Month: April 2017

Australia’s Runaway Renewable Energy Crisis: the Product of Government, Not Market Failure

Australia’s Runaway Renewable Energy Crisis: the Product of Government, Not Market Failure

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*** Governments’ renewable energy push to blame for crisis The Australian Financial Review Ben Potter 7 April 2017 The energy sector is in disarray because of government failure, not market failure, former Productivity Commission chairman Gary Banks says. He told Infrastructure Partnerships Australia the spectacle of South Australian Premier Jay Weatherill blaming the private sector […]

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April 12, 2017 at 07:33PM

AIR POLLUTION NOT TO BLAME FOR THOUSANDS OF DEATHS

AIR POLLUTION NOT TO BLAME FOR THOUSANDS OF DEATHS

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This article exposes the fraudulent claims that air pollution is a major cause of death in modern cities.

Ross McKitrick, a University of Guelph economist, has taken a close look at the usefulness of the computer methods producing these smog death figures. First he took Toronto’s computer model and gave it data from the 1960s, when air pollution was noticeably worse than today. Back-testing is a common way to judge a computer model’s reliability. If it cannot explain what has already happened, then it’s usefulness in explaining the future is highly suspect.

The output was nonsense. In February 1965, for instance, the computer model claimed more people died from air pollution than died in the real world from all causes.
“The results I got suggest the models are implausible,” McKitrick told me. “They’re attributing over 100 percent of all deaths to air pollution. It just doesn’t make sense.”
Given the obvious flaws in existing computer models, McKitrick created his own simulation. With two Scottish academics he gathered 20 years of data from five Canadian cities – a far larger data set than used by the Ontario Medical Association – and performed a more sophisticated computer test. These results show air pollution to be almost entirely irrelevant to hospital admissions or death.

According to McKitrick, even if all forms of air pollution miraculously disappeared from Ontario over night, there would be no noticeable decline in the death rate. Claims of a massive death toll do not stand up to scrutiny.

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April 12, 2017 at 06:30PM

Ford’s Electric Cars in China: Good News or Bad?

Ford’s Electric Cars in China: Good News or Bad?

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“Even with more wind and solar power, coal will continue to supply around two-thirds of the power for China’s  expanding electric car users.”

“Think in terms of opportunity cost. The resources for installing 12,000 charging stations could have been used to modernize Chinese coal power plants instead of catering to already-subsidized electric car buyers.

Electric cars are popular with investors, and the New York Times reports on booming market value as “Tesla Passes Ford in Market Value as Investors Bet on the Future,” (April 3, 2017). Tesla’s Elon Musk wants all future engines (except rockets) to be electric:

In his vision, Tesla is going to change the world, and is primed to cash in on the two transformative trends in the industry: the shift to electric vehicles as part of a broader societal move to cleaner energy, and the advent of automated driving.

Electric enthusiasm has reached China as well and CleanTechnica reports: “China Electric Car Sales Demolish US & European Electric Car Sales” (January 25, 2017):

…the 351,861 electric car sales registered in China during 2016 represent approximately 46% of ALL plug-ins sold worldwide this year, with Chinese carmakers responsible for 43% of all EV production in 2016.

Wall Street Journal reports U.S. carmaker Ford in China will be adding to the electric surge:  “Ford to Make Electric Cars in China Amid Green Drive,” , April 7, 2017):

Ford’s local joint venture Changan Ford Automobile Co. will start building the Mondeo Energi plug-in hybrid vehicle in China next year, with a new all-electric sport-utility vehicle set to follow within five years, the company said in a statement.

Screen Shot 2017-04-07 at 4.23.10 PMElectric cars offer many advantages, but reducing pollution isn’t always one of them. Instead, electric cars shift the point of pollution to electricity sources. Electric cars charged in the Pacific Northwest draw power from very clean hydroelectric dams. But electric cars in California add to power imported from coal-fired generating plants in other states.

