Achieving)50)percent)renewable) electricityinCalifornia:) … · 2019-10-10 ·...

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Achieving 50 percent renewable electricity in California: The role of nonfossil flexibility in a cleaner electricity grid Jimmy Nelson, Ph.D. Energy Modeler [email protected] Laura Wisland Senior Energy Analyst [email protected] August 2015

Transcript of Achieving)50)percent)renewable) electricityinCalifornia:) … · 2019-10-10 ·...

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Achieving  50  percent  renewable  electricity  in  California:  

The  role  of  non-­‐fossil  flexibility  in  a  cleaner  electricity  grid  

Jimmy  Nelson,  Ph.D.  Energy  Modeler  

[email protected]  

Laura  Wisland  Senior  Energy  Analyst  [email protected]  

August  2015  

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Full  report  available  at:      www.ucsusa.org/California50RPSanalysis  

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“Curtailment  is  a  reducOon  in  the  output  of  a  generator  from  what  it  could  otherwise  produce  

given  available  resources”  

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•  Curtailment  is  a  default  opOon  for  maintaining  reliability  when  an  electricity  grid  relies  more  heavily  on  renewable  sources  of  power  

•  Curtailment  can  be  expensive  because  most  renewables  have  low  or  zero  marginal  cost  

•  In  limited  quanOOes,  curtailment  can  make  important  contribuOons  to  grid  operaOonal  flexibility,  reducing  the  need  to  make  other  investments  in  flexibility  

Source:  Bird,  L.,  J.  Cochran,  and  X.  Wang.  2014.  Wind  and  solar  energy  curtailment:  Experience  and  pracOces  in  the  United  States.  Golden,  CO:  NaOonal  Renewable  Energy  Laboratory.  NREL/TP-­‐6A20-­‐60983.  Online  at  hcp://www.nrel.gov/docs/fy14osO/60983.pdf.  

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Avoid coincident gas generation and renewable

curtailment

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The  UCS  “Duck  Chart”  

5  Fact  Sheet:  Renewables  and  Reliability,  Union  of  Concerned  ScienOsts,  March  2015.  Available  at:  hcp://www.ucsusa.org/sites/default/files/acach/2015/03/california-­‐renewables-­‐and-­‐reliability.pdf      

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It  would  be  very  difficult  to  meet  long-­‐term  climate  goals  

if  gas  is  online  when  renewables  are  being  

curtailed  

Williams,  J.H.,  et  al.,  2012.  The  technology  path  to  deep  greenhouse  gas  emissions  cuts  by  2050:  the  pivotal  role  of  electricity.  Science  335,  2012,  53-­‐59.   6  

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Modeling  

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Acknowledgements  

•  Ryan  Jones,  Arne  Olson,  and  Energy  and  Environmental  Economics  (E3)  •  Hourly  renewable,  reserve,  outage,  

and  demand  data  •  ProducOon  cost  model  framework  •  Discussions  

•  UCS  for  support,  fellowship,  and  discussions  

•  NREL  for  discussions  

•  Energy  Exemplar  /  PLEXOS  for  sojware  support  

•  Report  reviewers  8  

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•  Renewables  Porkolio  Standard  (RPS)  target:  •  33%,  40%,  50%  

•  Geographic  scope:  the  California  Independent  System  Operator  (CAISO)  footprint  •  ~80%  of  California  

•  Timeframe:  2024  •  Economy-­‐wide  decarbonizaOon  might  necessitate  very  

quick  renewable  deployment  •  Results  relevant  to  2030  50%  RPS  policy  discussion  

 •  Modeling  tool:  PLEXOS  producOon  cost  model  

•  Focuses  on  electricity  operaOons  •  NOT  an  investment  model  

Scope  of  analysis  

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What  our  analysis  does  and  does  not  address  Our  analysis  does:   Our  analysis  does  not:  

Focus  on  the  year  2024   Simulate  years  other  than  2024  

Use  industry  standard  sojware  to  simulate  the  CAISO  electricity  system  

Simulate  other  sectors  of  the  economy  

Include  electricity  demand  from  2  million  electric  vehicles  within  the  CAISO  footprint  

Determine  an  opOmal  amount  of  vehicle  electrificaOon  

Include  a  diverse  porkolio  of  renewables   OpOmize  a  porkolio  of  renewables  or  focus  on  a  single  renewable  technology  

