Combined hydrogen, heat, and power (CHHP) technology is envisioned as a means to providing heat and electricity, generated on-site, to large end users, such as hospitals, hotels, and distribution centers, while simultaneously producing hydrogen as a by-product. The hydrogen can be stored for later conversion to electricity, used on-site (e.g., in forklifts), or dispensed to hydrogen-powered vehicles. Argonne has developed a complex-adaptive-system model, H2CAS, to simulate how vehicles and infrastructure can evolve in a transition to hydrogen. This study applies the H2CAS model to examine how CHHP technology can be used to aid the transition to hydrogen. It does not attempt to predict the future or provide one forecast of system development. Rather, the purpose of the model is to understand how the system works. The model uses a 50- by 100-mile rectangular grid of 1-square-mile cells centered on the Los Angeles metropolitan area. The major expressways are incorporated into the model, and local streets are considered to be ubiquitous, except where there are natural barriers. The model has two types of agents. Driver agents are characterized by a number of parameters: home and job locations, income, various types of 'personalities' reflective of marketing distinctions (e.g., innovators, early adopters), willingness to spend extra money on 'green' vehicles, etc. At the beginning of the simulations, almost all driver agents own conventional vehicles. They drive around the metropolitan area, commuting to and from work and traveling to various other destinations. As they do so, they observe the presence or absence of facilities selling hydrogen. If they find such facilities conveniently located along their routes, they are motivated to purchase a hydrogen-powered vehicle when it becomes time to replace their present vehicle. Conversely, if they find that they would be inconvenienced by having to purchase hydrogen earlier than necessary or if they become worried that they would run out of fuel before encountering a facility, their motivation to purchase a hydrogen-powered vehicle decreases. At vehicle purchase time, they weigh this experience, as well as other factors such as social influence by their peers, fuel cost, and capital cost of a hydrogen vehicle. Investor agents build full-service hydrogen fueling stations (HFSs) at different locations along the highway network. They base their decision to build or not build a station on their (imperfect) estimates of the sales the station would immediately generate (based on hydrogen-powered vehicle traffic past the location and other factors), as well as the growth in hydrogen sales they could expect throughout their investment horizon.
Analysis of Combined Hydrogen, Heat, and Power as a Bridge to a Hydrogen Transition
2011
72 pages
Report
No indication
English
Combined Hydrogen, Heat, Steam And Power Generation System
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