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GridPoint
概述
公司介绍
GridPoint 是全面的数据驱动能源管理解决方案 (EMS) 的创新者,该解决方案利用实时数据收集、大数据分析和云计算的力量来最大限度地提高能源节约、运营效率、资本利用率和可持续性效益。
GridPoint 的资产级分表和监控、智能控制、能源管理软件和专业服务的集成能源管理产品组合可以节省 10-30% 的能源和 18-36 个月的投资回报。
GridPoint 解决方案部署在 12,000 多个站点,迄今为止收集了超过 640 亿个客户数据点,并且每天新增 1 亿个。客户包括:前 20 家快餐店中的 7 家、前 10 家休闲餐厅中的 4 家、20 家便利增长连锁店中的 3 家、按总销售额计算的前 10 名零售商中的 7 家、领先的商业和工业企业以及主要的政府和教育机构。
物联网解决方案
物联网应用简介
技术栈
GridPoint的技术栈描绘了GridPoint在等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
实例探究.
Case Study
How Demand Response Improved Cost Savings
Power supply is critical to Five Star Call Centers. They’ve built a solid reputation for providing consistent, reliable, and friendly customer care, and a loss of power could wreak havoc on their business. To prevent service disruptions, the company has an uninterruptible power supply on-site, as well as a backup generator.The generator was necessary, but almost never used, and there were monthly expenses to maintain it. GridPoint recognized the opportunity to help Five Star turn an idle resource into a revenue-producing, grid-interactive asset.
Case Study
Ampler Holdings' Efficiency Improvement and Cost Savings with GridPoint
Ampler Holdings, a quick-service restaurant platform owning 347 restaurants, including over 80 Burger King locations, was facing a series of challenges related to energy management. The company had no Energy Management System in place, leading to inconsistent operational control and unnecessary energy use, such as lights being left on overnight. There was also a lack of automation for energy needs, resulting in situations like dining room lights not being turned on in the morning. The HVAC set points were inefficient and lacked standardization, and there was no visibility into the health of the HVAC systems. These challenges were exacerbated by the fact that Ampler had assembled its portfolio of restaurants in a relatively short timeframe, and was therefore focused on operational improvements and insights.
Case Study
National Retail Chain's Journey to Net Zero with Data-Driven Solutions
The Minnesota-based national retail chain, with nearly 2000 stores and 50 supply chain facilities across the US, was committed to achieving net zero by 2040. To reach this goal, the retailer had been implementing energy-saving strategies in their existing and new store designs since the 1990s. However, they faced challenges in managing their path to net zero. They were using utility bill data, engineering estimates, and energy modeling to plan, implement, and validate capital investments in energy-consuming assets and confirm ongoing operational efficiency. However, they lacked clear benchmarks for success. Additionally, they were deploying significant refrigeration equipment as part of their strategy to bring fresh groceries to every store, but they did not have a portfolio-wide view of energy-consuming assets to measure the full impact on energy usage. They needed an enterprise platform that provides asset-level, real-time data to support this deployment.