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:
- Read contract tier for each customer
- Check current vs committed delivery
- Review recent performance
- Analyze weather forecast
Then Allocate:
- Sort by tier (Tier 1 highest)
- Allocate solar to highest tier first
- Use battery for next tier if needed
- Reserve buffer for emergencies
- 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.