Friday, January 20, 2012

Health Impacts of Power-Exporting Plants in Northern Mexico

http://www.rff.org/Publications/Pages/PublicationDetails.aspx?PublicationID=21721
Abstract: In the past two decades, rapid population and economic growth on the U.S.–Mexico border has spurred a dramatic increase in electricity demand. In response, American energy multinationals have built power plants just south of the border that export most of their electricity to the United States. This development has stirred considerable controversy because these plants effectively skirt U.S. environmental air pollution regulations in a severely degraded international airshed. Yet to our knowledge, this concern has not been subjected to rigorous scrutiny. This paper uses a suite of air dispersion, health impacts, and valuation models to assess the human health damages in the United States and Mexico caused by air emissions from two power-exporting plants in Mexicali, Baja California. We find that these emissions have limited but nontrivial health impacts, mostly by exacerbating particulate pollution in the United States, and we value these damages at more than half a million dollars per year. These findings demonstrate that power-exporting plants can have cross-border health effects and bolster the case for systematically evaluating their environmental impacts.

The full paper is available free of charge at http://www.rff.org/RFF/Documents/RFF-DP-11-18-REV.pdf

Mean estimates of the annual value of health damages attributable  to Intergen emissions are $230,000 in the United States and $104,000 in Mexico. Mean estimates of annual damages attributable to Sempra emission are $160,000 in the United States and $72,000 in Mexico. The total value of annual health damages attributable to both plants is $566,000.

Health effects, concentration-response and valuation studies are summarized in Appendix tables. For Ozone costs of five separate health effects are estimated: 1) Respiratory Hospital Admissions, 2) Asthma Emergency Room Visits, 3) School Absence Days, 4) Minor Restricted Activity Days and 5) Short-term Mortality.  For particulates PM2.5  more effect costs are estimated including 1) Mortality, 2) Chronic Bronchitis, 3) Chronic bronchitis (CB) incidences are estimated annually for the age group 27 and over, 3) Nonfatal Heart Attacks, 4) Respiratory Hospital Admissions, 5) Cardiovascular Hospital Admissions, 6) Asthma Emergency Room Visits, 7) Acute Bronchitis in Children, 8) Upper Respiratory Symptoms in Children, 9) Lower Respiratory Symptoms in Children, 10) Asthma Exacerbations, 11) Work Loss Days, and 12) Minor Restricted Activity Days.

[The authors] use the VSL (value of a statistical life) estimate from Mrozek and Taylor (2002), which has a central value of $2.324 million. This estimate is quite conservative: it is at the low end of the values used in benefit-cost analysis. For example, 2009 U.S. EPA rules mandate that benefit-cost analyses use a VSL of $7.9 million, and 2009 U.S. Department of Transportation rules mandate a VSL of $6.0 million (Copeland 2010). Baseline incidence rates were obtained from the BenMap model used by U.S. EPA for regulatory analyses.

Chronic bronchitis (CB) incidences are estimated annually for the age group 27 and over. Baseline incidence and prevalence rates are from BenMap.  There are three valuation studies for chronic bronchitis. All three are from the BenMap model, and no specific studies are cited. The two cost-of- illness studies, one with a 3 percent discount rate and one with a 7 percent discount rate, are weighted by age within the 27-and-over age group. The other study is based on willingness to pay to avoid a case of pollution-related chronic bronchitis; this valuation does not vary within the 27-and-over age  group. Nonfatal heart attack (NFHA) incidences are estimated seasonally for the age group 18 and over. Baseline incidence rates are from BenMap. There are two NFHA valuation studies in TAF, both from BenMap with no specific study cited: one with a 3 percent discount rate, and one with a 7 percent discount rate. Both studies incorporate 10 years of medical costs and 5 years of wage costs.
by Allen Blackman, Santosh Chandru, Alberto Mendoza-Domínguez and Armistead G. Russell
Resources For the Future (RFF) www.RFF.org
RFF Discussion Paper 11-18; January, 2012

On the Horizon, Planes Powered by Plant Fuel

http://green.blogs.nytimes.com/2012/01/17/on-the-horizon-planes-powered-by-plant-fuel
The use of jet fuel from renewable sources is now well demonstrated, but it costs more than double what fuel made from petroleum does, according to airlines, aircraft companies and suppliers. One way to cut the cost may be to tinker with the plants that biofuel is made from.

Take jatropha, for example. Lufthansa said last week that it had completed a series of more than 800 flights by an Airbus A321 that shuttled between Hamburg and Frankfurt while burning a 50 percent biofuel mix in one of its two engines. The biofuel was derived partly from jatropha, a tropical shrub with an oil-rich nut, and it cost about two and a half times what ordinary petroleum-based fuel does.

