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Industrial Energy Optimization

Steel Plant Energy Optimization

Comprehensive energy analysis and BESS deployment for JSPL, spanning DSM penalty avoidance, demand charge management, Exchange energy arbitrage, and digital twin modeling for one of India's largest steel producers.

Jindal Steel & Power Limited (JSPL)
Angul & Raigarh, India
SteelHeavy IndustryDigital TwinBESS SizingExchange ArbitrageDSM
₹30Cr+
DSM Savings
15 MW
BESS Size
430 MW
Demand
12
Strategies
Steel Plant Energy Optimization
Jindal Steel & Power Limited (JSPL)
Overview

Project Background

Jindal Steel & Power Limited (JSPL), one of India's largest integrated steel producers, engaged Ingro Energy for comprehensive energy analysis and BESS deployment across their operations. The project spans JSPL's Angul facility in Odisha (featuring 2×70 MW Electric Arc Furnaces and a captive thermal power plant) and their Raigarh operations, addressing DSM penalty avoidance, demand charge management, reactive power optimization, and Exchange energy arbitrage.

This is one of Ingro's most technically complex industrial engagements, involving deep analysis of real plant metering data, ETAP power system studies, Exchange market integration modeling, and BESS sizing optimization for a facility with extreme load dynamics.

The Challenge

What the Client Faced

1

Extreme load dynamics, Two 70 MW Electric Arc Furnaces creating ~37 swing events per day with ~40 MW average deviation per event

2

DSM penalty exposure exceeding ₹30 Crore/year from 12-16 minute deviation windows during EAF switching

3

Demand charge overruns, total load reaching ~450 MW, breaching the 430-440 MW contractual demand

4

Infirm power waste, captive thermal plant generating excess power, with infirm energy increasing 93% year-over-year

5

Poor power factor from EAFs (0.70-0.85) driving reactive power charges

6

Complex grid interconnection, 33 kV BESS into 220 kV and 400 kV buses requiring protection coordination

The Ingro Solution

What We Delivered

Comprehensive Plant Analysis: Analyzed 12 months of 1-second interval metering data identifying EAF cycling patterns, DCPP ramp limitations, and grid dynamics

BESS Sizing Optimization: Parametric simulation proving 15 MW/30 MWh captures majority of savings with better ROI. Ran 12 trading strategies including MILP, DP, and Q-Learning

Exchange Arbitrage Integration: Comprehensive commercial model integrating Exchange DAM/RTM prices, open access charges, and full cost accounting

ETAP Power System Study: Load flow, short circuit (40 kA at 33 kV), and protection coordination for 15 MW BESS interconnection

Digital Twin: Dynamic model of JSPL's entire electrical infrastructure (400 kV / 220 kV / 33 kV) to simulate BESS impact

Results & Impact

Key Outcomes

DSM Penalty Savings₹30+ Crore/year potential
Demand Charge Savings₹3.6-5.4 Crore/year
Optimal BESS Size15 MW / 30 MWh (best ROI)
Exchange Revenue PotentialModeled with 12 trading strategies
EAF Events Analyzed~37 swing events/day characterized
Infirm Energy93% increase identified and monetized
Technology

Technology Stack

Ingro Cloud EMS + Battery AIETAP power system simulationPython-based BESS optimization (MILP, DP, Q-Learning)Exchange DAM/RTM integration modelDigital Twin (electrical network)
Client

Jindal Steel & Power Limited (JSPL)

Steel Manufacturing, Angul & Raigarh, India

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