Promotion systems for electricity from renewable energy sources Lessons learned from EU countries. Reinhard Haas. Vienna University of Technology

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Promotion systems for electricity from renewable energy sources Lessons learned from EU countries Reinhard Haas Vienna University of Technology 1

SURVEY 1. Introduction 2. Historical developments 3. Success of strategies 4. The success story of PV 5. Effects on electricity markets 6. Conclusions 2

1 INTRODUCTION CORE MOTIVATION: Policy targets for an INCREASE of RES-E! e.g. 2020/20/20/20 targets RES-E directive: increase share of RES-E from 12% 1997 to 22% in 2010) 3

Electricity generation [TWh/a] 600 500 400 RES-E EU-27 1997: 12% 2. HISTORY 2009: 17% 300 200 100 0 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 Large-scale hydro Small-scale hydro 'New' RES-E excl. hydro 4

Stromerzeugung [TWh/a] ELECTRICITY GENERATION FROM NEW RENEWABLES 250 IN EUROPE 200 150 100 Geothermie Photovoltaik Biomüll Biogas Biomasse (fest) Wind (Offshore) Wind (Onshore) 2009: 7 % 50 0 1990 1991 1997: 1 % 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 5

REMARK ON RES DEPLOYMENT IN THE EU-COUNTRIES Since about 1997 triggered by EUdirectives and EU initiatives Yet, specific country success stories very strongly related to national policies design! 6

3. SUCCESS OF STRATEGIES 7

Costs (EUR/ kw) (=efficiency) SUCCESS CRITERIA FOR STRATEGIES Major objectives: MW /Number of plants (=effectiveness) increase the amount of electricity from renewables and reduce costs! 8

Value of certificate (c/kwh) PRICES OF CERTIFICATES 14 12 Italy, UK; Belgium: Continuous high level! 10 8 6 4 Sweden: Shortage in banked certificates! 2 0 2002 2003 2004 2005 2006 2007 2008 2009 2010 Sweden UK Belgium (average) Italy Poland Romania 10

cent/kwh LEVEL OF FEED-IN TARIFFS 9 8 7 6 5 4 3 2 AT DE ES 1 0 2002 2003 2004 2005 2006 2007 2008 2009 2010 11

Value of certificate (c/kwh) cent/kwh 14 TRADABLE CERTIFICATES SUPPORT LEVELS: COMPARISON 14 FEED-IN TARIFFS 12 12 10 10 8 8 6 6 4 4 AT DE ES 2 2 0 2002 2003 2004 2005 2006 2007 2008 2009 2010 Sw eden UK Belgium (average) Italy Poland Romania 0 2002 2003 2004 2005 2006 2007 2008 2009 2010 12

EFFECTIVENESS VS COSTS 13

METHOD OF APPROACH: STATIC COST RESOURCE CURVES EUR/ kwh Predicted e.g small Hydro Uncertainty e. g. Wind e.g. biomass cofiring more expensive capacities cheapest capacities kwh 14

HOW FEED-IN TARIFFS WORK EURO/ kwh Costs P Fix kwh Q Out? 15

Total costs for customers EURO/ kwh (PREMIUM) FEED-IN TARIFFS Total costs = Producer surplus C + Additional generation costs P FIT_C P FIT_B P FIT_A A B Cost curve Market price Target kwh 16

HOW QUOTA-BASED TRADABLE G O - CERTIFICATES WORK EURO/ kwh Costs P Zert? kwh QUOTA 17

EURO/ kwh Total costs for customers TRADABLE G O CERTIFICATES Total costs = Producer surplus C + Additional generation costs P CERT B A Cost curve Market price Target kwh 18

TRADABLE GREEN CERTIFICATES EURO/ kwh Producer surplus Extra generation costs risk premium!!! Market price Minimal Monetary generation costs kwh Total costs Quota/ Target 19

Generation Cost [ /MWh ele ] 160 140 120 100 THE SHAPE OF THE COST CURVE E U - 27 Producer surplus Marginal cost for RES-E Producer Surplus Cost-resource curve (RES-E in the EU27) Additional generation costs 80 60 40 20 0 Total Electricity market price Power price Required RES-E deployment Required RES-E deployment 0 200 400 600 800 1000 costs Additional (up to 2020) realisable potential for RES-E [TWh] 20

