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DTSTART:20240331T030000
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DTSTAMP:20240309T163057Z
UID:7C9006A8-160A-42CA-8CA5-9FA91120F2F2
DTSTART;TZID=Europe/Copenhagen:20240306T130000
DTEND;TZID=Europe/Copenhagen:20240306T160000
DESCRIPTION:The world must shift from fossil fuels to renewable energies to
  combat climate change. Wind turbines and photovoltaic cells can generate 
 renewable electricity from wind and solar energy. Electrolyzers can produc
 e hydrogen from renewable electricity to substitute natural gas. Hydrogen 
 is envisioned to play a major role in decarbonizing the gas sector. Some g
 overnments consider building electrolyzers on\nartificial islands - so-cal
 led energy islands - to produce hydrogen using offshore wind power out on 
 the sea.\n\nAs the available wind and solar power potential varies over ti
 me\, technologies providing flexibility to compensate for those fluctuatio
 ns are needed. When there is excess renewable electricity\, electrolyzers 
 can produce hydrogen. If there is a renewable electricity shortage\, gas-f
 ired power plants can quickly adjust their power production. To be able to
  do that\, the gas network must provide them with sufficient gas.\n\nNonli
 near physics characterizes electrolyzers and gas flows in the pipelines. C
 apturing this nonlinearity in models is essential to ensure that the model
  results coincide with the physical behavior in practice. Depending on the
  application\, the modeler should consider a different degree of technical
  and physical detail. This thesis identifies three modeling levels: compon
 ent\, system\, and policy. One research direction is pursued on each level
 \, leading to substantial scientific contributions. On the component level
 \, this thesis proposes a new model to capture the nonlinear\nrelationship
  between the power consumption and the hydrogen production of the electrol
 yzer. A new framework for modeling gas flow physics is proposed on the sys
 tem level\, generalizing and enabling a comparison of various existing app
 roaches in the literature. Additionally\, the model results show that cons
 idering gas flow directions variable increases the flexibility of the gas 
 network. On the policy level\, an electricity market model is used to deri
 ve recommendations that may enhance the flexibility of electrolyzers on en
 ergy islands.\n\nThe proposed modeling approaches and policy recommendatio
 ns can support the integration of electrolyzers and gas networks with powe
 r systems. The integration contributes to the flexibility potential needed
  to accommodate massively increasing electricity generation from wind and 
 solar energy.\n\nSpeaker(s): Yannick Werner \n\nVirtual: https://events.vt
 ools.ieee.org/m/409537
LOCATION:Virtual: https://events.vtools.ieee.org/m/409537
ORGANIZER:tweck@dtu.dk
SEQUENCE:2
SUMMARY:PhD defense - Yannik Werner - Modeling Electrolyzers and Gas Networ
 ks for Integration with Power Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/409537
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The world must shift from fossil fuels to 
 renewable energies to combat climate change. Wind turbines and photovoltai
 c cells can generate renewable electricity from wind and solar energy. Ele
 ctrolyzers can produce hydrogen from renewable electricity to substitute n
 atural gas. Hydrogen is envisioned to play a major role in decarbonizing t
 he gas sector. Some governments consider building electrolyzers on&lt;br&gt;arti
 ficial islands - so-called energy islands - to produce hydrogen using offs
 hore wind power out on the sea.&lt;/p&gt;\n&lt;p&gt;As the available wind and solar po
 wer potential varies over time\, technologies providing flexibility to com
 pensate for those fluctuations are needed. When there is excess renewable 
 electricity\, electrolyzers can produce hydrogen. If there is a renewable 
 electricity shortage\, gas-fired power plants can quickly adjust their pow
 er production. To be able to do that\, the gas network must provide them w
 ith sufficient gas.&lt;/p&gt;\n&lt;p&gt;Nonlinear physics characterizes electrolyzers 
 and gas flows in the pipelines. Capturing this nonlinearity in models is e
 ssential to ensure that the model results coincide with the physical behav
 ior in practice. Depending on the application\, the modeler should conside
 r a different degree of technical and physical detail. This thesis identif
 ies three modeling levels: component\, system\, and policy. One research d
 irection is pursued on each level\, leading to substantial scientific cont
 ributions. On the component level\, this thesis proposes a new model to ca
 pture the nonlinear&lt;br&gt;relationship between the power consumption and the 
 hydrogen production of the electrolyzer. A new framework for modeling gas 
 flow physics is proposed on the system level\, generalizing and enabling a
  comparison of various existing approaches in the literature. Additionally
 \, the model results show that considering gas flow directions variable in
 creases the flexibility of the gas network. On the policy level\, an elect
 ricity market model is used to derive recommendations that may enhance the
  flexibility of electrolyzers on energy islands.&lt;/p&gt;\n&lt;p&gt;The proposed mode
 ling approaches and policy recommendations can support the integration of 
 electrolyzers and gas networks with power systems. The integration contrib
 utes to the flexibility potential needed to accommodate massively increasi
 ng electricity generation from wind and solar energy.&lt;/p&gt;
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