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ECO 101 · Unit 1 · Lesson 3 of 5

Supply and Producer Costs

Markets and Prices

Lesson

The supply curve is a marginal cost ladder

Amara Okafor posted three numbers on the war room wall: coal $0.042/kWh, solar $0.031/kWh, gas peaker $0.067/kWh marginal energy cost. A board member asked, "Why not run only solar?" Because supply is about which plants turn on next, not average portfolio virtue. On a cloudy July evening, solar output falls and the marginal unit is gas or imported power.

Supply summarizes quantity producers willingly sell at each price. For regulated utilities, supply is constrained by plant availability, fuel contracts, emissions permits, and PUC-approved resource mix.

ClearPeak Energy is a regulated regional electric utility serving 1.2 million residential and commercial customers across twelve counties and the anchor organization for ECO 101. The utility faces retiring 2,400 MW of coal while adding 1,800 MW of utility-scale solar and battery storage by 2030, peak summer demand near 8,500 MW, and an average residential bundled rate of $0.118/kWh (kilowatt-hour, enough electricity to run ten 100-watt bulbs for one hour). Chief Economist Dr. Elena Vasquez, Regulatory Affairs VP Tom Bradley, and Grid Planning Director Amara Okafor use microeconomic tools for rate design, capacity planning, competitive response, and State Public Utilities Commission (PUC) testimony. Marginal generation costs differ sharply: legacy coal near $0.042/kWh, new solar near $0.031/kWh, and gas peakers near $0.067/kWh when scarcity bites.

Every lesson applies supply, demand, elasticity, marginal analysis, market structure, or incentive design to decisions ClearPeak leaders actually face: when to retire plants, how to price time-of-use tiers, how to bid in capacity auctions, and how to respond when rooftop solar erodes sales.

Marginal cost and the supply curve

In competitive wholesale energy markets, the industry supply curve stacks generators from lowest to highest MC. ClearPeak's merit order dispatches solar first, then coal, then gas at peak.

Graph (described in prose): ClearPeak wholesale supply stack (simplified). Imagine a standard microeconomics diagram with quantity (MW dispatched) on the horizontal axis and marginal cost ($/kWh) on the vertical axis. Not shown; focus on producer side. Supply is a step function: solar flat near $0.031/kWh up to available MW, coal near $0.042/kWh, gas peaker near $0.067/kWh at the right tail. If demand intersects the stack at 7,200 MW, all solar and coal below that run; marginal unit sets price near $0.042-$0.067 depending on capacity. Retiring 2,400 MW coal removes a horizontal segment; the supply stack shifts left, raising marginal cost hours.

Fixed versus variable costs

Fixed costs (plant debt service, baseline labor) do not change with tomorrow's MWh. Variable costs (fuel, purchased power) do. Supply decisions for next hour use variable and marginal cost; capacity decisions (build solar farm) use total cost including fixed.

Sunk fixed costs do not belong in dispatch. Coal plant fixed O&M does not justify running coal if spot price is below variable fuel cost except for reliability must-run orders.

Law of supply and producer surplus

Law of supply: higher price raises quantity supplied, ceteris paribus. Producer surplus is area between price received and MC. When wholesale price spikes to $0.15/kWh during scarcity, gas peakers earn surplus on inframarginal units.

Regulated returns cap how much surplus ClearPeak retains; Tom negotiates revenue requirement (allowed revenue to cover prudent costs plus return) with the PUC.

Supply shifters

Technology lowers solar MC (supply shifts right). Fuel price shocks shift gas segment up. Emissions rules add carbon cost to coal. Interconnection delays shift solar right more slowly than planners assume.

Labor shortages raise maintenance costs, shifting supply left. Amara tracks each shifter in the annual integrated resource plan (IRP, long-range capacity roadmap).

Short-run versus long-run supply preview

Short-run supply uses existing plants. Long-run supply includes building new solar, batteries, and transmission. ClearPeak's coal retirement is a long-run supply contraction unless replacement MW arrive on time.


