Renewable Energy Assessment Methodology for Japanese OCONUS Army Installations | |
Solana, Amy E. ; Horner, Jacob A. ; Russo, Bryan J. ; Gorrissen, Willy J. ; Kora, Angela R. ; Weimar, Mark R. ; Hand, James R. ; Orrell, Alice C. ; Williamson, Jennifer L. | |
关键词: BIOMASS; GROUND SOURCE HEAT PUMPS; IMPLEMENTATION; MANAGEMENT; PERSONNEL; SECURITY Japan; renewable energy; methodology; | |
DOI : 10.2172/1000170 RP-ID : PNNL-19708 PID : OSTI ID: 1000170 Others : Other: 400403209 Others : TRN: US201101%%279 |
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美国|英语 | |
来源: SciTech Connect | |
【 摘 要 】
Since 2005, Pacific Northwest National Laboratory (PNNL) has been asked by Installation Management Command (IMCOM) to conduct strategic assessments at selected US Army installations of the potential use of renewable energy resources, including solar, wind, geothermal, biomass, waste, and ground source heat pumps (GSHPs). IMCOM has the same economic, security, and legal drivers to develop alternative, renewable energy resources overseas as it has for installations located in the US. The approach for continental US (CONUS) studies has been to use known, US-based renewable resource characterizations and information sources coupled with local, site-specific sources and interviews. However, the extent to which this sort of data might be available for outside the continental US (OCONUS) sites was unknown. An assessment at Camp Zama, Japan was completed as a trial to test the applicability of the CONUS methodology at OCONUS installations. It was found that, with some help from Camp Zama personnel in translating and locating a few Japanese sources, there was relatively little difficulty in finding sources that should provide a solid basis for conducting an assessment of comparable depth to those conducted for US installations. Project implementation will likely be more of a challenge, but the feasibility analysis will be able to use the same basic steps, with some adjusted inputs, as PNNL???s established renewable resource assessment methodology.
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RO201704240001355LZ | 816KB | download |