Simulate  detailed  grid  operaOons  and  constraints  on  generators  and  resources  inside  the  CAISO  footprint  

Simulate  detailed  grid  operaOons  and  constraints  on  generators  and  resources  outside  the  CAISO  footprint  

Include  generaOon  requirements  in  specific  regions  inside  the  CAISO  footprint  

Model  transmission  constraints  inside  the  CAISO  footprint  

Explore  a  variety  of  ways  to  reduce  renewable  curtailment  

Find  an  opOmal  amount  of  renewable  curtailment  or  grid  flexibility  

QuanOfy  renewable  curtailment,  producOon  costs,  and  GHG  emissions  from  electricity  producOon  

QuanOfy  capital  and  fixed  costs  of  renewable  generators  or  addiOonal  grid  flexibility  

QuanOfy  shorkalls  in  generaOon  capacity  and  reserves  

Perform  an  analysis  of  system  capacity  need  or  loss  of  load  expectaOon  

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A  diverse  porkolio  of  renewables  is  simulated  

•  Heavily  weighted  towards  in-­‐state  renewables  •  Behind-­‐the-­‐meter  photovoltaics  (PV)  don’t  directly  count  

towards  RPS   11  

0  

20  

40  

60  

80  

100  

120  

33%  RPS   40%  RPS   50%  RPS  

Electricity

 Produ

c>on

 (TWh/Yr)   PV  Behind-­‐the-­‐Meter  

PV  Large  Out-­‐of-­‐State  PV  Large  In-­‐State  Solar  Thermal  Wind  Out-­‐of-­‐State  Wind  In-­‐State  Small  Hydroelectric  Biogas  Biomass  Geothermal  

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As  the  RPS  is  increased…    

[without  addiOonal  operaOonal  flexibility]  

GHG  Emissions  

12  

0  

10  

20  

30  

40  

50  

60  

33   40   50  RPS  Target  (%)  

CO2  E

mission

s  (MMTC

O2/Yr)  

Note:  producOon  costs  do  not  include  capital  and  maintenance  costs,  and  are  therefore  only  one  important  part  of  the  total  electricity  cost    

ProducOon  Costs  

0  1  2  3  4  5  6  7  

33   40   50  RPS  Target  (%)  

Prod

uc>o

n  Co

sts  ($B

/Yr)  

Renewable  Curtailment  

4.8  

0  

1  

2  

3  

4  

5  

6  

33   40   50  

RPS  Target  (%)  

%  Curtailm

ent  

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OperaOonal  constraints  keep  gas  online  during  hours  that  experience  renewable  curtailment  

0   2   4   6   8   10   12   14   16   18   20   22  -­‐20  -­‐15  -­‐10  -­‐5  0  5  10  15  20  25  30  35  

Gen

era>

on  (G

Wh)  

Hour  of  Day  

Example  day  depicted  here  is  a  near  worst-­‐case  weekend  day  in  May  

Renewable  Storage  Supply  Exports  Gas  Peaker  Gas  Combined  Cycle  Hydroelectric  Combined  Heat  and  Power  Nuclear  

Adjusted  Input  

Supply  

Demand  

Renewable  Curtailment  Storage  Demand  Exports  

Downward  Balancing  

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Coincident  gas  generaOon  and  renewable  curtailment  

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Renewables  can  provide  some  electricity  during  Omes  of  greatest  need  for  system  capacity  

14  

0  

0.5  

1  

1.5  

2  

2.5  

3  

3.5  14  

15  

16  

17  

18  

19  

15  

16  

17  

18  

19  

15  

16  

17  

18  

19  

16  

17  

18  

19  

16  

17  

17  

18  

19  

17  

17  

18  

Reserve  ShorPall  (GW)   33%  RPS   40%  RPS   50%  

RPS  Base  

Hour  of  Day  

•  However,  even  at  a  50  percent  RPS,  renewables  cannot  produce  enough  power  to  ensure  a  reliable  electricity  system  during  some  peak  periods,  resulOng  in  reserve  shorkalls  

•  Our  study  suggests  that  the  projected  2024  CAISO  fleet  of  natural  gas  power  plants  will  be  important  in  ensuring  that  the  grid  has  enough  capacity  to  meet  demand  during  peak  periods  

