Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bjorn Austbo"'
Publikováno v:
SoftwareX, Vol 24, Iss , Pp 101599- (2023)
This paper introduces ''pymodconn'', a comprehensive python package developed for constructing modular sequence-to-sequence control-oriented deep neural networks. These deep neural networks (DNNs) are designed to predict the future dynamics of comple
Externí odkaz:
https://doaj.org/article/81f729ee58c04567abdb82bbd72a0f6b
Publikováno v:
Energies, Vol 14, Iss 23, p 7861 (2021)
The inevitable nexus between energy use and CO2 emission necessitates the development of sustainable energy systems. The conversion of CO2 to CH4 using green H2 in power-to-gas applications in such energy systems has attracted much interest. In this
Externí odkaz:
https://doaj.org/article/8b167041baa54037a3e1ffd1d6a2b4ab
Publikováno v:
Energies, Vol 14, Iss 16, p 4929 (2021)
A microgrid (MG) is a discrete energy system consisting of an interconnection of distributed energy sources and loads capable of operating in parallel with or independently from the main power grid. The microgrid concept integrated with renewable ene
Externí odkaz:
https://doaj.org/article/432e85094cf5400cb4aa6a990ceddece
Publikováno v:
Chemical Engineering Transactions, Vol 76 (2019)
The present work proposes a methodology for optimization of a liquefied biomethane (LBM) production plant. The LBM production plant comprises amine-based absorption upgrading followed by a single expander refrigeration cycle. The processes were model
Externí odkaz:
https://doaj.org/article/e5a093b8ae244b4b94299ca4c7b0df43
Publikováno v:
Chemical Engineering Transactions, Vol 76 (2019)
A power and biomass to liquid process (PBtL) via Fischer-Tropsch synthesis is exergetically analysed. Synthesis gas is generated through an entrained flow gasifier and extra hydrogen is produced through high temperature steam electrolysis in a solid
Externí odkaz:
https://doaj.org/article/b66a95a3464b4beda5553539e74fc6a6
Publikováno v:
MethodsX, Vol 11, Iss , Pp 102464- (2023)
Applying model-based predictive control in buildings requires a control-oriented model capable of learning how various control actions influence building dynamics, such as indoor air temperature and energy use. However, there is currently a shortage
Externí odkaz:
https://doaj.org/article/554cad0d23e64a7cbe8d257be8828a84
