Concentrating Solar-Thermal Power and Photovoltaics to Hydrogen Solar Thermal Fuel: Technoeconomic Analysis
Sector: Advanced Electronics • Location: Golden, Colorado, United States of America
Source: Department of Energy (DOE)
Producing hydrogen electrolytically is a key alternative to steam methane reforming (current state-of-the-art). Low-temperature electrolysis (LTE) uses electricity to split water into hydrogen and oxygen and can be run on grid or photovoltaic (PV) electricity. High-temperature steam electrolysis (HTSE) uses both heat and electricity to split water. HTSE is more efficient than LTE (per given energy
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Participants
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Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Producing hydrogen electrolytically is a key alternative to steam methane reforming (current state-of-the-art). Low-temperature electrolysis (LTE) uses electricity to split water into hydrogen and oxygen and can be run on grid or photovoltaic (PV) electricity. High-temperature steam electrolysis (HTSE) uses both heat and electricity to split water. HTSE is more efficient than LTE (per given energy input) and potentially has a lower capital cost. However, it requires a stable high temperature heat input. Concentrating Solar Power (CSP) with molten salt towers could provide the heat and electricity for HTSE. This project will compare the economic competitiveness of a CSP-HTSE and CSP-PV-HTSE to other hydrogen production options using the System Advisor Model (SAM). The project will develop and use LTE and HTSE modules in the SAM environment to analyze four hydrogen production systems across three locations. Thus, this work will create an LTE/HTSE modeling tool in an industry-standard solar simulation platform, and perform analysis of multiple use scenarios. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
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State | Obfuscated Data |
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Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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