paper-with-me

Papers

How flexible do we need to be? Using electricity systems models to identify optimal designs for flexible carbon capture storage system for gas-fired power plants

2025-06-23 · Fangwei Cheng, Qian Luo, Jesse Jenkins

As the share of variable renewable energy in power systems grows, enhancing the operational flexibility of combined cycle gas turbines with carbon capture and storage (CCGT-CCS) becomes increasingly valuable. This study integrates techno-economic analysis with capacity expansion modeling to quantify the value of improved CCGT-CCS flexibility-such as lower start-up costs, reduced minimum generation, faster ramping, and shorter up/down times-at both plant and system levels. Using the Texas power system as a case study, we find that increased flexibility raises CCGT-CCS generation profits and installed capacity. Under various policy scenarios, CCGT-CCS benefits most from a CO2 tax (or equivalent emissions cap), more so than from clean energy standards or capture subsidies like the federal 45Q tax credit. However, electricity system cost savings remain modest, reducing total costs by only 0.3-0.5%. Thus, flexibility improvements should be pursued only if they entail limited increases in capital and maintenance costs.

📄 PDF Abstract BibTeX arXiv:2506.18626

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Optimal Operation of a Tidal Lagoon as a Flexible Source of Electricity

2022-09-27 · Tong Zhang, Christopher Williams, Reza Ahmadian, Meysam Qadrdan

As the demand for electricity and the need for power systems flexibility grow, it is crucial to exploit more reliable and clean sources of energy to produce electricity when needed most. Tidal lagoons generate renewable …

Pareto local search for a multi-objective demand response problem in residential areas with heat pumps and electric vehicles

2024-07-16 · Thomas Dengiz, Andrea Raith, Max Kleinebrahm, Jonathan Vogl 외

In future energy systems characterized by significant shares of fluctuating renewable energy sources, there is a need for a fundamental change in electricity consumption. The energy system requires the ability to adapt t…

Evolutionary AlgorithmsHeuristic Searchreinforcement-learningReinforcement Learning

PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems

2026-07-29 · Kaiwen Jiang, Siya Xu, Ziyue Zhu, Chao Yang 외 arxiv

The rapid growth of AI workloads is turning data centers into large-scale, volatile, yet spatiotemporally flexible grid loads, creating an urgent need for coordinated electricity-computing scheduling. Under stringent gri…

How flexible electrification can integrate fluctuating renewables

2023-01-26 · Leonard Göke, Jens Weibezahn, Mario Kendziorski

To phase-out fossil fuels, energy systems must shift to renewable electricity as the main source of primary energy. In this paper, we analyze how electrification can support the integration of fluctuating renewables, lik…

Optimal Scheduling of Flexible Power-to-X Technologies in the Day-ahead Electricity Market

2021-10-19 · Neeraj Dhanraj Bokde, Tim T Pedersen, Gorm Bruun Andresen

The ambitious CO2 emission targets of the Paris agreements are achievable only with renewable energy, CO2-free power generation, new policies, and planning. The main motivation of this paper is that future green fuels fr…

Scheduling