Cost of electricity by source


The distinct methods of electricity generation can incur significantly different costs and these costs can occur at significantly different times relative to when the power is used. Also, calculations of these costs can be made at the point of connection to a load or to the electricity grid. The costs include the initial capital, and the costs of continuous operation, fuel, and maintenance as well as the costs of de-commissioning and remediating any environmental damage.
For comparing different methods, it is useful to compare costs per unit of energy which is typically given per kilowatt-hour or megawatt-hour. This type of calculation assists policymakers, researchers and others to guide discussions and decision making but is usually complicated by the need to take account of differences in timing by means of a discount rate.

Recent global studies

BNEF (2020)

In April 2020, Bloomberg New Energy Finance found "Solar PV and onshore wind are now the cheapest sources of new-build generation for at least two-thirds of the global population. Those two-thirds live in locations that comprise 71% of gross domestic product and 85% of energy generation. Battery storage is now the cheapest new-build technology for peaking purposes in gas-importing regions, like Europe, China or Japan."

IRENA (2020)

The International Renewable Energy Agency released a study based on comprehensive international datasets in June 2020 claims that "new solar and wind projects are undercutting the cheapest of existing coal-fired plants". No data for non-renewable sources is presented in the report.

Lazard (2019)

In November 2019, Lazard compared renewable and conventional sources of energy, including comparison between existing and new generation.

Per-unit cost metrics

Levelized cost of electricity

The levelized cost of energy is a measure of a power source that allows comparison of different methods of electricity generation on a consistent basis. The LCOE can also be regarded as the minimum constant price at which electricity must be sold in order to break even over the lifetime of the project.
This can be roughly calculated as the net present value of all costs over the lifetime of the asset divided by an appropriately discounted total of the energy output from the asset over that lifetime.
In explicit mathematical terms levelized cost of electricity is given by:
Typically the LCOE is calculated over the design lifetime of a plant, which is usually 20 to 40 years, and given in the units of currency per kilowatt-hour or megawatt-day, for example AUD/kWh or EUR/kWh or per megawatt-hour, for example AUD/MWh. However, care should be taken in comparing different LCOE studies and the sources of the information as the LCOE for a given energy source is highly dependent on the assumptions, financing terms and technological deployment analyzed. In particular, assumption of capacity factor has significant impact on the calculation of LCOE. Thus, a key requirement for the analysis is a clear statement of the applicability of the analysis based on justified assumptions.
Many scholars, such as Paul Joskow, have described limits to the "levelized cost of electricity" metric for comparing new generating sources. In particular, LCOE ignores time effects associated with matching production to demand. This happens at two levels:
The US Energy Information Administration has recommended that levelized costs of non-dispatchable sources such as wind or solar may be better compared to the avoided energy cost rather than to the LCOE of dispatchable sources such as fossil fuels or geothermal. This is because introduction of fluctuating power sources may or may not avoid capital and maintenance costs of backup dispatchable sources. Levelized avoided cost of energy is the avoided costs from other sources divided by the annual yearly output of the non-dispatchable source. However, the avoided cost is much harder to calculate accurately.

Marginal cost of electricity

A more accurate economic assessment might be the marginal cost of electricity. This value works by comparing the added system cost of increasing electricity generation from one source versus that from other sources of electricity generation.

Cost factors

While calculating costs, several internal cost factors have to be considered. Note the use of "costs," which is not the actual selling price, since this can be affected by a variety of factors such as subsidies and taxes:
To evaluate the total cost of production of electricity, the streams of costs are converted to a net present value using the time value of money. These costs are all brought together using discounted cash flow.

Capital costs

For power generation capacity capital costs are often expressed as overnight cost per watt. Estimated costs are:
Running costs include the cost of any fuel, maintenance costs, repair costs, wages, handling any wastes etc.
Fuel costs can be given per kWh and tend to be highest for oil fired generation, with coal being second and gas being cheaper. Nuclear fuel is much cheaper per kWh.

