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"Verschwendung"
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From the cult of waste to the trash heap of history : the politics of waste in socialist and postsocialist Hungary
Zsuzsa Gille combines social history, cultural analysis, and
environmental sociology to advance a long overdue social theory of waste in this
study of waste management, Hungarian state socialism, and post--Cold War capitalism.
From 1948 to the end of the Soviet period, Hungary developed a cult of waste that
valued reuse and recycling. With privatization the old environmentally beneficial,
though not flawless, waste regime was eliminated, and dumping and waste incineration
were again promoted. Gille's analysis focuses on the struggle between a
Budapest-based chemical company and the small rural village that became its toxic
dump site.
eBook
American wasteland : how America throws away nearly half of its food (and what we can do about it)
Grocery prices and the forsaken foods at the back of your fridge seem to increase weekly. After reading American Wasteland, you will never look at your shopping list, refrigerator, plate, or wallet the same way again. Jonathan Bloom wades into the garbage heap to unearth what our squandered food says about us, why it matters, and how you can make a difference starting in your own kitchen--reducing waste and saving money. Interviews with experts such as chef Alice Waters and food psychologist Brian Wansink, among others, uncover not only how and why we waste, but, most importantly, what we can do about it.
eBook
Reduce Your Compressed Air Costs
[BILL SCALES], P.E., is the chief executive officer of Scales Industrial Technologies, Inc. (Phone: (516) 248-9096 X2611; Email: bscales@scalesair.com) and an internationally recognized expert in compressed air systems. He has had an extensive career in the air compressor industry as a mechanic, engineer, consultant, and author. He has visited more than 5,000 facilities and conducted energy assessments and audits of more than 800 mid-sized and large compressed air systems throughout the world.
Trade Publication Article
Detecting Cooling Coil Fouling Automatically-Part 1: A Novel Concept
Fouling of surfaces within the heat exchangers of heating, ventilating, and air-conditioning (HVAC) systems of buildings is an equipment fault that wastes appreciable amounts of energy; however, it escapes detection under current building automation technology. A novel concept is introduced to automatically detect this fouling on water-side and air-side surfaces of water-cooled HVAC air coils. The concept incorporates a model-driven component contributing a table of human expert information and an embedded data-driven component assimilating real-time data sampled from HVAC plant instrumentation. Supervisory programming (the \"agent\") conducts real-time surveillance for coil fouling using the data-driven component, which is a model replicating the current dynamic thermal behavior of the coil. The surveillance is a specific characterizing transient (a \"query\") exercised periodically on the data-driven dynamic coil model as a surrogate for exciting the real coil. When a query returns a suspect result, the agent determines if coil fouling or some other change caused that result by using the tabulated expert information. The concept makes use of all data sampled from the plant, reflecting transient and steady behavior. Fouling can be discerned from other developments, such as instrument drift, and the agent can distinguish air-side fouling from water-side fouling, estimate the severity of fouling, and estimate an uncertainty for its classification. The values tabulated describe three-dimensional surfaces characterizing the varied impact fouling generically has on coil thermal effectiveness when considered over the state space of coil operation. Categorical use of that information by the concept is justified by analysis in the effectiveness-NTU state plane.
A companion paper (Veronica 2011) gives results of exercising a crucial task within the concept on simulated data by using one form of a dynamic data-driven model; a multilayer perceptron.
Journal Article
