DOE Fuel Cell Power Analysis
FCPower Model New Releases
- Molten carbonate fuel cell, version 2.0
- Phosphoric acid fuel cell, version 2.0
- Solid oxide fuel cell, version 2.0
The Fuel Cell Power (FCPower) Model is a financial tool for analyzing high-temperature, fuel cell-based tri-generation systems. It uses a discounted cash flow rate of return methodology to determine the cost of delivered energy, and it quantifies energy inputs/outputs and greenhouse gas emissions.
Tri-generation systems provide onsite-generated heat and electricity to large stationary end users (e.g., office complexes) and produce hydrogen that can be used for fueling vehicles or stored and later converted to electricity. These systems can play an important role in early fuel cell markets by lowering hydrogen production costs, enabling distributed hydrogen production, lowering fossil energy use and greenhouse gas emissions, reducing electricity transmission congestion, lowering capital investment risk, and providing backup power functionality.
Version 2.0 of the FCPower Model was released in September 2012 and includes the ability to analyze three fuel cell technologies: molten carbonate, phosphoric acid, and solid oxide. Compared with the previous version, version 2.0 features enhanced usability, expanded functionality, and updated technical and financial assumptions. In addition, the solid oxide fuel cell analysis is available for the first time in version 2.0. An updated user guide includes technical and modeling details for each fuel cell technology as well as case studies for each technology's application in a hypothetical large hotel in Los Angeles.
Choose from the links below to download the three versions of the FCPower Model and user guide. Each version of the model includes an analysis of a tri-generation system for a large hotel in Los Angeles. These analyses can be used as starting points for new analyses. Downloading the models is free, but registration is required.
Also access the FCPower Model case study data to download building energy demand profiles and renewable energy supply profiles that can be imported into the model.
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