Energy Disaggregation for Future AGI Microgrids

disaggregation
microgrids
datacenter

#1

I am creating this thread to stimulate discussion and thought process on how AI Agents may operate cost-effective data centers using microgrids. I hope to facilitate the understanding of Energy Disaggregation and the concept of power generation, transmission and distribution, so the lay person may understand certain economic factors related to the commercialization of AGI technology.

I will start with basic concepts using the U.S. Energy market as a model. And take a deep dive into Google’s DeepMind AI application for facility management.


#2

DATA CENTER. A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes redundant or backup power supplies, redundant data communications connections, environmental controls (e.g. air conditioning, fire suppression) and various security devices.

With the emergence and proliferation of services and applications such as cloud computing and social networks, data centers play an ever important role. It is predicted that global
data center IP traffic will grow 3-fold from 2014 to 2019 with a compound annual growth rate (CAGR) of 25 percent [1].

At the same time, the high energy consumption of data centers is drawing more and more attention due to economic, social, and environmental concerns. Data center electricity consumption in the U.S. alone is projected to increase to roughly 140 billion kilowatt-hours annually by 2020, costing $13 billion in electricity bills and emitting nearly 100 million tons of carbon pollution per year [2].

Big Sur servers inside the Facebook data center use artificial intelligence (AI) to power services like speech and text translations, photo classifiers, and real-time video classification. For Google, Deep Learning AI assist with services such as speech and image recognition, and natural language generation.

SingularityNET is a complex project that started as an AI-as-a-Service marketplace with the idea to evolve it into an entirely self-organizing AI network. The AI Agents within this autonomous network will employ AI to outsource jobs to each other and evolve with each other to further develop the system. [3]

A large data center is an industrial-scale operation using as much electricity as a small town.

REFERENCES
[1] “Cisco Global Cloud Index: Forecast and Methodology, 2014-2019,”

[2] “America’s data centers consuming and wasting growing amounts of
energy,” https://www.nrdc.org/sites/default/files/data-center-efficiency-assessment-IB.pdf

[3] “SingularityNET: Learn About The World’s First Public AI Network On The Blockchain”, Crypto Research by William Thrill https://hackernoon.com/a-better-insight-of-singularitynet-607fd64e18c4


#3

ELECTRIC POWER TRANSMISSION. Electric power transmission is the bulk movement of electrical energy from a generating site, such as a power plant, to an electrical substation. The interconnected lines which facilitate this movement are known as a transmission network. This is distinct from the local wiring between high-voltage substations and customers, which is typically referred to as electric power distribution. The combined transmission and distribution network is known as the “power grid” in North America, or just “the grid”.

Most transmission lines are high-voltage three-phase alternating current (AC), although single phase AC is sometimes used in railway electrification systems. High-voltage direct-current (HVDC) technology is used for greater efficiency over very long distances (typically hundreds of miles).

Electricity is transmitted at high voltages (115 kV or above) to reduce the energy loss which occurs in long-distance transmission. Power is usually transmitted through overhead power lines. Underground power transmission has a significantly higher installation cost and greater operational limitations, but reduced maintenance costs. Underground transmission is sometimes used in urban areas or environmentally sensitive locations.

A lack of electrical energy storage facilities in transmission systems leads to a key limitation. Electrical energy must be generated at the same rate at which it is consumed. A sophisticated control system is required to ensure that the power generation very closely matches the demand.

If the demand for power exceeds supply, the imbalance can cause generation plant(s) and transmission equipment to automatically disconnect or shut down to prevent damage. In the worst case, this may lead to a cascading series of shut downs and a major regional blackout.

Examples include the US Northeast blackouts of 1965, 1977, 2003, and major blackouts in other US regions in 1996 and 2011. Electric transmission networks are interconnected into regional, national, and even continent wide networks to reduce the risk of such a failure by providing multiple redundant, alternative routes for power to flow should such shut downs occur.

Transmission companies determine the maximum reliable capacity of each line (ordinarily less than its physical or thermal limit) to ensure that spare capacity is available in the event of a failure in another part of the network. Source: https://en.wikipedia.org/wiki/Electric_power_transmission


#4

MICROGRID. Microgrid is a localized group of electricity sources and loads that normally operates connected to and synchronous with the traditional centralized electrical grid (macrogrid), but can also disconnect to “island mode” — and function autonomously as physical and/or economic conditions dictate.

In this way, a microgrid can effectively integrate various sources of distributed generation (DG), especially Renewable Energy Sources (RES), and can supply emergency power, changing between island and connected modes. Control and protection are challenges to microgrids.

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Smart microgrids are modern, small-scale versions of the centralized electricity system. They achieve specific local goals, such as reliability, carbon emission reduction, diversification of energy sources, and cost reduction, established by the community being served.

