Session 5 Flashcards
Why is power/electricity a commodity & what are consequences?
- grid bound
- > trades happen via injecting to and extracting from grid
- > electricity flows follow physics, not buyers & sellers locations on grid
- not economically & large scale storable
- > trades have to balance in real time if benefits from trade shall be exploited, injections & extractions have to occur simultaneously
- > when injection does not match extractions system is in stress
–> real time trades have to be managed by central entity possessing all relevant information
What is the institutional setup for the power market?
System Operator: manages grid in real time, balances supply and demand on real time spot market
Power Exchanges: provide trading plattform before SO takes over, hand over trading positions & info to SO
Supply: generating companies, decentralized
Demand: local, final consumers, retailers that market to final consumers
What models for energy trading exist?
- bilateral trading
- involves two parties
- directly bargained (short or longterm)
- alternatively, trading via exchange
- pool
- anonymous trading
- market solves via auction
- both require spot balancing market run by SO
- US pool, EU bilateral
How does trading on the EEX work?
- pool trading at day-ahead time
- continuous trading opens during delivery day & stops 30 mins before delivery
- EEX informs network operators on scheduled trades
What is merit order?
- Supply curve (aggregated supply bids in pool).
- Intersection with demand constitutes market price.
- Depending on demand level, different tech is running (Baseload: high fixed cost, low variable cost; Peaker: low fixed cost, high variable cost)
- bids submitted to market based on marginal cost
- merit order effect: investment in low-marginal cost tech pushes higher cost tech out of market
What is a screening curve?
- plots fixed + variable costs
- x axis: capacity factor = duration where tech is used (max 1)
How do we get from Screening Curves to Investment into different energy generation operations?
Example:
Baseload (fixed cost 12$/MWh, variable 18$/MWh)
Peaker (f6, 30)
Demand uniformly distributed between 4 & 8 GW
- Screening Curves -> proportions of different techs
- demand & capacity -> cap
- load duration curve (duration at which demand at or above certain value minus possible cap) -> show distribution of baseload & peakers
- determine cap value
- fixed costs peaker = profit during price spike ((cap price - variable costs) * time demand is rationed)
- cap = upper demand border - lower demand border * time demand is rationed
How to determine profit of baseload tech?
- Baseload has positive margin during time when peakers run & therefore set the price
- earnings = (variable cost peaker - variable cost baseload) * relative time peakers run + profit during rationing (= fixed costs peaker)
The merit-order effect crowds out conventional energy sources due to cheaper renewables, how can we guarantee scarcity rent?
- allow for very high prices in limited number of hours where renewable generation is low
- maintain low prices, but pay conventional sources for being online