodology for evaluating and optimising complex energy systems using TU München's Garching Campus as an example
  • Further development of the RIVUS and URBS optimisation tools for an optimised campus energy concept
  • Energy network and supply expansion plans as the basis for overall optimisation
  • Concept exemplary for heterogeneous mixed-use areas

By analysing historical consumption and simulating large loads, power, heating and cooling demand scenarios are being drawn up for the future development of TU München's Garching Campus and optimised across all sectors. The applied RIVUS and URBS optimisation tools will be further developed in the research project for this purpose. It is intended that the research will produce a methodology for evaluating and optimising complex energy systems that can be applied to heterogeneous mixed-use areas. It will be released as an open source tool.

Project context

With more than 15,000 students and 6,000 employees, TU München's Garching Campus is already one of the largest university sites in Germany. If the rapid growth of recent years continues, it will be necessary to redesign the energy supply in the near future.

In view of this, an innovative energy concept is being developed as part of the CleanTechCampus project, which is implementing the integration of the existing and newly added building structure into a highly efficient supply and increasingly renewable generation structure. To this end a holistic approach is being adopted in which the power, heating and cooling supplies are not considered individually as is usually the case but in a coupled manner.

The necessary methods and tools for this are being developed as part of an interdisciplinary approach and can then – together with the insights gained in the project – be used to optimise other complex mixed-use areas in the trade, commerce and services sector.

Overview of the building structure on the TUM campus in Garching

Overview of the building structure on the TUM campus in Garching

© Lehrstuhl für Energiesysteme (LES, TUM)

Research focus

The cross-sector optimisation offers opportunities to exploit synergies that cannot be utilised – or only to an insufficient extent – in standard energy system development. This enables potential energy savings and economic benefits to be realised. The research is focussing on developing a methodology for optimising coupled power, heating and cooling systems with the incorporation of loads, generators and storage systems. The methodology shall be made available as an open source tool.

It is intended to answer the following key questions concerned with optimisation:

  • How can network structures be planned in such a way that they are easy to implement and, at the same time, can be adapted to rapid changes in the demand and generation structures?
  • How can the various potential provided by the interactions between the different sectors and components of the energy system be identified and utilised?
  • How and where can new technologies be effectively integrated into the existing infrastructure for mixed-use areas?

Further images

Central idea and approach

Based on an analysis of the historical consumption, simulations of large loads and the planned campus development, electricity, heating and cooling demand scenarios are being developed for the Garching Campus. With the aim of optimally meeting requirements in terms of costs, energy efficiency and the proportion of renewable energies, an energy generation system for the campus shall be planned and optimised by further developing the cross-sector RIVUS and URBS optimisation tools. The iterative planning process and the optimisation software will be published as an open source tool.

Purpose and aims

Application area District concepts, planning/optimisation of the overall energy system, detailed and overall simulations, integral planning and sustainable location development; illustrative purpose: Open source tool to motivate other players to optimise their energy systems.
Outlook Publication as an open source tool; optimised energy concept for the campus and resulting environmental and economic benefits as well as transferable findings
Method / Concept type  
Modelling & simulation Building simulation, temporal and spatial optimisation of the energy supply, network simulation (4-line electricity grid model, district heating), detailed modelling of individual technologies (ChengCycle, improvements to this, etc.)
Planning & design Planning and design of the energy provision for mixed-use districts (TCS profile)

Testing and application

The methodology and optimisation tools will be published as an open source tool. In the project, the methodology will be applied to the TU München's campus in Garching in order to develop a roadmap for expanding and reconstructing the energy system. In addition, the methodology will be used to model the use of innovative technologies and solutions in a strongly coupled energy system in order to demonstrate these in pilot projects on campus in the next phase.

The project will provide transferable insights into the design of robust and sustainable power and network structures for complex mixed-use areas. It should be easy to transfer the various cross-sector optimisation potential and tools to similar districts such as so-called high-tech parks.

Application-ready product or process

Application conditions, possibilities Cross-sector energy system planning and guidelines for optimising the energy system for districts with a high TCS presence and complex mixed-use areas
Application conditions, possibilities Identification of opportunities for exploiting synergies that are not or only inadequately used in standard energy system development. This will enable potential energy and CO2 savings and economic benefits to be realised.
Reference address / Download Publication of the cross-sector URBS optimisation tool – a linear optimisation model for distributed energy systems (temporal), see links
Reference address / Download Publication of the cross-sector RIVUS optimisation tool – a linear optimisation model for energy infrastructure networks (spatial), see links

Last Update: 26. May 2017

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