A High Precision Laser-based Mobile SEnsor for Detection of Trace Amounts of Hydrogen
用于检测痕量氢气的高精度激光移动传感器
基本信息
- 批准号:EP/Y034457/1
- 负责人:
- 金额:$ 16.19万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2024
- 资助国家:英国
- 起止时间:2024 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Hydrogen is a leading zero-emission fuel and hence applications are bound to increase. For example, industries such as the natural gas, steel and automotive are slowly adopting green hydrogen technologies. This shift away from the fossil-based energy sources creates a distinctive market space for hydrogen sensors that are rapid, mobile and sensitive. Thus, the aim of the project is to develop a trace gas sensor for H2 based on a fast and sensitive optical measurement technique - tunable diode laser absorption spectroscopy (TDLAS). Laser based gas sensors will have improved speed, sensitivity and selectivity compared to conventional sensor paradigms. An initial detection limit of 0.02 vol% has been targeted which is consistent with the state of the art. A consortium of optical gas sensing experts assisted by stakeholders such as the UK Network-H2 initiative, give the project its uniqueness. A key component of the gas sensor will be developed in coillaboration with Eblana Photonics Ltd (Dublin), based on their discrete mode platform which is a low-cost, scalable technology. A novel-lightweight multipass gas cell will be developed in collaboration with IRsweep (Switzerland). Being the lightest gas molecule, H2 poses several challenges in sampling and, hence, a dual modal approach using an additional optical gas imaging (OGI) technique is proposed to identify optimal sampling conditions. An aerial measurement campaign will be conducted at a hydrogen gas facility and further development and commercialisation will be undertaken with our industrial partners.
氢是一种领先的零排放燃料,因此应用必将增加。例如,天然气、钢铁和汽车等行业正在慢慢采用绿色氢技术。这种从化石能源的转变为快速、移动的和灵敏的氢传感器创造了独特的市场空间。因此,该项目的目的是开发一种基于快速灵敏的光学测量技术-可调谐二极管激光吸收光谱(TDLAS)的痕量气体传感器。与传统的传感器范例相比,基于激光的气体传感器将具有改进的速度、灵敏度和选择性。初始检测限为0.02体积%,这与最先进的水平是一致的。在英国网络H2倡议等利益相关者的帮助下,光学气体传感专家联盟使该项目具有独特性。气体传感器的关键组件将与Eblana Photonics Ltd(都柏林)合作开发,基于其离散模式平台,该平台是一种低成本、可扩展的技术。将与IRsweep(瑞士)合作开发一种新型轻质多程气室。作为最轻的气体分子,H2提出了几个挑战,在采样,因此,提出了一种双模式的方法,使用额外的光学气体成像(OGI)技术,以确定最佳的采样条件。将在氢气设施进行空中测量活动,并将与我们的工业合作伙伴进行进一步的开发和商业化。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Evgeny Rebrov其他文献
Understanding plasma-assisted ammonia synthesis <em>via</em> crossing discipline borders of literature: A critical review
- DOI:
10.1016/j.ces.2022.118097 - 发表时间:
2022-12-14 - 期刊:
- 影响因子:
- 作者:
Nguyen Van Duc Long;Mohamad Al-Bared;Liangliang Lin;Kenneth Davey;Nam N. Tran;Nima Pourali;Kostya Ken Ostrikov;Evgeny Rebrov;Volker Hessel - 通讯作者:
Volker Hessel
Enhanced ammonia production through non-thermal plasma-assisted synthesis: Tailoring titanium oxynitride photocatalysts for optimal performance
通过非热等离子体辅助合成提高氨产量:定制氮氧化钛光催化剂以获得最佳性能
- DOI:
10.1016/j.cej.2025.165118 - 发表时间:
2025-09-01 - 期刊:
- 影响因子:13.200
- 作者:
Yuyan Gong;Pradeep Lamichhane;Marc Walker;Volker Hessel;Evgeny Rebrov - 通讯作者:
Evgeny Rebrov
Machine learning-based prediction and optimization of plasma-catalytic dry reforming of methane in a dielectric barrier discharge reactor
基于机器学习的介质阻挡放电反应器中甲烷等离子体催化干重整的预测与优化
- DOI:
10.1016/j.cej.2025.159897 - 发表时间:
2025-03-01 - 期刊:
- 影响因子:13.200
- 作者:
Jiayin Li;Jing Xu;Evgeny Rebrov;Annemie Bogaerts - 通讯作者:
Annemie Bogaerts
Understanding plasma-assisted ammonia synthesis emvia/em crossing discipline borders of literature: A critical review
通过跨越文献学科边界理解等离子体辅助氨合成:批判性综述
- DOI:
10.1016/j.ces.2022.118097 - 发表时间:
2022-12-14 - 期刊:
- 影响因子:4.300
- 作者:
Nguyen Van Duc Long;Mohamad Al-Bared;Liangliang Lin;Kenneth Davey;Nam N. Tran;Nima Pourali;Kostya Ken Ostrikov;Evgeny Rebrov;Volker Hessel - 通讯作者:
Volker Hessel
Microfluidic plasmas: Novel technique for chemistry and chemical engineering
- DOI:
10.1016/j.cej.2021.129355 - 发表时间:
2021 - 期刊:
- 影响因子:15.1
- 作者:
Liangliang Lin;Hue Quoc Pho;Lu Zong;Sirui Li;Nima Pourali;Evgeny Rebrov;Nam Nghiep Tran;Kostya Ostrikov;Volker Hessel - 通讯作者:
Volker Hessel
Evgeny Rebrov的其他文献
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