Non-­‐Spinning  Load  Following  Up  

July   July  Sept   Sept   Sept  

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Reliability  requirements  cause  renewable  curtailment  

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4.8  

1.5  1.0  

0  

1  

2  

3  

4  

5  

6  

50%  RPS   Remove  Downward  Reserves  

Remove  Downward  Reserves  and  Regional  

GeneraOon  Requirements  

Curtailm

ent  (%)    

50%  RPS  Base  

EssenOal  reliability  services  needed  in  grid  operaOons    

[But  some  reliability  requirements  cause  curtailment  at  a  50%  RPS]  

Load  Following  and  Regula>on  

DOWN  

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Load  following  bridges  between  hourly  and  five  minute  schedules  

17  

Load following up

Five-minute schedule

Load following down

Hourly schedule

Five minutes

Net

dem

and

(MW

)

One hour

Figure  based  on:  Makarov,  Y.  V.,  et  al.,  2009.  OperaOonal  Impacts  of  Wind  GeneraOon  on  California  Power  Systems.  

IEEE  Transac/ons  on  Power  Systems  24  (2),  2009,  1039-­‐1050.  

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RegulaOon  bridges  between  five  minute  schedules  and  actual  generaOon  

18  

One hour

Five minutes

Regulation up

Five-minute schedule

Actual generation Regulation down

Net

dem

and

(MW

)

Figure  based  on:  Makarov,  Y.  V.,  et  al.,  2009.  OperaOonal  Impacts  of  Wind  GeneraOon  on  California  Power  Systems.  

IEEE  Transac/ons  on  Power  Systems  24  (2),  2009,  1039-­‐1050.  

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Regional  generaOon  requirements  are  a  proxy  for  many  essenOal  reliability  services    

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²  voltage  support  and  reacOve  power  ²  inerOa  and  primary  frequency  response/governor  response  ²  local  and  system-­‐wide  requirements  for  operaOng  reserves  ²  transmission  congesOon  ²  transmission  conOngencies  

Grid  planners  and  operators  should  encourage  non-­‐fossil  resources  (including  renewable  generators)  to  provide  essenOal  reliability  services  

These  reliability  consideraOons  could  cause  coincident  renewable  curtailment  and  gas  generaOon:  

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Increasing  operaOonal  flexibility  at  a  50%  RPS:  

What  works  and  what  doesn’t  

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[3]  Add  non-­‐generaOon  flexibility:  Storage  

Advanced  Demand  Response  Exports  

[2]  Increase  natural  gas  power  plant  

fleet  flexibility      

[1]  Operate  renewables  more  flexibly  

We  modeled  three  different  flexibility  strategies  

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Strategy [1]: Operating renewables flexibly is particularly effective

0  1  2  3  4  5  6  

50%  RPS   Renewables  Provide  Reserves  

Curtailm

ent  (%)    

Hourly  Curtailment  

Sub-­‐Hourly  Curtailment  

4.8  

2.7  

50%  RPS  Base  

•  Curtailment:  nimble  is  much  becer  than  blocky  •  Renewables  should  be  incenOvized  to  parOcipate  in  CAISO  markets  

and  to  install  or  uOlize  control  equipment  

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Renewables frequently provide downward reserves

Online  reserves:  Load  following,  regulaOon,  and  spinning  

-­‐4  -­‐3  -­‐2  -­‐1  0  1  2  3  4  5  

50%  RPS  Base  

Renewables  Provide  Reserves  

Average  Online  Re

serve  

Provision  (GW)  

Renewable  Upward  Storage  Upward  Hydro  Upward  

Gas  Upward  

•  Renewables  don’t  have  to  be  pre-­‐curtailed  to  provide  downward  reserves  

Upw

ard  

Downw

ard  

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•  More  analysis  needed  on  cost  tradeoffs  

Strategy [2]: Non-­‐generaOon  flexibility  reduces  curtailment  and  GHG  emissions  

AddiOonal  Non-­‐GeneraOon  Flexibility  (GW)  =  storage  +  advanced  demand  response  +  exports  

24  

41.1   38.8   37.6   37.0  

0  

10  

20  

30  

40  

50  

0  

1  

2  

3  

4  

5  

6  

0   3   6   9  

%  Curtailm

ent  

CO2  E

mission

s  (M

MTC

O2/Yr)  

