Life-cycle greenhouse-gas emissions of energy sources
Measurement of life-cycle greenhouse gas emissions involves calculating the global-warming potential of electrical energy sources through life-cycle assessment of each energy source. The findings are presented in units of global warming potential per unit of electrical energy generated by that source. The scale uses the global warming potential unit, the carbon dioxide equivalent (e), and the unit of electrical energy, the kilowatt hour (kWh). The goal of such assessments is to cover the full life of the source, from material and fuel mining through construction to operation and waste management.

In 2014, the Intergovernmental Panel on Climate Change harmonized the carbon dioxide equivalent (e) findings of the major electricity generating sources in use worldwide. This was done by analyzing the findings of hundreds of individual scientific papers assessing each energy source.

For all technologies, advances in efficiency, and therefore reductions in e since the time of publication, have not been included. For example, the total life cycle emissions from wind power may have lessened since publication. Similarly, due to the time frame over which the studies were conducted, nuclear Generation II reactor's e results are presented and not the global warming potential of Generation III reactors. Other limitations of the data include: a) missing life cycle phases, and, b) uncertainty as to where to define the cut-off point in the global warming potential of an energy source. The latter is important in assessing a combined electrical grid in the real world, rather than the established practice of simply assessing the energy source in isolation.

2014 IPCC, Global warming potential of selected electricity sources

1 see also environmental impact of reservoirs#Greenhouse gases.

2012 Yale University systematic review and harmonization of nuclear power data
A Yale University review of hundreds of prior papers, as published in the Journal of Industrial Ecology analyzing  life cycle assessment (LCA) emissions from nuclear power determined: "The collective LCA literature indicates that life cycle GHG emissions from nuclear power are only a fraction of traditional fossil sources and comparable to renewable technologies." The study also noted that, for the most common category of reactors, the light water reactor (LWR), "Harmonization decreased the median estimate for all LWR technology categories so that the medians of BWRs, PWRs, and all LWRs are similar, at approximately 12g -eq/kWh.

Speaking of the numerous assumptions and therefore wide results returned by authors of previous individual studies, the Warner and Heath Yale paper states: "the difference between nuclear power life cycle GHG emissions constructed in an electric system dominated by nuclear (or renewables) and a system dominated by coal can be fairly large (in the range of 4-to-22g -eq/kWh compared to 30-to-110g -eq/kWh, respectively)". The established electric grid is a necessary input to drive the uranium enrichment systems.

With Figure 4 of the paper, expanding on these figures, displaying the median result returned from these other papers as approximately 35 g -eq/kWh when a nation's background electricity energy mix is high carbon, that is, primarily coal powered, combined with a slightly lower than typical uranium ore grade input in the range of 0.01% U3O8. To put this number in perspective, average uranium ores are between 0.05% to 0.4% U3O8, with the ore at the most productive uranium mine in the world, McArthur River uranium mine, at approximately 15.76%. The high rate of near 110g of GHGs mentioned in this Yale paper, as shown in Figure 4 and discussed in the body of the article, is derived from what the authors consider to be a "worst-case scenario" that is not "considered very robust". As it is inclusive of a combination of unrealistic factors not seen in any country. This is, a high coal usage in the electricity energy-mix combined with the terrestrial mining by conventional methods, of ultra low-grade "uranium ore" with a "0.0001%" concentration of U3O8.

As a way to put this ore concentration into perspective, vast quantities of presently uneconomical uranium in many lignite coal ashes have uranium concentrations five times greater than this. On the other hand, the 4 g -eq/kWh rate mentioned in the body of the paper is, again as Figure 4 shows, a result of an electricity energy-mix that is already low-carbon combined with a more typical, but still low, uranium ore grade of 0.01% U3O8. This combination is considerably different than the hypothetical "worst-case scenario" of 110g, as this latter combination is seen in countries such as Sweden, Switzerland and the France. This close-to-4g value, reported by the Swedish Vattenfall study, is discussed below.