Worked example: July 18 dispatch hour

Peak hour demand 8,100 MW; available solar 1,100 MW (cloud cover); coal max 2,000 MW; gas available 1,500 MW.

Part A: Merit order dispatch

Order: 1,100 MW solar @ $0.031 → 2,000 MW coal @ $0.042 → 4,000 MW needed still → gas @ $0.067 fills 1,500 MW → 500 MW shortage unless demand response or imports.

Part B: Marginal unit and price

Marginal unit is gas at $0.067/kWh; wholesale clearing price likely near gas MC plus scarcity premium. Producer surplus accrues to inframarginal solar and coal units paid higher price.

Part C: Supply shift if coal retired

Remove 2,000 MW coal before batteries online: same demand intersects stack at higher step; marginal cost hours rise. Check: 1,100+1,500=2,600 MW firm without coal vs 8,100 demand → gap 5,500 MW ✓

Part D: Managerial read

Delay coal retirement until at least 2,000 MW firm replacement or face import dependence. Elena quantifies MC of shortage as VOLL (value of lost load, economic cost per kWh not served*) often $5-$10/kWh in planning studies.


Worked example: PrairieCoal Utilities: average cost dispatch error

PrairieCoal dispatched plants by average cost, over-running expensive coal. Variable-cost merit order would have saved $18 million in fuel. ClearPeak's dispatch model is marginal-cost first.


Common mistakes beginners make

MistakeReality
Using average portfolio cost for dispatchRank plants by next-hour marginal cost
Treating solar nameplate as always-on supplyApply capacity factors and weather
Ignoring must-run reliability constraintsSeparate economic dispatch from reliability orders
Fixed cost in short-run supplyShort-run supply uses variable/MC only
Forgetting supply shifts when coal retiresModel stack after each retirement milestone

Practice problem

Solar 1,400 MW @ $0.031; coal 2,400 MW @ $0.042; gas 800 MW @ $0.067. Demand 6,000 MW.

(1) How much of each resource runs? (2) What is marginal MC? (3) If coal retires entirely with no replacement, what is the maximum MW ClearPeak can serve from solar+gas?

Solution

(1) Solar 1,400 + coal 2,400 + gas 800 = 4,600... demand 6,000 needs 1,400 more → coal and gas fully utilized; solar 1,400; coal 2,400; gas 800 still short 1,400 MW (imports or DR required).

(2) Marginal unit at full utilization is gas $0.067/kWh if last MW is gas; if shortage, price spikes above MC.

(3) Max solar+gas = 1,400+800 = 2,200 MW without coal.

Check: 2,200 < 6,000 shows retirement risk ✓

Key takeaways

  • Supply reflects marginal cost stacking, not average virtue.
  • Fixed costs shape capacity investment; variable MC shapes hourly dispatch.
  • Coal retirement shifts supply left unless replacement MW arrive.
  • Producer surplus appears in scarcity hours; regulation may claw it back.
  • ClearPeak merit order: solar, coal (legacy), gas at peak.

After this lesson

  1. List ClearPeak supply shifters active this year.
  2. Explain why solar MC $0.031 does not mean all hours are cheap.
  3. Continue to Lesson 4: Market Equilibrium.

Applying Supply and Producer Costs at ClearPeak scale

When ClearPeak Energy evaluates supply and producer costs, Dr. Elena Vasquez starts from operational facts: 1,200,000 customers, peak demand near 8,500 MW, residential bundled rate $0.118/kWh, and a portfolio transition that retires 2,400 MW of coal while adding 1,800 MW of solar. supply, demand, equilibrium, and market adjustments is not textbook decoration; it is how Tom Bradley prepares State Public Utilities Commission (PUC) filings and how Amara Okafor ranks transmission and storage options under binding capital budgets.

