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Jevons paradox

Jevons paradox
The Jevons paradox has been used to argue that energy conservation may be futile, as increased efficiency may increase fuel use. Nevertheless, increased efficiency can improve material living standards. Further, fuel use declines if increased efficiency is coupled with a green tax or other conservation policies that keep the cost of use the same (or higher).[3] As the Jevons paradox applies only to technological improvements that increase fuel efficiency, policies that impose conservation standards and increase costs do not display the paradox. History[edit] The Jevons paradox was first described by the English economist William Stanley Jevons in his 1865 book The Coal Question. Jevons observed that England's consumption of coal soared after James Watt introduced his coal-fired steam engine, which greatly improved the efficiency of Thomas Newcomen's earlier design. Cause[edit] Rebound effect[edit] Khazzoom–Brookes postulate[edit] Energy conservation policy[edit] See also[edit] Related:  veselinihilista

Growth Has an Expiration Date Bio Tom Murphy Tom Murphy is an associate professor of physics at the University of California, San Diego. He currently leads a project to test General Relativity by bouncing laser pulses off of the reflectors left on the Moon by the Apollo astronauts, achieving one-millimeter range precision. Murphy's keen interest in energy topics began with his teaching a course on energy and the environment for non-science majors at UCSD. He has explored the quantitatively convincing case that our pursuit of an ever-bigger scale of life faces gigantic challenges and carries significant risks. Click on any word within the transcript to jump to that point in the program. next previous cancel To download this program become a Front Row member. ZOOM IN: Learn more with related books and additional materials. For related Britannica content, please search on Britannica's Web site, at www.britannica.com.

A Plan to Power 100 Percent of the Planet with Renewables In December leaders from around the world will meet in Copenhagen to try to agree on cutting back greenhouse gas emissions for decades to come. The most effective step to implement that goal would be a massive shift away from fossil fuels to clean, renewable energy sources. If leaders can have confidence that such a transformation is possible, they might commit to an historic agreement. A year ago former vice president Al Gore threw down a gauntlet: to repower America with 100 percent carbon-free electricity within 10 years. Select an option below: Customer Sign In *You must have purchased this issue or have a qualifying subscription to access this content Kalundborg Eco-industrial Park Industrial symbiosis network in Kalundborg, Denmark View from around the Asnæs power station. Kalundborg Eco-Industrial Park is an industrial symbiosis network located in Kalundborg, Denmark, in which companies in the region collaborate to use each other's by-products and otherwise share resources. History[edit] The Kalundborg Industrial Park was not originally planned for industrial symbiosis. The park began in 1959 with the start up of the Asnæs Power Station. Since then, the facilities in Kalundborg have been expanding, and have been sharing a variety of materials and waste products, some for the purpose of industrial symbiosis and some out of necessity, for example, freshwater scarcity in the area has led to water reuse schemes. A timeline of the creation of the industrial park: The Symbiosis[edit] The relationships among the firms comprising the Kalundborg Eco-Industrial Park form an industrial symbiosis. Partners[edit] Material Exchanges[edit] Savings and environmental impacts[edit]

Are Market GM Plants an Unrecognized Platform for Bioterrorism and Biocrime? Gini coefficient Gini coefficient of national income distribution around the world. This is based on 1989 to 2009 data, estimated by the CIA. Some are pre-tax and transfer, others post-tax income. The Gini coefficient (also known as the Gini index or Gini ratio) (/dʒini/) is a measure of statistical dispersion intended to represent the income distribution of a nation's residents. The Gini coefficient measures the inequality among values of a frequency distribution (for example levels of income). There are some issues in interpreting a Gini coefficient. Definition[edit] Graphical representation of the Gini coefficient The graph shows that the Gini coefficient is equal to the area marked A divided by the sum of the areas marked A and B. that is, Gini = A / (A + B). The Gini coefficient is usually defined mathematically based on the Lorenz curve, which plots the proportion of the total income of the population (y axis) that is cumulatively earned by the bottom x% of the population (see diagram). where and

