Auctions for Renewable Energy Support
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1 Auctions for Renewable Energy Support Jan Kreiss Takon GmbH Strommarkttreffen, Rapperswil 14. November 2018
2 Agenda 1. What are Auctions for Renewable Energy Support? Motivation 2. Where are such Auctions implemented and what are the Results? Empirical Evidence 3. Work carried out in the AURES project Scientific Research 4. Outlook on AURES II JAN KREISS - TAKON GMBH 2
3 1. Motivation JAN KREISS - TAKON GMBH 3
4 1. Motivation Different forms of RE support Administratively set feed-in-tarif Certificate of origin / quota regulation Auctions Pros and cons for every instrument EU State Aid Guidelines require member states to use auctions from 2017 Efficiency Cost reduction Controllability JAN KREISS - TAKON GMBH 4
5 1. Motivation Auction process and design options a. Procurement auction b. Price-quantity-bids c. Multi-unit auction with multi-project bidders d. Sequential conduction of auctions (multiple auctions per year) e. Common cost components and uncertainties f. Asymmetric bidders g. Prequalifications required and induce sunk costs h. Possibility of non-realization and penalties JAN KREISS - TAKON GMBH 5
6 1. Motivation Major challenges: Make Energiewende a success Achieve expansion target effectiveness Incentivize innovations and reduce costs efficiency Respect the socio-political restrictions Consider local impacts Legal feasibility JAN KREISS - TAKON GMBH 6
7 2. Empirical Evidence JAN KREISS - TAKON GMBH 7
8 2. Empirical Evidence Source: IRENA (2017) JAN KREISS - TAKON GMBH 8
9 2. Empirical Evidence Preise IRENA Source: IRENA (2017) JAN KREISS - TAKON GMBH 9
10 2. Empirical Evidence PRICE IN CT/KWH 16,00 PRICES IN RE AUCTIONS IN GERMANY 14,00 12,00 10,00 Cross border auction PV DE - DK Demand > Supply => Bids at Max Price Wind OffShore 8,00 PV GEE Biomasse 6,00 Wind OnShore GEMA 4,00 2,00 First Zero Support auction 0, AUCTION DATE JAN KREISS - TAKON GMBH 10
11 2. Empirical Evidence 6,0 PRICES IN PV AUCTIONS IN GERMANY PRICE IN CT/KWH 10,00 5,0 9,00 8,00 4,0 7,00 6,00 3,0 5,00 2,0 4,00 3,00 1,0 2,00 99% 88% 91% 100% 96,31% 0, Realisierungsrate PV Wettbewerb PV 1,00 0,00 AUCTION DATE JAN KREISS - TAKON GMBH 11
12 2. Empirical Evidence 3,5 PRICES IN WIND ONSHORE AUCTIONS IN GERMANY PRICES IN CT/KWH 7 3,0 6 2,5 5 2,0 4 1,5 3 1,0 2 0,5 1 0, Wind Wettbewerb Wind onshore 0 AUCTION DATE JAN KREISS - TAKON GMBH 12
13 2. Empirical Evidence Zero Support Offshore Auction (Apr. 2017) Award Price RES-Support Wholesale Market Price JAN KREISS - TAKON GMBH 13
14 2. Empirical Evidence Zero Support Offshore Auction (Apr. 2017) Previous Offshore Wind Auctions The Netherlands: Borssele 1 & 2; DONG Energy; /MWh The Netherlands: Borssele 3 & 4; Consortium Shell; /MWh Denmark: Kriegers Flak; Vattenfall; /MWh 4 awarded projects with 1490 MW Average award price: 4.40 /MWh Bidder Project Location Volume Award price Realization EnBW He Dreiht North Sea, Cluster MW 0.00 /MWh 2025 DONG OWP West North Sea, Cluster MW 0.00 /MWh 2024 DONG Borkum Riffgrund West 2 North Sea, Cluster MW 0.00 /MWh 2024 DONG Gode Wind 3 North Sea, Cluster MW /MWh 2023 New auctions for Offshore wind mostly without support payments (NL, USA) JAN KREISS - TAKON GMBH 14
15 2. Empirical Evidence Recent trends in RE Auctions: 1. Technology-neutral Auctions Different technologies participate in same auction Goal: Award most efficient projects across all technologies Examples: UK, Spain, Slovenia, Mexico, NL, Germany Challenges: What is neutral and how to achieve it? 2. Cross-border Auctions Auction open to participants from different countries Goal: Award most efficient projects across different countries Examples: DE DK (2016) Challenges: Different legal frameworks in different countries JAN KREISS - TAKON GMBH 15
16 3. Research Project AURES JAN KREISS - TAKON GMBH 16
17 3. Research Project AURES WP 2 Framing and conceptual aspects WP 6 Auctions and alternative implementations WP 3 Auction designs and RES applications WP 4 Empirical aspects WP 7 Future implementation options WP 5 Model-based Analysis DEVELOPMENT OF POLICY PACKAGES WP 8 Policy support toolbox WP 9 Recommendations WP 10 Dissemination and communication platform WP 1 Project Management JAN KREISS - TAKON GMBH 17
18 AURES specific approaches 3. Research Project AURES Theoretical and empirical analysis combined Workshops Interviews with stakeholders Simulation in energy-models Auction experiments Implementations Goals and conditions Comparison with aternative implementations Broader approaches Experiences from other countries Evaluation Lessons learnt from other industries for the assessment of RES-E auctions JAN KREISS - TAKON GMBH 18
19 3. Research Project AURES Static efficiency Dynamic efficiency Effectiveness Support costs AUCTION Legal feasibility Socio-political feasibility Local impacts JAN KREISS - TAKON GMBH 19
20 3. Research Project AURES Auction Designer Reports JAN KREISS - TAKON GMBH 20
