Full Launch of "Subsidy Utilization Consulting" for Grid Storage Batteries Utilizing AI Revenue Prediction Engine "ENES"

Sassor Inc. is fully launching a subsidy utilization consulting service for storage battery businesses. It combines the AI platform "ENES" and expert knowledge to provide precise revenue simulations and long-term strategic planning.
新製品NQ 80/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: April 8, 2026 at 19:00
  • 🔍 Collected: April 8, 2026 at 10:31
  • 🤖 AI Analyzed: April 20, 2026 at 20:47 (298h 16m after Collected)
April 1, 2026

## Overview
Sassor Inc. (Headquarters: Shibuya-ku, Tokyo; CEO: Shuichi Ishibashi; hereinafter "the Company") is fully launching a "Subsidy Utilization Consulting Service" to support businesses considering the introduction of grid-scale storage batteries and storage batteries co-located with renewable energy in applying for subsidies from the government (such as the Sustainable open Innovation Initiative) and the Tokyo Metropolitan Government.

This service is provided in collaboration between our company, which has its proprietary energy AI platform "ENES", and a team of experts from Energy Agri Lab Inc., who are well-versed in power systems. Going beyond simple document drafting, we will accompany the formulation of an "objective and persuasive business plan" that fuses high-precision AI simulation with strategic consulting.

## Background of the Release
As entry into the storage battery business accelerates toward the realization of carbon neutrality, utilizing subsidies is essential in this business, which involves a large amount of initial investment (CAPEX). However, the hurdle for subsidy screening in recent years has been rising year by year; strict inquiries are made not only into formal documents but also into "precise income and expenditure plans" incorporating power market volatility and "business continuity."

To date, our company has provided precise simulations using AI to numerous business operators. This time, by combining Energy Agri Lab's deep regulatory knowledge of the power industry with our AI technology, we have launched next-generation subsidy utilization support aimed at improving the probability of adoption and realizing investment recovery.

## 4 Core Values of This Service
*1. "Data-based backing" to facilitate reviewers' understanding: Precise income and expenditure simulation in 30-minute increments by AI*
Simulates complex multi-revenue models, such as JEPX (wholesale power market), supply and demand adjustment market, and capacity market, in 30-minute increments. By formulating a plan that considers conditions such as battery degradation characteristics and grid constraints, it contributes to improving explanatory power during screening.

*2. Strategy formulation anticipating future system changes: Design to make the business viable in the medium to long term*
Utilizing the knowledge of Energy Agri Lab, we support the formulation of business plans based on structural changes in the power system and fluctuation risks in the market environment, such as the review of Net CONE in the capacity market and the day-ahead marketization of the supply and demand adjustment market. We help build investment decisions and business plans equipped with medium- to long-term resilience, avoiding the risk of the business becoming unsustainable a few years later (stranded assets).

*3. Provision of an "Interactive Simulator" that speeds up investment decisions*
In addition to advanced analysis by the expert team, we provide a dedicated environment where operators themselves can change battery capacity and market price scenarios to immediately check fluctuations in profit and loss (PL). This enables speedy and convincing decision-making when comparing multiple candidate sites or equipment models.

*4. Simultaneous construction of an "Operational Strategy" anticipating post-adoption (One-stop support)*
Obtaining a subsidy is not the goal. Based on the adopted business plan, we provide end-to-end support from performance reporting after the grant decision to the actual operation of optimal charge/discharge control (VPP control algorithm) after the business starts. We undertake initiatives to reduce the gap between the plan and actual conditions.

## Past Support Achievements
Through high-precision simulations using "ENES", we have defined requirements and backed up the monetization of the following storage battery projects.

*Multi-market linked PL simulation for grid storage batteries*
For large-scale operators considering new market entry, we simulated long-term revenue and expenditure when optimally combining three markets: the capacity market (reflecting the Net CONE review), the supply and demand adjustment market, and the wholesale power market. It was utilized as core evidence in Go/No-Go decisions for commercialization and in explanations to financial institutions, etc.

*Optimization of ROI for storage batteries co-located with renewable energy*
We predicted the optimal capacity of storage batteries co-located with solar power plants and the market sales revenue under the FIP system. We test-calculated multiple operational scenarios to maximize the IRR (Internal Rate of Return) meeting the subsidy requirements, supporting the adoption process.