Areas of Activities within IUE Energy system analysis Renewable energies Anaerob systems Ökotoxicology Metall recycling Environmental technology
Development of a Bioenergy Strategy for Mexico Biomass Residues Agricultural Forestry / Wood Industry Livestock Municipal Energy Crops Oil, sugar and starch crops Short rotation coppice Energy Grasses
Biorefinery Activities Processes for the conversion of biomass to SNG, methanol, mixed alcohols and FT-liquids are developed and analyzed by flowsheet simulations. Biomasse ca. 9 t/h (55% TS) 30 MW RME 0,7 MW Gasreinigung Rohgaskühler Kompressor Strom- Eigenbedarf 1 MW Trockner Systemgrenze Vergasung Dampf Luft FICFB-Vergaser Filter Öl-Wäscher Sauergas- Wäscher ZnO-Filter Methanisierung Wasserstoff Kompressor Methanisierung Gasaufbereitung H2-Membran CO2-Wäscher Glykol- Trocknung SNG ca. 19,5 MW Wärme ca. 2,5 MW Mass and energy balances are calculated to estimate efficiencies. Heat integration is applied by pinch analysis. The economic viability is analyzed e.g. investment, production costs, sensitivity analysis Sonstiges 26% Commissioning 2% Engineering 9% Gasaufbereitung 10% Methanisierung 9% Biomassevorbehandlung 7% Vergasung 18% Gasreinigung 19% BioSNG Gestehungskosten in ct/kwh SNG 16 14 12 10 8 Sensitivität BioSNG Altholz 30 MW 6-60% -40% -20% 0% 20% 40% 60% 80% Parametervariation Investionsvolumen (57 Mio. ) Kalkulationszinsfuß (8 %) Biomassekosten (0 /t) Jahresbetriebsstunden (7500 h/a) Strompreis (10 ct/kwh) Nutzungsdauer (20 a) Wärmeverkaufspreis (3 ct/kwh)
GHG emissions in kg CO2-eq/GJ Biokerosene Biokerosine System boundary Jatropha Cultivation Transport 1: Seeds Oil-Production Transport 2: Jatropha-Oil Conversion 90 80 70 60 50 40 30 20 10 Transport 3: Bio-Kerosene 0 Hydrogen from Hydrogen from Steam Reforming Steam Reforming with Biogas Hydrogen from Electrolysis (conv.) Hydrogen from Electrolysis (Wind) Hydrogen from Residues Fossile Kerosine Use of Bio-Kerosene Jatropha Cultivation Transport 1 Oil Extraction Transport 2 Conversion Transport 3 Summarized Emissions RED
Biomethane within the Energy System Biomethane production Biogas substrates (e.g.energy crops, residues) Bio-chemical anaerobic digestion (e.g. wet fermentation) Solid biofuels (e.g. woody, herbaceous) Thermo-chemical gasification (e.g. fluidised bed, pyrolysis/ torrefaction + entrained flow) Gas clean-/conditioning (e.g. oil / alkaline wash, activated coal, ZnO) CHP (heat / electricity) Synthesis: Methanation (e.g. fluidised, fixed bed) Raw biogas Biogas upgrading (e.g. PSA, water wash, amine) Biomethane Raw Bio-SNG Bio-SNG upgrading (e.g. acid / MEA wash, TEG drying, H 2 membrane) Biomethane Biomethane feed in and distribution Feed in Transfer G260 /G262 / Distribution G685 station Fuel station DIN 51624 Biofuel use Combustion engine Hybrid technologies DBFZ, 2009 Pictures: DBFZ, Repotec, Google
Hydrogen Analysis of different supply chains of hydrogen LCA of Hydrogen production and usage
GHG-Emissions in g CO 2 -eq. / km GHG Emissions of Transportation Options 350 300 250 200 150 100 50 Overall Emissions Vehicle decomposition Fuel use Fuel delivery Fuel production Vehicle construction Credits Vehicle recycling 0-50 -100 EV: Electric vehicle FCV: Fuel Cell Vehicle
Maintenance of Offshore-Windfarms OWP Specific Characteristics: - Nb. of WTGs - Type of WTGs - Shore Distance Wind and Wave Data Failure Rates Cost Factors Logistics Spare Parts Personnel O&M Strategy Modelling based on Markov Processes Maintenance Strategies Preventive Corrective Proactive Logistics Spare Parts Personnel Availability of Windfarm Downtime Costs of the Operation Phase Operation Costs Revenue Losses /kwh (costs) KPIs Comparability between maintenance strategies and logistic concepts for individual windfarms over the whole life-cycle.
Stromgestehungskosten in /kwh Geothermal Heat Provision Identification of heat sinks Economic assessment 0,19 0,18 0,17 0,16 0,15 0,14 0,13 0,12 0,11 0,10 Investition Bohrung 11,9 Mio. = 100 % Klärschlammvergütung 35 /t = 100 % 0,09 70 80 90 100 110 120 130 Variation der Parameter in % Investition Klärschlamm 7,1 Mio. = 100 % Volllaststunden 7 500 h = 100 % Options to use waste heat close to the plant
Temperatur in C Temperatur in C Monitoring and Optimization of Geothermal Power Plants 180 G Turbine/ Generator 160 140 Verdampfer Rekuperator 120 100 Vorwärmer Kondensator 80 60 40 20 Förderbohrung Filter Filter Reinjektionsbohrung Speisepumpe Thermalwasser ORC-Arbeitsmittel Kühlmedium Identify barriers to technological progress and potential for optimization Create a research and development strategy 0 0,0 0,5 1,0 1,5 2,0 Entropie in kj/kgk 180 160 140 120 100 80 60 40 20 0 0,0 0,5 1,0 1,5 2,0 2,5 Entropie in kj/kgk
Heating demand in kwh/a Building energy optimization Building energy optimization Factory Buildings Hospitals Simulation in TRNSYS 17 Economical & ecological assesment
Thank you very much! Technische Universität Hamburg-Harburg Institut für Umwelttechnik und Energiewirtschaft (IUE) Eissendorfer Str. 40; D-21073 Hamburg Tel. / Fax: ++49 40 42878 3008 / 2315