ifak activities related to water- waste water- energyifak activities related to water- waste water-...
TRANSCRIPT
ifak activities related to
water- waste water- energy
1
ifak activities related to
water- waste water- energy
Introduction ifak e.V. Magdeburg
Presentation of department Water & Energy
Simulation of Waste Water Treatment plants
Design and optimisation of operation
Short demonstration
Example project: NoNitriNox
Holistic approach to minimise emissions into receiving water
real time control of sewer systems
Short demonstartion
Example project: SaMuWa
immission based planing tool for combined sewer systems
2
ifak activities related to
water- waste water- energy
Holistic evaluation of water and waste water and sanitation
systems
Project Liwa
NewSan Simulator
Energy
Biological processes for biogas production
Waste water and Energy: Project Smart-Net
Energy management, Power input into low-voltage networks
3
Department Water and Energy
Waste water treatment plants
Simulation software
SIMBA since 1994
SIMBA#, SIMBA classroom since 2013
Simulation studies
Plant optimisation: Effluent, Cost, Energy
Effective methods (HSG)
4
Dr. Jens Alex
ifak activities related to
water- waste water- energy
Simulation of waste water treatment plants
Short demonstration
Example project: NoNitriNox
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6
Storage
XSTO
SO
End. Resp.
XI
XS Hydrolysis
SNH
Growth End. Resp. XA
SNO
Growth
Storage Growth End. Resp.
P2
SI
fSI
1-YSTO,ae
1-fSI
YSTO,ae
YSTO,an
14/40(1-YSTO,an)
XH
P3
P1
XMI
P4
1-1/YH,ae
SALK
1/YH,ae
1/YH,an
P5
14/40(1-1/YH,an)
P6
14/40(1-fXI)
1-fXI
fXI
P7
fXI
End. Resp. P8
End. Resp. 1/40
P10
1- 1/YA 64/14
1/YA
1/YA
SS
P11
1-fXI
fXI
End. Resp.
P12
fXI
14/40(1-fXI)
Anoxisch
Aerob
Jedes Milieu
NH4-N
CSB
O2 NO3-N
Basis of WWTP simulation
activated sludge model
see separate presentation ...
NoNitriNox
Department Water and Energy
Sewer systems
Control of sewer systems (RTC)
Generalised controller for combines sewer
systems
Greywater re-use
Joint project with Technion/Israel
Impacts of greywater reuse on sewer and WWTP
Adaptation of sewer systems to the future
Joint projects KURAS and SaMuWa
Comittees
DWA Working Group „Real time control“
IWA Working Group „Real time control“
Joint Committee on Urban Drainage
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Wastewater pumping
station
Dr. Manfred Schütze
Holistic consideration of discharges from sewer and WWTP
Real time control of drainage systems to reduce emissions
Water-quality based simulator for planning of urban wastewater
systems
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Department Water and Energy
Sewer systems
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Department Water and Energy Sewer systems
Objectives of sewer systems
Fast discharge of wastewater from residential areas (health
protection)
Avoiding of flooding (infrastructure protection)
Minimisation of avoidable wastewater and pollution discharges
(environment protection)
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Systematic setup of real time control
Real time control of sewer systems beneficial for many
systems:
Reducdtion of discharges whilst using existing infrastructure
Cost reduction: Avoiding construction of expensive storage tanks
Flexibility: control allows better utilisation of existing infrastructure
Better utilisation of WWTP by dynamical influent variation
T6
T4
T1
T3
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What is real time control of urban drainage
systems?
?
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Urban
Drainage
System
Sensors
Regulating
devices
Control
system
RTC strategy
RTC objectives
RTC procedures
e.g. gates,
pumps
e.g.
Water levels, flows, rain,
(water quality)
e.g. reduction of
discharges of
(untreated)
wastewater
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Challenges of RTC
Challenges
Highly stochastic input (rainfall), short control time step
Measurements difficult (raw wastewater!)
Each case study different
non-linear system, backwater effects
Concrete (infrastructure and thinking)
Impediments
Hard to illustrate economic benefit for existing systems
Planning and design of RTC is a complex task when using
traditional appraoches
Safe operation of system needs to be ensured
A modular approach to RTC
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(1) uniform utilisation of storage volume virtual central tank
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A modular approach to RTC
(2) Uniform utilisation of parallel branches
Coordinating controller manages all available capacites (upstream
and locally available)
Distribution of free capacites according to „demands“
Result: Optimum operation of drainage system w.r.t. minimsation of
overflow volume
.
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Hildesheim catchment
112000 inhabitants
53000 PE combined system,
68000 PE separate system
10 Subcatchment with 9 storage tanks
(150 – 3.800 m³) and one simple
overflow
Trunk sewer
Receiving water: Innerste (Qmean = 8.15
m³/s)
Source: Pabst (2009)
Implementation in the city of Hildesheim
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Qin1
T1
B1Mastbergstr.
Schützenallee
T0
B0Regenklärbecken KA (FB NS)
Qin2
T2
B2
Qin3
T3
B3
Qin4T4
B4
Qin5T5
B5
Qin6
T6
B6
Cheruskerring
Speicherstr.
Alter Markt
Treibestr.
Qin7T7
Qin8T8
B8
Qin9
T9
B9
RÜ Gr. Venedig
Hohnsen
Lönsbruch
Trennentw. Gebiete
Trennentw. Gebiete
B10
Bergmühlenstr.
KA Hildesheim
QinTS
Q in10
QinTSQinTS
T10
Qin1Qin1
T1T1
B1B1Mastbergstr.
