For my thesis, I applied Genetic Evolutionary Algorithm for searching for feasible methods to treat and dispose of wastewater biosolids.

1. Genetic Algorithm Applied to a Multi-Stage Treatment of Biosolids Joshua Y Stramer Supervisors: Prof. Gideon Oron, Prof. Asher Brenner בס '' ד אוניברסיטת בן - גוריון בנגב הפקולטה למדעי הנדסה הנדסה סביבתית 23/11/08 חשון כה , תשס '' ח

7. Model Architecture

8. Objective Function Minimize Total Cost per tonne dry solids (1) (2) [$/tonne] Annual Cost per dry solids for entire treatment train TotalCost [$/tonne] Annual Cost per ton dry solids for process i,j COSTTS ij [$/yr] Annual Amortized Capital Costs ACC ij [$/yr] Annual Operation and Maintenance Costs COSTOM ij [tonne/day] Ton dry solids handled TS i-1,j

9. Example Conventional Activated Sludge Wastewater Treatment Plant Population 70,000 [Inhabitants] Average Influent Flow - Q 14,000 [m^3/day] Influent TSS load – X 00 400 [mg/l] Influent BOD – S 00 350 [mg/l]

10. Validation

11. Results 30 Model Runs 15 treatment scenarios Raw Primary Sludge Minimum Cost Treatment Result: 254 $/t Average 350 [$/ t] Stnd. Dev 63 [$/ t] Minimum 254 [$/ t] Thickening Combined Sludge Stabilization Dewatering Transport Disposal/ Reuse

13. Total Cost: 58.6 % Capital Costs 41.4 % Operation and Maintenance Costs Cost Breakdown Total Treatment Cost 254 $/t

14. Other Feasible Options Run Total Treatment Cost [$/t] Treatment Scenario 22 281 18 317 14 38 3 24 386

15. Significance of O&M Parameters Student T-Test α -0.05 n – 29 degrees of freedom Fuel Lime Labor Electricity 1 $ / liter 4 $ / liter Mean [$/t] 349 415 Variance 3864 6252 Observations 30 30 P-Value 3.32 x 10 -4 0.10 $ / kg 0.90 $ / kg Mean [$/t] 369 349 Variance 5405 3864 Observations 30 30 P-Value 0.147 15 $ / hr 22 $ / hr Mean [$/t] 349 402 Variance 3864 12060 Observations 30 30 P-Value 0.02 0.05 $ / kwh 0.14 $ / kwh Mean [$/t] 349 412 Variance 3864 9386 Observations 30 30 P-Value 1.27 x 10 -3

16. Process Selection Electricity Costs $0.05/kwh $0.10/kwh $0.12/kwh $0.14/kwh $0.08/kwh

17. Supernatant

20. Sensitivity Analysis Stabilization Before Reuse