arXiv subjects

Muhammad R. Abdussami

Publications and source records attributed to Muhammad R. Abdussami.

4 recordsLinked to original sources

arXiv2026

A Framework for Evaluating the Siting of Fusion Power: Case Study on the Retired Coal Sites in the United States

As fusion advances toward commercialization, systematic siting approaches are needed to identify locations that meet technical, economic, and infrastructural requirements, while also ensuring public acceptance and avoiding the socio-political challenges that have historically hindered fission deployment. Therefore, this study introduces a comprehensive, first-of-its-kind fusion siting framework and applies it to 85 retired (2020-2025) U.S. coal power sites as a case study. The framework evaluates 21 sub-criteria under four key attributes: State Policies, Federal Policies, Risk and Hazard Metrics, and Connectivity and Spatial Factors. Sub-attributes weights are derived using the Fuzzy Full Consistency Method with input from five fusion experts, and site rankings are determined using the Measurement Alternatives and Ranking According to COmpromise Solution method. Results indicate that federal incentives, transportation, substation, and energy prices are the most important factors for fusion siting. Sensitivity analysis reveals that landslide hazards have the greatest effect on rank stability, while fault lines is the least influential. A separate comparative assessment of the fusion deployment sites proposed by Type One Energy, Zap Energy, and Commonwealth Fusion Systems is also conducted using results from our proposed framework. This framework provides a transparent, stakeholder-inclusive decision-making tool that clarifies how sites are evaluated using weighted criteria and distinguishes inflexible policy-responsive factors, thereby enabling targeted regional and federal strategies.

physics.soc-ph↗

arXiv2025

A Multi-Criteria Evaluation Framework for Siting Fusion Energy Facilities: Application and Evaluation of U.S. Coal Power Plants

This paper proposes a comprehensive methodology for siting fusion energy facilities, integrating expert judgment, geospatial data, and multi-criteria decision making tools to evaluate site suitability systematically. As a case study, we apply this framework to all currently operational coal power plant sites in the United States to examine their potential for hosting future fusion facilities at a time when these coal plants are shut down on reaching their end of life - timelines which are expected to coincide with the potential deployment of fusion energy facilities. Drawing on 22 siting criteria - including state and federal policies, risk and hazard assessments, and spatial and infrastructural parameters - we implement two MultiCriteria Decision-Making (MCDM) methods: the Fuzzy Full Consistency Method (F-FUCOM) to derive attribute weights and the Weighted Sum Method (WSM) to rank sites based on composite suitability scores. By focusing on fusion-specific siting needs and demonstrating the framework through a coal site application, this study contributes a scalable and transparent decision-support tool for identifying optimal fusion energy deployment locations.

eess.SY↗

arXiv2025

Evaluation of Nuclear Microreactor Cost-competitiveness in Current Electricity Markets Considering Reactor Cost Uncertainties

This paper evaluates the cost competitiveness of microreactors in today's electricity markets, with a focus on uncertainties in reactor costs. A Genetic Algorithm (GA) is used to optimize key technical parameters, such as reactor capacity, fuel enrichment, tail enrichment, refueling interval, and discharge burnup, to minimize the Levelized Cost of Energy (LCOE). Base case results are validated using Simulated Annealing (SA). By incorporating Probability Distribution Functions (PDFs) for fuel cycle costs, the study identifies optimal configurations under uncertainty. Methodologically, it introduces a novel framework combining probabilistic cost modeling with evolutionary optimization. Results show that microreactors can remain cost-competitive, with LCOEs ranging from \$48.21/MWh to \$78.32/MWh when supported by the Production Tax Credit (PTC). High reactor capacity, low fuel enrichment, moderate tail enrichment and refueling intervals, and high discharge burnup enhance cost efficiency. Among all factors, overnight capital cost (OCC) has the most significant impact on LCOE, while O&M and fuel cost uncertainties have lesser effects. The analysis highlights how energy policies like the PTC can reduce LCOE by 22-24%, improving viability despite cost variability. Compared to conventional nuclear, coal, and renewable sources like offshore wind, hydro, and biomass, optimized microreactors show strong economic potential. This research defines a realistic design space and key trade-offs, offering actionable insights for policymakers, reactor designers, and energy planners aiming to accelerate the deployment of affordable, sustainable microreactors.

cs.NE↗

arXiv2024

Development of the Complex Nexus of Socio-Techno-Economic-Environmental Parametric (STEEP) Metrics for Evaluating Coal-to-Clean Energy Transitions

Transitioning from coal to clean energy, such as nuclear and renewables, is essential for mitigating climate change, improving air quality, and ensuring sustainable energy security. Reducing reliance on coal lowers greenhouse gas emissions and pollution, which enhances public health and economic growth through renewable energy investments. Clean energy also fosters energy independence and long-term sustainability. This paper presents a Complex Nexus of Socio-Techno-Economic-Environmental Parametric (STEEP) Metrics to systematically evaluate and guide these transitions, facilitating informed decision-making and optimizing resource allocation. The methodology is classified into three approaches: optimal site selection using a multi-criteria decision-making framework that ranks coal plant sites based on societal, technical, economic, and environmental criteria; long-term planning evaluation through performance indicators comparing Greenfield, Coal-to-Nuclear (C2N), and Coal-to-Integrated Energy Systems (C2IES); and short-term operational benefits assessment using the Unit Commitment Economic Dispatch (UCED) model to optimize generator scheduling and minimize costs across various scenarios. This framework enables practical analysis of coal-to-clean transitions, identifying the best strategies for implementation.

physics.soc-ph↗