Power purchase agreements;
Markov chain Monte Carlo;
Stochastic forecast;
Renewable energy optimisation;
PROBABILISTIC FORECASTS;
SPEED;
RADIATION;
SYSTEM;
MODEL;
D O I:
10.1016/j.egyr.2022.11.175
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
Due to more affordable solar and wind power, and the European Union regulations for decarbonisation of the economy, more than 40% of the Fortune 500 companies have targets related to green energy. This is one of the main reasons why multi-technology Power-Purchase Agreements (PPAs) are becoming increasingly important. However, there are risks associated with the uncertainty and variable generation patterns in wind speed and solar radiation. Moreover, there are challenges to predict intermittent wind and solar generation for the forecasting horizon required by PPAs, which is usually of several years. We propose a long-term wind and solar energy generation forecasts suitable for PPAs with cost optimisation in energy generation scenarios. We use Markov Chain Monte Carlo simulations with suitable models of wind and solar generation and optimise long-term energy contracts with purchase of renewable energy.(c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
机构:
Univ Tunis El Manar, Ecole Natl Ingnieurs Tunis, Lab Mat Optimisat & Energie Durabilite, LR-11-ES16, Tunis 1002, TunisiaUniv Tunis El Manar, Ecole Natl Ingnieurs Tunis, Lab Mat Optimisat & Energie Durabilite, LR-11-ES16, Tunis 1002, Tunisia
Dhakouani, Asma
Gardumi, Francesco
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机构:
Royal Inst Technol, Div Energy Syst Anal, KTH, Brinellvagen 68, S-10044 Stockholm, SwedenUniv Tunis El Manar, Ecole Natl Ingnieurs Tunis, Lab Mat Optimisat & Energie Durabilite, LR-11-ES16, Tunis 1002, Tunisia
Gardumi, Francesco
Znouda, Essia
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机构:
Univ Tunis El Manar, Ecole Natl Ingnieurs Tunis, Lab Mat Optimisat & Energie Durabilite, LR-11-ES16, Tunis 1002, TunisiaUniv Tunis El Manar, Ecole Natl Ingnieurs Tunis, Lab Mat Optimisat & Energie Durabilite, LR-11-ES16, Tunis 1002, Tunisia
Znouda, Essia
Bouden, Chiheb
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机构:
Univ Tunis El Manar, Ecole Natl Ingnieurs Tunis, Lab Mat Optimisat & Energie Durabilite, LR-11-ES16, Tunis 1002, TunisiaUniv Tunis El Manar, Ecole Natl Ingnieurs Tunis, Lab Mat Optimisat & Energie Durabilite, LR-11-ES16, Tunis 1002, Tunisia
Bouden, Chiheb
Howells, Mark
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机构:
Royal Inst Technol, Div Energy Syst Anal, KTH, Brinellvagen 68, S-10044 Stockholm, SwedenUniv Tunis El Manar, Ecole Natl Ingnieurs Tunis, Lab Mat Optimisat & Energie Durabilite, LR-11-ES16, Tunis 1002, Tunisia
机构:
German Institute for Economic Research (DIW Berlin), Mohrenstrasse 58, BerlinGerman Institute for Economic Research (DIW Berlin), Mohrenstrasse 58, Berlin
Wolter S.
[J].
Current Sustainable/Renewable Energy Reports,
2016,
3
(1-2):
: 1
-
4
机构:
Univ Wollongong, Australian Power Qual & Reliabil Ctr, Wollongong, NSW 2522, AustraliaUniv Wollongong, Australian Power Qual & Reliabil Ctr, Wollongong, NSW 2522, Australia
Amarasekara, Kanchana
Meegahapola, Lasantha G.
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机构:
RMIT Univ, Sch Elect & Comp Engn, Melbourne, Vic 3001, AustraliaUniv Wollongong, Australian Power Qual & Reliabil Ctr, Wollongong, NSW 2522, Australia
Meegahapola, Lasantha G.
Agalgaonkar, Ashish P.
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h-index: 0
机构:
Univ Wollongong, Australian Power Qual & Reliabil Ctr, Wollongong, NSW 2522, AustraliaUniv Wollongong, Australian Power Qual & Reliabil Ctr, Wollongong, NSW 2522, Australia