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BIOSYNTH: A software for the automatic generation of superstructures for biorefineries National Technical University of Athens 1 RENESENG MTR meeting

BIOSYNTH: A software for the automatic generation of superstructures for biorefineries National Technical University of Athens 1 RENESENG MTR meeting

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BIOSYNTH: A software for the automatic generation of superstructures for biorefineriesNational TechnicalUniversity of Athens1

RENESENG MTR meeting

1Biomass

14/10/2015RENESENG MTR meeting2Biomass is abundant

Chemistries converting biomass to useful products are abundant

Which paths suit the biomass of interest?

Which are the most economic, sustainable and technically-reliable paths?

Industrial Process Systems Engineering UnitWanting to valorise biomass but

14/10/2015RENESENG MTR meeting3No knowledge of technologies and chemistries-various possible products: chemicals, fuels, energy, value-added chemicals, building block chemicals etc. -various technologies (chemical, biological, thermal)

No knowledge of data -cost of equipment, installation -prices of products, intermediates and raw materials -CO2 emissions from a particular process -Supply and distribution dataIndustrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting4Value chain trees given feedstock/ product

Evaluation & selection of optimal path

Scope to integrate paths

Models with mass/energy balance

Cost modelsSystems Engineering can offer

Synthesis ModelBio-feedstockAuxiliary materialsEnergy & UtilitiesProductsWaste/ by-productsIndustrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting5How to bring systems engineering models closer to the non-expert?

Industrial Process Systems Engineering UnitBIOSYNTH platform overview14/10/2015RENESENG MTR meeting6Knowledge LayerSynthesis Model

ChemistriesTechnology modelsBiomass PricesProduct Prices

Technology Ontology

Techno-economic simulating modelIndustrial Process Systems Engineering UnitHow it works14/10/2015RENESENG MTR meeting7Possible products & paths are reviewedValue chains are translated to synthesis modelsOptimisation is applied to select pathSuitable technologies are chosen for the selected feedstockValue chains are automatically developedResults are shared with the non-expertNon-expert selects feedstockIndustrial Process Systems Engineering UnitSynthesis Approach14/10/2015RENESENG MTR meeting8Industrial Process Systems Engineering UnitSynthesis components14/10/2015RENESENG MTR meeting9Intermediate Chemicals Syngas Methanol Biogas Pyrolysis OilProducts EthyleneRaw Materials Wood Residues Plant Oil Animal FatsProcess Pyrolysis Refirming MTO SynthesisIndirect GasificationDirect Gasification Cracking Anaerobic DigestionIndustrial Process Systems Engineering UnitConnecting Process Concept Blocks14/10/2015RENESENG MTR meeting10a) A process connectsRaw MaterialsIntermediate Chemicalsb) A process connectsProductsIntermediate Chemicals ExampleWood ChipsIndirect GasificationsyngasHydrogenolysisPropylene GlycolpropyleneIndustrial Process Systems Engineering UnitRaw materials to final Products14/10/2015RENESENG MTR meeting11Connecting Process Concept BlocksWood ChipsDirect GasificationsyngasmethanolMethanol SynthesisSyngas produces Methanol via methanol synthesisWoodchips produce Syngas via direct gasificationIndustrial Process Systems Engineering UnitEnable Synthesis usingOntology Engineering14/10/2015RENESENG MTR meeting12Industrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting13Wood ChipsDirect GasificationsyngasmethanolMethanol SynthesisFeedstockTechnologyIntermediateTechnologyProduct

Synthesis to Ontology EngineeringIndustrial Process Systems Engineering UnitRelations connecting classes14/10/2015RENESENG MTR meeting14FeedstockTechnologyIntermediateTechnologyProductis processedwith has outputproduced byprocessed throughis processed withhas outputprocessed throughproducesproducescan lead tohas inputhas inputproduced by

Industrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting15Non-expert user has municipal solid waste (MSW), what is possible to produce?

?An example Step 1: All possible synthesis paths are first identified14/10/2015RENESENG MTR meeting16BiogasSyngasmethanolMTOpropyleneAnaerobic DigestionBiogas ReformingMethanol SynthesisPath 1Anaerobic DigestionBiogasBiogas ReformingSyngas

Syngas ReformingNH3Anaerobic DigestionBiogas ReformingSyngas ReformingPath 2Anaerobic DigestionBiogasBiogas ReformingSyngasAlcohol SynthesisethyleneMixed Alcohols

Anaerobic DigestionBiogas ReformingAlcohol SynthesisPath 3Anaerobic Digestion

ethyleneBiogasBiogas ReformingSyngasSyngas fermentationethanolDehydrationAnaerobic DigestionBiogas ReformingPath 4

MSW

Industrial Process Systems Engineering UnitStep 2: Value Chains are automatically developped14/10/2015RENESENG MTR meeting17

MSWAnaerobic DigestionBiogasBiogas ReformingSyngasMethanol SynthesisSyngas ReformingAlcohol SynthesisSyngas fermentationmethanolMTOpropyleneNH3ethyleneMixed AlcoholsethanolDehydration

Industrial Process Systems Engineering UnitThe non-expert user is informed of:

14/10/2015RENESENG MTR meeting18

propyleneNH3ethylene1) Possible products derived from MSW2) Possible intermediates derived from MSW and can act as productsmethanolBiogasSyngasethanol3) And the full value chain of MSW to possible products

Industrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting19The user can inquire which is the most economically viable path to select.

?

Industrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting20Step 3: Value Chains are translated to synthesis models

propylene

MSWAnaerobic DigestionBiogasBiogas ReformingSyngasMethanol SynthesisSyngas ReformingAlcohol SynthesisSyngas fermentationmethanolMTONH3ethyleneMixed AlcoholsethanolDehydrationTechnologyChemical (feedstock, intermediate, product)A technology synthesis model requires data for:

YieldsEnergy requirementsCO2 emissionsCapital & Operating CostsA chemical synthesis model requires data for:

Chemical pricesCO2 emissions

Data are extracted from linked database

Industrial Process Systems Engineering UnitStep 4: From Synthesis Models to Optimisation14/10/2015RENESENG MTR meeting21

Variables

Equations

Parameters

Optimisation achieves the identification of the most economically viable path.

This is enabled by mathematical programming (MILP)Industrial Process Systems Engineering UnitStep 5: Results shared with the user:

14/10/2015RENESENG MTR meeting22

Most optimum path (selected technologies and chemicals)

Total annual cost/ profit

Optimum biomass flowrate

Optimum product flowrate

Industrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting23

DEMOCase ASelecting only raw materials

Industrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting24Case BSelecting only products

DEMO

Industrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting25Case CSelecting raw materials & products

DEMO

Industrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting26Case DSelecting raw materials, products and intermediates as products

DEMO

Industrial Process Systems Engineering Unit14/10/2015RENESENG MTR meeting27Thank youWe greatly acknowledge the financial support by the Marie-Curie Grant RENESENG (ITN-607415).

National TechnicalUniversity of Athens