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英力士推出AI优化技术以降低排放
举报2021-12-08 10:45:04 来源:中国石化新闻网

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据烃加工新闻12月3日消息称,英力士宣布计划在其位于格兰杰默斯的金内尔终端部署创新的人工智能 (AI) 驱动的优化技术,这将进一步减少其运营中的碳排放。


这一决定是在英力士宣布承诺到 2030 年将其在格兰杰默斯业务中的温室气体排放量减少 60% 以上之后做出的,因为它的目标是到 2045 年实现净零排放。作为其路线图的一部分,该公司已经在格兰杰默斯的减排项目上进行了大量投资,在金内尔部署人工智能技术是另一个工具,将使其实现下一阶段的净零转型。


AI 软件是前沿技术。它将持续监控整个金内尔终端的能源使用情况,以确定减少燃料和电力消耗并进一步优化工厂运营的机会。


英力士首席执行官 Andrew Gardner 评论道:“我们致力于实现我们的净零路线图,并将技术视为实现我们脱碳目标的关键推动因素。我们在整个组织中嵌入了碳意识文化,包括作为日常运营的一部分。AI 将帮助我们的团队立即获得排放数据,从而立即实现运营减排。”


OPEX 首席客户官 Chris Ayres 表示:“我们很高兴支持英力士减少碳排放的努力。将现有的操作数据转化为可操作的排放情报,将使英力士的团队获得他们需要的信息,以更快、更明智地做出操作决策,并获得日常的减排机会。”


朱佳妮 摘译自 烃加工新闻


原文如下:


INEOS rolls out AI optimization technology for lower emissions


INEOS FPS has announced plans to deploy innovative Artificial Intelligence (AI)-driven optimization technology at its Kinneil terminal in Grangemouth that will deliver further carbon emissions reductions from its operations.


The decision follows the announcement of INEOS’ commitment to reduce GHG emissions from its operations in Grangemouth by more than 60% by 2030 as it targets net zero by 2045. As part of its road map, the business is already making significant investments in emissions reduction projects at Grangemouth and deploying AI technology at Kinneil is another tool that will enable it to achieve the next phase of the transition to net zero.


AI software is leading edge technology. It will continuously monitor energy use across the Kinneil Terminal to pinpoint opportunities to minimize fuel and power consumption and further optimize plant operations.


Andrew Gardner, Chief Executive at INEOS FPS commented; “We are committed to delivering our roadmap to net zero and see technology as a key enabler to achieving our decarbonization goals. Across our organization we are embedding a culture of carbon awareness, including as part of daily operations. AI will assist our teams in unlocking immediate operational emissions savings by making emissions data instantly available to them.”


Chris Ayres, Chief Customer Officer at OPEX said, “We are delighted to support INEOS in their drive to reduce carbon emissions. Turning existing operational data into actionable emissions intelligence will give INEOS FPS’ teams access to the information they need to drive faster and better informed operational decisions, and get after day-to-day emissions savings opportunities.


 

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