A fast and effective method for modelling and optimizing district heating systems in the Modelica language Haoran Li*a, Juan Houa, Natasa Norda aDepartment of Energy
Natural and Mechanical Ventilation Concepts for Indoor Comfort and Well-Being with a Sustainable Design Perspective: A Systematic Review by Luca Zaniboni 1,2,* and Rossano Albatici 1 1Department of Civil,
Ten questions concerning energy flexibility in buildings Rongling Li a, Andrew J. Satchwell b, Donal Finn cd, Toke Haunstrup Christensen e, Michaël Kummert f, Jérôme Le Dréau g, Rui Amaral Lopes hi, Henrik Madsen jk, Jaume Salom l, Gregor Henze mno, Kim Wittchen e aDepartment of Civil and Mechanical Engineering, Technical University of Denmark, Brovej Building 118,
A fast and effective method for modelling and optimizing district heating systems in the Modelica language Haoran Li*a, Juan Houa, Natasa Norda aDepartment of Energy
Natural and Mechanical Ventilation Concepts for Indoor Comfort and Well-Being with a Sustainable Design Perspective: A Systematic Review by Luca Zaniboni 1,2,* and Rossano Albatici 1 1Department of Civil,
Ten questions concerning energy flexibility in buildings Rongling Li a, Andrew J. Satchwell b, Donal Finn cd, Toke Haunstrup Christensen e, Michaël Kummert f, Jérôme Le Dréau g, Rui Amaral Lopes hi, Henrik Madsen jk, Jaume Salom l, Gregor Henze mno, Kim Wittchen e aDepartment of Civil and Mechanical Engineering, Technical University of Denmark, Brovej Building 118,
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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 101036723
Want to know more about the new generation of climate positive circular communities (CPCC)? Sign up to our bi-annual newsletter (no spam guaranteed)!
Want to know more about the new generation of climate positive circular communities (CPCC)? Sign up to our bi-annual newsletter (no spam guaranteed)!
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 101036723
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 101036723