Smart grid is a generic label for the application of computer intelligence and networking abilities to a dumb electricity distribution system. … Integrated, automated communication between components of the electric grid. Sensing and measurement technologies. Automated controls for distribution and repairs.

A smart grid is automated electricity delivery and control system at which devices or “endpoints” located along the power line and on premise can interact with each other. … Utilities Advanced Metering Infrastructure (AMI) is a term denoting automated two-way communication between a smart meter and a utility data center.

A smart meter is a new kind of gas and electricity meter that can digitally send meter readings to your energy supplier for more accurate energy bills. Source: https://en.wikipedia.org/wiki/Microgrid


#5

FACILITY MANAGEMENT. Facility management (or facilities management or FM) is a professional management discipline focused upon the efficient and effective delivery of support services for the organizations that it serves. It serves to ensure the integration of people, systems, place, process, and technology.

FM covers these two main areas: ‘Space & Infrastructure’ (such as planning, design, workplace, construction, lease, occupancy, maintenance, furniture and cleaning) and ‘People & Organisation’ (such as catering, ICT, HR, accounting, marketing, hospitality). These two broad areas of operation are commonly referred to as “hard FM” and “soft FM”.

The first refers to the physical built environment with focus on (work-) space and (building-) infrastructure. The second covers the people and the organisation and is related to work psychology and occupational physiology. According to the International Facility Management Association (IFMA): “FM is the practice of coordinating the physical workplace with the people and work of the organization. It integrates the principles of business administration, architecture and the behavioral and engineering sciences.”


#6

So WTF is Settlement Quality AI Data (SQAID) for microgrids?!

I’ve been racking my brain searching for the bridge between my profession as a Senior Energy Professional in the energy and environmental sector and my new ventures in artificial general intelligence (AGI). And, I’ve discovered the answer…Settlement Quality AI Data (SQAID) for microgrids.

Here’s a bit of history that might help the understanding.

I’ve been active in the California energy sector for since 1995 and have guided public and private organizations through the intricate process of implementing energy and environmental programs. These programs include advanced metering infrastructures, competitive green power supply, distributed and utility scale generation, performance contracting agreements and solar power purchase agreements.

As the Vice President of Sales & Energy Services for Commonwealth Energy Corporation, I managed the San Diego Association of Governments (SANDAG) account and sold over 100 MW of renewable electricity services to their SANDAG members.

When I first arrived at Commonwealth the market was in chaos and the California Energy Crisis looming. As an Energy Service Provider, we were mandated by the California Public Utility Commission to comply and to seamlessly integrate all policy and activities with the Investor Owned Utilities (IOUs) and the California Independent System Operator (California ISO).

At the same time, the IOUs began building Advanced metering infrastructures (AMIs) throughout the state. An AMI is an integrated system of smart meters, communications networks, and data management systems that enables two-way communication between utilities, service providers and customers.

As per the California ISO, “Metering and telemetry ensure operational accuracy. Accurate metering of electricity generated or consumed provides key data inputs for accurate settlement calculations. Direct measurement of a generator or load participant through telemetry allows the ISO to manage and monitor power generation in real-time.”

Therefore the functions of the Meter Service Providers (MSPs) and Meter Data Management Agents (MDMA) were crucial to provide Schedule Coordinators (SCs) with…Settlement Quality Meter Data (SQMD).

Meaning all meter data went through a vigorous Validation, Editing and Estimation (VEE) process and then parceled for various functions related to customer billing, load and financial settlement, load profile creation and procurement forecasting, demand response programs, etc.

So WTF is Settlement Quality AI Data (SQAID) for microgrids?!

By definitiion, microgrids are modern, small-scale versions of the centralized electricity system. They are a localized group of electricity sources and loads that normally operates connected to and synchronous with the traditional centralized electrical grid (macrogrid), but can also disconnect to “island mode” — and function autonomously as physical and/or economic conditions dictate.

SCADA is a control system architecture that uses computers, networked data communications and graphical user interfaces for high-level process supervisory management, but uses other peripheral devices such as programmable logic controllers and discrete PID controllers to interface to the microgrid.

The SCADA computer system handles operator interfaces that enable monitoring and the issuing of process commands, such as controller set point changes. However, the real-time control logic or controller calculations are performed by networked modules that are connected to field sensors and actuators.

So Why is any of this Important?!

So imagine the value created by SQAID, instantaneously read from Smart AI meters, devices and sensors by an AI Schedule Coordinator which controls microgrid operations and facilitates authority having jurisdiction compliance requirements. There could be billions of energy dollar savings created by the use of a common SQAID algorithm.

Imagine an AI Agent using SQAID and acting in the capacity of the traditional MSP, MDMA, SC and SCADA process. And served from a microgrid, guaranteeing reliability, health and life safety, security, and most importantly human and AI comfort and long-term sustainability.

