大数据意味着大能节省

In the past few months, Tesla has announced to great acclaim the sale of a new home battery as well as a microgrid in a box. At the same time, the cost of photovoltaics – the guts of solar panels – has dropped precipitously and is trending in that direction well into the future. In other words, what is driving energy headlines is the hardware that will drive our nascent energy revolution.

没有那么多的头条新闻是软件和将有助于推动硬件的信息。那是大数据。也许不那么闪亮且有形的，大数据（如此之大的信息收集，以至于只有先进的分析系统才能理解它们）当然，近年来，包括能源部门在内的越来越多的行业都获得了关注。

信息和分析对于实现我们共同的经济和环境目标至关重要，尤其是考虑到气候变化的紧迫性。将美国能量带入21^英石century is imperative – and an incredible opportunity.

How big is the opportunity? Consider this – the U.S. is dead last among developed nations when it comes to energy productivity. Shockingly, the U.S. wastes more energy than it uses. A whopping 57 percent of the energy flowing into our economy is simply wasted as heat, noise, or leaks. Even China, a so-called developing nation, ranks ahead of the U.S. Analyzing and understanding where, why, and how this waste occurs and finding ways to fix the problem is – you guessed it – a job for big data.

为了鼓励实现有意义的经济和环境进步所需的数据驱动的见解和行为的类型，国家能源效率政策的委员会是通过联盟形成的，以节省能源 - 呼吁到2030年将美国的能源生产力和效率翻倍。

当然，这样做的成本将是巨大的，但是投资回报率将是巨大的。根据公用事业分析学院的说法[1]该行业有望在未来12个月内投资超过20亿美元的数据基础设施。那就是此外to the more than $2.5兆the International Energy Agency estimates the industry needs to invest by 2035, most of it to replace aging equipment.[2]

Achieving this 2030 goal would add 1.3 million jobs to our economy, boost GDP by 2 percent, and reduce carbon emissions, as well as oil and gas imports, by more than 30 percent. All in, that would free up more than $130 billion in savings that could be dedicated to other societal needs.

实现这些目标并不容易。在大数据的帮助下，我们将如何到达那里。

首先，我们必须使用收集和分析所需数据所需的钢和软件来装备并更新能源基础架构。这需要比过去考虑的数据收集和分析以及更广泛的信息，以及更广泛的信息。我们不仅需要绩效和消费统计数据，还需要行为和人口统计信息，并具有确保客户隐私和数据保护的能力。

Second, we must invest in the capabilities needed so every customer – whether they‘re large or small, residential or commercial – understands how they can support energy savings and provide an environmental upside.

目的是为客户提供正确的信息并以方式呈现，以便可以立即将其用于做出更明智的能源消耗决策。在能源效率和经济增长方面，使用大数据来改善能源选择，应用和管理将成为改变游戏规则的人。

最后，能源公司应承担越来越多的责任来节省能源和应对气候变化。为了支持必要的投资，需要一个创新的监管框架 - 奖励公司提供经济和环境福利，并因其失败而惩罚他们。

Measures such as the活力Savings and Industrial Competitiveness Act of 2015由美国参议员罗布·波特曼（R-Oh。）和珍妮·沙希恩（Jeanne Shaheen）（D-N.H.）赞助，并于4月通过，由奥巴马总统签署，将有助于这项工作。

能源对大数据的使用似乎似乎是抽象的，并且以未来为中心。但是，美国的许多公司正在取得真正的进步，这些投资正在提高运营效率，降低了客户的能源成本并帮助保护环境。

At National Grid, here are a few ways we’re bringing the advantages of big data to work for our customers and communities:

• 我们最近在马萨诸塞州针对15,000个客户启动的“智能电网”试点计划将采用与电网连接的基于网络的恒温器和仪表，从而为客户提供有关能源使用的实时数据，以及价格信号，以鼓励保护。
  
• 我们参与美国能源部的绿色按钮计划，以一种新的，全国标准化的格式为客户提供能源消耗数据。客户可以访问数据，显示他们如何以及何时使用电力，将其与该地区其他人的使用进行比较，并更好地了解他们如何减少消费。
  
• Our Home Energy Reports partnership with Opower, a cloud-based software company, has helped National Grid’s 3.5 million customers save enough electricity to power a city of 200,000 for a year.

These measures, of course, are just the beginning. We’ve demonstrated in the last decade that our energy efficiency programs – smart, effective policy – work with time, focus, and of course, large doses of information. We now need to capture the full potential of information to help deliver our energy future sooner rather than later.

James Madej是美国国家电网的高级副总裁兼首席客户官。

[1]Source: “Utility Grid Barons Warm to Big Data’s Power,” by Jonathan Berr, special to CNBC.com, July 14, 2014:http://www.cnbc.com/id/101823030

[2]资料来源：国际能源机构，2012年世界能源展望（2012年美元）