在过去的25年中, Bonnie Brandreth has helped government and commercial organizations collect, 分析, 并利用数据来制定组织战略, 驱动决策, 优化能源领域的绩效.
作为她角色的一部分, 邦妮带领团队进行数据收集, 管理, 以及能源利益相关者的分析项目. She leads a team of data scientists specializing in energy sector services with unique research design expertise, 包括一个内部调查呼叫中心. Ms. Brandreth studied research methods and data analytics and holds a Master of Science in Sociology from the University of Wisconsin-Madison.
数据分析在过去几年中发生了怎样的变化?
Companies are moving from simple metrics that describe what has happened to using 先进的分析 to diagnose current and past performance and predict future performance. 参数可以告诉我们过去发生了什么, but analytics help to reveal why key performance metrics were or were not achieved. This is demonstrated by the difference between quantifying savings through energy efficiency measures and reducing future energy consumption by identifying equipment or processes with the most energy-saving potential.
There are other changes that support the greater use of analytics within the past few years. Improvements in sensor and connectivity 技术 enable the collection of more useful operational data to help firms make decisions. Cloud-based analytics allows us to leverage connected servers for massive amounts of computing power. Using open-source scripting languages and statistical tools enable us to leverage libraries to borrow and share application programming and solutions. Machine learning technologies have automated more operational processes and made us better at predicting outcomes.
Tetra Tech helps companies implement data analytics solutions to help them understand energy use and predict performance.
拥有更多的数据意味着更好的决策吗?
拥有大量的数据是不够的. 数据越相关, 分析得越好, 洞察力越强, 决策就越有效. Rather than collecting the most data, Tetra Tech helps organizations find the 正确的 data. 例如, we help solar developers evaluate overall site performance by collecting meteorological data on-site and then adjusting analytical models of measured power output for 天气 conditions before comparing actual and expected performance. As a result, the analysis is more accurate and relevant to real-world conditions. Technicians can more accurately identify poorly performing solar sites, 主动调整, 并帮助亚洲最大体育平台在选址方面做出更好的决策.
数据的准确性和集成也很重要. Data integration is one of the biggest challenges companies face when developing a cohesive and scalable sustainability plan. 环境的感知, 社会, and governance (ESG) has shifted from a preferred to required feature that influences investors in the energy sector. Companies are looking for ESG datasets that will help them accurately identify ways to reduce risk, 进行操作改进, 展示营销差异化. Developing fit-for-purpose analytics may require integrating data across multiple facilities, 部门, 以及目前处于独立孤岛中的操作系统.
数据分析还如何改变能源行业?
数据分析在油气行业的应用正在迅速增长&G)行业. Innovative analytics from data recording sensors are becoming more common as are recording sensors that can be used in wells to capture data on key operational variables like fluid temperature, 压力, 以及制作过程中的构图. 例如, Tetra Tech is working with an integrated energy company to use wireless equipment sensors to generate data to manage assets across their business. Sensor data are generated on-site and 分析d in real-time using embedded microprocessors and code, 这对…有帮助&G公司的运营更加可持续，效率也更高.
我们是 also seeing more on-site data collection and analytics on the renewable energy side. 利乐全球最大体育平台最近安装了一个 状态监测系统 at a utility-scale wind farm that uses data recording sensors and microprocessors embedded in equipment, 包括加速度计, 检测振动异常. They provide critical statistics for root-cause analysis of drive train component failures in a wind turbine. 这些警报有助于减少停机时间并防止灾难性故障, 这可能导致昂贵的更换传动系统.
How can data analytics help clients meet goals around decarbonization and energy optimization?
Companies can better understand their environmental impact and decarbonization progress when they have advanced reporting and analytic tools based on verifiable data. 例如, we use machine learning techniques to detect patterns of energy consumption to help companies identify where changes can mitigate emissions and improve energy efficiency.
数据分析可以帮助企业规划未来的能源需求. Analytic models enable companies to evaluate and react to uncertainties around climate change, 可再生能源和补偿的竞争, 以及去中心化能源对市场的影响. 随着越来越多的风力涡轮机, 太阳能电池阵列, 其他可再生能源设施也被整合在一起, 它们在电网中产生更大比例的能量. 然而, the availability of renewable resources and their effectiveness depends on factors such as location, 天气, 和一天的时间. Batteries or other energy storage systems store power and keep the grid running when renewable systems are not generating electricity. The assumed rate at which renewables and batteries will improve in performance should be part of integrated resource forecasting and distributed energy models. These changes and unknowns create more uncertainty in planning future power needs and systems that must ensure power reliability, 系统安全, 减少排放, 实现积极的可持续发展目标. 数据分析帮助我们为未知的事情做计划.