IP Library Granted Patent US 8,527,398
Granted Patent B2
US 8,527,398 · App. 13/619,627 · Granted Sep 3, 2013

Method and system for predicting solar energy production

Inventor: James M. Bing (Concord, MA)
Assignee: NEO Virtus Engineering, Inc.
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Quick Facts
Patent No.
US 8,527,398
App. No.
13/619,627
Granted
Sep 3, 2013
Kind
B2
Abstract

A method for hedging energy sales or purchases in a short-term future or day-ahead market includes determining an historical performance of a regional net energy forecasting methodology for a facility or facilities which have solar energy generating systems in a geographical region. The method further includes estimating a difference between the maximum cost of energy in a spot market and an energy trader's minimum price of energy for each hour bid in the short-term future or day-ahead market, determining a risk factor associated with energy sales or purchases from the historical performance and the estimated difference, and purchasing or selling options to buy energy at the previous day's day-ahead market price based on the determined risk factor.

Claims (10)

1. A method for hedging energy sales or purchases in a a short-term future or day-ahead market against shortfalls in a spot market, comprising:

determining on a computer processor an historical accuracy of a regional net energy forecasting methodology for a facility or facilities which have solar energy generating systems in a geographical region;

estimating a difference between the maximum cost of energy in a future spot market and an energy trader's price of energy for each hour during a current day-ahead market;

determining a risk factor associated with energy sales and purchases from the determined historical performance and the estimated difference between the maximum cost of energy and the energy trader's price of energy; and

purchasing options to buy or sell energy based on the determined risk.

2. A method for hedging energy sales or purchases in a short-term future or day-ahead market, the method comprising:

determining on a computer processor an historical accuracy of a regional net energy forecasting methodology for a facility or facilities which have solar energy generating systems in a geographical region;

estimating a difference between the maximum cost of energy in a spot market and an energy trader's minimum price of energy for each hour bid in the short-term future or day-ahead market;

determining a risk factor associated with energy sales or purchases from the determined historical performance and the estimated difference; and

purchasing or selling options to buy energy at the previous day's day-ahead market price based on the determined risk factor.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 13, 2013
From: BING, JAMES M.
To: NEW ENERGY OPTIONS, INC.
Reel/Frame 029804/0419 →
CHANGE OF NAME Recorded Feb 13, 2013
From: NEW ENERGY OPTIONS, INC.
To: NEO VIRTUS ENGINEERING, INC.
Reel/Frame 029809/0495 →
Continuity (6)
Division 12459455 · Jul 1, 2009
Division 10922253 · Aug 19, 2004
Provisional Application 60523074 · Nov 18, 2003
Provisional Application 60507899 · Oct 1, 2003
Provisional Application 60496411 · Aug 20, 2003
Related Publication 20130013486A1 · Jan 10, 2013