Market Matching Costs

Many scholars, such as Paul Joskow, have described limits to the "levelized cost of electricity" metric for comparing new generating sources. In particular, LCOE ignores time effects associated with matching production to demand. This happens at two levels:
Thermally lethargic technologies like coal and solid-fuel nuclear are physically incapable of fast ramping. However, many designs of Generation 4 molten fuel nuclear reactors will be capable of fast ramping because the neutron poison xenon-135 can be removed from the reactor while it runs leaving no need to compensate for xenon-135 concentrations and the large negative thermal and void coefficients of reactivity automatically reduce or increase fission output as the molten fuel heats or cools, respectively.
Nevertheless, capital intensive technologies such as wind, solar, and nuclear are economically disadvantaged unless generating at maximum availability since the LCOE is nearly all sunk-cost capital investment. Intermittent power sources, such as wind and solar, may incur extra costs associated with needing to have storage or backup generation available. At the same time, intermittent sources can be even more competitive if they are available to produce when demand and prices are highest, such as solar during summertime mid-day peaks seen in hot countries where air conditioning is a major consumer. Despite these time limitations, leveling costs is often a necessary prerequisite for making comparisons on an equal footing before demand profiles are considered, and the levelized-cost metric is widely used for comparing technologies at the margin, where grid implications of new generation can be neglected.
Another limitation of the LCOE metric is the influence of energy efficiency and conservation.
EEC has caused the electricity demand of many countries to remain flat or decline. Considering only the LCOE for utility scale plants will tend to maximise generation and risks overestimating required generation due to efficiency, thus "lowballing" their LCOE. For solar systems installed at the point of end use, it is more economical to invest in EEC first, then solar. This results in a smaller required solar system than what would be needed without the EEC measures. However, designing a solar system on the basis of LCOE would cause the smaller system LCOE to increase, as the energy generation drops faster than the system cost. The whole of system life cycle cost should be considered, not just the LCOE of the energy source. LCOE is not as relevant to end-users than other financial considerations such as income, cashflow, mortgage, leases, rent, and electricity bills. Comparing solar investments in relation to these can make it easier for end-users to make a decision, or using cost-benefit calculations "and/or an asset’s capacity value or contribution to peak on a system or circuit level".

External costs of energy sources

Typically pricing of electricity from various energy sources may not include all external costs – that is, the costs indirectly borne by society as a whole as a consequence of using that energy source. These may include enabling costs, environmental impacts, usage lifespans, energy storage, recycling costs, or beyond-insurance accident effects.
The US Energy Information Administration predicts that coal and gas are set to be continually used to deliver the majority of the world's electricity. This is expected to result in the evacuation of millions of homes in low-lying areas, and an annual cost of hundreds of billions of dollars' worth of property damage.
An EU funded research study known as ExternE, or Externalities of Energy, undertaken over the period of 1995 to 2005 found that the cost of producing electricity from coal or oil would double over its present value, and the cost of electricity production from gas would increase by 30% if external costs such as damage to the environment and to human health, from the particulate matter, nitrogen oxides, chromium VI, river water alkalinity, mercury poisoning and arsenic emissions produced by these sources, were taken into account. It was estimated in the study that these external, downstream, fossil fuel costs amount up to 1%–2% of the EU's entire Gross Domestic Product, and this was before the external cost of global warming from these sources was even included. Coal has the highest external cost in the EU, and global warming is the largest part of that cost.
A means to address a part of the external costs of fossil fuel generation is carbon pricing — the method most favored by economics for reducing global-warming emissions. Carbon pricing charges those who emit carbon dioxide for their emissions. That charge, called a 'carbon price', is the amount that must be paid for the right to emit one tonne of CO2 into the atmosphere. Carbon pricing usually takes the form of a carbon tax or a requirement to purchase permits to emit.
Depending on the assumptions of possible accidents and their probabilities external costs for nuclear power vary significantly and can reach between 0.2 and 200 ct/kWh. Furthermore, nuclear power is working under an insurance framework that limits or structures accident liabilities in accordance with the Paris convention on nuclear third-party liability, the Brussels supplementary convention, and the Vienna convention on civil liability for nuclear damage and in the U.S. the Price-Anderson Act. It is often argued that this potential shortfall in liability represents an external cost not included in the cost of nuclear electricity; but the cost is small, amounting to about 0.1% of the levelized cost of electricity, according to a CBO study.
These beyond-insurance costs for worst-case scenarios are not unique to nuclear power, as hydroelectric power plants are similarly not fully insured against catastrophic events like a large dam failure. For example, the 1975 Banqiao Dam disaster took the homes of 11 million people and killed between 26,000 and 230,000. As private insurers base dam insurance premiums on limited scenarios, major disaster insurance in this sector is likewise provided by the state.
Because externalities are diffuse in their effect, external costs can not be measured directly, but must be estimated. One approach estimate external costs of environmental impact of electricity is the Methodological Convention of Federal Environment Agency of Germany. That method arrives at external costs of electricity from lignite at 10.75 Eurocent/kWh, from hard coal 8.94 Eurocent/kWh, from natural gas 4.91 Eurocent/kWh, from photovoltaic 1.18 Eurocent/kWh, from wind 0.26 Eurocent/kWh and from hydro 0.18 Eurocent/kWh. For nuclear the Federal Environment Agency indicates no value, as different studies have results that vary by a factor of 1,000. It recommends the nuclear given the huge uncertainty, with the cost of the next inferior energy source to evaluate. Based on this recommendation the Federal Environment Agency, and with their own method, the Forum Ecological-social market economy, arrive at external environmental costs of nuclear energy at 10.7 to 34 ct/kWh.

