Open AccessSmarSolar : PV production forecast used by the Swiss team, winner of the U.S. Department of Energy Solar Decathlon competition 2017 Denver, Colorado
Author(s) -
Philippe Couty,
Christophe Arn
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1343/1/012091
Subject(s) - competition (biology) , photovoltaic system , service (business) , operations research , production (economics) , cloud computing , grid , engineering , solar energy , computer science , engineering management , environmental economics , business , marketing , economics , geography , electrical engineering , microeconomics , ecology , geodesy , biology , operating system
The article introduces the SmarSolar platform which merges customer management relations tools and Photovoltaic forecast services. We will present the modelling hypothesis as well as the validation of the model. The forecast service has been successfully used by the Swiss team in the Solar decathlon Competition US 2017 who won the competition. In a more general perspective, since all data and results are centralized in a database with cloud computing services, the platform can be used by installation owners to optimize their self-consumption as well as by electrical producers managing their park of PV installations and optimizing the grid load.