Hempel,D. Janke, M. König, A. Englisch, S. Pinto, C. Ammon, T. Amon - Department of Engineering for Livestock Management, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Max-Eyth-Allee 100, 14469 Potsdam,Germany

C. Menz - Climate Impacts and Vulnerabilities, Potsdam Institute for Climate Impact Research (PIK), Telegraphenberg A62, 14473 Potsdam, Germany; L. Rong, C. Zong, G. Zhang  - Department of Engineering, Aarhus University, Nordre Ringgade 1, 8000 Aarhus C, Denmark;

E. Sanchis5, F. Estelle5, S. Calvet - Animal Science and Technology, Polytechnic University Valencia, Camino de Vera s/n,46022 V5alencia, Spain

E. Galan, A. del Prado - Basque Centre for Climate Change (BC3), Alameda Urquijo 4, 4o-1a, 48008 Bilbao, Spain

B. Amon - Department of Technology Assessment and Substance Cycles, Leibniz Institute for Agricultural Engineering Potsdam-Bornim e.V. (ATB), Max-Eyth-Allee 100, 14469 Potsdam, Germany;

Large-scale farming of cattle is a hot topic in public discussions related to animal welfare and emissions. Livestock producers are aware of the importance of a good ventilation system for removing excess moisture, heat and pollutants. However, for naturally ventilated buildings the prediction of the air exchange and the resulting microclimate is sophisticated as the indoor environmental parameters depend on the outside temperature and the (Saha et al., 2014). Moreover, suitable measures toconstantly changing wind conditions define ‘optimal microclimate’ are missing (Shoshani and Hetzroni, 2013). In the ERANET+project OptiBarn from Germany, Denmark, Israel and Spain are developing anpartners integrated modelling approach to solve this problem in order to support sustainable, regional and animal-specific adaptation of naturally ventilated dairy barns to climate change (Hempel et al., 2015).