In addition, electric cars sold in the U.S., China, and E.U. receive significant government subsidies. Yet “Electric cars and the coal that runs them” (Washington Post, November 23, 2015), notes:

…Thanks to generous tax incentives, the share of electric vehicles has grown faster in the Netherlands than in nearly any other country in the world.

But behind the green growth is a filthy secret: In a nation famous for its windmills, electricity is coming from a far dirtier source. Three new coal-fired power plants, including two here on the Rotterdam harbor, are supplying much of the power to fuel the Netherlands’ electric-car boom.

A Wired article on Tesla’s electric cars (March, 31, 2016) explains:

Your electric car doesn’t need gas, but it still might get its energy from burning carbon. It depends on how your local grid generates electricity. “If you use coal-fired power plants to produce the electricity, then all-electrics don’t even look that much better than a traditional vehicle in terms of greenhouse gases,”  … But if your local grid incorporates a fair amount of renewable solar and wind energy, like California, your electric vehicle is pretty clean.

So electric cars in California can be clean on sunny, windy days, and less clean when the grid draws power from out-of-state sources (up to 50% from burning coal). California doesn’t generate much energy from coal, but does import a lot. “UPDATE: California’s quiet market for coal,” SNL (October 12, 2015):

In 2014, less than 5% of California’s total energy demand was served by coal and petroleum coke-fired plants, nearly all of it from plants outside the state, according to an Oct. 12 report from the California Energy Commission. By 2026, California will end virtually all its reliance on coal.

But at times, as much as 50% of Southern California’s electricity still comes from coal-fired plants, Steve Homer, director of project management for the Southern California Public Power Authority, or SCPPA, told SNL Energy.

Back to the China story, generating electricity from coal in United states power plants is far less polluting than electricity from coal in China. “In Coal-Powered China, Electric Car Surge Fuels Fear of Worsening Smog,” (Reuters, January 27, 2016) reports:

A series of studies by Tsinghua University, whose alumni includes the incumbent president, showed electric vehicles charged in China produce two to five times as much particulate matter and chemicals that contribute to smog versus gas-engine cars. Hybrid vehicles fare little better.

“International experience shows that cleaning up the air doesn’t need to rely on electric vehicles,” said Los Angeles-based An Feng, director of the Innovation Center for Energy and Transportation. “Clean up the power plants.”

The key policy point is the upgrade power plants before pushing (subsidizing) electric cars:

Tsinghua’s studies call into question the wisdom of aggressively promoting vehicles which the university said could not be considered environmentally friendly for at least a decade in many areas of China unless grid reform accelerates.

In addition to the problem of electricity source pollution are infrastructure challenges. “California bets on electric cars, at ratepayer risk,” (San Diego Union Tribune,  February 7, 2017), asks:

Should all utility consumers subsidize the wealthier few who like to drive electric cars?

It’s hardly a fair question. Yet that’s what the California Public Utilities Commission will eventually have to decide, now that utilities have proposed a $1 billion plan to build and effectively own the state’s retail charging network of tomorrow.

New charging stations cost money, and so does the renewable power generation grid:

… a second problem created mostly in California, a serious glut of renewable energy. Starting in 2006, lawmakers ordered utility consumers to subsidize rapid increases in wind and solar energy production.

Today the state has as much as 50 percent more power available than needed on a sunny, windy winter afternoon. And then, when the sun goes down or weather causes production to drop, fossil-fuel plants fire up because batteries are too expensive.

China where average incomes are much lower than California, has more severe infrastructure problems for charging electric cars. “What’s Driving The Electric Car Trend In China?,” (NPR Morning Edition, December 14, 2015 ) reports on government subsidies in boosting electric car sales in China. Yang Zhou discusses his new car:

ZHOU: I bought a hybrid model from a Chinese carmaker called BYD. And it stands for Build Your Dreams. I paid $24,000 for the car. And that’s 30 percent off the sticker price. But I paid no purchase tax. And the best thing that comes with the car is a free Shanghai license plate, which is worth $13,000.