Instantaneously!


How SingularityNET is Advancing Unsupervised Language Learning
#7

@Tim have you heard about this?

Blockchain-based Microgrid in Brooklyn, New York. “In an energy market that is becoming increasingly distributed – whether based on wind, sun, water or biomass – intelligent grids are becoming increasingly important. Siemens microgrid technology is helping communities pioneer the movement toward a self-sufficient energy future. Learn more about the Brooklyn blockchain-based microgrid project developed in collaboration with LO3 Energy.” - Siemens


#8

This video (https://youtu.be/AcufQeaOK1U) discusses “half-hourly settlement”. I believe the settlement algorithm can be nearly instantaneous from any AI device, meter, and/or sensor.


#9

I recently booked a meeting with Seimens that will take place next month, concerning energy reduction projects to their rail division :slight_smile:


#10

Let me know if I can offer any advice. I led their local government team while at Siemens Building Technologies here in California selling Performance Contracts.


#11

Thank you, I may call you on that. The initial meeting is discuss what their current program of projects consists of, and to find out if there are any they are struggling to justify from either a capex or ROI perspective :slight_smile:


#12

@Tim I suspect your overhead and margin requirements are less than Siemens’ energy division and so you might have a real opportunity…lol! :sunglasses:

Which makes a great case for my topic “AGI Microgrids”.

In the United States, the Investor Owned Utilities and independent power producers have fiduciary responsibility to increase shareholder value. They use annual escalation and unforeseen rate hikes to improve earnings.

As such, cost-effective, sustainable energy resource solutions (e.g. microgrids, renewables, alternative energy supply, etc.) are required to mitigate utility expense fluctuations that will negative affect the annual budget, operating capital, and bottom line of any energy-intensive industry.

Essentially, 3rd party energy service providers might leverage their position for economic gain. Thereby, affecting the financial performance of an AI manufacturing facility or data center.


#13

This is one of the most exciting disruptions coming out of block-chain and AI. This is why companies like TEPCO have a TRENDE division.


#14

@beta_decay, yes, online retail sales of renewable energy has been going on for years.

Energy Disaggregation for Future AGI Microgrids will detail the technical, financial, operational, and security process required to create Settlement Quality AI Data (SQAID). AI Energy Agents providing generation, transmission, and distribution services will require SQUAID for their respective offers and transactions.

I have a unique perspective on the market that I hope to share soon. Great info on TRENDE though…thanks! Here’s more.

TEPCO Establishes New Online Renewable Electricity Retail Startup, ‘TRENDE’

New company will enable retail customers to save money and ensure part of their electricity is generated from solar

TOKYO, Mar, 30 2018 - (JCN Newswire) - Tokyo Electric Power Company Holdings, Inc. (TEPCO) announced today the launch of TRENDE Inc., an online renewable energy retailer selling electricity to residential customers in Japan.

Customers will be able to sign up online or with their smartphones for the new service. TRENDE offers a simple and affordable flat rate plan to its customers. The company also offers a premium plan that provides further savings for customers who are heavy consumers of electricity.

TRENDE also plans to offer solar power generation equipment and storage batteries on site at customer residences, in order to create a distributed energy platform.

The new company will be led by 2 serial entrepreneurs, Jeffrey Char and Tadatoshi Senoo. Char successfully built and sold several technology companies in the United States and Japan. Senoo spent a decade at Tokyo Mitsubishi Bank before co-founding Japan’s first and largest social lending enterprise with Char in 2006 and also co-founded Orb, a blockchain startup in 2014.

“The launch of TRENDE demonstrates TEPCO’s commitment to innovative and environmentally responsible approaches to ensuring that residential customers have the energy they need for a sustainable future,” said Mr. Char. “Our easy to use, engaging, and informative platform will help consumers make smart energy choices and save money, while also promoting the use of solar energy.” Added Mr. Senoo, “We are pleased to be working with TEPCO to make residential solar power a reality.”

About TEPCO

Tokyo Electric Power Company Holdings, Inc. (TSE: 9501), headquartered in Tokyo, Japan, is the largest utility in Japan serving millions of homes and businesses. Worldwide the company has more than 34 subsidiaries and 32 affiliates in 8 countries and employs approximately 42,060 people. Consolidated revenue for the fiscal year ending March 31, 2017, totaled 5.3 trillion Japanese yen. The company was established in 1951 and is listed on the First Section of the Tokyo Stock Exchange. For more information, please visit http://www.tepco.co.jp/en/corpinfo/index-e.html

About TRENDE

TRENDE Inc. is an online renewable energy retailer selling electricity to residential customers in Japan via its Ashita Denki service website at https://ashita-denki.jp/. The company is a subsidiary of Tokyo Electric Power Company Holdings, Inc. For more information, please visit http://trende.jp/.