In support of T2M for the ALPHA program, Bechtel National, Woodruff Scientific, and Decysive Systems developed a costing model to estimate the overnight capital cost (OCC) of four fusion concepts supported by the ALPHA program. In 2019–2020, WSI updated the costing model and the estimated OCC for the same four concepts, and added levelized-cost-of-electricity (LCOE) estimates as well. The final report of the updated study can be downloaded here. The report contains links to the earlier report and other references.
Shifting Agricultural Practices to Produce Sustainable Low Carbon Intensity Feedstocks for Biofuel Production
The carbon intensity (CI) of biofuel’s well-to-pump life cycle is calculated by life cycle analysis (LCA) to account for the energy/material inputs of the feedstock production and fuel conversion stages and the associated greenhouse gas (GHG) emissions during these stages.
The Cost and Performance Requirements for "Flexible" Advanced Nuclear Power Plants in Future U.S. Power Markets
This report summarizes a modeling effort to estimate the highest allowable CapEx for advanced nuclear plants in future power market environments to still achieve a market rate of return for their owners.
This document provides supplemental information for ARPA-E’s exploratory research program, “Recycle Underutilized Solids to Energy” (REUSE). The goal is to provide additional technical information to prospective Applicants. Further information is available in a blog interview and webinar.
Design and Development of a High High-Efficiency Single Cylinder Natural Gas Gas-Fueled Jet Ignition Engine
The current energy climate has created a push toward reducing consumption of fossil fuels and lowering emissions output in power generation applications. Combined with the desire for a more distributed energy grid, there is currently a need for small displacement, high efficiency engines for use in stationary power generation.
Decarbonizing Agriculture through the Conversion of Animal Manure to Dietary Protein and Ammonia Fertilizer
The decarbonization of agriculture faces many challenges and has received a level of attention insufficient to abate the worst effects of climate change and ensure a sustainable bioeconomy. Agricultural emissions are caused both by fossil-intensive fertilizer use and land-use change, which in turn are driven in part by increasing demand for dietary protein. To address this challenge, we present a synergistic system in which organic waste-derived biogas (a mixture of methane and carbon dioxide) is converted to dietary protein and ammonia fertilizer.
This paper introduces a new Metric Space to guide the design of advanced wind energy systems and hydrokinetic energy converters such as tidal, ocean current and riverine turbines. The Metric Space can analyse farms that combine different or identical turbines and stand‐alone turbines. The first metric (M1) of the space considers the efficiency of the turbines in the farm, which is also proportional to the specific power per swept area at a given wind/water velocity (W/m2). The second metric (M2) describes the specific rotor area per unit of mass of the turbines (m2/kg).
This paper provides a retrospective of the Accelerating Low-cost Plasma Heating and Assembly (ALPHA) fusion program of the Advanced Research Projects Agency-Energy (ARPA-E) of the U.S. Department of Energy. ALPHA’s objective was to catalyze research and development efforts to enable substantially lower-cost pathways to economical fusion power.
In the study described in this paper, the authors represent the entire U.S. power generation fleet with an agent-based model that incorporates projections for future need as well as historical data on types and typical lifetimes of existing power plants. This model was used to examine various scenarios for fusion market entry that included variations in entry date, uptake/transition rate, and final market capture fraction.
Following a concurrent engineering strategy that considers multidisciplinary subsystem interactions from the beginning of the design process, CCD applies control concepts to design the entire system and reach optimal solutions that are not achievable otherwise. This approach is a game changer for the control engineer, who will be not only the designer of advanced control algorithms but also the natural leader of the design of new products and systems.