Michele Argiolas, Karol Coppola and Alberto Cruccas on "GIS-WEB approach to support spatial monitoring of housing market acquisition risk and urban property market dynamics definition"
The document discusses the geoprospective approach, which aims to anticipate the plausible futures of territories using spatial modeling and simulations. Geoprospective was created by researchers in spatial and environmental modeling. It differs from traditional prospective approaches by more strongly emphasizing the role of space and spatial dynamics in modeling changes. Key methodologies used in geoprospective include spatially explicit modeling, graphic modeling, and participatory modeling to understand actor perceptions and behaviors. The challenges of geoprospective include better integrating the roles of space and actors, accounting for multi-scale factors of land cover evolution, and linking quantitative and qualitative data in spatial models.
The document discusses the Province of Ogliastra's adoption of 3D GIS services and SkylineGlobe technology. It describes a 3-phase process of upgrading planning tools, providing support to municipalities, and recognizing opportunities from new data. A key outcome was developing a 3D terrain model and web GIS platform for spatial analysis and sharing information to support landscape planning and other initiatives. The 3D system allows integrated visualization, analysis and promotion of spatial data and trails.
Michele Argiolas, Karol Coppola and Alberto Cruccas on "GIS-WEB approach to support spatial monitoring of housing market acquisition risk and urban property market dynamics definition"
The document discusses the geoprospective approach, which aims to anticipate the plausible futures of territories using spatial modeling and simulations. Geoprospective was created by researchers in spatial and environmental modeling. It differs from traditional prospective approaches by more strongly emphasizing the role of space and spatial dynamics in modeling changes. Key methodologies used in geoprospective include spatially explicit modeling, graphic modeling, and participatory modeling to understand actor perceptions and behaviors. The challenges of geoprospective include better integrating the roles of space and actors, accounting for multi-scale factors of land cover evolution, and linking quantitative and qualitative data in spatial models.
The document discusses the Province of Ogliastra's adoption of 3D GIS services and SkylineGlobe technology. It describes a 3-phase process of upgrading planning tools, providing support to municipalities, and recognizing opportunities from new data. A key outcome was developing a 3D terrain model and web GIS platform for spatial analysis and sharing information to support landscape planning and other initiatives. The 3D system allows integrated visualization, analysis and promotion of spatial data and trails.
Modeling tools and Web based technologies can support water resources management by:
1) Applying numerical models to study groundwater, surface water, and marine water dynamics through case studies.
2) Addressing challenges in environmental science like complex multi-scale dynamics and data availability.
3) Developing information systems and simulations to analyze pressures, states, and impacts on the environment and identify critical areas.
The team will cover the Current Status of the project (Rembrandt Koppelaar), Water Demands (Xiaonan Wang, Koen H. van Dam), Infrastructure construction (Rembrandt Koppelaar) and Toilet usage (Xiaonan Wang, Koen H. van Dam)
This document outlines several presentations on sustainability projects related to reducing carbon emissions from higher education institutions. It discusses using virtual conferencing to reduce travel, surveys of virtual meeting usage, developing tools to appraise the carbon impacts of different teaching models, and projects involving engaging building users to reduce energy consumption through an ICT interface. It also notes upcoming events like conferences and a briefing on an initiative connecting building energy data to users.
Arturo Sanchez-Azofeifa_Challenges and opportunities in the implementation of...TERN Australia
The document discusses the challenges and opportunities in implementing wireless sensor networks for environmental monitoring. It notes that environmental monitoring science is facing increased data availability that requires new methods for managing, analyzing, and visualizing large datasets. Wireless sensor networks have great potential to support the evolving science through distributed sensing of the environment. However, their development faces challenges like improving remote durability, miniaturization, communication/coverage, sampling capabilities, memory, and data management. Advances could help scientists explore large datasets and detect events in real-time to better understand environmental trends.
SMi's 2nd Annual Smart Water Systems conferenceDale Butler
This document advertises a conference on smart water systems taking place on May 8-9, 2013 in London. It provides information on registration discounts if registered by February 28th or March 28th, an overview of the event and key speaker biographies. The conference will cover topics like improving water systems, smart water monitoring, data management, waste water issues, and future opportunities in global smart grids.