Zhou explains that this special license plate allows him to rush-hour access to less-congested elevated Shanghai highways. But he also complains that charging his car is difficult:

ZHOU: I have to admit that charging the car is really a hassle. Every time I do it, I have to lower an extension cord from my apartment, which is on the 11th floor. …

ZHOU: Oh, yeah, it’s very long. And it’s really heavy (laughter). It takes seven hours to charge the car. And the car can drive 40 miles on one charge. But fortunately, I don’t have to charge the car every day. But I do expect that the infrastructure for these kind of vehicles will get better over time because China’s government has planned to build 12,000 charging stations by the year 2020.

Think in terms of opportunity cost. The resources for installing 12,000 charging stations could have been used to modernize Chinese coal power plants instead of catering to already-subsidized electric car buyers.

Shanghai does have a showcase clean coal plant. “China hopes Shanghai clean coal plant sets example,” (PEi, August 23, 2016) and “China’s drive to clean up its coal power, one plant at a time,” (New Scientist, August 22, 2016).

Yet coal still accounts for about two-thirds of China’s energy provision, and more than 200 new coal plants have been given the go-ahead. Globally, too, coal demand and production are forecast to grow until at least 2040.

Technology that improves coal-burning efficiency could be useful for retrofitting older power plants, and cut down their emissions.

Even with more wind and solar power, coal will continue to supply around two-thirds of the power for China’s  expanding electric car users.

Charles C. Mann’s “Renewables Aren’t Enough. Clean Coal is the Future,” (Wired, March 25, 2014) looks at high technology coal power development in China:

GreenGen is a billion-dollar facility that extracts the carbon dioxide from a coal-fired power plant and, ultimately, will channel it into an underground storage area many miles away. Part of a coming wave of such carbon-eating facilities, it may be China’s—and possibly the planet’s—single most consequential effort to fight climate change. …

China, like most of the rest of the world, “pretty much has to use coal,” says Dean, the fuel analyst. “Or, I guess, leave people in the dark.” And since coal is not going away, coal plants around the world will need to find a way to capture and store their emissions. “It’s just crazy not to develop this technology.”

An earlier post “For Still-Poor China, Coal Pollution from Home Heating,” reviewed the challenges of China’s antiquated coal-power plants, especially those for home heat.

———-

Gregory F. Rehmke has directed the Economic Thinking Program for high school, homeschool, and college students for more than 20 years. Mr Rehmke has also directed educational programs at the Center for the American Idea, The Reason Foundation, and the Foundation for Economic Education.

Mr. Rehmke has a degree in Economics from the University of Washington and has worked with the Reason Foundation, the Institute for Humane Studies, the Center for the American Idea, and the Foundation for Economic Education. He is published in The Freeman, Reason, DailySpeculations.com, the MasterResource blog, GlobalEnvision.org, and TechCentralStation.com.

Mr. Rehmke is coauthor of the Complete Idiot’s Guide to Global Economics.

The post Ford’s Electric Cars in China: Good News or Bad? appeared first on Master Resource.

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April 12, 2017 at 06:06PM

Keven Trenberth Defends the Climate Community “Scientific Method”

Keven Trenberth Defends the Climate Community “Scientific Method”

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Guest essay by Eric Worrall

In the wake of the science committee testimony, Climate Scientist Keven Trenberth has insisted that Climate Science does follow the scientific method. But Trenberth himself may have strayed outside accepted scientific methodology.

Yes, we can do ‘sound’ climate science even though it’s projecting the future

Nobody can observe events in the future so to study climate change, scientists build detailed models and use powerful supercomputers to simulate conditions, such as the global water vapor levels seen here, and to understand how rising greenhouse gas levels will change Earth’s systems. NCAR/UCAR, CC BY-NC-ND

April 6, 2017 4.01am AEST

Authors

Kevin Trenberth
Distinguished Senior Scientist, National Center for Atmospheric Research

Reto Knutti
Professor, Eidgenössische Technische Hochschule (ETH) Zürich

Increasingly in the current U.S. administration and Congress, questions have been raised about the use of proper scientific methods and accusations have been made about using flawed approaches.

