One Plant. Five Customers. Zero Conflicts.

One solar+battery plant. Three industrial customers. All need power simultaneously.

Who gets what? AI decides. Every 5 minutes. Based on contract terms.

The challenge

Traditional Model:

• One plant → One customer
• Simple delivery
• Clear commitments
• Straightforward

Multi-Customer Model:

• One plant → 3-5 customers
• Shared infrastructure = lower costs
• Different contract terms
• Competing peak demands

Challenge: When solar limited, who gets priority?

Wrong Answer: First come first served. Rotating. Manual decisions.

Right Answer: AI optimization based on contract tiers.

Conflict scenario

Cloudy Afternoon. 60 MW Plant. 38 MW Available.

Three Customers (52 MW Total Demand):

Customer A (Steel, Tier 1):

• 22 MW commitment
• ₹6.1/kWh + 2.5% escalation
• Under-delivery penalty: ₹12.5/kWh
• Priority: Critical

Customer B (Chemical, Tier 2):

• 18 MW commitment
• ₹5.9/kWh fixed 20 years
• Under-delivery penalty: ₹11/kWh
• Priority: High

Customer C (Textile, Tier 3):

• 12 MW commitment
• ₹6.3/kWh + 1.5% escalation
• Under-delivery penalty: ₹10/kWh
• Priority: Medium

Total: 52 MW demand. 38 MW solar + battery available.

AI allocation

Customer A: 22 MW (100%) from solar — Tier 1 protected Customer B: 15 MW (83%) solar+battery — Tier 2 partial OK Customer C: 3 MW (25%) from solar — Tier 3 uses grid backup

90 minutes later: Sun returns. All back to 100%. Battery recharging.

Day end results:

• Customer A: 99.8% delivery
• Customer B: 97.1% delivery
• Customer C: 94.2% delivery
• All exceed contract targets

AI optimizes by contract tier. Not guesswork.

Why multi-customer works

High-Priority Customers:

• Pay premium tariff
• Get first priority
• 99.5% delivery target
• Maximum reliability

Medium-Priority Customers:

• Standard tariff
• Occasional brief grid backup
• 97% delivery target
• Lower cost, good reliability

Flexible Customers:

• Lowest tariff
• Regular grid backup use
• 93% delivery target
• Maximum savings with safety net

Everyone gets contracted service level.

Shared infrastructure economics

Traditional: One Plant, One Customer

• 40 MW dedicated
• Built for peak
• 65% average utilization
• 35% overcapacity waste
• Higher per-unit cost

Multi-Customer: One Plant, 3-5 Customers

• 60 MW shared
• Diversified demand patterns
• 87% average utilization
• Better asset efficiency
• 15-25% lower per-unit cost

Why cheaper:

• Load diversity: Not everyone peaks together
• Battery optimization: Shared storage more efficient
• Weather averaging: Multiple locations smoother
• Scale benefits: Larger plant = lower $/MW

You pay less because we serve efficiently.

Contract structure

Every PPA Specifies:

Priority Tier:

• Tier 1: Premium (highest priority, premium rate)
• Tier 2: Standard (medium priority, standard rate)
• Tier 3: Flexible (lowest priority, lowest rate)

Delivery Guarantee:

• Tier 1: 99.5% target
• Tier 2: 97% target
• Tier 3: 93% target + grid backup rights

Penalty Structure:

• Proportional to tier
• Higher tier = higher penalties
• Lower tier = lower penalties but lower cost

Grid Backup:

• All maintain grid connection
• Tier 3 uses grid frequently
• Tier 1 uses grid rarely (emergencies)

Transparency:

• Live dashboard
• Historical performance
• AI decision visibility
• Privacy protected (no competitor data)

Performance targets

75 MW Plant. Four Customers.

Customer 1 (Sponge Iron, Tier 1):

• 32 MW commitment
• 99.5% delivery target
• <0.5% shortfall tolerance
• Highest priority

Customer 2 (Cement, Tier 2):

• 28 MW commitment
• 97% delivery target
• <50 hours annual grid backup
• High priority

Customer 3 (Textile, Tier 2):

• 18 MW commitment
• 97% delivery target
• <110 hours annual grid backup
• High priority

Customer 4 (Food Processing, Tier 3):

• 15 MW commitment
• 93% delivery target
• <190 hours annual grid backup
• Medium priority

AI optimization: Every 5 minutes, 24/7 Target: All customers meet or exceed targets

How AI prioritization works

Every 5 Minutes:

1. Read contract tier for each customer
2. Check current vs committed delivery
3. Review recent performance
4. Analyze weather forecast

Then Allocate:

1. Sort by tier (Tier 1 highest)
2. Allocate solar to highest tier first
3. Use battery for next tier if needed
4. Reserve buffer for emergencies
5. Update as conditions change

Contract-based optimization. Not guesswork.