1. Managed aquifer recharge (MAR) and groundwater buffering are ancient techniques that can help address water crises through behaviors like land use change.
2. MAR projects in locations like Jordan and the Netherlands demonstrate how groundwater can be used economically and wisely as a buffer, stabilizing water levels and allowing water reuse.
3. Further work is needed to scale MAR implementation appropriately through the watershed, addressing questions of water quality, optimization, governance, and bringing solutions to both local and regional levels.
1. Managed Aquifer Recharge (MAR) and groundwater buffering are ancient techniques that can help address water crises through behaviors like land use change.
2. MAR projects in locations like Jordan and the Netherlands demonstrate how groundwater can be used economically and sustainably as a buffer, stabilizing supplies.
3. While MAR technology is well developed, more work is needed to scale projects appropriately and facilitate knowledge sharing between countries on topics like water quality, governance, and cost-effectiveness.
DIGITAL TWIN TO AUTOMATE OPTIMISATION AND EMBED EXCELLENCE IN WWTP OPERATIONSiQHub
This document discusses using a co-simulation digital twin approach for managing wastewater treatment operations more efficiently. It describes calibrating a physics-based simulation model in real-time using data from a pilot wastewater treatment plant. This allows the model to provide soft sensing and early detection of issues. Combining the physics model with machine learning techniques could further improve its ability to optimize processes and reduce energy use and costs. The digital twin approach aims to help utilities more sustainably manage increasingly complex wastewater treatment operations.
Computational fluid dynamics in water waste treatment plantscm_teixeira
A CFD model can simulate the hydrodynamics of a design before implementation:
- Reducing lead-up times and costs
- Ultimately lead to optimization of reactor configuration
Dr shirish naik - Decentralized wastewater treatment systemspromediakw
This document discusses decentralized wastewater treatment systems and describes Naik Enviro's approach. Key points include:
1. Decentralized configurations can dramatically reduce capital and operating costs by decreasing pipe sizes, depths, and excavation needs compared to centralized systems.
2. Designing a decentralized system involves determining the optimal number of treatment zones, selection of treatment technologies, phased expansion plans, and reuse options to minimize costs.
3. Naik Enviro's algorithm for optimizing decentralized systems involves compiling city data, modeling flows, designing network configurations, and iteratively evaluating design options to find the most cost-effective solution.
The document describes a Resilience.IO simulation model to evaluate water, sanitation, and hygiene (WASH) scenarios in the Greater Accra Metropolitan Area (GAMA) of Ghana. It includes a synthetic population model to simulate water and sanitation demands. Technology datasets are used to model infrastructure options. Three use cases are presented: assessing ongoing projects, increasing water access, and analyzing toilet availability. Baseline results show ongoing projects will not meet 2025 goals, while city-wide systems achieving 100% access and treatment would require over $2 billion of investment from 2015-2025.
Australia with a Drying Climate - Sustainable urban water management. By what...SmartH2O
The document discusses sustainable urban water management strategies for Perth, Western Australia as the region experiences drying climate conditions and declining rainfall. It outlines three levels of strategies: 1) behavioral change programs like H2omesmart, 2) improved efficiency standards for appliances, and 3) new technologies such as decentralized seawater desalination plants and dual reticulation systems. Case studies on these initiatives show potential for significant water savings through community-based social marketing, more efficient devices, and alternative water sources. Future research is proposed on developing new urban villages with integrated water recycling and renewable energy systems.
Building on iMarine for fostering Innovation, Decision making, Governance and...Blue BRIDGE
BlueBRIDGE - Building Research environments fostering Innovation, Decision making, Governance and Education - is funded under H2020 and provides data services to scientists, researchers and data managers delivering a solid foundation for informed advice to competent authorities. A complete set of web-based data and computational resources will enable them to address key challenges related to the Blue Growth long term strategy with a strong focus on sustainable growth. BlueBRIDGE services will be built on top of the iMarine infrastructure (www.i-marine.eu) in order to capitalize on the previous investments made by the European Commission and as a first step towards their sustainability after the end of the project. www.bluebridge-vres.eu | @BlueBridgeVREs
During this meeting, the technical team from Imperial College London (ICL) and the Institute for Integrated Economics Research (IIER) showed the preliminary results from the resilience.io model prototype. They showed the water demand per district and how the technology infrastructure modelling can be used to meet water demands and sanitation treatment needs, as well as use case indicators and model functionality.