Additional cost factors

Calculations often do not include wider system costs associated with each type of plant, such as long distance transmission connections to grids, or balancing and reserve costs. Calculations do not include externalities such as health damage by coal plants, nor the effect of CO2 emissions on the climate change, ocean acidification and eutrophication, ocean current shifts. Decommissioning costs of power plants are usually not included, is therefore not full cost accounting. These types of items can be explicitly added as necessary depending on the purpose of the calculation. It has little relation to actual price of power, but assists policy makers and others to guide discussions and decision making.
These are not minor factors but very significantly affect all responsible power decisions:

Australia

TechnologyCost with priceCost without price
Supercritical brown coal$162$95
Supercritical brown coal with CCS$205$192
Supercritical black coal$135 – $145$84 – $94
Supercritical black coal with CCS$162 – $205$153 – $196
Wind$111 – $122$111 – $122

According to various studies, the cost for wind and solar has dramatically reduced since 2006. For example, the Australian Climate Council states that over the 5 years between 2009–2014 solar costs fell by 75% making them comparable to coal, and are expected to continue dropping over the next 5 years by another 45% from 2014 prices. They also found that wind has been cheaper than coal since 2013, and that coal and gas will become less viable as subsidies are withdrawn and there is the expectation that they will eventually have to pay the costs of pollution.
A CO2CRC report, printed on 27 November 2015, titled , provides the following updated situation in Australia. "The updated LCOE analysis finds that in 2015 natural gas combined cycle and supercritical pulverised coal plants have the lowest LCOEs of the technologies covered in the study. Wind is the lowest cost large-scale renewable energy source, while rooftop solar panels are competitive with retail electricity prices. By 2030 the LCOE ranges of both conventional coal and gas technologies as well as wind and large-scale solar converge to a common range of A$50 to A$100 per megawatt hour."
An updated report, posted on 27 September 2017, titled "", indicated that a 100% renewables system is competitive with new-build supercritical coal, which, according to the Jacobs calculations in the report link above, would come in at around A$75 per MWh between 2020 and 2050. This projection for supercritical coal is consistent with other studies by the and used by .