On Monday, the United States secretary of agriculture, Thomas Vilsack, speaking at Boeing’s headquarters in Chicago, identified a major impediment to the biofuels endeavor: the cost of harvesting and delivering the feedstock for biorefineries, the factories that make fuel from plant material.

Biologists and financiers are focusing on the problem. On Tuesday, a San Diego company, SG Biofuels, plans to announce $17 million in new financing from venture capital sources to continue its work on raising the yields from jatropha.

The company is trying to do for jatropha, whose fruit is inedible, what agronomists have done for food crops like wheat and corn, swapping genes among strains to produce varieties that are hardy and higher-yielding. The company said it had already raised yields of jatropha oil to 250 to 350 gallons per acre, double the normal output.
...
It was spread around the tropics by Portuguese sailors who believed it had medicinal properties.
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Lufthansa used a mixture of jatropha and camelina, which is widely grown in the United States, and animal fats. After six months on the 50-50 blend, the engine appeared to be functioning normally, the airline said.
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Carbon dioxide emissions declined about 60 percent, gallon for gallon, with the biofuel, Lufthansa said....

Some airlines have reported an even higher differential.

Of the cost, 80 to 85 percent involves the feedstock....

Lufthansa said it spent $8.4 million on the six-month test, with the European Union paying about one-third of the expense.

... Billy Glover, Boeing’s vice president for environment in its commercial airplane sector, said the company hoped to stabilize its greenhouse gas emissions by 2020 by using more efficient planes and more biofuels, while still allowing air travel to grow. By 2050, he said, the industry’s goal is to reduce emissions by 50 percent.

(In theory, the Obama administration’s goal is to cut American greenhouse gas emissions by 80 percent by that date, although the economy is not on track to accomplish that.)

Mr. Vilsack, the agriculture secretary, has been traveling the country preaching the virtues of fueling airplanes from farms. He said that his department would help establish eight to 10 biorefineries producing both vehicle fuel and aviation fuel.

The feedstocks will be specific to the region where the refineries were built — in some places, the nonfood parts of the corn plant, and in others, algae or switchgrass, he said. The department will subsidize the price of feedstocks to help bring the cost closer to competitive levels for the airlines, he said. The Navy has been lined up as a customer.
...
by Matthew Wald
FOR FULL STORY GO TO:
http://green.blogs.nytimes.com/2012/01/17/on-the-horizon-planes-powered-by-plant-fuel
The New York Times Green Blog http://green.blogs.nytimes.com
January 17, 2012

Rensselaer Polytechnic Institute Receives High Performance Energy Efficiency Award from NYSERDA

http://is.gd/2wiUw8
The New York State Energy Research and Development Authority (NYSERDA) recognized Rensselaer Polytechnic Institute (RPI) with a High Performance Building Plaque for energy-saving investments that will reduce energy costs by $223,513 annually.

RPI’s construction of Phase I of its East Campus Athletic Village, a new basketball arena and stadium adjacent to the Houston Field House on the Troy campus, was supported by $404,491 in NYSERDA incentives, which leveraged $3.1 million in other investment. The project’s energy-efficiency improvements included high-efficiency lighting, demand control ventilation, variable speed drives on a cooling tower fan, fan motors and water pumps.

The energy savings—1,173,020 kilowatt hours—is equivalent to the amount of electricity consumed by 170 single-family homes annually and will be realized by the institution every year for years to come.

The facility’s energy efficiency improvements will reduce energy consumption, decrease demands on the utility’s distribution system, increase occupant comfort and decrease the environmental impacts of the construction process.  The improvements also helped RPI achieve LEED Gold certification.
...
NYSERDA High Performance Building Plaques are presented to hospitals, colleges and universities, schools, businesses and other organizations that have constructed or substantially renovated buildings to perform at least 30 percent above the New York State Energy Conservation Construction Code.  RPI’s East Campus Athletic Village is rated to perform 33 percent above code.

Plaques were also awarded in the Capital Region to Arbor Hill Branch and New Scotland Avenue Branch as these buildings are slated to perform 36.3 and 44.6 percent above code respectively.

Since 2009, NYSERDA has provided more than $1.8 million to help reduce electricity consumption by approximately 15.3 million kilowatt hours in 9 new construction projects throughout Rensselaer County - the equivalent of the annual electricity consumption of nearly 2,228 single-family homes.