Graph (described in prose): Supply and Producer Costs at ClearPeak. Imagine a standard microeconomics diagram with quantity (megawatt-hours or customer count, depending on the decision) on the horizontal axis and price ($/kWh) or marginal cost ($/kWh) on the vertical axis. The demand curve slopes downward: at higher retail rates, customers conserve, shift load to off-peak hours, or install rooftop solar. The supply curve in the short run reflects rising marginal cost as ClearPeak dispatches coal, combined-cycle gas, and expensive peakers. Equilibrium is where quantity demanded equals quantity supplied at a price regulators allow; in regulated markets, equilibrium is a negotiated outcome, not only a frictionless auction. When ${title.toLowerCase()} changes, curves shift: new solar lowers long-run supply cost; heat waves shift demand right; competitor solar leases shift demand left for utility energy. Shaded consumer surplus and producer surplus (or deadweight loss when prices depart from marginal cost) translate directly into affordability testimony and earnings impacts.

Work a magnitude check. Suppose a policy tied to supply and producer costs moves residential sales by 1% at current scale. One percent of 1,200,000 customers is 12,000 accounts. At roughly 900 kWh per month average use and $0.118/kWh, a 1% quantity change moves monthly revenue by about $1.3 million before fuel cost adjustments. Executives who skip arithmetic like this debate symbols without stakes.

Extended ClearPeak scenario: regulatory and competitive read

Imagine ClearPeak's quarterly review on supply and producer costs. Finance asks whether a rate increase recovers rising gas peaker costs. Operations asks whether demand response can defer a $400 million substation upgrade. Commercial customers ask for advanced metering discounts. Rooftop solar installers tell regulators ClearPeak exercises market power. A weak supply, demand, equilibrium, and market adjustments answer addresses only one audience. A strong answer links curves, elasticities, and marginal costs to each stakeholder's metric.

Dr. Vasquez uses a three-panel narrative. Panel one: short-run dispatch when peak load hits 8,500 MW and peakers set marginal cost near $0.067/kWh. Panel two: long-run portfolio when solar at $0.031/kWh displaces coal at $0.042/kWh plus carbon compliance. Panel three: competitive fringe where distributed solar at $0.09/kWh effective price steals high-margin afternoon sales. Supply and Producer Costs supplies vocabulary to keep the panels consistent.

Numerical discipline example: if price elasticity of residential demand is -0.35 (a 1% price rise cuts quantity about 0.35%), a 4% rate increase reduces energy sales roughly 1.4% in the short run. Combined with weather normalization, Elena reports a bounded revenue forecast instead of pretending demand is fixed. Regulators punish utilities that ignore elasticity in revenue requirement testimony.

Technical mechanics and reconciliation checks

For supply and producer costs, ClearPeak analysts show work the way accountants show trial balances. A supply table lists plant, capacity MW, heat rate, variable O&M, fuel cost, and marginal cost per MWh (megawatt-hour). A demand table lists customer class, price, quantity, and expenditure. Equilibrium checks that quantity demanded equals scheduled dispatch within reserve margin rules. Elasticity checks recompute percent changes with the same denominator conventions used in the tariff filing.

Use explicit formula lines before plugging numbers. Elasticity = percent change in quantity demanded divided by percent change in price. Marginal cost = change in total cost divided by change in output. Marginal revenue = change in total revenue divided by change in quantity sold. Consumer surplus approximates the area below demand and above price for the units consumed. When lessons use linear demand shortcuts, state the assumption: "linear between two observed tariff points."

Spreadsheet grain matters. Utility models often run hourly for dispatch, monthly for billing, and annual for regulatory revenue requirements. Supply and Producer Costs fails silently when rows mix grains. Elena requires a grain column in every workbook: hour, month, customer-month, or plant-year.

Common executive questions (and disciplined answers)

Executives ask short questions that need long disciplined answers. "Can we pass fuel costs through?" maps to allowed riders, elasticity, and affordability indices, not anger on social media. "Will solar kill the utility?" maps to cross-price elasticity with distributed energy and fixed cost recovery. "Why not cut rates to grow?" maps to marginal revenue sign when |elasticity| < 1. "What is fair return?" maps to allowed revenue requirement and cost of capital, not last year's earnings plus 10%.

ClearPeak's credible answer format for supply and producer costs is three bullets: recommendation, key elasticities or marginal costs behind it, and what evidence would reverse the view within two quarters. A fourth bullet names deadweight loss or equity tradeoffs when policy moves price away from marginal cost.