France

The International Energy Agency and EDF have estimated for 2011 the following costs. For nuclear power, they include the costs due to new safety investments to upgrade the French nuclear plant after the Fukushima Daiichi nuclear disaster; the cost for those investments is estimated at 4 €/MWh. Concerning solar power, the estimate of 293 €/MWh is for a large plant capable of producing in the range of 50–100 GWh/year located in a favorable location. For a small household plant that can produce around 3 MWh/year, the cost is between 400 and 700 €/MWh, depending on location. Solar power was by far the most expensive renewable source of electricity among the technologies studied, although increasing efficiency and longer lifespan of photovoltaic panels together with reduced production costs have made this source of energy more competitive since 2011. By 2017, the cost of photovoltaic solar power had decreased to less than 50 €/MWh.
TechnologyCost in 2011Cost in 2017
Hydro power20
Nuclear 5050
Nuclear EPR100
Natural gas turbines without CO2 capture61
Onshore wind6960
Solar farms29343.24

Germany

In November 2013, the Fraunhofer Institute for Solar Energy Systems ISE assessed the levelised generation costs for newly built power plants in the German electricity sector. PV systems reached LCOE between 0.078 and 0.142 Euro/kWh in the third quarter of 2013, depending on the type of power plant and average German insolation of 1000 to 1200 kWh/m² per year. There are no LCOE-figures available for electricity generated by recently built German nuclear power plants as none have been constructed since the late 1980s. An update of the ISE study was published in March 2018.

Middle East

The capital investment costs, fixed and variable costs, and the average capacity factor of utility-scale wind and photovoltaic electricity supplies from 2000 to 2018 have been obtained using overall variable renewable electricity production of the countries in the Middle East and 81 examined projects.
YearWind CFPhotovoltaic CFWind LCOE Photovoltaic LCOE
20000.190.17--
2001-0.17--
20020.210.21--
2003-0.17--
20040.230.16--
20050.230.19--
20060.200.15--
20070.170.21--
20080.250.19--
20090.180.16--
20100.260.20107.8-
20110.310.1776.2-
20120.290.1772.7-
20130.280.2072.5212.7
20140.290.2066.3190.5
20150.290.1955.4147.2
20160.340.2052.2110.7
20170.340.2151.594.2
20180.370.2342.585.8
2019-0.23-50.1

Japan

A 2010 study by the Japanese government, called the Energy White Paper, concluded the cost for kilowatt hour was ¥49 for solar, ¥10 to ¥14 for wind, and ¥5 or ¥6 for nuclear power.
Masayoshi Son, an advocate for renewable energy, however, has pointed out that the government estimates for nuclear power did not include the costs for reprocessing the fuel or disaster insurance liability. Son estimated that if these costs were included, the cost of nuclear power was about the same as wind power.
More recently, the cost of solar in Japan has decreased to between ¥13.1/kWh to ¥21.3/kWh.

United Kingdom

The Institution of Engineers and Shipbuilders in Scotland commissioned a former Director of Operations of the British National Grid, Colin Gibson, to produce a report on generation levelised costs that for the first time would include some of the transmission costs as well as the generation costs. This was published in December 2011. The institution seeks to encourage debate of the issue, and has taken the unusual step among compilers of such studies of publishing a spreadsheet.
On 27 February 2015 Vattenfall Vindkraft AS agreed to build the Horns Rev 3 offshore wind farm at a price of . This has been quoted as below per MWh.
In 2013 in the United Kingdom for a new-to-build nuclear power plant, a feed-in tariff of £92.50/MWh plus compensation for inflation with a running time of 35 years was agreed.
The Department for Business, Energy and Industrial Strategy publishes regular estimates of the costs of different electricity generation sources, following on the estimates of the merged Department of Energy and Climate Change. Levelized cost estimates for new generation projects begun in 2015 are listed in the table below.

United States

Energy Information Administration (2020)

The following data are from the Energy Information Administration's Annual Energy Outlook released in 2015. They are in dollars per megawatt-hour. These figures are estimates for plants going into service in 2020. The LCOE below is calculated based off a 30-year recovery period using a real after tax weighted average cost of capital of 6.1%. For carbon intensive technologies 3 percentage points are added to the WACC.
Since 2010, the US Energy Information Administration has published the Annual Energy Outlook, with yearly LCOE projections for future utility-scale facilities to be commissioned in about five years' time. In 2015, EIA has been criticized by the Advanced Energy Economy Institute after its release of the AEO 2015-report to "consistently underestimate the growth rate of renewable energy, leading to 'misperceptions' about the performance of these resources in the marketplace". AEE points out that the average power purchase agreement for wind power was already at $24/MWh in 2013. Likewise, PPA for utility-scale solar PV are seen at current levels of $50–$75/MWh. These figures contrast strongly with EIA's estimated LCOE of $125/MWh for solar PV in 2020.
Plant TypeMinSimple
Average
Capacity
weighted
average
Max
Ultra-supercritical coal65.1076.44NB91.27
Combined cycle33.3538.0736.6145.31
Combustion Turbine58.4866.6268.7181.37
Advanced Nuclear71.9081.65NB92.04
Geothermal35.1337.4737.4739.60
Biomass86.1994.83NB139.96
Wind, onshore28.7239.9534.1062.72
Wind, offshore102.68122.25115.04155.55
Solar photovoltaic 29.7535.7432.8048.09
Hydroelectric35.3752.7939.5463.24

