下载PDF
Altair SmartCore™ Enhances Energy Performance and Profitability for UNATEC
技术
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 电网
- 可再生能源
适用功能
- 维护
用例
- 能源管理系统
- 运动预测
挑战
Unatec 是一家在能源解决方案咨询领域拥有十多年经验的公司,该公司正在努力应对能源生产商控制成本和提高产量的挑战。该公司认识到,不受控制的成本和不准确的预测可能会大幅减少利润,甚至可能导致损失。能源生产和管理部门如果不进行优化,可能会严重影响经济成果。如果成本控制不严格或产量预测不准确,利润可能会大幅减少,甚至可能造成损失。此外,许多国家已开始大幅减少对生产的经济补贴,并出台了更多法规。在某些情况下,能源生产商甚至必须优化能源管理以增加利润并避免制裁和处罚。
关于客户
Unatec 是一家在能源解决方案咨询领域拥有超过 10 年经验的公司。该公司与西班牙最大的公用事业公司合作,推出了能源智能发电,这是其为中小型可再生能源生产商提供的解决方案。这些生产商通常运营和维护中小型太阳能和风能发电厂。 Unatec 与 Altair SmartCore 合作创建智能电网,旨在改善能源管理和利润。该公司决定完全依赖 Altair SmartCore 作为其技术堆栈的核心元素。
解决方案
Unatec 与 Altair SmartCore 合作创建智能电网并提高可再生能源公司的绩效和盈利能力。 Altair SmartCore 平台在 6 个月内实施,使 Unatec 节省了大量开发成本。该平台包括多种预测模型比较、智能计量系统部署、扩展的生产预测功能、实时跟踪的定制KPI以及偏差和能源测量的控制。 Unatec 的能源智能发电平台使用不同的预测服务,并使用 Altair SmartCore 核心对它们进行比较,以提高预测准确性。预测模型接收反馈以不断提高能源供应计算的准确性。一组定制的 KPI 被永久跟踪并显示在实时图表中,以将生产与预测进行比较,并生成定制的绩效报告、预算跟踪和工厂比较。
运营影响
数量效益
相关案例.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Vestas: Turning Climate into Capital with Big Data
Making wind a reliable source of energy depends greatly on the placement of the wind turbines used to produce electricity. Turbulence is a significant factor as it strains turbine components, making them more likely to fail. Vestas wanted to pinpoint the optimal location for wind turbines to maximize power generation and reduce energy costs.
Case Study
Siemens Wind Power
Wind provides clean, renewable energy. The core concept is simple: wind turbines spin blades to generate power. However, today's systems are anything but simple. Modern wind turbines have blades that sweep a 120 meter circle, cost more than 1 million dollars and generate multiple megawatts of power. Each turbine may include up to 1,000 sensors and actuators – integrating strain gages, bearing monitors and power conditioning technology. The turbine can control blade speed and power generation by altering the blade pitch and power extraction. Controlling the turbine is a sophisticated job requiring many cooperating processors closing high-speed loops and implementing intelligent monitoring and optimization algorithms. But the real challenge is integrating these turbines so that they work together. A wind farm may include hundreds of turbines. They are often installed in difficult-to-access locations at sea. The farm must implement a fundamentally and truly distributed control system. Like all power systems, the goal of the farm is to match generation to load. A farm with hundreds of turbines must optimize that load by balancing the loading and generation across a wide geography. Wind, of course, is dynamic. Almost every picture of a wind farm shows a calm sea and a setting sun. But things get challenging when a storm goes through the wind farm. In a storm, the control system must decide how to take energy out of gusts to generate constant power. It must intelligently balance load across many turbines. And a critical consideration is the loading and potential damage to a half-billion-dollar installed asset. This is no environment for a slow or undependable control system. Reliability and performance are crucial.
Case Study
Remote Monitoring and Control for a Windmill Generator
As concerns over global warming continue to grow, green technologies are becoming increasingly popular. Wind turbine companies provide an excellent alternative to burning fossil fuels by harnessing kinetic energy from the wind and converting it into electricity. A typical wind farm may include over 80 wind turbines so efficient and reliable networks to manage and control these installations are imperative. Each wind turbine includes a generator and a variety of serial components such as a water cooler, high voltage transformer, ultrasonic wind sensors, yaw gear, blade bearing, pitch cylinder, and hub controller. All of these components are controlled by a PLC and communicate with the ground host. Due to the total integration of these devices into an Ethernet network, one of our customers in the wind turbine industry needed a serial-to-Ethernet solution that can operate reliably for years without interruption.
Case Study
Temperature monitoring for vaccine fridges
Dulas wanted a way to improve the reliability of the cold chain, facilitating maintenance and ensuring fewer vaccines are spoiled. Dulas wanted an M2M solution which would enable them to record and report the temperature inside vaccine refrigerators.
Case Study
Hydro One Leads the Way In Smart Meter Development
In 2010, Ontario’s energy board mandated that time-of-use (TOU) pricing for consumers be available for all consumers on a regulated price plan. To meet this requirement, Hydro One needed to quickly deploy a smart meter and intelligent communications network solution to meet the provincial government’s requirement at a low cost. The network needed to cover Hydro One’s expansive service territory, which has a land mass twice the size of Texas, and its customers live in a mix of urban, rural, and remote areas, some places only accessible by air, rail, boat or snowmobile. Most importantly, the network needed to enable future enterprise-wide business efficiencies, modernization of distribution infrastructure and enhanced customer service. To meet these needs, Hydro One conceptualized an end-to-end solution leveraging open standards and Internet Protocols (IP) at all communication levels. The utility drew upon industry leaders like Trilliant to realize this vision.