Microsoft Energy Japan

JERA Co., Inc.

Enterprise Knowledge Search · Predictive Maintenance

The trend towards energy decarbonization to achieve a sustainable society is gaining momentum around the world, prompting energy companies to adapt to a new era of energy supply that doesn’t rely on fossil fuels. In addition, a shortage of workers due to a shrinking and aging workforce and energy circumstances that vary by country are also major challenges for the energy industry.

(hereafter JERA) is the largest energy company in Japan, supplying approximately 30% of the electricity generated domestically.

Reported impact

Business outcome

After the system has been implemented on-site, improvements will be made by monitoring actual application within the operational processes. Kamei expressed his high expectations for the system: "Knowledge stored within EKA will continue to expand, so I am excited to see the changes in the search results that the AI provides.”

Solution

JERA Co., Inc. (hereafter JERA) is the largest energy company in Japan, supplying approximately 30% of the electricity generated domestically. With the mission of “providing cutting-edge solutions to the world’s energy issues,” JERA is engaged in the procurement of fuel, as well as the operation and maintenance of power plants for the stable supply of electricity both domestically and internationally. The trend towards energy decarbonization to achieve a sustainable society is gaining momentum around the world, prompting energy companies to adapt to a new era of energy supply that doesn’t rely on fossil fuels. In addition, a shortage of workers due to a shrinking and aging workforce and energy circumstances that vary by country are also major challenges for the energy industry.

Data flow

Norihisa Tegawa, Executive Officer of Global Data Analyzing Center, O&M & Engineering Strategy Division of JERA says, “In order to maintain a stable energy supply while responding to major social structural changes such as decarbonization, globalization, and the declining birthrate and aging population, we believe in the need to change the way of working.” Tegawa continues; “On the other hand, we must not forget the tremendous value of the on-site technology and know-how that we have accumulated over the years. In July 2023, Global Data Analyzing Center (G-DAC) was established to provide a...

Solution architecture

2 components · 1 layer
  1. Compute
    • Azure OpenAI Service Runs large-language-model capabilities for conversational assistance, summarization, and insight generation.
    • Microsoft Azure Provides the cloud infrastructure, security, and scaling foundation for the solution.

Architecture clues

  • DPP's primary role is to contribute to the stable supply of energy and sustainable power plant operations through transformations that utilize digital technology and data,” says Kamei.
  • In July 2023, Global Data Analyzing Center (G-DAC) was established to provide a 24-hours-a-day remote monitoring service to the power plants.
  • In addition, JERA is working on various initiatives to realize “data-driven operation and maintenance,” which combines the vast amount of user technology and power plant operation know-how accumulated to date in a database with state-of-the-art digital technology.
  • Kamei explains the significance of the DPP project with the following: “The DPP project aims to create new value and a way of working that fosters co-creation among diverse personnel by linking equipment, people, data, and knowledge as one.”
  • Norihisa Tegawa, Executive Officer of Global Data Analyzing Center, O&M & Engineering Strategy Division of JERA says, “In order to maintain a stable energy supply while responding to major social structural changes such as decarbonization, globalization, and the declining birthrate and aging population, we believe in the need to change the way of working.” Tegawa continues; “On the other hand, we must not forget the tremendous value of the on-site technology and know-how that we have accumulated over the years.
  • The first collaborative project between the two companies was the development of an innovative communication platform utilizing industrial metaverse, which combines digital twin and metaverse technologies, and generative AI technology.

Evidence from the source

(hereafter JERA) is the largest energy company in Japan, supplying approximately 30% of the electricity generated domestically.
At the press conference on October 10, 2023, JERA and Microsoft were able to present the result of their first joint development, along with JERA’s state-of-the-art power plant that boasts the world’s highest power generation efficiency.
JERA Co., Inc.
The DPP project will further accelerate this initiative.
“By enabling a 24-hours-a-day remote monitoring service, we will be able to provide value by preventing potential problems and by improving power plant availability through quick identification of problem causes.
“In order to accelerate the DPP project, we felt it necessary to collaborate with Microsoft, whose strengths lie in cutting-edge digital technologies such as cloud computing and AI,” said Kamei.
Transparency Evidence & methodology 76/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value76/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    JERA Co., Inc. customer story

    First-party
    https://www.microsoft.com/en/customers/story/1779510859940860590-jera-co-inc-azure-openai-services-energy-en-japan
    Source type
    Vendor-published customer story
    Published
    Jun 26, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Jun 26, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.