The electricity sources which had the most decrease in estimated costs over the period 2010 to 2019 were solar photovoltaic, onshore wind and advanced natural gas combined cycle.
For utility-scale generation put into service in 2040, the EIA estimated in 2015 that there would be further reductions in the constant-dollar cost of concentrated solar power , solar photovoltaic, offshore wind, and advanced nuclear. The cost of onshore wind was expected to rise slightly by 2040, while natural gas combined cycle electricity was expected to increase 9% to 10% over the period.

NREL OpenEI (2015)

, sponsored jointly by the US DOE and the National Renewable Energy Laboratory, has compiled a historical cost-of-generation database covering a wide variety of generation sources. Because the data is open source it may be subject to frequent revision.
Note:

Only median value = only one data point.

Only max + min value = only two data points

California Energy Commission (2014)

LCOE data from the California Energy Commission report titled "Estimated Cost of New Renewable and Fossil Generation in California". The model data was calculated for all three classes of developers: merchant, investor-owned utility, and publicly owned utility.

California Energy Commission (2019)

On 9 May 2019 the California Energy Commission released an updated LCOE report:
Tech TypeMethod type to Calculate LCOEMin MedianMax
Solar PV Single Axis 100MWDeterministic3349106
Solar PV Single Axis 100MWProbabilistic445261
Solar Tower with StorageDeterministic81159339
Solar Tower with StorageProbabilistic128158195
Wind 80m hub HightDeterministic3057136
Wind 80m hub HightProbabilistic526581
Geothermal FlashDeterministic54138414
Geothermal FlashProbabilistic116161217
BiomasDeterministic98166268
BiomasProbabilistic158172187
Combined Cycle no duct firingDeterministic77119187
Combined Cycle no duct firingProbabilistic111123141

Lazard (2015)

In November 2015, the investment bank Lazard headquartered in New York, published its ninth annual study on the current electricity production costs of photovoltaics in the US compared to conventional power generators. The best large-scale photovoltaic power plants can produce electricity at US$50 per MWh. The upper limit at US$60 per MWh. In comparison, coal-fired plants are between US$65 and $150 per MWh, nuclear power at US$97 per MWh. Small photovoltaic power plants on roofs of houses are still at 184–300 USD per MWh, but which can do without electricity transport costs. Onshore wind turbines are 32–77 USD per MWh. One drawback is the intermittency of solar and wind power. The study suggests a solution in batteries as a storage, but these are still expensive so far.
Lazard's long standing Levelized Cost of Energy report is widely considered and industry benchmark. In 2015 Lazard published its inaugural Levelized Cost of Storage report, which was developed by the investment bank Lazard in collaboration with the energy consulting firm, Enovation.
Below is the complete list of LCOEs by source from the investment bank Lazard.
Plant type LowHigh
Energy efficiency050
Wind3277
Solar PV – thin-film utility-scale5060
Solar PV – crystalline utility-scale5870
Solar PV – rooftop residential184300
Solar PV – rooftop C&I109193
Solar thermal with storage119181
Microturbine7989
Geothermal82117
Biomass direct82110
Fuel cell106167
Natural gas reciprocating engine68101
Gas combined cycle5278
Gas peaking165218
IGCC96183
Nuclear97136
Coal65150
Battery storage****
Diesel reciprocating engine212281

