Abstract

Utility-scale hybrid wind–solar PV power plants (which might include some storage as well) are an attractive option for the transition of conventional grids to incorporate high renewable energy (RE) shares. Along with lower generation costs, they offer increased dispatch capabilities and flexible operation. However, when assessing their potential, they present higher needs in terms of input data, as they are forced to consider both spatial and temporal variations to evaluate their techno-economic viability, as well as other common inputs such as economic, social or environmental data. The availability of the different data influences the type of analysis to be implemented. The microgrid approach of segmenting the information into layers will be adopted for the classification of data. Three different levels of analysis are sought: long-term energy scenarios, geo-spatial planning, and production cost estimation. The analysis of necessary data for each planning stage, and the available data sources for the assessment of utility-scale hybrid power plants, under this microgrid approach, is the main focus of this review.

Highlights

  • Most countries in the world are envisioning a transformation of their respective energy systems into those with a high renewable energy (RE) share

  • The aforementioned Climate Monitoring Satellite Application Facility (CM SAF): this is a collaborative alliance between a various European meteorological services to use the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) satellite data to produce a large number of climatic datasets

  • The hybrid wind-solar PV power plant (HPP) have been considered as a special type of MG

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Summary

Introduction

Most countries in the world are envisioning a transformation of their respective energy systems into those with a high renewable energy (RE) share. Infrastructure layers structure shown into Figure was proposed( forcalled interoperab This view leads to the one proposed by the International Renewable Energy Associadaptations proposed: issues related withplanning the design ofwith the different plant are considere ation (IRENA)are mentioning “four categories of major steps time part of the Businessexpansion layer; and issuesgeo-spatial related with the site conditions Roads, airports, rivers, etc.) are considered to be part of the Infrastructure This view leads to the one proposed by the International Renewable Energy A ciation (IRENA) mentioning “four categories of major planning steps with different horizons: generation expansion planning; geo-spatial planning; dispatch planning; technical network studies” (subdivided into static and dynamic grid models); Figu summarizes how these steps interact [12].

Analyses for system energy system planning with feedback
Data Structure in TIMES Model
Diagram
Data in Geo-Spatial Models
Data Layers in GIS Models
Data in Production Cost Models
Data Layers for the Production Cost Level
Available Sources of Information for the Identified Data
Sources for Long-Term Energy Models
Existing Atlases
Reanalysis Datasets from Satellite Observations
Business Layer
Infrastructure and Site Conditions Layer
Findings
Conclusions
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