New York State Energy Research and Development Authority (NYSERDA) www.NYSERDA.org
Press Release dated January 19, 2012

Colony Collapse Disorder: The Market Response to Bee Disease

http://www.perc.org/files/ps50.pdf
Although the winter has barely begun and the spring thaw still feels a long way off for ... Northerners, beekeepers are busily preparing for the beginning of the pollination cycle in California and other Southern states. With more than 2.5 million hives of bees on the road each year, honey bee pollination makes our diet more nutritious and tasty. Yet, in 2007 the popular press wrote that Colony Collapse Disorder, or CCD, was a threat to the honey bee and its valuable pollination services. Headlines such as "Bee Colony Collapses Could Threaten U.S. Food Supply," (Associated Press, May 3, 2007) caught the attention of readers, but in reality, Colony Collapse Disorder has had little impact on American consumers.

... Randy Rucker and Wally Thurman [claim] in the most recent installment of the PERC Policy Series, a market response provided a solution to a real problem. Despite early predictions that CCD would cause billions of dollars of direct loss in crop production, people in the beekeeping industry reacted so swiftly that no changes were detected by the consumers. Fruit farmers and beekeepers took into account the effects they have on each other and settled the difference through pollination fees and other contract terms. While overcoming the difficulties of CCD has been no easy matter, beekeepers have proven themselves adept at navigating changing market conditions.

"The state of the honey bee population - numbers, vitality, and economic output - are the products of not just the impact of disease but also the economic decisions made by beekeepers and farmers," writes Rucker and Thurman.
...
The full report is available free of charge at http://www.perc.org/files/ps50.pdf.

In 2007, then-Secretary of Agriculture Mike Johanns warned that “if left unchecked, CCD has the potential to cause a $15 billion direct loss of crop production and $75 billion in indirect losses.”

Three methods are commonly employed by beekeepers to maintain and rebuild hive numbers. Understanding them is key to knowing how the beekeeping industry responds to disease. The first method used to replace weak hives or hives lost over the winter involves a beekeeper splitting a healthy, full-strength hive into two parts.

The second method used to build or replenish hive numbers is to buy packaged bees. There are companies that sell packaged bees for this purpose... The current average price of a three-pound package of bees, which includes roughly 12,000 worker bees and a fertilized queen, is about $55. If an empty hive is stocked with a package of bees, it might be productive immediately. Soon, however, there will be a drop-off in production due to the time lag between the placement of the package of workers in the hive and the time that a new generation of worker bees is hatched and matured to the point of leaving the hive to collect nectar, pollen, and water. Even if the new queen begins laying fertilized eggs immediately upon her placement in the empty hive, it will take 21–25 days before worker bees hatch. If a hive in Oregon or Washington is stocked with packaged bees in mid-April, it probably will not produce surplus honey until the following year.
...
The average annual rate of winter mortality over 2007–2011 was 33 percent. A reasonable assessment derived from beekeeper surveys is that since the appearance of CCD, mortality rates have at least doubled. Mortality represents an outflow from the population of bees, while the re-queening and splitting of hives and the creation of new colonies represents an inflow. The net result is the observed change in colony numbers.

Estimates of honey bee colony numbers can be obtained from annual surveys of beekeepers conducted by the USDA. Data from these surveys are generally available back to 1939. A prominent feature of the estimates of colony numbers ... is their substantial decline since the mid-20th century. Particularly notable is the gap and abrupt drop in the early- to mid-1980s.... The abrupt drop is the result of a change in 1986 in the data collection procedures used by the USDA....

... Between 2006 and 2007 ... CCD might have had its first impacts. Colony numbers reveal no notable decrease in the years since the onset of CCD. In fact, there were more colonies in 2009 than there were in 2006 (or any other year since 1999). Given that an average of one-third of the honey bee colonies in the United States have died in each of the four winters since the onset of CCD, how can this be? Perhaps it is because beekeepers have always lost hives during the winter. Sustainable and profitable commercial beekeeping requires them to replace dead and weak colonies using the methods described above.

