• Product
  • Suppliers
  • Manufacturers
  • Solutions
  • Free tools
  • Knowledges
  • Experts
  • Communities
Search


Modular Industrial and Commercial Energy Storage System : The Tailored Energy Storage Solution for Obsolete Industrial Infrastructure

Ⅰ. Energy Pain Points and Retrofitting Needs in Aging Industrial Parks

  1. High Electricity Costs
    • Significant peak-valley price disparity (e.g., peak: ¥1.2/kWh vs. valley: ¥0.3/kWh), with peak-hour consumption accounting for over 40% of total costs.
    • Insufficient transformer capacity, coupled with prohibitively high expansion costs (over ¥500,000 per unit upgrade).
  2. Spatial and Equipment Limitations
    • Compact layout leaves no reserved space for energy storage, making traditional containerized energy storage systems unfeasible.
    • Aging equipment with low efficiency and lack of real-time monitoring, resulting in 20%-30% higher energy intensity than advanced factories.
  3. Poor Power Supply Stability
    • Unexpected blackouts cause production interruptions, incurring annual losses exceeding millions; inadequate backup energy storage capacity.
  4. Carbon Pressure and Policy Drivers
    • High reliance on traditional energy sources triggers surging carbon tax costs (e.g., annual emissions >1,500 tons risk million-level fines).
    • Government subsidies (e.g., ¥0.5/kWh for energy storage) incentivize upgrades.

II. ICESS Core Solutions

  1. Modular Energy Storage System: Overcoming Spatial Constraints
    • Ultra-slim design: ≤90cm-wide modular units (e.g., SigenStack) embed into building gaps/equipment interlayers without foundation modifications.
    • Distributed load-bearing: Single-unit weight <300kg; two-person installation adapts to structural limits of aging plants.
    • Scalable capacity: From 100kW/200kWh to 10MW+ (supporting Li-ion, flow batteries, etc.).
  2. Integrated PV-Storage-Charging: Dynamic Energy Optimization

​Component

​Solution

​Benefits

PV Generation

Mono-crystalline panels (≥22% efficiency) on roofs/carports; AI-powered yield forecasting; anti-reverse protection to avoid grid penalties.

Annual output: 2.4M kWh (2MW system), covering 30% of daytime load.

Smart Storage

Valley-charging & peak-discharging (price arbitrage); demand management to flatten load curves (30% peak-load reduction on transformers).

30% higher ROI per cycle; payback period <4 years.

Charging Piles

7-240kW full coverage; time-of-use pricing + sequential charging (prevents transformer overload).

60% lower charging cost for forklifts; 40% reduction for employee vehicles.

3.​Multi-Timescale Energy Storage Configuration

​Storage Type

​Response Time

​Application Scenario

​Aging Plant Case

Supercapacitors

<1 second

Voltage sag support; elevator regenerative absorption.

Ensures uninterrupted precision instrument production.

Li-ion Storage

Minutes

Daily peak shaving (2-4h discharge).

Replaces diesel generators for 2h emergency backup.

LH₂/Compressed Air

Hours+

Weekly/monthly regulation; winter heating.

Repurposes abandoned pipelines for energy storage (Xiaoshan case).

III. AI-Driven Smart Management Platform

  • Real-time monitoring: Integrates PV, storage, and charging pile data for dynamic "source-grid-load-storage" visualization.
  • AI-powered scheduling: Prioritizes green energy consumption; automatically dispatches storage/grid power during shortages; adjusts non-urgent production lines/charging pile load.
  • Carbon management: Auto-generates emission reports aligned with industry standards; supports carbon credit trading.
  • Smart O&M: Proactive fault alerts (>95% accuracy); automated work orders; 50% higher maintenance efficiency.

