Uniper develops two new solar projects in Tamworth and Totmonslow. The two projects will be capable of powering around 23,000 homes per year with renewable electricity. #SolarPanelUK#SolarPowerUK#Renewables
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Episode 07: Watt's Next? The Journey of Power Production in the EU Electricity Market
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The local market had to supply the imbalance, who are allowed to respond the TSO, just in 5 minutes.
Was there a lack of flexibility in the German market?
There were available flexible sources at that period, but without any contract with the TSO. 2/2
German intraday power market faced the crazy price at 9,999 €/MWh. The reason?
The TSO forecasted of 28 GWh/h of solar generation, but that was a lack of 8 GWh/h (= 20 GWh/h), and French export capacity to Germany was limited to 3 GW at that period. 1/2
About uncertainty modelling:
Do you know the time horizon for local P2P energy trading:
30 min to 5 min!
Uncertain sources: your residential rooftop pv generation and demand in next 5 min/30 min.
So there is no uncertainty!!!
The big GAP between fantasy research and reality!!!
That it can be installed next to the smart meter system. So imagine this system, are you still thinking about ADMM? The problem in decentrslized inherently!
Next...
That it can be installed next to the smart meter system. So imagine this system, are you still thinking about ADMM? The problem in decentrslized inherently!
Next...
We are talking P2P in the local community, so the decision maker is simple prosumers, e.g. one single home who does not have any information about the community, grid, etc. How can the decision making problem be solved? Inside the energy management system of that home. Next...
We are talking P2P in the local community, so the decision maker is simple prosumers, e.g. one single home who does not have any information about the community, grid, etc. How can the decision making problem be solved? Inside the energy management system of that home. Next...
I am surprised that I still see the submitted papers regarding P2P local energy trading models which presented ADMM and uncertainty modelling and are even accepted! For me, it means that academic society does not have precise feeling about P2P models in local energy communities.
I am surprised that I still see the submitted papers regarding P2P local energy trading models which presented ADMM and uncertainty modelling and are even accepted! For me, it means that academic society does not have precise feeling about P2P models in local energy communities.
Electricity market lovers/modellers: can you share your suggested readable books, papers with simple examples/codes for hedging approaches in future electricity markets?
#hedging#electricity_markets
I would say that reaching 1000 citations has never been a milestone in my professional journey. However, nice reminder/demonstration of Google gave a good vibe.
#citation#1k
We are facing the situation that number of papers with title of review of P2P tradings are more than papers with real original novel P2P market design. Noted that such a paper with optimization technics, eg ADMM etc for math problem is not considered as a novel market design...
🆕Fresh from the studio, Uniper's Market Insights for April is here! Oil Market Bullishness and Geopolitical Influences are on the agenda this month. Listen directly in your favourite podcast app.🎧
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#Energymarket
📰Our long-term contract with Deutsche Bahn for clean hydropower marks another step in our commitment to decarbonization.
Read more in our Press Release: https://t.co/CR0Qew6Zof
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@A95Shukri@uniper_energy Not at all! I am saying the direction of academic papers should be changed to address gaps which are realistic in electricity markets.
After 7 months staying in power portfolio stratrgy & optimization @uniper_energy, I just figured out that most of academic papers regarding electricity market modelling are just fantasy and are not practical in the real case.I may write a post about it in the near future...
Immediate postdoc or research assistant position in our section at DTU on data-driven optimization for bidding strategy in flexibility markets: We look for someone with decent optimization background who is comfortable with data and expert in programming (Python or Julia).