Thermal Flywheeling Alex Woolf, PhD - Principal Data Scientist - PowerPoint PPT Presentation

Thermal Flywheeling Alex Woolf, PhD - Principal Data Scientist Lineage Logistics 1

THE NEED FOR COLD 2

THE NEED FOR COLD 3

THE NEED FOR COLD 4

THE NEED FOR COLD 5

LINEAGE INTRO 6

WAREHOUSE 7

LINEAGE INTRO 8

APPROACH QTY POWER LABOR = - - EBITDA PRICE * T HERMAL W ORK E FFICIENCY P RICE / kW kW E $ = kW T P OWER C OST * * kW T kW E 9

•Lineage - Macon, GA 10

ENERGY RATES 11

WAREHOUSE 12

INDUSTRY STANDARD Industry Standard Flywheeling 13

THERMAL MODEL Warehouse C air [J/K] T air [K] Heat Transfer (α) C food [J/K] T food [K] 14

THERMAL GRADIENTS 15

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•Lineage - Mira Loma, CA 19

OPTIMAL SCHEDULING Example Structure Example Demand Charges Flat $18,550 / MW On-Peak $18,920 / MW Mid-Peak $3,630 / MW 20

CONVEX OPTIMIZATION • Karmarkar (1986): algorithm using interior point method faster than simplex for sets with many vertices • Nesterov and Nemirovski (1994): class of linear barriers that guarantee convergence in P 21

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FLYWHEELING SOLUTION Energy Rate Temperature Setpoints Resulting Power Draw 23

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FINANCIAL RESULTS VOLUME FLYWHEEL DOORS RATES* $1.08MM $1.24MM COND. RATES VFDS VALVES 2016 2018 Pro Forma 2018 A $1.94MM $3.18MM $2.10MM 27

FLYWHEELING PATENT 28

THANK YOU 29