This is especially the case with regard to climate science, as evidenced by the hearing of the House Committee on Science, Space and Technology, chaired by Lamar Smith, on March 29, 2017.

Chairman Smith accused climate scientists of straying “outside the principles of the scientific method.” Smith repeated his oft-stated assertion that scientific method hinges on “reproducibility,” which he defined as “a repeated validation of the results.” He also asserted that the demands of scientific verification altogether preclude long-range prediction, saying, “Alarmist predictions amount to nothing more than wild guesses. The ability to predict far into the future is impossible. Anyone stating what the climate will be in 500 years or even at the end of the century is not credible.”

Why climate scientists use models

The wonderful thing about science is that it is not simply a matter of opinion but that it is based upon evidence and physical principles, often pulled together in some form of “model.”

In the case of climate science, there is a great deal of data because of the millions of daily observations made mostly for the purposes of weather forecasting. Climate scientists assemble all of the observations, including those made from satellites. They often make adjustments to accommodate known deficiencies and discontinuities, such as those arising from shifts in locations of observing stations or changes in instrumentation, and then analyze the data in various ways.

Projections, not predictions

With climate models as tools, we can carry out “what-if” experiments. What if the carbon dioxide in the atmosphere had not increased due to human activities? What if we keep burning fossil fuels and putting more CO2 into the atmosphere? If the climate changes as projected, then what would the impacts be on agriculture and society? If those things happened, then what strategies might there be for coping with the changes?

These are all very legitimate questions for scientists to ask and address. The first set involves the physical climate system. The others involve biological and ecological scientists, and social scientists, and they may involve economists, as happens in a full Intergovernmental Panel on Climate Change (IPCC) assessment. All of this work is published and subject to peer review – that is, evaluation by other scientists in the field.

The question here is whether our models are similar enough in relevant ways to the real world that we can learn from the models and draw conclusions about the real world. The job of scientists is to find out where this is the case and where it isn’t, and to quantify the uncertainties. For that reason, statements about future climate in IPCC always have a likelihood attached, and numbers have uncertainty ranges.

The models are not perfect and involve approximations. But because of their complexity and sophistication, they are so much better than any “back-of-the envelope” guesses, and the shortcomings and limitations are known.

Read more: http://ift.tt/2pbhtqd

Trenberth has a lot of faith in his models – so much so, a few years ago he demanded that the “null hypothesis” be reversed. If accepted, this would have meant a reversal of the burden of proof regarding the assumption of human influence on global climate.

“Humans are changing our climate. There is no doubt whatsoever,” said Trenberth. “Questions remain as to the extent of our collective contribution, but it is clear that the effects are not small and have emerged from the noise of natural variability. So why does the science community continue to do attribution studies and assume that humans have no influence as a null hypothesis?”

To show precedent for his position Trenberth cites the 2007 report by the Intergovernmental Panel on Climate Change which states that global warming is “unequivocal”, and is “very likely” due to human activities.

Read more: http://ift.tt/2p9YD3x

Trenberth’s demands for a reversal of the burden of proof with regard to climate were rejected by the scientific community. Even climate advocate Myles Allen, head of University of Oxford’s Atmospheric, Oceanic and Planetary Physics Department, thought Trenberth’s demands for a reversal of the burden of proof were wrong.

“The proponents of reversing the null hypothesis should be careful of what they wish for,” concluded Curry. “One consequence may be that the scientific focus, and therefore funding, would also reverse to attempting to disprove dangerous anthropogenic climate change, which has been a position of many sceptics.”

I doubt Trenberth’s suggestion will find much support in the scientific community,” said Professor Myles Allen from Oxford University, “but Curry’s counter proposal to abandon hypothesis tests is worse. We still have plenty of interesting hypotheses to test: did human influence on climate increase the risk of this event at all? Did it increase it by more than a factor of two?”

