Offshore wind power grid connection costs - Analysis of social transfer costs for different allocation mechanisms

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1 Offshore wind power grid connection costs - Analysis of social transfer costs for different allocation mechanisms Lukas Weissensteiner, Hans Auer Institute of Power Systems and Energy Economics, Vienna University of Technology Energy Economics Group (EEG) weissensteiner@eeg.tuwien.ac.at Based on a paper presented at 32nd IAEE International Conference San Franciso Extended for an empirical analysis.

2 Contents 1. Motivation 2. Research question 3. Method of approach 4. Long run marginal costs of electricity from wind power 5. Supply and demand curves for wind power production 6. Consumer surplus 7. Transfer costs 8. Criticism 9. Example of UK Round II & II offshore wind farms 10. Results and Conclusions

3 1. Motivation Liberalisation of the electricity sector, unbundling and the deployment of renewable energy sources for electricity generation raise the question where to define the boundary of responsibilities between operators of power plants and operators of grids and whom to attribute corresponding connection costs. have resulted in the European Union to a broad range of interpretations and to accordingly diverging regulations super-shallow / shallow / deep charging

4 1. Motivation Allocation of system integration costs Grid connection Grid reinforcement Balancing Austria Belgium Denmark 1) France Germany 1) Greece Ireland Italy Portugal Spain United Kingdom Cyprus Czech Republic Estonia Hungary Lithuania Malta Poland Bulgaria Source: (visited January 2009), own investigations 1) Costs for connecting offshore wind are borne by the TSO and passed on to the end user.

5 1. Motivation Electricity production from renewable energy sources as (offshore) wind energy is characterised by high specific costs for the connection to distribution and transmission grids. is induced by energy policy and is supported via different promotion instruments. needs to be organised economically efficient in order to save electricity consumers money ( = transfer costs).

6 2. Research question 10 th IAEE European Conference What effects do different approaches of allocation of grid connection costs have on the supply curve for offshore wind power? and: What effects do these changes impose on respective (social) transfer costs and producer surplus?

7 3. Method of approach Comparative analysis of stylised supply curves for electricity production from wind power considering 2 different scenarios for the allocation of grid connection derivation of supply and demand curves producer surplus in 2 scenarios comparison of transfer costs to consumers empirical application Outlook: applying this approach to formalised demand and supply curves including a dynamic perspective

8 4. Long run marginal cost of electricity production from wind power - capital cost life time (depreciation time / investment horizon) full-load hours rate of return investment costs inclusive of grid connection? grid extension / reinforcement? - operational costs maintenance, repair rental of land insurances operation and power sales (including balancing)

9 5a. Supply curve for wind energy FIT1 C1 Supply and demand curve for wind power (inclusive/exlcusive of grid connection) supply curve: stylised LRMC/ market price [!/MWh] FIT2 MP C2 grid connection costs long run marginal costs determined by allocation method of grid connection costs 2 scenarios 1. inclusive of grid connection 2. exclusive of grid connection according to long run marginal costs (including specific investment costs) Energy [MWh] Q high specific grid connection costs: remote resources C1, C2 long run costs of the marginal wind farm deployed, inclusive (1) or exclusive (2) of grid connection costs

10 5b. Demand curve for wind energy LRMC/ market price [!/MWh] FIT1 FIT2 MP C1 C2 Supply and demand curve for wind power (inclusive/exlcusive of grid connection) grid connection costs Demand curve: intersection of a totally inelastic (Q) and a totally elastic demand (FIT) in one point of the supply curve. motivated by renewable energy policy defined / designed according to long run marginal costs long run marginal costs Energy [MWh] Q FIT1, FIT2 feed-in tariff sufficient for the deployment of capacity Q Q1, Q2 quota (corresponding volume reached with FIT1, FIT2) MP market value of wind energy

11 6. surplus of wind power producer C1 surplus of wind farm operators (Allocation 1) surplus of wind farm operators (Allocation 2) C2 LRMC/ market price [!/MWh] MP producer surplus LRMC/ market price [!/MWh] MP grid connection costs long run marginal costs producer surplus long run marginal costs Energy [MWh] Q Energy [MWh] Q C1, C2 long run costs of the marginal wind farm deployed, inclusive of (1) respectively exclusive of (2) grid connection costs

12 7. Transfer costs transfer costs: difference between long run costs of marginal wind farm and the market value (related to the volume Q)

13 7. Transfer costs transfer costs: difference between long run costs of marginal wind farm and the market value (related to the volume Q) + aggregated connection costs of regulated grid operators GC i,reg regulated connection costs of a wind farm to be borne by grid operators Q2 quota (equivalent to the volume deployed via FIT1 / FIT2 ) MP market value of wind energy capacity of a single wind farm q i

14 7. Transfer cost savings 10 th IAEE European Conference Reduction of support costs due to: a decrease of producer surplus, which is underestimated in the depiction for following reasons: different rates of return subadditive costs of wind connection (at least for offshore) TCS Transfer Cost Savings

15 8. Example of UK Round II & II offshore wind farms Supply Curve of Round II&III Offshore Wind Farms Assumptions: Life Time: 20a 140 producer surplus interest rate: 10% O&M&Decommsissioning: 85 k /MW/a 120 distance-dependent capital costs non-distant dependent capital costs: 2,7 m /MW/a 100 distant dependent capital costs: project specific GBP/MWh non-distance-dependent capital costs Load Factor: 0,38 Sources: E&Y (2009) Cost of and financial support for offshore wind 40 dti (2005, 2008): Round II, Round III connection studie 20 own adjustments for cost increases Operation, Maintenance, Decommissioning 0 0 5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000 MW

16 8. Example of UK Round II & II offshore wind farms Assumptions: Capacity of offshore wind deployment: 37,5 GW Wholesale power price: 55 GBP / MWh Result: total transfer costs (connection adds to LRMC): total transfer costs (connection recovered via tariffs): transfer costs for connections: 9,7 bn GBP per year 9,1 bn GBP per year 1,5 bn GBP per year potential transfer cost savings: 0,6 bn GBP per year (~6% or ~ 200 MW additional capacity)

17 9. Criticism Transfer costs are depending on the slope of the supply curve and accordingly the level of producer surplus Revere conclusion in the case of opposing trends of LRMC of production and connection Onshore? Offshore Connection costs determinant surplus is part of welfare surplus results (to a large extent) from an artificial market and subsidisation from a dynamic viewpoint overall deployment will increase (positive effect on producer surplus again)

18 10. Results and conclusions Qualitative assessment of stylised supply and demand curves reveals the following: Allocation of grid connection costs influences the level of producer rent and therefore transfer costs to consumers. Attribution of these costs to grid operators appears indicated, in case LRMC of electricity production from offshore wind are to a large extent determined by grid connection costs. grid connection costs are being remunerated to grid operators on the basis of efficiency criteria. granted rents to grid operators are lower than the returns of wind farm operators. overall savings can be realised through a coordinated planning of connection lines. ( subadditive cost structure ). priority deployment areas are designated for economically favourable potentials (in order to maintain overall efficiency criteria).

19 Thank you for your attention please contact me for further questions Lukas Weissensteiner Energy Economics Group Tel.: Fax: weissensteiner@eeg.tuwien.ac.at Web:

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