THE CASE OF SWEDEN 21

CONCLUSIONS (1) To ensure significant RES-E deployment in the long-term, it is essential to promote a broad portfolio of different technologies IMPROVE/OPTIMIZE THE CURRENT SYSTEMS A well-designed FIT provides RES-E-deployment fastest and at lowest costs; BEFORE HARMONISING Strategies with lower (financial) risk -> less profit requirements -> lower costs for society. OR IMPLEMENTING MAJOR CHANGES! A European- wide trading system would lead to a much higher burden for European citizens than a comparable FIT for meeting the 2020/20%RES target! 22

4. THE SUCCESS STORY OF PHOTOVOLTAIC DEPLOYMENT (IN GERMANY) 23

PV increases in recent years in Europe Germany Spain Czech Republic Italy 24

25 Source: EPIA (2012) Total installed capacity 2011: 27.7 GW (compared to 16.6 GW in 2010)

Costs of and FIT for PV Costs FIT Germany 26

PV: cumulative development in Central Europe In Germany in 2011/2012: PV contributes at peak production times to about 25% of load! 27

Installierte Leistung (MW) SINCE 2000: INVESTMENTS MAINLY IN RENEWABLES! 200000 180000 160000 140000 120000 PV WIND 2020: ca. 25000 MW PV 100000 80000 60000 40000 20000 0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Thermisch Atomkraft Wassser Wind PV 28

5. EFFECTS OF PROMOTING RES-E ON ELECTRICITY MARKETS 29

Costs (EUR/MWh) LONG-TERM MARGINAL COSTS Cheapest: 1. 2. 3. Nat. Gas Nuclear Wind 30 Capital costs Operation/Fuel costs CO2 costs

Costs (EUR/MWh) SHORT-TERM MARGINAL COSTS Cheapest: 3. 2. 1. Nat. gas Nuclear Wind Operation/Fuel costs CO2 costs 31

Long-term vs shortterm marginal costs 32

Costs,Price (EUR/MWh) ON-PEAK NICE SUMMER DAY: PRICE = SHORT-TERM MARGINAL COSTS Demand D t e.g. Coal old What happens, if PV capacity will double? e.g. Natural gas new p t2 Price = System -marginal costs Nuclear Supply curve PV Wind Hydro 35 MW

IMPACT OF PV ON THE ELECTRICITY MARKET PRICE IN GERMANY Photovoltaics On-peak time: Low electricity prices! Spot market price electricity Germany 36

RES Production > Demand Supply and Demand Electricity price = high! Demand RES Production < Demand Electricity price = 0 (or negative) 37

PV costs vs household electricity price in Germany Upper and lower corridor! Grid parity? 38

[c/kwh] Share on household electricity prices Electricity prices of households Capital costs Operation& Labour costs Fuel costs Profits of companies 1983 2006 39

Structure household electricity prices Fuel costs decrease Capital costs increase 40

[c/kwh] Share on household electricity prices Electricity prices of households Non-regulated share Regulated share 1983 2006 2030 41

6. Conclusions (i) well-designed (dynamic) Feed-in tariff certain deployment of PV fastest and at lowest costs for society correct dynamic design! (ii) Overheating destroyed other markets (Czech Republic, Spain, Italy(?) ); (iii) Looming grid-parity for PV? change to investment subsidies? (v) New market design will emerge (vi) New pricing mechanisms for end users (vii) Regulated share on electricity prices will increase 42

INTERESTED IN FURTHER INFORMATION? Download reports from: www. eeg. tuwien. ac. at E-Mail to: Reinhard.Haas @ tuwien. ac.at 43

THE CASE OF SWEDEN Major characteristics: * since 2002: quota-based system of Tradable Certificates * also old capacity allowed to fulfill quota * additional investment subs. for wind! 44

[cent/kwh] SWEDEN: IMPACT OF INVESTMENT SUBSIDIES P cert_th Wind Loc. A Costs (Supply curve) Wind Loc. B Invest. Subsidies for wind cert_act Biomass Quota [GWh/year] 45

PRICES OF CERTIFICATES IN SWEDEN 46

Costs of PV in next years (EUR/kWp) 7000 6000 5000 4000 3000 Increased competition due to modules from China Market clearing 2000 1000 Over capacities 0 2000 2002 2004 2006 2008 2010 2012 47