Generation Expansion Planning Model Towards Decarbonization: Assessing the Dunkelflaute

Generation expansion planning is crucial for achieving net-zero emissions, involving decommissioning fossil-fuel units and replacing them with renewable energy and storage systems. Determining the optimal resource mix to maintain network reliability and cost-effectiveness is complex, particularly during periods of low renewable output due to weather variability. This paper explores the required capacity of renewable and storage resources for an isolated grid in long-term planning, focusing on integrating intermittent and limited resources to meet network constraints. The study also examines the impact of Dunkelflaute events on capacity planning and demonstrates how a balanced mix of variable renewable energy can mitigate network challenges. Using a modified IEEE-RTS system and realworld renewable data, the effectiveness of the proposed method is validated through extensive simulations. The results highlight the strategic importance of investing in renewable energy resources and storage to reduce costs and emphasize the role of storage in minimizing load shedding during periods of low wind and solar availability.

Authors

Institutions

Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/i-coste63786.2024.11024766
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generation Expansion Planning Model Towards Decarbonization: Assessing the Dunkelflaute

Taraneh Ghanbarzadeh, Asma Aziz, Muslem Uddin, Daryoush Habibi
Integrated Energy Systems Optimization
article

Generation Expansion Planning Model Towards Decarbonization: Assessing the Dunkelflaute

Taraneh Ghanbarzadeh, Asma Aziz, Muslem Uddin, Daryoush Habibi
article en

Abstract

Generation expansion planning is crucial for achieving net-zero emissions, involving decommissioning fossil-fuel units and replacing them with renewable energy and storage systems. Determining the optimal resource mix to maintain network reliability and cost-effectiveness is complex, particularly during periods of low renewable output due to weather variability. This paper explores the required capacity of renewable and storage resources for an isolated grid in long-term planning, focusing on integrating intermittent and limited resources to meet network constraints. The study also examines the impact of Dunkelflaute events on capacity planning and demonstrates how a balanced mix of variable renewable energy can mitigate network challenges. Using a modified IEEE-RTS system and realworld renewable data, the effectiveness of the proposed method is validated through extensive simulations. The results highlight the strategic importance of investing in renewable energy resources and storage to reduce costs and emphasize the role of storage in minimizing load shedding during periods of low wind and solar availability.

Edith Cowan University (AU), Commonwealth Scientific and Industrial Research Organisation (AU)
Climate action
Openalex Percentile: Top 72%
Integrated Energy Systems Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Generation Expansion Planning Model Towards Decarbonization: Assessing the Dunkelflaute — Taraneh Ghanbarzadeh, Asma Aziz, et al. · (2024) | TGRS Research Map | TGRS