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Record W1540131126 · doi:10.5772/18505

Water Splitting Technologies for Hydrogen Cogeneration from Nuclear Energy

2011· book-chapter· en· W1540131126 on OpenAlexafffund
Zhaolin Wang, F. Greg

Bibliographic record

VenueInTech eBooks · 2011
Typebook-chapter
Languageen
FieldEngineering
TopicChemical Looping and Thermochemical Processes
Canadian institutionsOntario Tech University
FundersAtomic Energy of Canada Limited
KeywordsCogenerationHydrogen technologiesEnvironmental scienceFossil fuelEnergy carrierHydrogen productionHydrogenWaste managementOil refineryHydrogen fuelElectricity generationGreenhouse gasNuclear powerElectricityHydrogen economyEngineeringChemistryElectrical engineeringNuclear physicsPower (physics)

Abstract

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Currently, nuclear energy is mainly utilized for the generation of electricity that is distributed to end users via power transmission networks.However, there are also other distribution forms.For example, hydrogen produced from nuclear energy is a promising future energy carrier that can be delivered to end users for purposes of heating homes, fuel supply for hydrogen vehicles and other residential applications, while simultaneously lowering the greenhouse gas emissions of otherwise using fossil fuels [Forsberg, 2002[Forsberg, , 2007]].Current industrial demand for hydrogen exists in the upgrading of heavy oils such as oil sands, refineries, fertilizers, automotive fuels, and manufacturing applications among others.Hydrogen production is currently a large, rapidly growing and profitable industry.The worldwide hydrogen market is currently estimated at about $300 billion per year, growing at about 10% per year, growing to 40% per year by 2020 and expected to reach several trillions of dollars per year by 2020 [Naterer et al., 2008].This chapter will examine the usage of nuclear energy for the cogeneration of electricity and hydrogen with water splitting technologies.In section 2 of this chapter, various hydrogen production methods will be briefly introduced and compared.The potential economics and reduction of greenhouse gas emissions with nuclear hydrogen production are examined.In section 3, matching the heat requirements of various thermochemical hydrogen cycles to the available heat from nuclear reactors (especially Generation IV) will be studied from the aspects of heat grade, magnitude, and distribution inside the cycles.The requirement of an intermediate heat exchanger between the nuclear reactor and hydrogen production plant is discussed.Long distance heat transport is examined from the aspects of the performance of working fluids, flow characteristics, and heat losses in the transport pipeline.In section 4, layout options for the integration of nuclear reactors and hydrogen production plants are discussed.In section 5, modulations of nuclear energy output and hydrogen cogeneration scales are studied, regarding the increase of the nuclear energy portion on the power grid through the adjustment of the hydrogen production rate so as to lower the needs for fossil fuels.The options for keeping the total nuclear energy output at a constant value and simultaneously varying the electricity output onto the power grid in order to approach a load following profile for peak and off-peak hours are discussed.In section 6, conclusions are provided for the cogeneration of hydrogen with nuclear heat. www.intechopen.comNuclear Power -Deployment, Operation and Sustainability 448 Environmental and economic benefits of nuclear hydrogen production methodsThe growing demand for hydrogen will have a significant impact on the economy.However, currently the major production methods for hydrogen are not clean, although its usage is clean.More than 95% of the global hydrogen is directly produced from fossil fuels, i.e., about 48% from steam methane reforming (SMR), 30% from refinery/chemical offgases, and 18% from coal gasification [NYSERDA , 2010; IEA, 2010].Water electrolysis accounts for less than 4%, and even this 4% is not "clean" because the electricity used is not fully generated from clean sources.The usage of fossil fuels to produce hydrogen has been resulting in major greenhouse gas emissions and other hazadous pollutants.Table 1 shows the CO 2 emission levels of various production methods [Wang et al., 2010].On average, the CO 2 emissions are 19 tonnes per tonne of hydrogen production, which results in 959 million tonnes of CO 2 emissions per annum.Therefore, the future hydrogen economy must be based on clean production technologies.Scientists and engineers have been attempting for years to develop new technologies for clean and efficient hydrogen production.Among the technologies, photoelectrochemical water splitting, water electrolysis with off-peak hours electricity, high temperature electrolysis (HTE), and thermochemical water splitting are promising clean options.To evaluate these options, the clean extent of the energy source, thermal efficiency and economics are the three major criteria.In terms of the clean extent, photoelectrochemical water splitting utilizes sunlight to split water into hydrogen and oxygen [Sivula et al., 2010].However, due to the intermittent nature of sunlight, this production method cannot deliver a continuous flow of hydrogen production at night and other times when sunlight is not available.Water electrolysis can utilize off-peak hour electricity from the power grid that can improve the hydrogen production economics, due to the lower price of electricity at offpeak hours.However, it may not be clean production because the power sources contributing to the power grid are not fully clean.As shown in Table 1, water electrolysis cannot even provide a better scenario than steam methane reforming and coal gasification if using the existing power grid.To make the water electrolysis "clean", the electricity must be derived from a clean source.Regarding high temperature electrolysis and thermochemical water splitting methods that utilize some heat as a portion of energy input, the same situation exists because the heat must also be derived from clean sources so as to deliver a clean production method.Solar, wind, and nuclear energy are sustainable options for energy sources [Steinfeld, 2005;Schultz et al., 2003;Kreith et al., 2007].Among these options, nuclear energy is more mature and widespread than solar and wind in current industry.Overcoming the intermittency of solar and wind energy is a long-term challenging task.Therefore, to integrate nuclear power with hydrogen production is a promising option. Method SMR Coal gasification Water electrolysisCO 2 emissions (a) CO 2 /H 2 (Moles /mole) 0.51 1.21 1.00 (b) (a) Heat from fossil fuel combustion and electricity from the existing power grid.(b) 84% of the electricity from fossil power generation (Alberta, Canada [Government of Alberta, 2008]).Table 1.CO 2 emissions with current production methods and energy sources www.intechopen.com

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.187
Teacher spread0.171 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2011
Admission routes2
Has abstractyes

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