Articles & Publications
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.
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