In the most common and pertinent case of GHG data from countries with a medium carbon intensity electric grid and input ores of about 0.01%. The median value of GHG emissions was determined to be about 9g, as depicted in figure 4 of the Yale paper, when the now world-standard centrifuge enrichment approach alone, is assessed. In 2013 the other less economic approach of gaseous diffusion enrichment, that is similarly depicted in figure 4 was retired worldwide. When it operated the median GHG value that the Yale analysts depict, this old technology was about 15g under the same medium carbon grid conditions.

The authors of the Yale paper also note that a "similar but less extreme dynamic relationship between ore grades and fossil energy consumption could apply to rare-earth elements used in some renewable technologies".

Lastly, although the paper primarily dealt with data derived from legacy Generation II reactors, it did also summarize the Life Cycle Assessment literature of more advanced reactor designs, of which presently only small numbers are in operation, e.g. the BN-800. "Fast Breeder Reactors have been evaluated in the LCA literature. The limited literature that evaluates this potential future technology reports median life cycle GHG emissions … similar to or lower than LWRs and purports to consume little or no uranium ore."

2011 IPCC aggregated results of the available literature 

A literature review conducted by the Intergovernmental Panel on Climate Change in 2011, of numerous energy sources  emissions per unit of electricity generated, found that the  emission values that fell within the 50th percentile of all total life cycle emissions studies were as follows.

2008 Benjamin K. Sovacool survey of nuclear power 
A meta analysis of 103 nuclear power life-cycle studies by Benjamin K. Sovacool found that nuclear power plants produce electricity with a mean of 66 g equivalent life-cycle carbon dioxide emissions per kWh, compared to renewable power generators, which produce electricity with 9.5 to 38 g carbon dioxide per kWh, and fossil-fuel power stations, which produce electricity with about 443 to 1,050 g equivalent life cycle carbon dioxide emissions per kWh. Sovacool thus concludes that nuclear energy technologies are seven to sixteen times more effective at fighting climate change than fossil fuel power plants on a per-kWh basis. Renewable electricity technologies are "two to seven times more effective than nuclear power plants on a per kWh basis at fighting climate change." Sovacool has said that his estimates already include all conceivable emissions associated with the manufacturing, construction, installation and decommissioning of renewable power plants.

Sovacool has been criticized by his peers, as it was noted that his paper was overly based on data from Jan Willem Storm van Leeuwen. Beerten et al. state:
"Most recently, Sovacool (2008) calculated a mean value for the overall emissions by averaging the global results of 19 LCA [Life-Cycle Analysis] studies forming a subset of, as stated by the author, 'the most current, original and transparent studies' out of 103 studies. However, a critical assessment reveals that a majority of the studies representing the upper part of the spectrum are studies that can be traced back to the same input data and performed by the same author, namely Storm van Leeuwen. After careful analysis, it must be concluded that the mix of selected LCAs results in a skewed and distorted collection of different results available in the literature. Furthermore, since many studies use different energy mixes and other assumptions, averaging GHG emissions of those studies is no sound method to calculate an overall emission coefficient, as it gives no site specific information needed for policy makers to base their decisions."

Beerten, et al., proceed to discuss reasons why LCA analysis for nuclear power plants can give such widely varying estimates. For example, life-cycle greenhouse-gas emissions of nuclear power depend on the enrichment method, the carbon intensity of the electricity used for enrichment, the efficiency of the plant, as well as on chosen mining technologies. Averages and means from multiple sources can be skewed by inharmonious data, clustering bias, by outliers and so on.

There have been responses to these criticisms, particularly in reference to Sovacool applying his methodology to nuclear power but using other researchers' results, from different methodologies, as the source of the above-tabled Wind and Solar energy figures. Following these criticisms Sovacool and his colleague Daniel Nugent would write another study were these other energy sources were assessed what Sovacool described as the same methodology in 2013. Their paper reports that wind energy has a mean value of 34.11 grams of CO2-eq/kWh and solar PV a mean value of 49.91 grams of CO2-eq/kWh, with the minimum for wind being 0.4 g and the maximum 364.8 g and a minimum for Solar PV of 1 g and a maximum of 218 g.