Schützenallee
T0T0
B0B0Regenklärbecken KA (FB NS)
Qin2
T2
B2
Qin2Qin2
T2T2
B2B2
Qin3
T3
B3
Qin3Qin3
T3T3
B3B3
Qin4T4
B4
Qin4Qin4T4T4
B4B4
Qin5T5
B5
Qin5Qin5T5T5
B5B5
Qin6
T6
B6
Qin6Qin6
T6T6
B6B6
Cheruskerring
Speicherstr.
Alter Markt
Treibestr.
Qin7Qin7T7T7
Qin8T8
B8
Qin8Qin8T8T8
B8B8
Qin9
T9
B9
Qin9Qin9
T9T9
B9B9
RÜ Gr. Venedig
Hohnsen
Lönsbruch
Trennentw. Gebiete
Trennentw. Gebiete
B10
Bergmühlenstr.
KA Hildesheim
QinTS
Q in10
QinTSQinTSQinTSQinTS
T10
Source: Pabst et al. (2010)
Implementation in the city of Hildesheim
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Implementation in the city of Hildesheim
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Ein modularer Ansatz zur Verbundsteuerung
von Kanalnetzen
Demonstrator
Immission-based planning of wastewater
discharges
Needed for practical application
Consideration of relevant processes and all WQ objective
e.g. Dissolved Oxygen, NH3-N/NH4-N,
Different nature of sewer and treatment plant discharges
Rapidly and slowly biodegrading organic matter
Limited data requirements
Easy-to-use, also by non-experts
Additional requirements
Several sewer systems and WWTPs discharging
Temporal dynamics of discharges
Degradation processes
Link to various sewer and WWTP models
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Contributions of ifak
Simulation of receiving waters (simple water quality model)
Transport model of pollutants in the river
Linking with sewer system models (incl.pollutants)
Immission-based planning of wastewater
discharges
Immission-based planning of wastewater
discharges
Checking for standards
hN [mm / 5min]
czul,1
c [mg / l]
Immission-based planning of wastewater
discharges
Checking for standards
hN [mm / 5min] c [mg / l]
Department Water and Energy
Integrated Planning tools
Integrated Planning Tools
LiWa – Lima Water
Application of simulator in „Round Table“ discussions
Action Plan „Lima 2040“
NewSan: Prototype simulator für new sanitation
systems
New project: NIDA200 in Cooperation with company
LimnoTec: Alternative sanitation concept for 200 PE
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Dr. Manfred Schütze
A city with water challenges: Lima/Peru
Some characteristics of Lima
Second-driest city of the world (Rainfall: 9 mm p.a.)
Rivers with trans-Andean tunnels, groundwater
Some wastewater reuse (parks, agriculture) – untreated wastewaters
Water production: approx. 20 m3/s
Main worry of population: Access to water
Challenges in administrative framework
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How to prepare Lima for the future?
The LiWa (“Lima Water”) project
Main lines of action within the LiWa project (www.lima-water.de)
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Adapted from: Tilley et al. (2008)
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Scenarios
Macro modelling (all of Lima)
Input data
A B C
Output results
A B C D
Diskussionen und Empfehlungen
Particiipation
Evaluation and discussion
of scenarios and action options by modelling
by simulation modelling
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Scenario Zero: Not doing anything in the
future
Scenario evaluation
How to prepare Lima for the future?
Modelling all of Lima
1ra Mesa Redonda „Agua y Cambio
Climático en Lima y Callao“, 06.10.2011
2da Mesa Redonda
„Escenarios de Agua y Cambio Climático
para Lima y Callao“, 15.03.2012
3ra Mesa Redonda
„Tarifas y alternativas de gestión del agua
potable“, 17.10.2012
4ta Mesa Redonda „Evaluación de medidas para la
gestión sostenible del agua“, 22.11.2012
Round Table events in Lima
with a variety of stakeholders
Signing the „Action Plan for Water in Lima and Callao“
Modelling of new and alternative sanitation
systems
NewSan project – simplified modelling of sanitation systems
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Department Water and Energy
Biogas
Modelling and simulation of biogas plants and
anaerobic digestion at wastewater treatment plants
Description of
Biogas production and substrate utilisation
Process failures and
Control
Simulator SIMBA# Biogas
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Michael Ogurek
Biogas: Motivation
Biogasproduction by anorganic digestion of organic matter
Feature: Mixed substrates with changing quality
Problem: slowly growing and sensitive micro organisms
Result: Utilisation rate of many plants on a enonomical non
sustainable level
Aim: Operate plants at maximum capacity level and stable operation
Methods: Modelling and Simulation
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Waste Biogas Plants Agricultural Biogas Plants
Natural fertiliser (manure, dung, …)
Energy plants (corn silage, grain, etc.…)
Organic waste
Maximum biogas production Maximum stabilisation of sludge
Biogas: Key numbers
about 7900 plants in Germany
3.750 MW el. power (installed)
Gas capacity 146175 Nm³/h
Supply for 7.5 Mio households
4.42% of electrical power consumption
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(Fachverband Biogas e.V.) (Fachverband Biogas e.V.)
Biogas: Modelling and Simulation
Development of feeding startegies (mixed substrates)
Development of operational strategies (flexible energy production)
Development of control concepts
development of mathematical models (Sulfur, Phosphorus, Micro-
Nutrients, …)
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Department Water and Energy
Smart Grid
Management and distribution of energy get increased
attention because of the strong trend to decentralised
production of energy.
Integration of decentralised energy production (Solar energy,
CHPs, wind energy) in power networks
Modelling and simulation of power distribution networks with
decentralised sources
Active control of distributed components in power
distribution networks by decentralised
automation units
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Christian Hübner