This document outlines the course details for a 5th semester Public Health Engineering course. It includes the course code, credit hours, teaching scheme, examination scheme, competencies, course outcomes, unit topics, student activities, micro-projects, learning resources and websites. The key topics covered are sources and quality of water, water purification, conveyance and distribution, domestic sewage systems, sewage characteristics and treatment. The goal is to provide knowledge on water supply and sanitation to help improve public health.
1. There is a need for a sustainable water infrastructure planning tool called SWIPES to help evaluate options like decentralized systems, water reuse, and desalination.
2. Improving current infrastructure involves considering more decentralized systems, increased water reuse as the norm rather than exception, and using desalination only during droughts.
3. SWIPES would be a decision support system to help assess the economics and sustainability of water infrastructure options by evaluating available water sources and capacities, current and potential infrastructure, and costs.
Isam shahrour conference "Smart Water" at Shandong - China (translated in Ch...Isam Shahrour
Conference of Isam Shahrour (Smart Water- lessons learned from 4-years of large experimentation) at the hydrology office of Shandong province, in charge of the management of water resources for 100 million inhabitants.
Around 100 researchers, senior engineers and engineers attended this conference. The conference focused on water challenges, Smart water concept, water network monitoring, SmartWater4Europe, lessons learned from the SunRise Smart City demonstrator.
Translation in Chinese by Hanbing Bian
The document describes WAWTTAR, a tool for planning water and wastewater treatment facilities that are appropriate for reuse. It provides a database of treatment technologies and processes, and helps evaluate options based on factors like costs, resource requirements, and cultural considerations to identify feasible treatment trains for a given community. The tool is intended to help engineers, planners, and decision makers evaluate options and plan facilities that view treated wastewater as a resource rather than a liability.
The document discusses the relationship between spatial representations, urban planning, and digitization. It covers topics like urban models and their role in planning, the impact of new digital data and public participation, and how representations are shifting to incorporate virtual environments. Idealized urban models are giving way to more accurate digital representations incorporating data from sensors, satellites, and ubiquitous digital networks. This allows new forms of public participation in planning processes and more accurate analysis of social and physical urban environments.
The document discusses participatory sensing and smart cities. It describes participatory sensing as an approach where individuals use mobile devices to collect and interpret data about their world. This helps people understand reality through data and change habits. The document advocates for creating communities before building projects. It presents DreamHamar as a network design process that engaged the public. It promotes participatory mapping, open networks, and community participation and sharing to build social cohesion in smart cities.
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Modeling tools and Web based technologies can support water resources management by:
1) Applying numerical models to study groundwater, surface water, and marine water dynamics through case studies.
2) Addressing challenges in environmental science like complex multi-scale dynamics and data availability.
3) Developing information systems and simulations to analyze pressures, states, and impacts on the environment and identify critical areas.
The team will cover the Current Status of the project (Rembrandt Koppelaar), Water Demands (Xiaonan Wang, Koen H. van Dam), Infrastructure construction (Rembrandt Koppelaar) and Toilet usage (Xiaonan Wang, Koen H. van Dam)
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The document discusses the challenges and opportunities in implementing wireless sensor networks for environmental monitoring. It notes that environmental monitoring science is facing increased data availability that requires new methods for managing, analyzing, and visualizing large datasets. Wireless sensor networks have great potential to support the evolving science through distributed sensing of the environment. However, their development faces challenges like improving remote durability, miniaturization, communication/coverage, sampling capabilities, memory, and data management. Advances could help scientists explore large datasets and detect events in real-time to better understand environmental trends.
SMi's 2nd Annual Smart Water Systems conferenceDale Butler
This document advertises a conference on smart water systems taking place on May 8-9, 2013 in London. It provides information on registration discounts if registered by February 28th or March 28th, an overview of the event and key speaker biographies. The conference will cover topics like improving water systems, smart water monitoring, data management, waste water issues, and future opportunities in global smart grids.