Since the onset of CCD, beekeepers have had to replace more hives to maintain their colony numbers, and the evidence suggests they have done exactly that.
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Beekeepers supply the services of bees for two commercial purposes: to provide pollination for farmers and to produce honey. Bee disease that increases the costs of beekeeping should increase the price of the industry’s outputs. Honey is traded internationally; and domestic honey price effects seem less likely than do price effects on pollination services. To look for evidence of increased pollination fees due to Colony Collapse Disorder, consider data from a survey [of almond and apple pollination fees] administered by Michael Burgett of Oregon State University.
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Almond fees rose from $59 to $89 between 2004 and 2005, and increased again to nearly $140 in inflation-adjusted terms for the years 2006, 2007, 2008, and 2009. It is tempting to attribute these fees to Colony Collapse Disorder—and CCD may be partly to blame—but the timing is not right. The first reported instance of CCD was during the winter of 2006–2007, which could only have affected fees beginning in spring 2007.
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Surveys of California beekeepers conducted by the California State Beekeepers’ Association since 1996 (see Rucker, Thurman, and Burgett 2011 for a statistical analysis of these data sources). They estimate there to be no CCD effect on non-almond pollination fees and $20 of the recent increase in almond fees.
...
Recent almond fees are near $140, so that the implied almond fee had CCD not arisen is $140 - $20 = $120. The implied percentage increase in almond fees due to CCD is then (20/120) × 100 = 16.7%. Further, with a pollination fee for almonds of $120 per colony and a stocking density of two colonies per acre, the cost per acre of pollinating almonds is 2 × $120 = $240. Suppose, as recent industry data suggest, that the yield of almonds is 2,000 pounds per acre and that the farm-gate price of almonds is $2 per pound. Then revenue per acre is 2,000 × $2 = $4,000 and the cost share of pollination in almonds is $240/$4,000 = 0.06 or 6%.

Next, suppose that Smokehouse® Almonds sell for $7 per pound at the retail level and that one pound requires 1.429 pounds of raw almonds (the rate of conversion from at-the-farm and in-the-shell almonds to retail shelled almonds). Then the cost share of farm almonds in the production of Smokehouse® Almonds is (1.429 × $2)/$7 = 0.41.22 Thus, the cost share of pollination services in retail Smokehouse® Almonds is 0.06 × 0.41 = 0.025 or 2.5 percent.

The stipulated 16.7 percent increase in almond pollination fees due to CCD therefore causes the cost of Smokehouse® Almonds to increase by a proportion of 0.167 × 0.025 = 0.004. Four-tenths of one percent of the $7/lb cost of Smokehouse® Almonds is 2.8¢, the implied increase in the shelf price of the can of almonds.... Given the relatively high cost share of pollination at the farm level, the calculation provides something of an upper bound on what one would find for other commodities and products. Against the backdrop of other sources of food price variation, it is no wonder that evidence of CCD at the grocery store has failed to materialize.
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Concluding that CCD has had little effect on consumers does not imply that its effects are of no concern to beekeepers.... Responses to questions in the PNW survey about replacement methods indicate that beekeepers used the method of splitting hives for almost 80 percent of the colonies replaced.... Suppose a beekeeper inspects his hives and finds that 100 of them are dead. To replace them, he must purchase 100 queens to place with the new splits produced from the healthy parent colonies. Recent advertisements in the American Bee Journal suggest these will cost about $15 each. In addition, about 20 minutes of labor will be required per colony to remove the four or five frames of brood, bees, and honey stores from the parent colony to stock the nuc colony. If labor costs are assumed to be $12 per hour, the labor cost per colony is $4 and the total cost of each split is $15 + $4 = $19.23

Burgett, Rucker, and Thurman (2009) estimate that PNW winter mortality rates increased from about 14 percent prior to the appearance of CCD to roughly 30 percent over the winter of 2007–08. Thus, assuming that CCD is responsible for all of this 16 percentage point difference, about half the colony mortality in the 2007–08 winter is attributable to CCD. The beekeepers who responded to the survey owned 62,100 out of the USDA’s estimated 90,000 colonies in the PNW. Assuming that the beekeepers responding to the survey are representative of the non-responding PNW beekeepers, the demise of about 14,400 (= 90,000 x 0.16) colonies in the PNW was due to CCD. The 25 beekeepers who responded to the 2008 PNW survey owned a total of 62,100 colonies as of Oct.1, 2007, or an average of 2,484 colonies each. Assuming these beekeepers lost 16 percent of their bees to CCD on average, the estimated CCD cost per beekeeper was 0.16 × 2,484 × $19 = $7,551. Offsetting these increased costs are increased beekeeper revenues from higher almond pollination fees, and 72 percent of the colonies in the 2008 survey were rented out for almond pollination.