Other studies 

Individual studies show a wide range of estimates for fuel sources arising from the different methodologies used. Those on the low end tend to leave parts of the life cycle out of their analysis, while those on the high end often make unrealistic assumptions about the amount of energy used in some parts of the life cycle.

In 2007 the Intergovernmental Panel on Climate Change stated that total life-cycle GHG emissions per unit of electricity produced from nuclear power are below 40 g -eq/kWh (10 g C-eq/kWh), similar to those for renewable energy sources. The Swedish utility Vattenfall did a study in 1999 of full life cycle emissions of nuclear, hydro, coal, gas, solar cell, peat, and wind. All the energy sources that the electricity utility actively has experience using to generate electricity. The findings of their study showed that nuclear power produced 3.3 grams of carbon dioxide per kW-hr of produced power. This compares to 400 for natural gas and 700 for coal (according to this study). The study also concluded that nuclear power produced the smallest amount of CO2 of any of their electricity sources.

Another report, "Life-Cycle Energy Balance and Greenhouse Gas Emissions of Nuclear Energy in Australia," conducted by the University of Sydney in 2008, produced the following results: nuclear = 60-65 g /kWh; wind power = 20 g/kWh; solar PV = 106 g/kWh. The likely range of values from this study produced the following results: nuclear = 10-130 g /kWh; wind power = 13-40 g /kWh; solar PV = 53-217 g /kWh. Furthermore, the study criticised the Vattenfall report: "it omits the energy and greenhouse gas impacts of many upstream [mining] contributions." In a study conducted in 2006 by the UK's Parliamentary Office of Science and Technology (POST), which used figures from Torness Nuclear Power Station-an Advanced gas-cooled reactor, nuclear power's life cycle was evaluated to emit the least amount of carbon dioxide (very close to wind power's life cycle emissions) when compared to the other alternatives (fossil fuel, coal, and some renewable energy including biomass and PV solar panels).

A 2005 study, by Jan Willem Storm van Leeuwen, reported that carbon dioxide emissions from nuclear power plants per kilowatt hour could range from 20% to 120% of those for natural gas-fired power stations depending on the availability of high grade ores. Although the study was heavily criticized, the paper was used by anti-nuclear organizations to claim that nuclear power is not suitable for a warming world.

Ocean energy technologies (tidal and wave) are relatively new, and few studies have been conducted on them. A major issue of the available studies is that they seem to underestimate the impacts of maintenance, which could be significant. An assessment of around 180 ocean technologies found that the GWP of ocean technologies varies between 15 and 105 gCO2eq/kWh, with an average of 53gCO2eq/kWh . In another study, the environmental impact of tidal current technologies was studied, where the GWP varied between 15 and 37, with a median value of 23.8gCO2eq/kWh) , which is slightly higher than that reported in the 2014 IPCC GWP study mentioned earlier (5.6 to 28, with a mean value of 17gCO2eq/kWh).

Missing life cycle phases
Although the life cycle assessments of each energy source should attempt to cover the full life cycle of the source from cradle-to-grave, they are generally limited to the construction and operation phase. The most rigorously studied phases are those of material and fuel mining, construction, operation, and waste management. However, missing life cycle phases exist for a number of energy sources. At times, assessments variably and sometimes inconsistently include the global warming potential that results from decommissioning the energy supplying facility, once it has reached its designed life-span. This includes the global warming potential of the process to return the power-supply site to greenfield status. For example, the process of hydroelectric dam removal is usually excluded as it is a rare practice with little practical data available. Dam removal however may become increasingly common as dams age. An example of this is the decommissioning of the Bull Run Hydroelectric Project, which was the largest concrete dam ever removed in the United States as of 2012. Larger dams, such as the Hoover Dam and the Three Gorges Dam, are intended to last "forever" with the aid of maintenance, a period that is not quantified. Therefore, decommissioning estimates are generally omitted for some energy sources, while other energy sources include a decommissioning phase in their assessments.

