The Role of Nuclear Energy and Baseload Demand in Capacity Expansion Planning for Low-Carbon Power Systems DOI
Martin Hjelmeland, Jonas Kristiansen Nøland, Stian Backe

et al.

Published: Jan. 1, 2024

The green transition requires electrifying industries with traditionally stable energy demands. Combined the rise of artificial intelligence (AI) and hyperscale data centers, a significant increase in grid-connected baseload is expected. These loads, high capital operational costs, often lack financial incentives for flexibility. This paper explores how modeling additional load affects optimal mix under varying nuclear overnight construction cost (OCC) levels, highlighting energy's potential role providing necessary AI centers heavy industry electrification. By utilizing an analytical approach, study assesses profiles match variable renewable energies (VRE) outputs to determine technologies be responsible accommodating power A stylized case using addition (BA) method showed share baseplant units, handling 95.1% load. In contrast, linear profile scaling (LLPS) historical loads left unchanged. more detailed European Model Power system Investment Renewable Energy (EMPIRE) confirmed same trend as found theory, indicating 24 % generation BA over scaling. Moreover, low-cost scenario (€4200/kW) installed 59 capacity than high-cost (€6900/kW). Finally, higher shares are shown significantly reduce need transmission, storage, VRE curtailment, land use, emphasizing power's low-carbon systems

Language: Английский

The role of nuclear energy and baseload demand in capacity expansion planning for low-carbon power systems DOI Creative Commons
Martin Hjelmeland, Jonas Kristiansen Nøland, Stian Backe

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 377, P. 124366 - 124366

Published: Sept. 10, 2024

Language: Английский

Citations

9
Strategic Feasibility Outlook for Blue Energy Investments using an Integrated Decision-Making Approach DOI
Serkan Eti, Serhat Yüksel, Hasan Dınçer

et al.

Sustainable Computing Informatics and Systems, Journal Year: 2025, Volume and Issue: unknown, P. 101085 - 101085

Published: Jan. 1, 2025

Language: Английский

Citations

0
The Role of Nuclear Energy and Baseload Demand in Capacity Expansion Planning for Low-Carbon Power Systems DOI
Martin Hjelmeland, Jonas Kristiansen Nøland, Stian Backe

et al.

Published: Jan. 1, 2024

The green transition requires electrifying industries with traditionally stable energy demands. Combined the rise of artificial intelligence (AI) and hyperscale data centers, a significant increase in grid-connected baseload is expected. These loads, high capital operational costs, often lack financial incentives for flexibility. This paper explores how modeling additional load affects optimal mix under varying nuclear overnight construction cost (OCC) levels, highlighting energy's potential role providing necessary AI centers heavy industry electrification. By utilizing an analytical approach, study assesses profiles match variable renewable energies (VRE) outputs to determine technologies be responsible accommodating power A stylized case using addition (BA) method showed share baseplant units, handling 95.1% load. In contrast, linear profile scaling (LLPS) historical loads left unchanged. more detailed European Model Power system Investment Renewable Energy (EMPIRE) confirmed same trend as found theory, indicating 24 % generation BA over scaling. Moreover, low-cost scenario (€4200/kW) installed 59 capacity than high-cost (€6900/kW). Finally, higher shares are shown significantly reduce need transmission, storage, VRE curtailment, land use, emphasizing power's low-carbon systems

Language: Английский

Citations

2