NOTE: ** Battery storage is no longer include in this report. It has been rolled into its own separate report LCOS 1.0, developed in consultation with Enovation Partners.
Below are the LCOSs for different battery technologies. This category has traditionally been filled by diesel engines. These are "behind the meter" applications.
PurposeTypeLow High
MicroGridFlow battery4291046
MicroGridLead-acid433946
MicroGridLithium-ion369562
MicroGridSodium411835
MicroGridZinc319416
IslandFlow battery5931231
IslandLead-acid7001533
IslandLithium-ion581870
IslandSodium6631259
IslandZinc523677
Commercial and industrialFlow battery3491083
Commercial and industrialLead-acid5291511
Commercial and industrialLithium-ion351838
Commercial and industrialSodium4441092
Commercial and industrialZinc310452
Commercial applianceFlow battery9741504
Commercial applianceLead-acid9282291
Commercial applianceLithium-Ion7841363
Commercial applianceZinc661833
ResidentialFlow battery7211657
ResidentialLead-acid11012238
ResidentialLithium-ion10341596
All of the above
Traditional method
Diesel reciprocating engine212281

Below are the LCOSs for different battery technologies. This category has traditionally been filled by natural-gas engines. These are "in front of the meter" applications.
PurposeTypeLow High
Transmission systemCompressed air192192
Transmission systemFlow battery290892
Transmission systemLead-acid4611429
Transmission systemLithium-ion347739
Transmission systemPumped hydro188274
Transmission systemSodium3961079
Transmission systemZinc230376
Peaker replacementFlow battery248927
Peaker replacementLead-acid4191247
Peaker replacementLithium-ion321658
Peaker replacementSodium365948
Peaker replacementZinc221347
Frequency regulationFlywheel276989
Frequency regulationLithium-ion211275
Distribution servicesFlow battery288923
Distribution servicesLead-acid5161692
Distribution servicesLithium-ion400789
Distribution servicesSodium4261129
Distribution servicesZinc285426
PV integrationFlow battery373950
PV integrationLead-acid4021068
PV integrationLithium-ion355686
PV integrationSodium379957
PV integrationZinc245345
All of the above
Traditional method
Gas peaker165218

Lazard (2016)

On 15 December 2016 Lazard released version 10 of their LCOE report and version 2 of their LCOS report.
TypeLow High
Wind3262
Solar PV – crystalline utility-scale4961
Solar PV – thin-film utility-scale4656
Solar PV – community78135
Solar PV – rooftop residential138222
Solar PV – rooftop C&I88193
Solar thermal tower with storage119182
Microturbine7689
Geothermal79117
Biomass direct77110
Fuel cell106167
Natural gas reciprocating engine68101
Gas combined cycle4878
Gas peaking165217
IGCC94210
Nuclear97136
Coal60143
Diesel reciprocating engine212281

Lazard (2017)

On 2 November 2017 the investment bank Lazard released version 11 of their LCOE report and version 3 of their LCOS report.
Generation typeLow High
Wind3060
Solar PV – crystalline utility-scale4653
Solar PV – thin-film utility-scale4348
Solar PV – community76150
Solar PV – rooftop residential187319
Solar PV – rooftop C&I85194
Solar thermal tower with storage98181
Microturbine5989
Geothermal77117
Biomass direct55114
Fuel cell106167
Natural gas reciprocating engine68106
Gas combined cycle4278
Gas peaking156210
IGCC96231
Nuclear112183
Coal60143
Diesel reciprocating engine197281

Below are the unsubsidized LCOSs for different battery technologies for "behind the meter" applications.
Use caseStorage typeLow High
CommercialLithium-ion891985
CommercialLead-acid10571154
CommercialAdvanced lead9501107
ResidentialLithium-ion10281274
ResidentialLead-acid11601239
ResidentialAdvanced lead11381188

Below are the unsubsidized LCOSs for different battery technologies "front of the meter" applications.
Use caseStorage typeLow High
Peaker replacementFlow battery 209413
Peaker replacementFlow battery 286315
Peaker replacementLithium-ion282347
DistributionFlow battery 184338
DistributionLithium-ion272338
MicrogridFlow battery 273406
MicrogridLithium-ion383386