21 3. Research Project AURES Takon in AURES 1. Haufe, M.-C. and Ehrhart, K.-M. (2018): Auctions for Renewable Energy Support - Suitability, Design, and First Lessons Learned, Energy Policy, Vol. 121, October 2018, , DOI: /j.enpol Design options and evaluation for auctions for RE support 2. Kreiss, J., Ehrhart, K.-M. and Haufe, M.-C. (2017): Appropriate Design of Auctions for Renewable Energy Support - Prequalifications and Penalties, Energy Policy, Vol. 101, February 2017, , DOI: /j.enpol Implications of prequalifications and penalties on the auction outcome Theoretical guidance on how to design auction for renewable energy support. JAN KREISS - TAKON GMBH 21
22 3. Research Project AURES Key Insights: Different auction formats perform equally well regarding expected auction revenue (i.e. support costs) and allocative efficiency in theory, even if the optimal bidding behaviour differs in the particular auctions. However, there is certain ambiguity of auction formats under changing market conditions. Hence, a profound market analysis is necessary before the implementation of auctions in order to find potential chances and risks with regard to relevant auction formats. Examples from other industries are only partly comparable, thus lessons are not directly transferrable Non-realization risk identified as a major risk for RES-E auctions JAN KREISS - TAKON GMBH 22
23 3. Research Project AURES Key Insights: The possibility not to realize decreases prices. Bidders incorporate this option in their bids. Non-realization probability depends on degree of uncertainty and (negative) consequences in case of non-realization. Auction design option Desired effects Undesired effects Financial prequalification higher expected realization probability higher expected support level Physical prequalification additive to financial prequalification reduced cost uncertainty higher expected realization probability sunk costs reduced competition level higher expected support level Penalties additive to financial prequalification Penalties substitutive to monetary equivalent financial prequalification Second-price auction compared to first-price auction higher expected realization probability higher expected support level potentially inefficient lower expected support level lower expected realization probability potentially sunk costs lower expected support level lower expected realization probability JAN KREISS - TAKON GMBH 23
24 3. Research Project AURES Takon in AURES 3. Ehrhart, K.-M., Haufe, M.-C. and Kreiss, J. (2018): Discrimination in Auctions for Renewable Energy Support: Three Theoretically Equivalent but Practically Different Concepts - Design options and evaluation for auctions for RE support 4. Kreiss, J., Ehrhart, K.-M., Haufe, M.-C. and Rosenlund Soysal, E. (2018): Different cost perspectives for renewable energy support: Assessment of technologyneutral and discriminatory auctions Theoretical analyses of discriminatory instruments in auctions with asymmetric bidders In particular focus on auctions for renewable energy support Practical relevance for either technology-neutral or cross-border auctions JAN KREISS - TAKON GMBH 24
25 3. Research Project AURES Key Insights: Political conflict: Minimum aid and non-discriminatory Auctioneer can increase value of Renewable Energy (and hence reduce support costs) through discriminatory auctions. Auctioneer can reduce overall costs (support costs) through discriminatory auctions. A quota, a bonus and a maximum price can be equivalent regarding the auction outcome if certain conditions are satisfied. JAN KREISS - TAKON GMBH 25
26 3. Research Project AURES Takon in AURES 5. Experimental and theoretical analysis on multiunit common value procurement auctions and the winner s curse RE sources have high common cost component (PV module prices, wind turbines, spot market price, ) With common costs and high uncertainties regarding future developments there is a high risk of the winner s curse Experimental analysis suggests higher probability of winner s curse than theoretically predicted JAN KREISS - TAKON GMBH 26
27 4. Outlook AURES II JAN KREISS - TAKON GMBH 27
28 4. Outlook AURES II Horizon 2020 research project started 01/11/18 Project Overview 1. Database / Monitoring 2. Effects of auctions on RES sector 3. Impact on Cost of Capital (DiaCore) 4. International auctions 5. Future of Auctions 6. Modelling JAN KREISS - TAKON GMBH 28
29 4. Outlook AURES II Takon share 1. Database Which information are important for database Empirical analyses how design and framework parameters influence the auction outcome 2. Further theoretical analyses on auction design 3. Experimental analysis of auctions with asymmetric bidders Add insights to what happens in technology-neutral and cross-border auctions Which design parameters are important to achieve successful outcome JAN KREISS - TAKON GMBH 29
30 Thank you for your attention. Jan Kreiß Vasilios Anatolitis Project coordinator Fraunhofer ISI
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