###
All three papers are free online:

Trenberth. K, “Attribution of climate variations and trends to human influences and natural variability”: http://ift.tt/2p9T9WC

Curry. J, “Nullifying the climate null hypothesis”: http://ift.tt/2p7IOxd

Allen. M, “In defense of the traditional null hypothesis: remarks on the Trenberth and Curry opinion articles”: http://ift.tt/2pa7UJ4

Read more: Same link as above

The problem with climate science is there is no way to test the core prediction, that the Earth will heat substantially in response to anthropogenic CO2 emissions, other than to wait and see.

Important secondary predictions which should be observable by now, such as the missing tropospheric hotspot, or a projected acceleration in sea level rise, have not manifested.

Even more embarrassing, mainstream models cannot even tell us what climate sensitivity to CO2 actually is.

Is equilibrium climate sensitivity 1.5C temperature increase per doubling of CO2? Or is it 4.5C / doubling of CO2? The IPCC Fifth Assessment Summary for Policy Makers cannot give you that answer.

… The equilibrium climate sensitivity quanti es the response of the climate system to constant radiative forcing on multi- century time scales. It is de ned as the change in global mean surface temperature at equilibrium that is caused by a doubling of the atmospheric CO2 concentration. Equilibrium climate sensitivity is likely in the range 1.5°C to 4.5°C (high confidence), extremely unlikely less than 1°C (high confidence), and very unlikely greater than 6°C (medium confidence)16. The lower temperature limit of the assessed likely range is thus less than the 2°C in the AR4, but the upper limit is the same. This assessment re ects improved understanding, the extended temperature record in the atmosphere and ocean, and new estimates of radiative forcing. {TS TFE.6, Figure 1; Box 12.2} …

Read more: IPCC Fifth Assessment WG1 Summary for Policy Makers (page 14)

Why is this range of possible climate sensitivities embarrassing? Consider the Charney Report, from 1979;

… We believe, therefore, that the equilibrium surface global warming due to doubled CO2 will be in the range 1.5C to 4.5 C, with the most probable value near 3°C …

Read more: http://ift.tt/2cFO2sW (page 16)

As theories are refined, key physical quantities should be resolved with greater accuracy. For example, the first measurements of the speed of light, conducted in 1676, were 26% wrong – a remarkable estimate for that period of history, but still wide of the mark. More research – better quality measurements and calculations resolved the original uncertainty about the speed of light, which is now known to a high degree of accuracy.

This failure of climate science to follow the normal scientific progression to more accurate estimates should be a serious concern. This lack of convergence on a central climate sensitivity estimate, after decades of research effort, strongly suggests something is missing from the climate models.

Whatever the missing or mishandled factor is, it has a big influence on global climate. The evidence for this is the embarrassingly broad range of estimates for climate sensitivity to a doubling of CO2, and the failure of those estimates to converge.

If climate models were capable of producing accurate predictions, if they showed any sign of converging on a reasonable climate sensitivity estimate, if predicted secondary phenomena such as the tropospheric hotspot and sea level rise acceleration were readily observable, there would be a lot less resistance to Trenberth’s apparent demand that climate model projections be accepted as somehow equivalent to empirical observations.

It should be obvious to anyone there are way too many loose ends to even come close to such acceptance.

According to the Oxford English Dictionary, the scientific method is A method of procedure that has characterized natural science since the 17th century, consisting in systematic observation, measurement, and experiment, and the formulation, testing, and modification of hypotheses.

Any suggestion that model projections should be accepted as a substitute for systematic observation and experiment, any suggestion that model output from models which have failed several key tests can be relied upon, any suggestion that defective model output constitutes proof of human influence on global climate, in my opinion utterly violates any reasonable understanding of what the scientific method should be.

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April 12, 2017 at 10:09AM