Optimal Allocation of Renewable Energy Parks: A Two–stage Optimization Model

Abstract

RésuméLa recherche appliquée enénergies renouvelables soulève des défis complexes de nature technologique, economique ou politique. Dans cet article, nous adressons le problème technico-économique de sélection optimale d'emplacements de parcséoliens et solaires en Egypte, de telle sorte que la demande enélectricité soit satisfaiteà coût minimum. Ultimement, notre objectif est de construire un outil d'aideà la décision qui va pourvoir aux investisseurs privés et gouvernementaux, une aide précieuse pour prendre des décisionsà court et long terme relativementà la création de tels parcs. Les approches existantes raisonnent essentiellementà partir de données passées. Dans cet article, nous introduisons une nouvelle approche qui considèreà la fois les données passées et futures, et montrons l'impact de la prise en compte des deux types de données dans une modèle d'optimisation en deux temps. Nous montrons que la Programmation Linéaire par Entiers est une mé-thode efficace pour résoudre le problème avec des données passées ainsi que le modèle en deux temps qui prend en compte les données prédites, rajoutant de nouvelles contraintes au modèle initial. Notreévaluation montre que le modèle en deux temps améliore la solution avec une vision plus globale et un meilleur coût total.

Development of an inexact risk-aversion optimization model for regional carbon constrained electricity system planning under uncertainty

“…For example, Sampaio et al [12] proposed a multi-objective goal programming optimization model for electric system expansion analysis in a tropical city with economic and environmental goals. Gervet and Atef [13] advanced a two-stage integer linear programming for renewable energy parks management in Egypt, where and the forecasted http://dx.doi.org/10.1016/j.enconman.2015.01.050 0196-8904/Ó 2015 Elsevier Ltd. All rights reserved. electricity demand and different technologies cost were provided as detail input information during planning horizon.…”

Computational Constraint Models for Decision Support and Holistic Solution Design

“…Let us illustrate the methodology with an example we investigated: the issue of techno-economics of renewable energy parks implantation [9]. Applied research in in this field raises complex challenges of a technological, environmental, social, economic and political nature.…”

“…Even though this was a national project, it involved international technologies in Concentrated Solar Power (CSP), photovoltaic systems, wind turbines designs, as well as investments and planning. Under an Egyptian funding, the authors of [9] built a prototype tool based on constraint technology, that served as much as a communication tool between the parties involved, as a simulation tool for the potential actors to evaluate the impact and effectiveness of their choices. The computational model specified the rules and conditions that must hold on the environmental, energetic, and economic levels, and the objective functions to optimize.…”

“…The author in collaboration with the German University in Cairoand the NREA (New ad Renewable Authority in Egypt) studied this problem focussing on Egypt, where data and a govermental interested were provided [9]. Our goal was to build a decision support tool that will provide private and governmental investors into renewable energy systems, valuable insights to make informed short and longer term decisions with respect to the creation and placements of solar and wind turbine parks in Egypt.…”

Towards Robust Scenarios of Spatio-Temporal Renewable Energy Planning: A GIS-RO Approach

“…This systemic approach gives a significant insight into the potential contribution of RE sources [12,11], but does not aim at identifying physical parcel locations. Similarly [22] addresses the resource management problem as a knapsack problem, that shows the suitability of linear programming to select among experts' given parcels, the ones with highest resource potential. It does not consider the hourly temporal patterns of the different sites and their projected uncertainty, the possibility to consider a fraction of a given parcel, nor the impact of geographical restrictions and distances, and the complexity of the associated technical costs.…”