1. Managed aquifer recharge (MAR) and groundwater buffering are ancient techniques that can help address water crises through behaviors like land use change.
2. MAR projects in locations like Jordan and the Netherlands demonstrate how groundwater can be used economically and wisely as a buffer, stabilizing water levels and allowing water reuse.
3. Further work is needed to scale MAR implementation appropriately through the watershed, addressing questions of water quality, optimization, governance, and bringing solutions to both local and regional levels.
1. Managed Aquifer Recharge (MAR) and groundwater buffering are ancient techniques that can help address water crises through behaviors like land use change.
2. MAR projects in locations like Jordan and the Netherlands demonstrate how groundwater can be used economically and sustainably as a buffer, stabilizing supplies.
3. While MAR technology is well developed, more work is needed to scale projects appropriately and facilitate knowledge sharing between countries on topics like water quality, governance, and cost-effectiveness.
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This document discusses using a co-simulation digital twin approach for managing wastewater treatment operations more efficiently. It describes calibrating a physics-based simulation model in real-time using data from a pilot wastewater treatment plant. This allows the model to provide soft sensing and early detection of issues. Combining the physics model with machine learning techniques could further improve its ability to optimize processes and reduce energy use and costs. The digital twin approach aims to help utilities more sustainably manage increasingly complex wastewater treatment operations.
Computational fluid dynamics in water waste treatment plantscm_teixeira
A CFD model can simulate the hydrodynamics of a design before implementation:
- Reducing lead-up times and costs
- Ultimately lead to optimization of reactor configuration
Dr shirish naik - Decentralized wastewater treatment systemspromediakw
This document discusses decentralized wastewater treatment systems and describes Naik Enviro's approach. Key points include:
1. Decentralized configurations can dramatically reduce capital and operating costs by decreasing pipe sizes, depths, and excavation needs compared to centralized systems.
2. Designing a decentralized system involves determining the optimal number of treatment zones, selection of treatment technologies, phased expansion plans, and reuse options to minimize costs.
3. Naik Enviro's algorithm for optimizing decentralized systems involves compiling city data, modeling flows, designing network configurations, and iteratively evaluating design options to find the most cost-effective solution.
The document describes a Resilience.IO simulation model to evaluate water, sanitation, and hygiene (WASH) scenarios in the Greater Accra Metropolitan Area (GAMA) of Ghana. It includes a synthetic population model to simulate water and sanitation demands. Technology datasets are used to model infrastructure options. Three use cases are presented: assessing ongoing projects, increasing water access, and analyzing toilet availability. Baseline results show ongoing projects will not meet 2025 goals, while city-wide systems achieving 100% access and treatment would require over $2 billion of investment from 2015-2025.
Australia with a Drying Climate - Sustainable urban water management. By what...SmartH2O
The document discusses sustainable urban water management strategies for Perth, Western Australia as the region experiences drying climate conditions and declining rainfall. It outlines three levels of strategies: 1) behavioral change programs like H2omesmart, 2) improved efficiency standards for appliances, and 3) new technologies such as decentralized seawater desalination plants and dual reticulation systems. Case studies on these initiatives show potential for significant water savings through community-based social marketing, more efficient devices, and alternative water sources. Future research is proposed on developing new urban villages with integrated water recycling and renewable energy systems.
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During this meeting, the technical team from Imperial College London (ICL) and the Institute for Integrated Economics Research (IIER) showed the preliminary results from the resilience.io model prototype. They showed the water demand per district and how the technology infrastructure modelling can be used to meet water demands and sanitation treatment needs, as well as use case indicators and model functionality.
This document outlines the course details for a 5th semester Public Health Engineering course. It includes the course code, credit hours, teaching scheme, examination scheme, competencies, course outcomes, unit topics, student activities, micro-projects, learning resources and websites. The key topics covered are sources and quality of water, water purification, conveyance and distribution, domestic sewage systems, sewage characteristics and treatment. The goal is to provide knowledge on water supply and sanitation to help improve public health.
1. There is a need for a sustainable water infrastructure planning tool called SWIPES to help evaluate options like decentralized systems, water reuse, and desalination.
2. Improving current infrastructure involves considering more decentralized systems, increased water reuse as the norm rather than exception, and using desalination only during droughts.