Note: Flow battery value range estimates

Lazard (2018)

In November 2018 Lazard released their 2018 LCOE report
Tech TypeMin Max
Solar PV—Roof top Residential160267
Solar PV—Roof top C&I81170
Solar PV—Community73145
Solar PV—Crystalline Utility Scale4046
Solar PV—Thin Film Utility Scale3644
Solar Thermal Tower with Storage98181
Fuel Cell103152
Geothermal71111
Wind – Onshore2956
Wind – Offshore *9292
Gas Peaking152206
Nuclear112189
Coal60143
Gas Combined Cycle4174

Lazard (2019)

In November 2019 Lazard released their 2019 LCOE report
Tech TypeMin Max
Solar PV—Roof top Residential151242
Solar PV—Roof top C&I75154
Solar PV—Community64148
Solar PV—Crystalline Utility Scale3644
Solar PV—Thin Film Utility Scale3242
Solar Thermal Tower with Storage126156
Geothermal69112
Wind – Onshore2854
Wind – Offshore 8989
Gas Peaking150199
Nuclear118192
Coal66152
Gas Combined Cycle4468

Renewables

Photovoltaics

Photovoltaic prices have fallen from $76.67 per watt in 1977 to nearly $0.102 per watt in October 2019, for multi crystalline silicon solar cells and module price to $0.21 per watt. This is seen as evidence supporting Swanson's law, which states that solar cell prices fall 20% for every doubling of cumulative shipments. The famous Moore's law calls for a doubling of transistor count every two years.
By 2011, the price of PV modules per MW had fallen by 60% since 2008, according to Bloomberg New Energy Finance estimates, putting solar power for the first time on a competitive footing with the retail price of electricity in some sunny countries; an alternative and consistent price decline figure of 75% from 2007 to 2012 has also been published, though it is unclear whether these figures are specific to the United States or generally global. The levelised cost of electricity from PV is competitive with conventional electricity sources in an expanding list of geographic regions, particularly when the time of generation is included, as electricity is worth more during the day than at night. There has been fierce competition in the supply chain, and further improvements in the levelised cost of energy for solar lie ahead, posing a growing threat to the dominance of fossil fuel generation sources in the next few years. As time progresses, renewable energy technologies generally get cheaper, while fossil fuels generally get more expensive:
In the year 2015, First Solar agreed to supply solar power at 3.87 cents/kWh levelised price from its 100 MW Playa Solar 2 project which is far cheaper than the electricity sale price from conventional electricity generation plants. From January 2015 through May 2016, records have continued to fall quickly, and solar electricity prices, which have reached levels below 3 cents/kWh, continue to fall. In August 2016, Chile announced a new record low contract price to provide solar power for $29.10 per megawatt-hour. In September 2016, Abu Dhabi announced a new record breaking bid price, promising to provide solar power for $24.2 per MWh In October 2017, Saudi Arabia announced a further low contract price to provide solar power for $17.90 per MWh. In July 2019, Portugal announced a lowest contract price of $16.54 per MWh. In April 2020, Abu Dhabi Power Corporation secured $13.5 per MWh tariff for its 2GW solar PV project.
With a carbon price of $50/ton, solar PV is cost-competitive in most locations. The declining price of PV has been reflected in rapidly growing installations, totaling a worldwide cumulative capacity of 297 GW by end 2016. According to some estimates total investment in renewables for 2011 exceeded investment in carbon-based electricity generation.
In the case of self consumption, payback time is calculated based on how much electricity is not brought from the grid. Additionally, using PV solar power to charge DC batteries, as used in Plug-in Hybrid Electric Vehicles and Electric Vehicles, leads to greater efficiencies, but higher costs. Traditionally, DC generated electricity from solar PV must be converted to AC for buildings, at an average 10% loss during the conversion. Inverter technology is rapidly improving and current equipment has reached 99% efficiency for small scale residential, while commercial scale three-phase equipment can reach well above 98% efficiency. However, an additional efficiency loss occurs in the transition back to DC for battery driven devices and vehicles, and using various interest rates and energy price changes were calculated to find present values that range from $2,060 to $8,210.
It is also possible to combine solar PV with other technologies to make hybrid systems, which enable more stand alone systems. The calculation of LCOEs becomes more complex, but can be done by aggregating the costs and the energy produced by each component. As for example, PV and cogen and batteries while reducing energy- and electricity-related greenhouse gas emissions as compared to conventional sources. In May 2020, the discovered first year tariff in India is per KWh with
per KWh levelized tariff for round the clock power supply from hybrid renewable power plants with energy storage. The tariff is cheaper than new coal, natural gas, nuclear, etc power plants for base load application.

