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Comparative assessment of different manure valorisation technologies - - PowerPoint PPT Presentation

Comparative assessment of different manure valorisation technologies from an environmental perspective I. Noya, S. Feijoo, L. Lij, S. Gonzlez Garca, G. Feijoo and M.T. Moreira Department of Chemical Engineering, Institute of Technology,


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Comparative assessment of different manure valorisation technologies from an environmental perspective

  • I. Noya, S. Feijoo, L. Lijó, S. González‐García, G.

Feijoo and M.T. Moreira

Department of Chemical Engineering, Institute of Technology, University of Santiago de Compostela SPAIN

This study was carried out within the framework of the European project ManureEcoMine (Project number: 603744)

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Group of Environmental Engineering and Bioprocesses (Biogroup)

University of Santiago de Compostela (USC)  Nutrient removal using conventional and advanced biological processes  Biological systems for wastewater treatment based on granules and biofilms  Advanced monitoring and control of wastewater anaerobic treatment  Enzymatic degradation of recalcitrant compounds  Life Cycle Assessment (LCA)  Environmental Risk Analysis

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Figure 1. Life Cycle Assessment perspective.

  • ISO 14040 (2006): Life Cycle Assessment – Principles and Framework
  • ISO 14044 (2006): Life Cycle Assessment – Requirements and Guidelines
  • LCA

method has been standardized by means of the following standards:

  • LCA

 comprehensive evaluation of the environmental consequences that a product or service have on the environment throughout its life cycle.

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SLIDE 4

Inputs from Technosphere

Electricity 1000 kWh

Outputs to Environment

CH4 60 kg N2O 0.1 kg

Environmental results

Impact categories A B C Climate change 10 60 ‐1 Acidification 5 15 ‐5 Eutrophication 0.8 1

Goal and scope definition Inventory data collection Impact assessment

  • Conclusions
  • Recommendations
  • Improvement options

Interpretation

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SLIDE 5

Production Land application Transport Storage

CH4 NH3 N2O NO3

  • PO4
  • 3

CO2 N2O NH3

Sources of pollution:

  • Manure storage
  • Transport
  • Manure application to land

Nitrates Directive (91/676/CEE)

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SLIDE 6

AD

Production Transport Bioenergy production Land application Storage Electricity

Biogas production from manure:

  • Renewable energy production
  • Lower greenhouse gas emissions
  • Fertilisation value (avoiding mineral fertilisers)
  • Less nuisance from odours and flies
  • Economical advantages for the farmers

CH4 NH3 N2O CO2 NO3

  • PO4
  • 3

N2O NH3

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FOOD WASTE COW MANURE AND PIG SLURRY ORGANIC MIXTURE MANAGEMENT ALTERNATIVES CONVENTIONAL ALTERNATIVE WIDE SCOPE ALTERNATIVE

  • Comparative environmental assessment of the impacts associated with different alternative

scenarios focused on livestock manure management for energy production and nutrients valorization SCOPE

  • Gate-to-grave perspective
  • Functional unit (FU): 1 ton of manure treated

GOAL

CURRENT ALTERNATIVE DIRECT APPLICATION ANAEROBIC CO‐DIGESTION ANAEROBIC CO‐DIGESTION + NUTRIENTS RECOVERY

A B C

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SLIDE 8

ANIMAL WASTE STORAGE ANIMAL WASTE FIELD APPLICATION SYSTEM BOUNDARIES

AVOIDED MINERAL FERTILIZATION Energy production Field application

Figure 3. Flowchart of the processes involved in Scenario A. Figure 4. Flowchart of the processes involved in Scenario B. SEGREGATES (Food Waste) STORAGE FEEDING MIXTURE ANAEROBIC CO‐DIGESTION BIOGAS CHP UNIT ENERGY FIELD APPLICATION DIGESTATE AVOIDED ENERGY PRODUCTION AVOIDED MINERAL FERTILIZATION SYSTEM BOUNDARIES ANIMAL WASTE

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Figure 5. Flowchart of the processes involved in Scenario C.

Energy production Nutrients recovery Field application

CHP UNIT ENERGY AVOIDED ENERGY PRODUCTION FEEDING MIXTURE COW MANURE & ORGANIC WASTE STORAGE ANAEROBIC CO‐DIGESTION SOLID/LIQUID SEPARATION STRUVITE PRECIPITATION BIOLOGICAL N REMOVAL SYSTEM BOUNDARIES AVOIDED WATER PRODUCTION IRRIGATION WATER BIOGAS SEGREGATES (Food Waste) FIELD APPLICATION DIGESTATE NUTRIENTS AVOIDED MINERAL FERTILIZATION ANIMAL WASTE

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Table 1. Impact categories selected for evaluation.

METHODOLOGY SOFTWARE IMPACT CATEGORY ACRONYM UNIT CLIMATE CHANGE CC kg CO2 eq TERRESTRIAL ACIDIFICATION TA kg SO2 eq FRESHWATER EUTROPHICATION FE kg P eq MARINE EUTROPHICATION ME kg N eq HUMAN TOXICITY HT kg 1,4‐DB eq FOSSIL DEPLETION FD kg oil eq RECIPE MIDPOINT (H) 1.12 SIMAPRO 8.0.5.13

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Figure 6. Comparative environmental results of the different scenarios assessed (FU = 1 ton organic mixture). ‐100 ‐50 50 100 Scenario A Scenario B Scenario C Comparative results

CLIMATE CHANGE

‐25 25 50 75 100

Scenario A Scenario B Scenario C

Comparative results

FRESHWATER EUTROPHICATION

25 50 75 100

Scenario A Scenario B Scenario C

Comparative results

MARINE EUTROPHICATION

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Figure 6 (cont.). Comparative environmental results of the different scenarios assessed (FU = 1 ton organic mixture). ‐100 ‐50 50 100 Scenario A Scenario B Scenario C Comparative results

HUMAN TOXICITY

‐100 ‐80 ‐60 ‐40 ‐20

Scenario A Scenario B Scenario C

Comparative results

FOSSIL DEPLETION

25 50 75 100

Scenario A Scenario B Scenario C

Comparative results

TERRESTRIAL ACIDIFICATION

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SLIDE 13
  • These favorable results for Scenario C are due to the environmental credits

related to the energy production as well as lower emissions derived from the recovered nutrients, and avoided mineral fertilization which partially offset related environmental impacts.

  • According to the comparative assessment, Scenario C would

show the best environmental profile in the selected impact categories, with lower environmental burdens compared with Scenario A and Scenario B.

  • However, Scenario C requires higher energy consumption due to additional stages
  • f S/L separation and nutrients recovery (struvite precipitation and nitrogen

removal), partially offsetting the environmental credits of Scenario C.

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SLIDE 14

Comparative assessment of different manure valorisation technologies from an environmental perspective

  • I. Noya, S. Feijoo, L. Lijó, S. González‐García, G.

Feijoo and M.T. Moreira

Department of Chemical Engineering, Institute of Technology, University of Santiago de Compostela SPAIN

This study was carried out within the framework of the European project ManureEcoMine (Project number: 603744)