Along with the other prominent values of the paper, the median value presented of 12 g -eq/kWhe for nuclear fission, found in the 2012 Yale University nuclear power review, a paper which also serves as the origin of the 2014 IPCC's nuclear value, does however include the contribution of facility decommissioning with an "Added facility decommissioning" global warming potential in the full nuclear life cycle assessment.

GHG from utility-scale wind power

High electric grid penetration by intermittent power sources (e.g. wind power) which have low capacity factors due to the weather, requires either: a) the construction of energy storage projects, which have their own emission intensity, or b) more frequent back up than the reserve requirements necessary to back up more dependable/baseload power sources, such as hydropower and nuclear energy. This higher dependence on back up/load following power plants to ensure a steady power grid output has the knock-on effect of more frequent inefficient (in e g/kWh) throttling up and down of these other power sources in the grid to facilitate the intermittent, or variable output, of these energy supplying systems. When one includes the total effect of these intermittent sources as it pertains to the other power sources in the grid system, that is, including the inefficient start-up emissions of the backup power supplies to cater for wind energy; into wind energy's total system-wide life cycle, the result is a higher real-world wind energy emission intensity than the calculated and isolated wind energy g/kWh value. As these calculations look at the wind power source in isolation and exclude all down stream detrimental/inefficiency effects on the grid. In a 2012 paper in the Journal of Industrial Ecology, Dolan and Heath state:

Heat from thermal power plants
Thermal power plants, that is, those that produce thermal/heat energy, with common low carbon power examples such as biomass, nuclear and geothermal energy stations, directly add heat energy to the earth's global energy balance. According to David JC MacKay, assuming that all future energy is derived from these thermal power stations operating with their present thermal efficiency of ~30%, and that the world population is 10 billion in 100 years time (~2100) with each individual enjoying a per capita energy usage rate similar to that of the average European standard of living of 125 kWh per day, the extra power contributed by this thermal energy use to the planet would be a global surface area average of 0.1 Watt per square meter, which is one fortieth of the 4 W/m2 that is believed to be likely if a doubling of atmospheric CO2 concentrations occur, and a little smaller than the "0.25 W/m2 effect" of Solar variations. "Under these assumptions, human power production would just show up as a contributor to global climate change."

Heating and potential cooling from wind turbines
An MIT peer-reviewed study suggested that using wind turbines to meet 10 percent of global energy demand in 2100 could have a warming effect, causing temperatures to rise by  in the regions on land where the wind farms are installed, including a smaller increase in areas beyond those regions. This is due to the effect of wind turbines on both horizontal and vertical atmospheric circulation. While turbines installed in water would have a cooling effect, the net impact on global surface temperatures would be an increase of . Author Ron Prinn said that the study hadn't conclusively proved this and cautioned against interpreting the study "as an argument against wind power." He urged instead that it guide future research.

While observations of the regional temperature increase from the operation of wind farms has since become incontrovertible. Models on projections for 2020 and 2030 have found varying levels of effects depending on placement and the percentage contribution to total electricity generation. With one model returning an expected warming from the analysis of a baseline 34% grid penetration in the EU, resulting in an estimated 0.1 Celsius increase in temperatures in that area, with the largest warming effect occurring in the winter season were "~0.3" Celsius in the northern part of the continent is expected, alongside changes in precipitation rates on the order of 5%.

In 2018 a Harvard study published in the journal Joule found that in a scenario where the U.S. used turbines to provide approximately all its present electricity needs, the nation’s average temperature would go up about 0.2 Celsius. With large variability, the central continental areas next to the wind turbines would see localized warming around 1.4 Celsius, while the East Coast would experience some cooling.