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Tom Hewson takes a very comprehensive look at the development issues associated with the proposed Baileyville Wind Farm in Illinois.
Jon Boone is a intervenor in a Maryland Public Service Commission windpower case (No. 9008). On September 16, 2005, he formally submitted his direct testimony in this case. His testimony and attachments cover the gamut of issues surrounding the wind industry.
A. Under certain circumstances as described in my report, the negative impact may be similar. Also, in significant view loss situations, as described in my report, I would conclude that, within a reasonable degree of professional certainty, land values may be negatively impacted 17% - 20%.
Editor's Note: Mr. Zarem argues that the appropriate methodology for estimating the 'view' impact of industrial wind turbines on property values is 'paired data analysis'- defined in the The Dictionary of Real Estate Appraisal as: “A quantitative technique used to identify and measure adjustments to the sale prices or rents of comparable properties; to apply this technique, sales or rental data on nearly identical properties are analyzed to isolate a single characteristic’s effect on value or rent.” In the absence of relevant view/turbine data, he derived an alternative paired data analysis for determining view impacts on property values due to wind turbines from Transmission Line view impacts on the prices of single-family residential lots in subdivisions...as...sufficient paired data isolating the effects of view loss due to Transmission Lines exist in the marketplace to reach reasonable conclusions as to market tendencies. This data isolates impacts due to view loss associated with Transmission Lines.
Editor's Note: The authors’ conclusion regarding ‘effective capacity’, i.e. the measure of a generator’s contribution to system reliability that is tied to meeting peak loads, is that it “is difficult to generalize, as it is a highly site-specific quantity determined by the correlation between wind resource and load” and that ‘values range from 26 % to 0% of rated capacity.” This conclusion is based, in part, on a 2003 study by the California Energy Commission that estimated that three wind farm aggregates- Altamont, San Gorgonio and Tehachpi, which collectively represent 75% of California’s deployed wind capacity- had relative capacity credits of 26.0%, 23.9% and 22.0% respectively. It is noteworthy that during California’s Summer ’06 energy crunch, as has been widely publicized in the press, wind power produced at 254.6 MW (10.2% of wind’s rated capacity of 2,500MW) at the time of peak demand (on July 24th) and over the preceding seven days (July 17-23) produced at 89.4 to 113.0 MW, averaging only 99.1 MW at the time of peak demand or just 4% of rated capacity.
2. The DEIS conclusion of “no adverse impacts to tourism and recreation” is not supported by the data. a. The only tourism study considered in the DEIS, from Scotland, used a biased sample and does not report the most relevant results (i.e. how many would be deterred, or attracted, by the windmills). b. A Beacon Hill Institute survey of 497 randomly-selected tourists, undertaken in the relevant Cape Cod towns in summer of 2003, found that 5% would visit the Cape less, and 1% would visit more if the windmills were built. Using spending information, and an estimate of the number attracted to the Cape, the BHI study found a net loss in spending on the Cape of at least $57 million annually.
3. The DEIS conclusion that the project would not adversely affect property values is based on a flawed study, ignores other research, and is untenable. a. The DEIS discussion relies primarily on a study by the Renewable Energy Policy Project (whose goal is to “accelerate the use of renewable energy”) in 2003. Its conclusion that wind farms elsewhere in the United States did not harm property values relies on the use of an inappropriate counterfactual, and is largely based on much smaller projects. b. Even if wind farms are associated with higher property values, this is likely attributable to increased tax payments and royalties to local communities and owners – which makes them not comparable to the Cape Wind case (no royalties, minor local tax payments).
4. The DEIS estimates of the value of health improvements are greatly exaggerated (at $53 million annually). Our own estimates show health improvements of $7 million, and even this may be overstated. a. The DEIS assumes that the Cape Wind project would offset the dirtiest power plants in Massachusetts. This is incorrect, and it would be more appropriate to use the marginal emissions numbers from ISO-New England, which show avoided emissions that are one fifth as high for NOx and one seventh as high for SO2. b. The DEIS uses outdated emissions data (from 2000 rather than 2002). c. Even the $7 million may overstate the health benefits. BHI assumed that all of the output of the Cape Wind project would offset fossil fuel generation and its associated air pollution. However, it has been argued, convincingly, that the caps imposed by law and regulation on SO2 emissions would continue to be binding, and so the wind farm output would not lead to a reduction in SO2 emissions overall.