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Sustainable Manufacturing for a Healthier World - Verdigris Technologies Industrial IoT Case Study
可持续制造,打造更健康的世界
医院的可持续发展政策和对环保医疗保健用品的需求将 Vention 推向了 Verdigris。 Vention 正在寻求能源数据指标,特别是能源使用验证和潜在节约的洞察力。 Vention 拥有 13 个设施和一个新成立的可持续发展委员会,需要一种工具来轻松识别和量化隐藏的潜在成本节约。他们还需要一个可靠的系统来跟踪设备故障,以维持对医疗设备制造至关重要的敏感环境。 Vention 选择了他们的 Sunnyvale 办公室进行概念验证测试,该办公室有几个洁净室。他们想了解如何最好地防止 HVAC 等重要设备的停机时间,这可能会危及 FDA 批准的洁净室条件、污染材料并最终增加生产成本。 Vention 与 Verdigris 取得了联系,以寻求超出其客户对可持续性的具体要求的帮助。
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AI-based Automation for Commercial Office HVAC: A Verdigris Case Study - Verdigris Technologies Industrial IoT Case Study
基于人工智能的商业办公室暖通空调自动化
今天的建筑物运行时间更长,支持更广泛的最终用途,并支持更高水平的经济生产力,从而产生更小的错误余地。但即使是最先进的建筑和环境控制系统也未能实现设施和运营管理。我们的建筑物效率低下,使用它们的人服务不足。为了满足乘员的舒适度并保持成本和能源效率,需要一种动态的人工智能辅助方法。
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Boosting Maintenance Staff Capacity at Lower Cost, for the GM of Two Hotels - Verdigris Technologies Industrial IoT Case Study
Boosting Maintenance Staff Capacity at Lower Cost, for the GM of Two Hotels
Juan and the Orchard ownership group had reached the limit of their own capacity. Orchard faced two key challenges: Limited engineering capacity to proactively manage their properties in an effective manner. A rigorous method to measure success and return on investment, especially for new energy efficiency projects. Moreover, from his position overlooking two hotels, Juan wanted a better way to monitor usage and compare results between the two properties. Each 10 stories tall, with a roughly equal number of rooms and located just 500 yards apart, the energy consumption profile should be very similar. In fact, this wasn’t the case.
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3 Ways a W Hotel Chief Engineer Improved his Kitchen Equipment Operations - Verdigris Technologies Industrial IoT Case Study
3 Ways a W Hotel Chief Engineer Improved his Kitchen Equipment Operations
Bill DeMartini, Chief Engineer of the W Hotel San Francisco, was searching for a way to identify the unseen problems in his building. He wanted to take energy efficiency beyond his hotel’s LEED Silver certification. To tackle this, he knew he must look at TRACE, the award-winning restaurant. Without a cost-effective way to monitor kitchen operations 24/7, Bill lacked the facts required to optimize his kitchen and improve W Hotel’s efficiency. Bill engaged with Verdigris to deliver the granularity he needed to identify ways to improve the kitchen operations.
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Sustainable Manufacturing for a Healthier World - Verdigris Technologies Industrial IoT Case Study
Sustainable Manufacturing for a Healthier World
Hospital sustainability policies and demand for environmentally conscious healthcare supplies drove Vention to Verdigris. Vention was seeking energy data metrics, particularly validation of energy usage and insights for potential savings. With 13 facilities and a newly formed sustainability council, Vention needed a tool to easily identify and quantify hidden potential cost savings. They also needed a reliable system to track equipment malfunction to maintain sensitive environments which are critical to medical device manufacturing. Vention selected their Sunnyvale office, which has several clean rooms, for the proof-of-concept test. They wanted to learn how to best prevent downtime for important equipment such as HVAC, which could jeopardize FDA-approved clean room conditions, contaminate materials, and ultimately increase production costs. Vention approached Verdigris to get help going above and beyond their customers’ specific requirements for sustainability.
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Automating the Measurement & Verification of Energy Efficiency - Verdigris Technologies Industrial IoT Case Study
Automating the Measurement & Verification of Energy Efficiency
Building owners and property managers face significant challenges in verifying the return on investment (ROI) from energy efficiency measures due to the dynamic nature of buildings. Factors such as shifting weather patterns, changes in occupancy, and varying equipment lifespans complicate the isolation of savings from energy efficiency investments. Traditional methods of verifying savings, such as hiring energy engineers to create predictive thermodynamic energy models, are often complicated and expensive. These methods involve intensive data collection and calibration processes, which can cost between $0.10 to $0.50 per square foot, making them cost-prohibitive for many building owners. Additionally, traditional methods have limited capability for tracking ongoing performance, which is crucial for identifying failures or below-average performance of energy efficiency measures.
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