My paper, A Financial Algorithm for Computing the Levelized Cost (US$/MWh; €/MWh) of Storing Wind Electricity (LCOS), was presented at WindPower 2018, 7-10 May, Chicago.
I appreciate those of you who attended my Poster Presentation.
You can still set up an appointment. http://goo.gl/Dg35cs
Abstract — This paper discusses the financial and technical principles underlying the levelized cost (LC) method of computing the cost of storing wind electricity (LCOS). The paper presents a CL algorithm. The algorithm equations are presented. The algorithm uses nine recognized energy storage system (ESS) specifications (specs) to compute the levelized cost of the stored Wind electricity. Published specs for the Eos Aurora® and Cabin Creek Pumped Storage ESS are used in case studies to demonstrate the algorithm. Other case studies are provided. For rapid computation, an Excel worksheet is provided. The goal of this paper is to present a standard computational algorithm for financial analysts to use. A financial analyst can do a LC computation based on the paper’s LCOS algorithm and on the algorithm’s nine ESS specs. The paper’s LCOS algorithm gives the analyst who has the nine ESS spec values, a quick “back of the envelope” verification of a developer’s (utility-scale), manufacturer’s (C & I; residential), or researcher’s (prototype) value for the levelized cost ($/MWh; €/MWh) of the stored electricity (LCOS).
Your kind of research paper for your kind of town.
Download my WindPower 2018 Paper Below
Below are my WindPower 2018 Paper, three worksheets (1. page 14,Table I Worksheet, 2. ESS Comparison Worksheet, 3. Inflation Adjustment Worksheet, page 20, Table III) and, of course, my WindPower 2018 Poster. All these documents are PDF of Version 1.5.
Take the poster PDF to your printer and they can make a full sized poster (55.1" X 35.4"). You can print an 8.5" X 11" version on your office printer. My poster is suitable for your home or office wall or for your (grand) children's bedroom wall.
My WindPower 2018 LCOS Excel Workbook with three worksheets is available for purchase below.
Alternatively, you can make your own LCOS Excel worksheets using the Excel financial functions and the algorithm equations in my paper's Table II.
For just US$50, you will get my 2018 LCOS Excel Workbook with these three worksheets:
- this paper's page 14, Table I Worksheet
- the ESS Comparison Worksheet that directly computes ESS differences. I used this "behind the paper" Excel Worksheet to compute the differences reported in my paper.
- this paper's Inflation Adjustment Worksheet, page 20, Table III
Post WindPower 2018 Special Offer
For just US$150, you will get my Excel Workbook with three worksheets plus a one hour consultation with me (a US$200 value) to discuss my WindPower 2018 LCOS paper, poster and Excel Workbook. At your appointment, I can discuss both my WindPower 2018 LCOS paper and the competing newer Lazard LCOS paper. My first LCOS paper was, A Financial Worksheet for Computing the Levelized Cost of Wind Electricity (US$/MWh; Euro/MWh) in a Hydrogen Storage System, WindPower 2003, 18-21 May, Austin, TX.
Just downloading the PDF of my Journal of Solar Energy Engineering (JSEE) paper, A Financial Worksheet for Computing the Levelized Cost of Solar Electricity Generated at a Grid Connected PV Generating Plant (LCOE), August 2002, Vol 124, Page 319 will cost you US$25. https://goo.gl/spQ9aa At your appointment, I can also discuss both my 2002 JSEE LCOE paper and the newer competing Lazard LCOE paper.
HOW TO ORDER
At Michael@michaelstavy.com email your "purchase order" to me and I will send you a PayPal invoice. See All my Client Invoices are now Sent Through PayPal . After you pay me through PayPal (by using your PayPal account or by using a credit card), I will email to you my WindPower 2018 LCOS Excel Workbook with three worksheets.
If you decided to use my Post WindPower 2018 Special Offer (and tell me, how can you refuse such a great deal?), I will contact you to arrange a time and place (Skype? Chicago? Denver? Georgetown, CO?) for us to work together.
WindPower 2013 and Marina Towers (my home)