How to power America with renewables on the cheap: Build a shit ton of wind and solar capacity America could be powered almost entirely with wind turbines and solar systems by 2030 at a cost comparable to what we’re spending for dirty power today, a new study finds. The necessary approach would surprise most people, and it would generate enough economic activity to make any capitalist drool: Build, build, build … and then build some more. From Midwest Energy News: The analysis … challenges the common notion that wind and solar power need to be paired with fossil fuel or nuclear generators, so utilities can meet electricity demand when it’s not windy or sunny.The paper instead proposes building out a “seemingly excessive” amount of wind and solar generation capacity — two to three times the grid’s actual peak load. By spreading that generation across a wide enough geographic area, Rust Belt utilities could get virtually all of their electricity from renewables in 2030, at a cost comparable to today’s prices, it says. So keep those wind and solar farms coming, America.

James J. Kay James J. Kay (June 18, 1954 – May 30, 2004) was an ecological scientist and policy-maker. He was a respected physicist best known for his theoretical work on complexity and thermodynamics. Biography[edit] James Kay held a BS in physics from McGill University and a Ph.D. in systems design engineering from the University of Waterloo. His Ph.D. thesis was entitled Self-Organization in Living Systems.[1][2] Much of his work relates to integrating thermodynamics into an understanding of self-organization in biological systems.[3] For example, when water in a pot is heated, it will spontaneously form convection currents such as Bénard_cell. Kay was an associate professor of environment and resource studies at the University of Waterloo, with cross-appointments in systems design engineering, geography, management sciences, and the School of Planning. Public Policy[edit] Local[edit] Provincial and National[edit] International[edit] Publications[edit] Waltner-Toews, D., Kay, J.J., and Lister, N.

Kalmička zajednica u Beogradu Beogradski Kalmici. Iz foto-arhiva Politike. Opis života društvene grupe koja se raspala pre više desetleća i zatim se skoro bez tragova zagubila povezan je, bez sumnje, sa posebno vrućim problemima metodološke i metodičke prirode. Za etnološku struku beogradska kolonija Kalmika, zapadnomongolskog naroda sa područjeg donjeg toka Volge, zanimljiva je kao primer male zajednice u kosmopolitskom velegradu, kao doprinos etnološkom izgledu Beograda i, konačno, kao fragment istorije Kalmika u emigraciji. Većina Kalmika došla je u Jugoslaviju decembra 1920. sa grupom od 22.000 vojnika, u pratnji članova porodice. Tako su u novoj sredini nastavljali tradiciju uzgoja konja, kojim su se bavili na donskim stepama. Neki Kalmici stigli su u Jugoslaviju 1922. godine, kad su iz Vladivostoka morale da se povuku i poslednje protivboljševičke jedinice. Glavnina ruskih iseljenika u Jugoslaviji živela je u Beogradu. Budistički hram u Malom Mokrom Lugu, Beograd - izgled oltara u različitim periodima. Fusnote: 1.

Listen, Little Man! The Oil Drum | Discussions about Energy and Our Future Life-cycle assessment Methodology for assessing environmental impacts Illustration of the general phases of a life cycle assessment, as described by ISO 14040 Life cycle assessment or LCA (also known as life cycle analysis) is a methodology for assessing environmental impacts associated with all the stages of the life cycle of a commercial product, process, or service. An LCA study involves a thorough inventory of the energy and materials that are required across the industry value chain of the product, process or service, and calculates the corresponding emissions to the environment.[2] LCA thus assesses cumulative potential environmental impacts. Widely recognized procedures for conducting LCAs are included in the 14000 series of environmental management standards of the International Organization for Standardization (ISO), in particular, in ISO 14040 and ISO 14044. Definition, synonyms, goals, and purpose[edit] Example Life Cycle Assessment (LCA) stages diagram Life cycle analysis and GHG carbon accounting

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