Customer dashboard

Your Performance:

• Real-time: Current vs commitment
• Hourly: Last 24 hours chart
• Monthly: Compliance score
• Annual: YTD tracking

Plant Status (Shared):

• Solar generation
• Battery state
• Weather forecast
• Maintenance windows

Privacy Protected:

• You see your data only
• No competitor names
• No competitor allocations
• No others' penalties

Transparency + privacy.

When multi-customer doesn't work

Not suitable for:

• Nuclear facilities (dedicated required)
• Hospitals (medical-grade redundancy)
• Data centers requiring 99.999% uptime
• Zero grid backup acceptable

These need Dedicated Plant + Reliability tier:

• Dedicated solar + plant BESS, plus on-site BESS at your facility
• Higher cost per unit, maximum reliability
• On-site battery ensures uptime independent of transmission
• Hydrogen add-on for multi-hour backup

We build both. Different needs = different solutions.

CFO question

"Why share a plant? Sounds risky."

Three reasons:

1. Economics:

• 15-25% lower cost vs dedicated
• Better utilization through diversity
• Shared infrastructure = shared savings

2. Reliability:

• AI prevents conflicts
• Larger shared plant battery = more evening hours, fewer curtailments, better delivery across all customers
• Multiple customers = maintenance economies
• For true uptime guarantee, add on-site BESS at your facility (Tier 1 customers typically do this)

3. Contract Protection:

• Tier guarantees your priority
• Delivery targets matched to tier
• Contract terms enforceable

Your power costs less. AI makes sharing efficient. Your tier protects delivery.

Competitive advantage

Your Industry:

• Everyone pays similar for raw materials
• Power = 25-35% of production cost
• Small cost advantage = big competitive win

Your Competitors:

• Grid rates (escalating 8% annually)
• Or dedicated solar (20% premium)
• Or outdated contracts

You with Multi-Customer PPA:

• 15-25% less than grid
• 15-20% less than dedicated solar
• Fixed rate protects margins

Cost advantage compounds annually.

How we structure plants

Site Selection:

• Near 3-5 industrial clusters
• Good solar irradiance
• Grid connectivity available
• Land acquisition complete

Customer Mix:

• Diverse industries (different peaks)
• Similar reliability needs
• Complementary schedules
• Long-term commitments

Plant Sizing:

• Sum of peaks × 0.75 (diversity factor)
• Battery: 4-6 hours storage
• Grid connection: 40% of solar capacity

Contract Negotiation:

• Tier assignment based on needs + pricing
• Delivery targets matched to tier
• Penalties scaled to priority
• All customers sign before construction

Result: Efficient shared plant. Lower costs. AI-optimized delivery.

For energy managers

Questions to ask:

• How many customers per plant?
• What tier am I?
• What's my delivery target?
• How does AI handle shortfalls?
• Can I see competitors' data? (Answer: No)

Our Answers:

• 3-5 customers typical
• Tier based on needs + pricing
• 93-99.5% delivery (tier-matched)
• AI allocates by contract tier
• Privacy protected

For 10-50 MW industrial facilities.

For CFOs wanting solar savings without dedicated plant premium.

For operations needing reliable power at lowest cost.

We build multi-customer solar+battery plants optimized by AI. Lower cost than dedicated. 99.5% delivery through intelligent allocation. Your tier protects operations.

Request a feasibility study—we'll show which tier fits your needs, cost vs dedicated solar, and AI allocation methodology that protects your delivery.

Disclaimer: Scenarios and performance data are design targets. Results vary by tier, location, weather, demand, and performance. Not a guarantee or binding offer. Contact us for project-specific analysis.