Integrated Urban-Energy Planning for the Redevelopment of the Berlin-Tegel Airport

In order to achieve their sustainable targets, cities are today looking for better solutions for integrating infrastructure systems into their urban planning. A large variety of tools exists for decision support both in energy planning and in city planning, but few of them combine detailed multi-energy modelling and a user-centered collaborative development process in the early phases of an urban project. With the opening of the Berlin Brandenburg Airport, the Berlin-Tegel Airport (Berlin TXL) will be redeveloped as an innovative hub for cutting-edge research and industry under the umbrella of Berlin TXL – The Urban Tech Republic (UTR). The European Institute for Energy Research (EIFER), the energy provider Electricite de France (EDF), the Department of Urban and Regional Planning (ISR) of the University of Technology Berlin (TU Berlin) and the Drees and Sommer Advanced Building Technologies company for energy design started in 2014 a collaboration with Tegel Projekt GmbH, the agency in charge of the development of the site, in order to unify urban and energy planning for the redevelopment of Berlin TXL. Based on an innovative modelling approach coupling both spatial and multi-energy systems, they developed a simulation prototype illustrating the interrelation between different technologies, land uses, and planning decisions. Several collaborative workshops were conducted as TU Urban_Labs led by the TU Berlin in order to integrate relevant actors into the planning process. This paper describes the integrative and collaborative approach developed by the participants to answer the needs and questions of Tegel Projekt GmbH regarding the energy planning of the future redevelopment of Berlin TXL according to the spatial setting.

[1]  Stefan Lechtenböhmer,et al.  Sustainable Urban Infrastructure : Ausgabe München ; Wege in eine CO2-freie Zukunft , 2009 .

[2]  Rita Streblow,et al.  Challenges in modeling a multi-energy system at city quarter level , 2012, 2012 Complexity in Engineering (COMPENG). Proceedings.

[3]  Enrique Kremers,et al.  Agent based modeling of energy networks , 2014 .

[4]  Tim Brown,et al.  Change by Design: How Design Thinking Transforms Organizations and Inspires Innovation , 2009 .

[5]  James Keirstead,et al.  SYNCITY: AN INTEGRATED TOOL KIT FOR URBAN ENERGY SYSTEMS MODELLING , 2009 .

[6]  Enrique Kremers,et al.  Model-Based Analysis of Urban Energy Systems (on the Basis of a City's Energy Master Plan) , 2015 .

[7]  Goran Krajačić,et al.  H2RES, Energy planning tool for island energy systems – The case of the Island of Mljet , 2009 .

[8]  Enrique Kremers,et al.  Towards a 3D Spatial Urban Energy Modelling Approach , 2013, Int. J. 3 D Inf. Model..

[9]  F. Maréchal,et al.  Energy Planning in the Urban Context: Challenges and Perspectives☆ , 2015 .

[10]  Philipp Rode,et al.  Cities and Energy: Urban Morphology and Residential Heat-Energy Demand , 2014 .

[11]  S. Salat.  Energy loads, CO2 emissions and building stocks: morphologies, typologies, energy systems and behaviour , 2009 .

[12]  David P. Lawrence,et al.  Planning theories and environmental impact assessment , 2000 .

[13]  L Lütteken,et al.  Ralph Schumacher: Macht Mozart schlau? Die Förderung kognitiver Kompetenzen durch Musik. Mit Beiträgen von Eckart Altenmüller et al. Bonn, Berlin: Bundesministerium für Bildung und Forschung 2006 , 2008 .

[14]  Enrique Kremers,et al.  Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models , 2013 .

[15]  Enrique Kremers,et al.  Optimization applied with agent based modelling in the context of urban energy planning , 2015, 2015 Winter Simulation Conference (WSC).

[16]  François Maréchal,et al.  EnerGis: A geographical information based system for the evaluation of integrated energy conversion systems in urban areas , 2008 .