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Title: Automated solar collector installation design including ability to define heterogeneous design preferences

Abstract

Embodiments may include systems and methods to create and edit a representation of a worksite, to create various data objects, to classify such objects as various types of pre-defined "features" with attendant properties and layout constraints. As part of or in addition to classification, an embodiment may include systems and methods to create, associate, and edit intrinsic and extrinsic properties to these objects. A design engine may apply of design rules to the features described above to generate one or more solar collectors installation design alternatives, including generation of on-screen and/or paper representations of the physical layout or arrangement of the one or more design alternatives. Embodiments may also include definition of one or more design apertures, each of which may correspond to boundaries in which solar collector layouts should comply with distinct sets of user-defined design preferences. Distinct apertures may provide heterogeneous regions of collector layout according to the user-defined design preferences.

Inventors:
; ; ; ;
Issue Date:
Research Org.:
SunPower Corporation, San Jose, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1082872
Patent Number(s):
8352220
Application Number:
12/708,501
Assignee:
SunPower Corporation (San Jose, CA)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
F - MECHANICAL ENGINEERING F24 - HEATING F24S - SOLAR HEAT COLLECTORS
DOE Contract Number:  
FC36-07GO17043
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
14 SOLAR ENERGY

Citation Formats

Wayne, Gary, Frumkin, Alexander, Zaydman, Michael, Lehman, Scott, and Brenner, Jules. Automated solar collector installation design including ability to define heterogeneous design preferences. United States: N. p., 2013. Web.
Wayne, Gary, Frumkin, Alexander, Zaydman, Michael, Lehman, Scott, & Brenner, Jules. Automated solar collector installation design including ability to define heterogeneous design preferences. United States.
Wayne, Gary, Frumkin, Alexander, Zaydman, Michael, Lehman, Scott, and Brenner, Jules. Tue . "Automated solar collector installation design including ability to define heterogeneous design preferences". United States. https://www.osti.gov/servlets/purl/1082872.
@article{osti_1082872,
title = {Automated solar collector installation design including ability to define heterogeneous design preferences},
author = {Wayne, Gary and Frumkin, Alexander and Zaydman, Michael and Lehman, Scott and Brenner, Jules},
abstractNote = {Embodiments may include systems and methods to create and edit a representation of a worksite, to create various data objects, to classify such objects as various types of pre-defined "features" with attendant properties and layout constraints. As part of or in addition to classification, an embodiment may include systems and methods to create, associate, and edit intrinsic and extrinsic properties to these objects. A design engine may apply of design rules to the features described above to generate one or more solar collectors installation design alternatives, including generation of on-screen and/or paper representations of the physical layout or arrangement of the one or more design alternatives. Embodiments may also include definition of one or more design apertures, each of which may correspond to boundaries in which solar collector layouts should comply with distinct sets of user-defined design preferences. Distinct apertures may provide heterogeneous regions of collector layout according to the user-defined design preferences.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {1}
}

Works referenced in this record:

Versioning and configuration management in design using CAD and complex wrapped objects
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Configuration management in evolutionary engineering design using versioning and integrity constraints
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Artificial intelligence techniques for photovoltaic applications: A review
journal, October 2008