If, as in the previous section, we take the almond fee increase due to CCD to be $20, then the average PNW beekeeper with 2,484 colonies, who uses 72 percent of them (0.72 × 2,484 = 1,788) to pollinate almonds, gains an increase in revenue of 1,788 × $20 = $35,760. The change in net revenue is $35,760 - $7,079 = $28,681, implying that beekeepers benefit.

by Wally Thurman 1 and Randy Rucker 2
1. Professor of agricultural and resource economics at North Carolina State University and PERC senior fellow
2. Professor of agricultural and resource economics at Montana State University and PERC 2011 Lone Mountain Fellow.
PERC the Property and Environment Research Center www.PERC.org is dedicated to improving environmental quality through property rights and markets. 2048 Analysis Drive Suite A; Bozeman Montana 59718; Tel: 406.587.9591; Email: perc@perc.org
January 17, 2012

A methodology to optimally site and design municipal solid waste transfer stations using binary programming

http://www.sciencedirect.com/science/article/pii/S0921344911002515
Abstract: Mathematical programming has been often used to optimize municipal solid waste management and transfer systems. The objective of this work was to develop a practical methodology to aid in the optimal design of a solid waste collection network in regions with well-specified boundaries. The objective function was a non-linear equation that minimized total collection cost. The cost comprised the capital and operating costs of: (i) the waste transfer stations, (ii) the waste collection vehicles, (iii) the semitrailers and tractors as well as the waste collection within a community, and the cost to haul the wastes to the transfer stations or to the landfills. The adjustable (decision) variables were binary variables that designated whether a path between two nodes is valid or not. Binary variables were also used to designate whether a transfer station should be constructed or not. In this methodology, the waste production nodes and their waste production rates were specified. The locations of all candidate waste transfer stations were designated using two alternative GIS-based siting methodologies; the locations of the final nodes (landfills) were precisely specified too. The actual travel distances and times among all nodes were the main input variables. The model was developed in an Excel® spreadsheet and was applied to a Hellenic region that has 53 municipalities. The candidate transfer stations sited in the region were 47 and one or two landfills were present in the system. The optimal solution suggested that 47 and 6 municipalities should direct their wastes to 12 transfer stations and to 2 landfills, respectively. The 12 transfer stations should then transfer their wastes to their adjacent landfills. The optimal collection cost was €42.4 t−1. A sensitivity analysis concluded that fuel cost was the most sensitive parameter in the model.

Highlights:
► We allocated the maximum number of candidate waste transfer stations using GIS.
► Two different waste transfer station siting approaches were adopted.
► We applied mathematical optimization to minimize total haul cost of the system.
► The non-linear optimization model was developed in a spreadsheet format.
► Results calculated optimum paths among all nodes and designed the transfer stations.

by Constantinos Chatzouridis 1 and Dimitrios Komilis, both of the Laboratory of Solid and Hazardous Waste Management, Dept. of Environmental Engineering, Democritus University of Thrace, Xanthi 671 00, Greece; Tel.: +30 25410 79391; fax: +30 25410 79391.
Resources, Conservation and Recycling
Volume 60, March, 2012, Pages 89–98
Keywords: Binary programming; Collection; Municipal solid wastes; Mathematical optimization; Waste transfer stations; Cost minimization

Electricity generation from the first wind farm situated at Ras Ghareb, Egypt

http://www.sciencedirect.com/science/article/pii/S1364032111005855
Abstract:
Egypt is one of the Red Sea and Mediterranean countries having windy enough areas, in particular along the coasts. The coastal location Ras Ghareb on the Red Sea has been investigated in order to know the wind power density available for electricity generation. To account for the wind potential variations with height, a new simple estimating procedure was introduced. This study has explicitly demonstrated the presence of high wind power density nearly 900 kW/m2 per year at 100 m of altitude for this region. Indeed, the seasonal wind powers available are comparable to and sometimes higher than the power density in many European cities for wind electricity applications like Vindeby (Denmark) and also America.

New technical analysis for wind turbine characteristics have been made using three types of commercial wind turbines possessing the same rotor diameter and rated power to choice the best wind machine suitable for Ras Ghareb station. As per the decreasing the cut-in wind speed for the wind turbine used, the availability factor increases for a given generator. That it could produce more energy output throughout the year for the location.

The aim of this research, was to predict the electrical energy production with the cost analysis of a wind farm 150 MW total power installed at Ras Ghareb area using 100 wind turbines model (Repower MD 77) with 1.5 MW rated power. Additionally, this paper developed the methodology for estimating the price of each kWh electricity from the wind farms. Results show that this wind park will produce maximum energy of 716 GWh/year. The expected specific cost equal to 1.5 € cent/kWh is still less than and very competitive price with that produced from the wind farms in Great Britain and Germany and at the international markets of wind power. The important result derived from this study encourages several wind parks with hundreds of megawatts can be constructed at Ras Ghareb region.

by Ahmed Shata Ahmed; Physics Department, Faculty of Science, Port Said University, Egypt
Renewable and Sustainable Energy Reviews via Elsevier Science Direct www.ScienceDirect.com
Volume 16, Issue 3; April, 2012; Pages 1630–1635
Keywords: Wind power density; Availability factor; Generation cost of electricity