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Or try our free trial . Denmark’s Copenhagen Infrastructure Partners (CIP) has closed acquisition of two Texas community wind projects totaling 516MW nameplate capacity from Dallas-based developer Tri Global Energy. To protect your subscription investment, we've instituted a security system to protect against the electronic redistribution of copyrighted Rechargenews content. Read more


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High containment gloveboxes (HCG) have been used in the pharmaceutical industry for containment of potent compounds, along with providing specific environmental conditions, for years. These types of glovebox design fit well into the Class III Bio Safety Cabinet classifications but provide even better environmental attributes than the standard BSC designs. Once you have decided on the best system and design, testing needs to completed. Testing methods are standard and can be applied to the HCGs. Testing of the HCGs would conform to the industry standard and include the following: 1. Testing should only be done by a third party. 2. Testing needs to be relevant to the biohazardous substance. 3. Testing of the HEPA filters by DOP with particle analysis a ROYCO counter. 5. Bacterial or BI are placed in the glovebox and a decontamination cycle is run and submitted for results. 6. Air changes per hour need to be verified. 1. Third party containment testing can be completed using the ISPE Guidelines. 2. Riboflavin testing for verification of CIP (clean in place systems). Testing should be robust and conform to industry standards for both types of systems. This cleanroom tip was taken from “ Cross Over from Class III BSC to High Containment Gloveboxes ” by Michelle Frisch. The article originally appeared in the issue of Controlled Environments.


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Or try our free trial . Copenhagen Infrastructure Partners (CIP) has boosted its stake in Scotland’s 588MW Beatrice offshore wind project after buying a further 10% from utility SSE. Beatrice will be built in Scotland's Moray Firth CIP taps SSE for further 10% of 588MW Beatrice offshore wind To protect your subscription investment, we've instituted a security system to protect against the electronic redistribution of copyrighted Rechargenews content. Read more


In memoriam: Laurence Clarke, visionary imaging scientist at US National Cancer Institute SPIE mourns the death on 16 April of SPIE Fellow Laurence P. (Larry) Clarke, who was a visionary leader of the Cancer Imaging Program (CIP) at the US National Cancer Institute (NCI) and steadfast supporter of new and emerging quantitative imaging technologies that address the cancer problem. Clarke was a visionary in the field of medical imaging for cancer with a particular focus on quantitative imaging methods across a range of imaging modalities to support clinical decision-making and cancer research. He established several NCI programs and research networks for the development and validation of quantitative imaging methods for current and next-generation imaging platforms that support multi-center clinical trials and preclinical research, most notably the Quantitative Imaging Network (QIN). "Larry Clarke was an imaging leader and the founder of the Quantitative Imaging Network program at NCI," said SPIE Vice President Maryellen Giger (pictured at right). "He was always enthusiastic, visionary, and effective, and really moved imaging forward in today's science of precision medicine. Dr. Clarke often attended SPIE Medical Imaging and most recently was the motivator behind the 2015 LungX Challenge, which brought together NCI, SPIE, and AAPM (the American Association of Physicists in Medicine)." The LungX Challenge was a project to evaluate quantitative image-analysis methods from multiple research labs for the diagnostic classification of malignant and benign lung nodules.


This revolutionary AI-driven monitoring system could lead to greater production capacity and therefore cheaper food prices for consumers. Food and drink production is the largest manufacturing sector in Britain and the highest industrial user of water at approximately 430 million litres a day. As current technologies cannot accurately determine exactly how dirty food and drink processing equipment is inside, cleaning can last up to five hours a day - to minimise food safety risks. Cleaning accounts for 30 per cent of energy and water use and leads to excessive productivity down time and over-use of chemicals, at huge cost to manufacturers and the environment. This research project, led by Martec of Whitwell Ltd, in collaboration with the University of Nottingham and Loughborough University, has secured Innovate UK funding to ensure the UK food industry substantially cut cleaning times and remains a global leader. Dr Nik Watson, assistant professor and chemical engineer specialising in food measurement systems is leading the University of Nottingham team. Dr Watson explains, "To prevent product contamination, many food and drink manufacturers use a non-invasive, Clean-in-Place (CIP) system to wash inside food processing equipment without disassembling it. As CIP has to operate 'blind', it is designed for the worst case scenario. In daily use this often results in the over-cleaning of production lines." To overcome this issue, the research team will design and build a lab-scale experimental rig. This facility will reproduce common industrial cleaning problems in a typical food-processing plant, and test conditions using various foods. They will also assess the potential for an artificial intelligence inspection system to measure precisely how much food residue and microbial debris is left inside the rig. Researchers will test a combination of ultrasonic sensing and optical fluorescence imaging technologies in comparison with existing detection methods for the best results. Dr Watson is working alongside Dr Elliot Woolley from Loughborough University. The two University partners have scientific expertise and industrial application experience in ultrasonic and optical sensing technologies respectively. The team is led by Derbyshire-based industrial partner, Martec, which specialises in the design, installation and use of CIP and hygienic technologies in food and pharmaceutical manufacturing. The year-long feasibility study will go on to develop bespoke software to process the sensor data results and generate algorithms for an AI-based monitoring system. This self-predicting system will be able to autonomously optimise the cleaning process in plant equipment in real-time. This use of AI cognitive decision-making for a novel Self-Optimising-Clean-In-Place (SOCIP) system will be world-first. "Due to the technical complexity of sensor integration such a solution does not yet exist. The aim of the SOCIP project is to overcome these technical barriers and reduce cleaning time and resource use by approximately 20-40 per cent," said Dr Watson. This technology could one day be retrofitted on to existing CIP systems or incorporated into new installations, increasing its market potential. Of almost 9,000 UK manufacturers identified by the Food and Drink Federation, 1,000 plants currently use some type of clean-in-place. Retrofitting those sites alone gives rise to a £50m market opportunity. Equally, major global food manufacturers could potentially replicate the SOCIP system worldwide offering further expansion opportunities. "The self-optimising approach is a transformative technology in line with industry trends to greater automation and control of manufacturing processes. The major productivity, cost and quality control benefits will become widely adopted since the technology is equally suitable for both new installations and upgrades of existing facilities," explains Ian Sterritt, co-owner and Director of Martec. Once operational, SOCIP requires no expertise and uses off-the-shelf electronic components making it attractive to smaller users and significantly increasing the market for the technology. SOCIP would be a major cost-cutting technology for the food and drink industry with spin-out applications in other sectors such as pharmaceutical, FMCG and cosmetics. For a medium-sized dairy, cleaning typically costs £1m a year with loss of production time responsible for at least half of that cost. Using SOCIP on a dairy of this size is estimated to reduce annual water usage by 270,000 litres and energy consumption by 2,400 megawatt-hour, leading to net savings of £300,000 a year. Explore further: Tackling contamination with minimal water and energy consumption

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