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1. WO2022002726 - METHOD FOR DETERMINING THE OPTIMAL MIX OF ENERGY FOR A HYBRID RENEWABLE ENERGY PRODUCTION SITE

Publication Number WO/2022/002726
Publication Date 06.01.2022
International Application No. PCT/EP2021/067191
International Filing Date 23.06.2021
IPC
G06Q 50/06 2012.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
50Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
06Electricity, gas or water supply
H02J 3/00 2006.1
HELECTRICITY
02GENERATION, CONVERSION, OR DISTRIBUTION OF ELECTRIC POWER
JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
3Circuit arrangements for ac mains or ac distribution networks
H02J 3/38 2006.1
HELECTRICITY
02GENERATION, CONVERSION, OR DISTRIBUTION OF ELECTRIC POWER
JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
3Circuit arrangements for ac mains or ac distribution networks
38Arrangements for parallelly feeding a single network by two or more generators, converters, or transformers
CPC
G06Q 50/06
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
50Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
06Electricity, gas or water supply
H02J 2203/20
HELECTRICITY
02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
2203Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
H02J 2300/20
HELECTRICITY
02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
2300Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
20The dispersed energy generation being of renewable origin
H02J 2300/22
HELECTRICITY
02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
2300Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
20The dispersed energy generation being of renewable origin
22The renewable source being solar energy
H02J 2300/24
HELECTRICITY
02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
2300Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
20The dispersed energy generation being of renewable origin
22The renewable source being solar energy
24of photovoltaic origin
H02J 2300/28
HELECTRICITY
02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
2300Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
20The dispersed energy generation being of renewable origin
28The renewable source being wind energy
Applicants
  • GENESIS [FR]/[FR]
Inventors
  • ALBERT, Laurent
Agents
  • GROTH & CO KB
Priority Data
20183008.029.06.2020EP
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) METHOD FOR DETERMINING THE OPTIMAL MIX OF ENERGY FOR A HYBRID RENEWABLE ENERGY PRODUCTION SITE
(FR) PROCÉDÉ DE DÉTERMINATION DU MÉLANGE OPTIMAL D'ÉNERGIE POUR UN SITE DE PRODUCTION D'ÉNERGIE RENOUVELABLE HYBRIDE
Abstract
(EN) The invention relates to a method for determining the optimal renewable energy production mix for a specific geographic location via simulation, comprising the steps of: - Collecting renewable energy resource data for the specific geographic location over a predetermined time period, wherein the renewable energy resource data comprises data such as wind speed and direction, significant wave height and incoming wave direction, solar hours, solar irradiation, heat and/or pressure of geothermal wells or any other relevant renewable energy resource data; - Calculating power curves and matrices for at least two renewable energy technologies based on the collected renewable energy resource data; - Estimating the potential of generated electric power over time of the at least two renewable energy technologies based on the calculated power curves and matrices, the time period and the characteristic parameters of each of the at least two renewable energy technologies; and - Simulating different base load and power variations based on the estimation of the potential generated electric power and different distribution of the electric power generation of the at least two renewable energy technologies; - Identifying an optimal distribution of the at least two renewable energy technologies by analysing the base load and power variations for each simulation and choosing the distribution of the electric power generation with the highest base load and lowest power variation.
(FR) L'invention concerne un procédé de détermination du mélange de production d'énergie renouvelable optimal pour un emplacement géographique spécifique par simulation, comprenant les étapes suivantes : - collecter des données de ressources d'énergie renouvelable pour l'emplacement géographique spécifique sur une période de temps prédéterminée, les données de ressources d'énergie renouvelable comprenant des données telles que la vitesse et la direction du vent, la hauteur d'onde significative et la direction d'onde entrante, les heures solaires, l'irradiation solaire, la chaleur et/ou la pression de puits géothermiques ou toute autre donnée de ressource d'énergie renouvelable appropriée ; - calculer des courbes et des matrices de puissance pour au moins deux technologies d'énergie renouvelable sur la base des données de ressources d'énergie renouvelable collectées ; - estimer le potentiel de la puissance électrique générée au cours du temps des deux technologies d'énergie renouvelable ou plus sur la base des courbes et des matrices de puissance calculées, de la période de temps et des paramètres caractéristiques de chacune des deux technologies d'énergie renouvelable ; et - simuler différentes variations de charge et de puissance de base sur la base de l'estimation de la puissance électrique générée potentielle et de la distribution différente de la génération de puissance électrique des deux technologies d'énergie renouvelable ou plus ; - identifier une distribution optimale des deux technologies d'énergie renouvelable ou plus par analyse de la charge de base et des variations de puissance pour chaque simulation et choisir la distribution de la génération de puissance électrique ayant la charge de base la plus élevée et la variation de puissance la plus faible.
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