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DuPont, CABEE and its Partners Held Seminar on Sustainable Flame Retardants for Energy-efficient Buildings in Shanghai


DuPont, CABEE and its Partners Held Seminar on Sustainable Flame Retardants for Energy-efficient Buildings in Shanghai
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The green and safer-by-design BLUEDGE™ Polymeric Flame-Retardant technology patented by DuPont will be promising as hexabromocyclododecane (HBCD) will be fully banned when a 5-year exemption expires on December 26th, 2021 in China
“Technology innovations like BLUEDGE™ are essential to enabling the transition to sustainability in the built environment, and we’re excited to help lead that transition as we take one more step towards facilitating a global conversion,” said Tim Lacey, DuPont Performance Building Solutions.
SHANGHAI, China (PRWEB)
May 13, 2021
DuPont (NYSE: DD), together with the China Association of Building Energy Efficiency (CABEE) and its partners Lanxess, ICL Industrial Products (ICL-IP), Shandong Sunris New Materials Co., Ltd. (Sunris ....

Tim Lacey , Swan Ecolabel , Environmental Health , Guangzhou Fuda Thermal Insulation Materials Co Ltd , Shandong Sunris New Materials Co Ltd , China Association Of Building Energy Efficiency , Dupont De Nemours Inc , Dupont Performance Building Solutions , Ministry Of Ecology , Dupont Performance Building , China Association , Building Energy Efficiency , Guangzhou Fuda , Sustainable Flame Retardants , Energy Efficient Buildings , White Paper , Polymeric Flame Retardant , Nordic Swan Ecolabel , Dupont Water , Pont Water , Investor Relations , Dupont Oval Logo , Dupont De Nemours , Press Release , நேரம் லேசி , சுற்றுச்சூழல் ஆரோக்கியம் ,

Benchmarking Building Control Systems Thanks to Calibrated Models


Benchmarking Building Control Systems Thanks to Calibrated Models
Sponsored by CSEMJan 19 2021
Buildings play an important role in total energy consumption and worldwide greenhouse gas (GHG) emissions. Smart control strategies are key technological enablers for reducing the GHG footprints of buildings.
3,4 but their simple nature, combined with possible tuning errors, can lead to sub-optimal control behavior.
5 Automatized, efficient building control can significantly reduce energy consumption and emissions.
Research has been done into model predictive control (MPC),
6,7,8,9 adaptive or learning-based MPC
10 and reinforcement learning (RL)
11,12,13 but many of these studies have suffered from the non-standardized evaluation of their control performance.
Energym’s Contribution ....

New York , United States , Perifereia Ionion Nison , Ali Baba , Perifereia Kentrikis Makedonias , Emilia Romagna , M Mohd Radzi , L Canal Casals , B Schubnel Centre Suisse , P Scharnhorst Centre Suisse , International Workshop On Equation , P Taddeo Catalonia Institute For Energy Research , Cf Bandera University Of Navarra , International Modelica Conference , International Conference On Systems For Energy , Switzerlandy Stauffer Centre Suisse , T Gorecki Centre Suisse , International Conference On Control , International Conference , Oklahoma State University , Schneider Electric , Global Alliance For Buildings , J Salom Catalonia Institute For Energy Research , Antonis Peppas National Technical University Of Athens , Alibaba Inc , M Boegli Centre Suisse ,