Economic Optimization of Integrated Nutrient and Energy Recovery - - PowerPoint PPT Presentation

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Economic Optimization of Integrated Nutrient and Energy Recovery - - PowerPoint PPT Presentation

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Economic Optimization of Integrated Nutrient and Energy Recovery Treatment Trains Using a New Model Library Cline Vaneeckhaute, Universit Laval Evangelina Belia, Primodal Inc. 7 th International Conference on Sustainable Solid Waste

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Economic Optimization of Integrated Nutrient and Energy Recovery Treatment Trains Using a New Model Library

Céline Vaneeckhaute, Université Laval Evangelina Belia, Primodal Inc.

7th International Conference on Sustainable Solid Waste Management, Heraklion, Greece, June 26-29, 2019

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Outline of the presentation Introduction Nutrient recovery model (NRM) library T reatment train optimization T ake-home message 2

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INTRODUCTION

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The nutrient paradox

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Nutrient excesses  Environment Increasing demand for chemical fertilizers

Environmental pollution

Nutrient depletion (P, K)

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How to produce more food and energy with less pollution?

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Nutrient recovery from (digested) waste: A potential sustainable and cost-efgective solution

  • Precipitation → struvite, calcium phosphates
  • Ammonia stripping → NH3
  • Acidic air scrubbing → ammonium sulphates
  • Membrane fjltration → H2O, N-K concentrates
  • Biomass production and harvest → biomass
  • …

⇒ Mainly physicochemical unit processes ! ⇒ Mainly physicochemical unit processes !

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Potential fmow diagram of a biorefjnery for nutrient and energy recovery

Problem: Optimal combination difgerent for each waste stream Problem: Optimal combination difgerent for each waste stream

Approach = Mathematical models Approach = Mathematical models

Research question: What is the optimal combination of unit processes and what are the optimal operating conditions?

  • Given: Particular waste stream
  • Optimal:
  • Maximal resource recovery (nutrients, energy)
  • Minimal energy and chemical requirements

Research question: What is the optimal combination of unit processes and what are the optimal operating conditions?

  • Given: Particular waste stream
  • Optimal:
  • Maximal resource recovery (nutrients, energy)
  • Minimal energy and chemical requirements
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Nutrient recovery model (NRM) library

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Generic nutrient recovery model (NRM) library

NRM-AD NRM-Prec NRM-Strip NRM-Scrub NRM = Nutrient Recovery Model

TORNADO/WEST Modelica language

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Reactor model

Chemical speciation model Biochemical model Physico- chemical model Combined three-phase physicochemical-biological models

Slow reactions

Species pH Species pH

Fast reactions

PHREEQC PHREEQC

TORNADO/WEST TORNADO/WEST Interface

Challenge = numerical solution! Challenge = numerical solution!

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TREATMENT TRAIN OPTIMIZATION

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Global sensitivity analysis (GSA)

  • Selection of factors with the highest impact on

model outputs (= objective for further study)

  • Input waste stream characteristics
  • Kinetic model parameters
  • Process operational parameter
  • ….

Acquired understanding Optimal treatment train confjguration Optimal treatment train confjguration

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Treatment train confjguration Target = struvite + ammonium sulfate

Consumables →Costs Recovered products → Revenues Removal of Ca, Fe and Al precipitates Removal of Ca, Fe and Al precipitates Use of Mg(OH)2/MgO Use of Mg(OH)2/MgO Ca-inhibition  Fe/Al impurities  Ca-inhibition  Fe/Al impurities  Chloride inhibition  Phosphate inhibition  Chloride inhibition  Phosphate inhibition  Scaling 

N-recovery P-recovery C-recovery

OPTIMAL OPERATING CONDITIONS? OPTIMAL OPERATING CONDITIONS?

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Treatment train optimization

M I N I M I Z E M A X I M I Z E

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Variable costs & revenues Variable costs & revenues

  • Heat requirements  worst & best case
  • Chemicals
  • Electricity
  • Maintenance, material & labor costs
  • Biogas production  electricity and heat
  • Fertilizer marketing  worst and best case
  • CO2 emission reduction credits: 15 $ ton-1

Capital costs Capital costs

  • T

echnology providers

  • CAPDET software

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Treatment train optimization: Economic analysis

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Treatment train optimization: Economic analysis Optimized Biorefinery ~ variable costs: 5 $ m-3 manure y-1 90 $ ton-1 solids y-1 ~ variable + capital costs: 2 $ m-3 manure y-1 40 $ ton-1 solids y-1 ZeroCost-Biorefinery (pay-back time: 7 years)

Financial benefits:

Subsidies Heat balances

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Take-home message

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Main conclusions

  • Generic nutrient recovery model (NRM) library created and validated
  • Global sensitivity analysis

 Identifjcation of interaction between processes  Optimal treatment train confjguration

  • Model-based treatment train optimization

 Valuable tool for evaluation of project feasibility  Key factors for design of nutrient and energy recovery facilities:

  • subsidies
  • fertilizer marketing potential
  • heat balances

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Perspectives: Development of a decision-support tool for

  • ptimization of holistic organic waste valorization chains

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Research Government Industry/ Consultants

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Further reading

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Questions ?

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celine.vaneeckhaute@gch.ulaval.ca https://bioengineblog.wordpress.com/ « Nothing is lost, Nothing is created, Everything is transformed » Modelling is a must for optimizing the value chain!

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