Solar thermal

LCOE of solar thermal power with energy storage which can operate round the clock on demand, has fallen to AU$78/MWh in August 2017. Though solar thermal plants with energy storage can work as stand alone systems, combination with solar PV power can deliver further cheaper power. Cheaper and dispatchable solar thermal storage power need not depend on costly or polluting coal/gas/oil/nuclear based power generation for ensuring stable grid operation.
When a solar thermal storage plant is forced to idle due to lack of sunlight locally during cloudy days, it is possible to consume the cheap excess infirm power from solar PV, wind and hydro power plants by heating the hot molten salt to higher temperature for converting the stored thermal energy in to electricity during the peak demand hours when the electricity sale price is profitable. Biomass fuel firing can also be incorporated in solar thermal plants economically to enhance their dispatchable generation capability.

Wind power

;Current land-based wind
In the windy great plains expanse of the central United States new-construction wind power costs in 2017 are compellingly below costs of continued use of existing coal burning plants. Wind power can be contracted via a power purchase agreement at two cents per kilowatt hour while the operating costs for power generation in existing coal-burning plants remain above three cents.
;Current offshore wind
In 2016 the Norwegian Wind Energy Association estimated the LCoE of a typical Norwegian wind farm at 44 €/MWh, assuming a weighted average cost of capital of 8% and an annual 3,500 full load hours, i.e. a capacity factor of 40%. NORWEA went on to estimate the LCoE of the 1 GW Fosen Vind onshore wind farm which is expected to be operational by 2020 to be as low as 35 €/MWh to 40 €/MWh. In November 2016, Vattenfall won a tender to develop the Kriegers Flak windpark in the Baltic Sea for 49.9 €/MWh, and similar levels were agreed for the Borssele offshore wind farms. As of 2016, this is the lowest projected price for electricity produced using offshore wind.
;Historic levels
In 2004, wind energy cost a fifth of what it did in the 1980s, and some expected that downward trend to continue as larger multi-megawatt turbines were mass-produced. capital costs for wind turbines are substantially lower than 2008–2010 but are still above 2002 levels. A 2011 report from the American Wind Energy Association stated, "Wind's costs have dropped over the past two years, in the range of 5 to 6 cents per kilowatt-hour recently.... about 2 cents cheaper than coal-fired electricity, and more projects were financed through debt arrangements than tax equity structures last year.... winning more mainstream acceptance from Wall Street's banks.... Equipment makers can also deliver products in the same year that they are ordered instead of waiting up to three years as was the case in previous cycles.... 5,600 MW of new installed capacity is under construction in the United States, more than double the number at this point in 2010. 35% of all new power generation built in the United States since 2005 has come from wind, more than new gas and coal plants combined, as power providers are increasingly enticed to wind as a convenient hedge against unpredictable commodity price moves."
This cost has additionally reduced as wind turbine technology has improved. There are now longer and lighter wind turbine blades, improvements in turbine performance and increased power generation efficiency. Also, wind project capital and maintenance costs have continued to decline. For example, the wind industry in the US in 2014 was able to produce more power at lower cost by using taller wind turbines with longer blades, capturing the faster winds at higher elevations. This opened up new opportunities in Indiana, Michigan, and Ohio. The price of power from wind turbines built above the ground can since 2014 compete with conventional fossil fuels like coal. Prices have fallen to about 4 cents per kilowatt-hour in some cases and utilities have been increasing the amount of wind energy in their portfolio, saying it is their cheapest option.