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Reserves from non-fossil resources are valuable  

-­‐4  -­‐3  -­‐2  -­‐1  0  1  2  3  4  5  

0   3   6   9  

Average  Online  Re

serve  

Provision  (GW)  

Addi>onal  Non-­‐Genera>on  Flexibility  (GW)  

Demand  Response  Upward  

Storage  Upward  

Hydro  Upward  

Gas  Upward  

%  Non-­‐Fossil  

•  Downward  reserves  are  parOcularly  valuable  25  

Upw

ard  

Downw

ard  

37%   56%   67%   75%  

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Strategy [3]: Gas power plant flexibility has important limits

26  

Gas  fleet  changes  in  the  Flexible  Gas  run:  •  Double  ramp  rate  •  Half  minimum  

power  level  •  1  hour  start  and  

stop  Omes  •  2  hour  minimum  

upOme  and  downOme  

•  Providing  some  reliability  services  with  gas  requires  electricity  producOon,  which  “crowds  out”  renewables  

4.8   4.7  

3.2   3.0  

0  

1  

2  

3  

4  

5  

6  

Default  Gas  Flexibility  

Double  Ramp  Rate  

Combined  Cycle  Half  Minimum  Power  Level  

Flexible  Gas  

%  Curtailm

ent  

•  Duck  Chart:  “belly”  is  much  more  important  than  the  “neck”  

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Renewable flexibility competes with gas flexibility

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•  When  renewables  can  provide  reserves,  the  amount  of  operaOonal  flexibility  on  the  grid  increases.    Consequently,  the  amount  of  curtailment  that  can  be  avoided  by  increasing  the  flexibility  of  natural  gas  power  plants  decreases  

4.8   4.7  

3.2   3.0  2.7   2.6  2.1   2.0  

0  

1  

2  

3  

4  

5  

6  

Default  Gas  Flexibility  

Double  Ramp  Rate  

CCGT  Half  Minimum  Power  Level  

Flexible  Gas  

%  Curtailm

ent  

Without  Renewable  Reserves  With  Renewable  Reserves  

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Non-­‐Fossil  SoluOons:  •  Renewables  can  provide  

reserves  •  1  GW  addiOonal  electricity  

storage  •  1  GW  advanced  demand  

response  •  1  GW  net  exports  allowed  

OperaOonal  flexibility:  Non-­‐fossil  can  go  further  than  gas  

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39.0   41.1   37.4  

0  10  20  30  40  50  

Flexible  Gas  

50%  RPS   Non-­‐Fossil  SoluOons  

CO2  E

mission

s  (M

MTC

O2  /Yr)  

3.0  

4.8  

1.1  

0  1  2  3  4  5  6  

Flexible  Gas  

50%  RPS   Non-­‐Fossil  SoluOons  

%  Curtailm

ent  

50%  RPS  Base  

50%  RPS  Base  

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Non-­‐fossil  soluOons  can  turn  gas  down  or  off  when  ample  renewable  energy  is  available  

Example  day  depicted  here  is  a  near  worst-­‐case  weekend  day  in  May  

Renewable  Storage  Supply  Demand  Response  Supply  Gas  Peaker  Gas  Combined  Cycle  Hydroelectric  Combined  Heat  and  Power  Nuclear  

Adjusted  Input  

Supply  

Demand  

Renewable  Curtailment  Storage  Demand  Demand  Response  Demand  Exports  

Downward  Balancing  

29  

0   2   4   6   8   10   12   14   16   18   20   22  -­‐20  -­‐15  -­‐10  -­‐5  0  5  10  15  20  25  30  35  

Gen

era>

on  (G

Wh)  

Hour  of  Day  

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30  

33%  RPS   50%  RPS  

Renewable  curtailment  

Renewable  dispatchability  

At  a  50%  RPS,  renewables  should  help  to  integrate  themselves  by  being  dispatchable  during  criOcal  Omes  

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•  Increasing the RPS from 33% to 50% reduces electricity GHG emissions by 22 - 27%

•  Coincident gas generation and renewable curtailment should be avoided

•  Reliability requirements cause renewable curtailment

•  Operating renewables flexibly is particularly effective

•  Non-generation flexibility can reduce GHG emissions

•  Natural gas power plant flexibility has important limits

31  

Key  findings