IV. Retrofitting Implementation Roadmap

  1. Spatial Assessment & Design
    • Use BIM scans to identify idle space (e.g., gaps ≥90cm can deploy 1MWh systems).
  2. Phased Deployment
    • Phase 1: Modular storage + smart charging piles (commissioned in 3 months for basic peak-shaving).
    • Phase 2: Expand rooftop PV + long-duration storage (e.g., retrofit abandoned hydrogen tanks for LH₂ storage).
  3. Policy & Funding Coordination
    • Secure local subsidies and green loans.

V. Benefit Analysis

​Metric

​Pre-retrofit

​Post-retrofit

​Improvement

Annual Electricity Cost

¥24 million

¥19 million

↓20.8%

Transformer Expansion Need

30% capacity increase

Zero new capacity

Saves ¥3 million

Power Supply Reliability

20 hours downtime/yr

<2 hours downtime/yr

↑90%

Carbon Reduction

1,500 tons/yr

Certified Zero-Carbon Park

Provincial Green Factory Award

VI. Case Study: Mannheim Energy Hub Transformation
Pain Point: An 8-hectare retired coal plant site with dense underground pipelines; zero available land for new large-scale storage.
Solution:

  • Maximized existing infrastructure: Integrated original grid access points to deploy 50MW/100MWh LFP storage (zero new land use).
  • Space-optimized embedding: 30 ISO-standardized containerized units retrofitted into abandoned plant structures.
    Benefits:
  • Scalability & Capacity: Annual peak-shaving = 200% of local peak load; 100MWh storage powers critical industries >2 hours.
  • Environmental & Economic Returns:
    • Annual CO₂ reduction: 7,500 tons (equivalent to 3M liters of fuel saved or 85+ hectares reforested).
    • Annual revenue >€1.5M via electricity arbitrage & grid frequency regulation services.
06/26/2025
Recommended
Engineering
Integrated Wind-Solar Hybrid Power Solution for Remote Islands
Abstract​This proposal presents an innovative integrated energy solution that deeply combines wind power, photovoltaic power generation, pumped hydro storage, and seawater desalination technologies. It aims to systematically address the core challenges faced by remote islands, including difficult grid coverage, high costs of diesel power generation, limitations of traditional battery storage, and scarcity of freshwater resources. The solution achieves synergy and self-sufficiency in "power suppl
Engineering
An Intelligent Wind-Solar Hybrid System with Fuzzy-PID Control for Enhanced Battery Management and MPPT
Abstract​This proposal presents a wind-solar hybrid power generation system based on advanced control technology, aiming to efficiently and economically address the power needs of remote areas and special application scenarios. The core of the system lies in an intelligent control system centered around an ATmega16 microprocessor. This system performs Maximum Power Point Tracking (MPPT) for both wind and solar energy and employs an optimized algorithm combining PID and fuzzy control for precise
Engineering
Cost-Effective Wind-Solar Hybrid Solution: Buck-Boost Converter & Smart Charging Reduce System Cost
Abstract​This solution proposes an innovative high-efficiency wind-solar hybrid power generation system. Addressing core shortcomings in existing technologies—such as low energy utilization, short battery lifespan, and poor system stability—the system employs fully digitally controlled buck-boost DC/DC converters, interleaved parallel technology, and an intelligent three-stage charging algorithm. This enables Maximum Power Point Tracking (MPPT) over a wider range of wind speeds and s
Engineering
Hybrid Wind-Solar Power System Optimization: A Comprehensive Design Solution for Off-Grid Applications
Introduction and Background​​1.1 Challenges of Single-Source Power Generation Systems​Traditional standalone photovoltaic (PV) or wind power generation systems have inherent drawbacks. PV power generation is affected by diurnal cycles and weather conditions, while wind power generation relies on unstable wind resources, leading to significant fluctuations in power output. To ensure a continuous power supply, large-capacity battery banks are necessary for energy storage and balance. However, bat
Send inquiry
Download
Get the IEE Business Application
Use the IEE-Business app to find equipment, obtain solutions, connect with experts, and participate in industry collaboration anytime, anywhere—fully supporting the development of your power projects and business.