biomass industry spending pat from JEDI/NREL

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    IMPLAN Support
    Hello Bill, The NREL data are in $ per MW. So we came up with those dollar values by multiplying the number of [u]known[/u] MW by the value associated to the dollar amount. Let us know if you have any further questions.
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    twlester
    Hi, Thanks for helping with this. Somehow, I'm still not seeing the numbers line up. When I use the NREL Wind Model (version 10.03) and input 5MW using Minnesota as the input state (which I assumed you would have done). I get the following Operations Cost data. Wind Farm Annual Operating and Maintenance Costs Please review O&M Materials & Services parameters; Cost costs may be below industry standards.** Cost Per KW Labor Personnel Field Salaries $17,523 $3.50 Administrative $1,994 $0.40 Management $8,310 $1.66 Labor/Personnel Subtotal $27,828 $5.57 Materials and Services Vehicles $2,062 $0.41 Site Maint/Misc. Services $804 $0.16 Fees, Permits, Licenses $402 $0.08 Utilities $1,608 $0.32 Insurance $15,463 $3.09 Fuel (motor vehicle gasoline) $804 $0.16 Consumables/Tools and Misc. $5,227 $1.05 Replacement Parts/etc. $45,802 $9.16 Mat. & Svs Subtotal $72,172 $14.43 Total O&M Cost $100,000 $20.00 (Hope this table came through I'm attaching an Excel file anyway). However, I don't see how these number add up to the ones in Table C-1. For example the total employee compensation in C1 was over 446,000, while here it is more like $27,828. Also, how did you come up with the total output figure in C-1 of 32.9M? I can see you need this to back out Value Added and taxes. Any additional help is appreciated. One last question on doing this as "analysis by parts". If I succeed in building a customized industry for biomass fired electrical plant, how will IMPLAN know what commodity this customized industry produces (electricity) and then allocate electricity sales to this plant from other users in the region (thus accounting for the import sub effects from not using fossil fuel based electricity?). Thank you very much.
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    IMPLAN Support
    Hi Bill, To make the numbers line up, leave the Summary sheet on the default downloaded for CO, 100 MW. To make the numbers realistic for one megawatt wind power, divide by 100. In case you didn't, see this post it may help you with the [url=http://implan.com/V4/index.php?option=com_kunena&func=view&catid=84&id=14272&limit=6&limitstart=6&Itemid=35#14327]Value Added calculation[/url]. In regards to your last question, the model has no way of working with forward linkages like electricity sales shifting from one energy producer to another. If you have some information on how the usages of fossil fuels will decrease and if those fossil fuels are produced in your study area, you can certainly estimate a negative impact to those production Sectors based on what you expect the reduction of spending on fossil fuels to be. Alternatively, if they aren't produced within your region but you have some estimate of reduced fossil fuel production, you could certainly model the impacts of loss to transportation and wholesale for those fossil fuels buy applying [url=https://implan.com/v4/index.php?option=com_multicategories&view=article&id=656:656&Itemid=71]Margins [/url]to the producing sector and zeroing out the producing and retail sectors.
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    twlester
    Hi, Thanks for your response. I followed your link, but still don't see how you calculated the value added for the new industry. Did you keep the same % value added as the IMPLAN electricity section (approx. 75%) or was it derived from the numbers in the NREL model? Thanks very much.
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    twlester
    Hi, I think I figured it out. Thanks very much. Bill
  • Avatar
    StevWeidlich
    Sorry for the "necropost" but I believe I'm stuck where Thomas Lester was stumped 3 years ago. While he figured it out, I have had no such luck. So, to reiterate the issue: I'm trying to recreate the ABP exercise found here: [url=http://staging.implan.com/index.php?option=com_content&view=article&id=730:case-study-analysis-by-parts&catid=264:KB43]Click here[/url] My question is with the values found in Table C1. Specifically, how did the IMPLAN people 1) identify the correct sectors in Table C1, and 2) how were the coefficients calculated based on information from the NREL model worksheets? For example, which tab of the NREL worksheet was used to find these numbers and calculate the coefficients? Thanks!
  • Avatar
    IMPLAN Support
    Hello, It looks like you have the 2014 data, which is great because this can actually save you the step if you like of having to custom create that spending pattern. The 536 Sectoring schemes include a biomass Sector. You can import this through the Activity Options>Import> Industry Spending Pattern, if you want to break it down further. Even if you are trying to modify it to be closer to one of the more specific biomass patterns, this may still be a good starting place. Specifically to your questions: 1. Sector identification was based on 'best guest' using the Sector Search feature. Please note too, those Sector are based on the 440 schema not the 536. This is one reason why using the biomass spending pattern as a starting point may prove to be helpful. (For editing purposes it may be easier to export it to Excel, manipulate it there and import the modified pattern). 2.The coefficients were created by dividing the value of each O&M Cost (Project Data tab) over total project cost. Total project cost is based on the materials and services cost and the following categories: Financing (debt payment) Equity Payment - Individuals Equity Payment - Corporate Property Taxes Land Lease These numbers were found in the calculations tab. Best regards, IMPLAN Group Staff

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