Practice the translation loop until habit: business question → curves and elasticities → quantity and revenue arithmetic → stakeholder table → filing language. Broken loops produce pretty charts that fail cross-examination.

Practice extension: graph and arithmetic self-check

Before re-reading solutions, sketch four items on paper. Item one: draw (in words) demand and supply for ClearPeak summer peak hours with labels. Item two: write one shift that increases price and one that decreases quantity without a price change. Item three: compute percent ΔQ and percent ΔP for a scenario in the lesson and verify elasticity sign. Item four: state who gains and who loses in surplus terms.

Compare your sketch to the worked example. Gaps tell you what to re-read. If you work outside utilities, substitute your product but keep the same structure: define market, state margins, show equilibrium, stress-test with elasticity.

Connection to ACC 101, MKT 202, and capstone design

ACC 101 taught you to reconcile statements; ECO 101 teaches you to reconcile marginal stories with average costs regulators allow. MKT 202 taught evidence ladders; here the ladder is descriptive load research → elasticity estimation → pricing experiment or pilot tariff → regulatory approval. Unit six capstone on designing incentives expects you to combine supply, demand, equilibrium, and market adjustments with game theory and externality tools from earlier units.

Integrated narrative example: ClearPeak proposes a peak-pricing pilot (MKT-style segmentation), estimates elasticity −0.35 (ECO 101 Unit 2), models revenue with marginal cost dispatch (Unit 3), and defends fairness to the PUC (Unit 6). Courses compound when vocabulary and numbers stay consistent.

Deep dive: ClearPeak data definitions reused every month

Residential bundled rate includes energy, distribution, and mandated riders; pilots may unbundle for time-of-use. Peak demand is the highest hourly load in a month; coincident peak may determine transmission charges. Marginal cost of service for pricing studies uses forward-looking dispatch, not historical average embedded cost. Lost revenue from energy efficiency or solar is offset by decoupling mechanisms in some filings. Elasticity estimates separate weather, price, income, and appliance stock effects.

Definition drift fakes wins. If operations reports peak MW using one weather adjustment and finance uses another, supply and producer costs recommendations flip. Elena publishes a one-page data dictionary before each major filing.

Monthly reconciliation: billed energy ≈ generation net losses ± inventory; revenue ≈ Σ quantity × tariff by class; marginal cost tables sum to dispatch cost within rounding. Elasticity replays on holdout months. When reconciliations fail, fix data before arguing policy.

Managerial judgment prompts for Supply and Producer Costs

  1. If elasticity is inelastic short run but elastic long run, how should ClearPeak sequence a multi-year rate path?
  2. If marginal solar cost is below coal but fixed grid costs rise, is average cost or marginal cost the right public narrative?
  3. Which stakeholder loses most if ClearPeak underestimates cross-price elasticity with rooftop solar?
  4. What observable would convince you the demand curve shifted versus movement along the curve?
  5. When does surplus language help regulators and when does it sound like economist jargon?

Write ninety-word memo answers using ClearPeak numbers. This converts lesson prose into testimony reflexes.

Additional study path: compare this lesson's practice problem to the worked example. Identify one assumption that changed elasticity or marginal cost and explain how the decision flips. Capstone integration is intentional; reuse ClearPeak names and units across units.

Lesson exercise

32 min

Peak dispatch marginal cost table

1. Complete Practice Problem (6% driver) without peeking. 2. Build supply table: coal $0.042/kWh, gas $0.055/kWh, solar $0.031/kWh, peaker $0.067/kWh with 8,500 MW check line. 3. Identify marginal unit on a 700 MW peaker hour. 4. Compare average embedded coal cost versus peaker marginal cost for peak pricing testimony. 5. Add balance check row on spreadsheet tab.

Deliverable

Dispatch cost table with capacity check in workbook.

Rubric

  • Marginal unit identified correctly
  • Capacity sums to 8,500 MW
  • Average vs marginal distinction clear
  • Balance check row present