3. SWIPES would be a decision support system to help assess the economics and sustainability of water infrastructure options by evaluating available water sources and capacities, current and potential infrastructure, and costs.
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Conference of Isam Shahrour (Smart Water- lessons learned from 4-years of large experimentation) at the hydrology office of Shandong province, in charge of the management of water resources for 100 million inhabitants.
Around 100 researchers, senior engineers and engineers attended this conference. The conference focused on water challenges, Smart water concept, water network monitoring, SmartWater4Europe, lessons learned from the SunRise Smart City demonstrator.
Translation in Chinese by Hanbing Bian
The document describes WAWTTAR, a tool for planning water and wastewater treatment facilities that are appropriate for reuse. It provides a database of treatment technologies and processes, and helps evaluate options based on factors like costs, resource requirements, and cultural considerations to identify feasible treatment trains for a given community. The tool is intended to help engineers, planners, and decision makers evaluate options and plan facilities that view treated wastewater as a resource rather than a liability.
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Overview
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Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Zeferino, Cunha and Antunes - input2012
1. 0
FACULTY OF SCIENCES
AND TECHNOLOGY
UNIVERSITY OF COIMBRA
Cagliari, 10-12 May 2012
A robust model for regional
wastewater system planning
João Zeferino, Maria C. Cunha e António Antunes
2. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Outline
• I – Problem presentation
• II – Optimization approach
• III – OptWastewater
• IV – Case study
• V – Model results
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
1
3. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Introduction
• Estimated 2.5 billion people without basic sanitation
– 90% of the wastewater daily discharged in developing countries is untreated
• Millennium Development Goals (1990-2015) :
– target 7C – ENSURE ENVIRONMENTAL SUSTAINABILITY
• Halve, by 2015, the proportion of the population
without sustainable access to safe drinking water
and basic sanitation
• Regional wastewater system planning
– A planning approach at regional level takes advantage of scale economies, while
achieving a better environmental performance.
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
2
4. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Regional Wastewater Systems Planning
• The infrastructure for draining and treating wastewater includes the
following facilities:
– Wastewater treatment plants (WWTP) to process the wastewater
before it is discharged into rivers
– Sewer networks connecting the population centers with the WWTP
– Pump stations to lift wastewater if it is unfeasible or uneconomic to drain
it by gravity
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
3
5. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Regional Wastewater Systems Planning
ECONOMIC / ENVIRONMENTAL
• Find the minimum cost configuration • Guarantee the water quality in the
for the system required to drain and river that receives the treated
treat the wastewater wastewater discharges
– Installation costs
– Operation and maintenance costs
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
4
6. I – Problem II – Optimization
III – OptWastewater IV – Case Study IV – Model results
Presentation Approach
Optimization Model
minimize C Objective to optimize (costs)
Continuity QRi
∑Q ji − ∑ Qij = −QRi , i ∈ NS Qji i Qij
j∈N S ∪N I j∈N
∑
Q jl − ∑ Qlj = 0, l ∈ NI
Qjl l Qlj
j∈NS ∪ N I j∈N
∑Q jk = QTk , k ∈ N T
Qjk k
j∈N S ∪ N I
QTk
∑QRi = ∑ QTk
i∈N S k∈NT
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
5
7. I – Problem II – Optimization
III – OptWastewater IV – Case Study IV – Model results
Presentation Approach
Optimization Model
minimize C Objective to optimize (costs)
∑ Q ji − ∑ Qij = −QRi , i ∈ NS
j∈N S ∪ N I j∈N
∑ Q jl − ∑ Qlj = 0, l ∈ NI
j∈NS ∪ N I j∈N
∑ Q jk = QTk , k ∈ NT Continuity
j∈N S ∪ N I
∑QRi = ∑ QTk
i∈N S k∈NT
Capacity
• Bernoulli theorem
QTk ≤ QT maxk . yk , k ∈ NT • Head losses (Manning-Strickler
equation)
Hydraulic • Flow velocity
Q min ij .xij ≤ Qij ≤ Q max ij .xij , i ∈ N S ∪ N I ; j ∈ N
model • Sewer slope
• Diameters commercially availabe
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
6
8. I – Problem II – Optimization
III – OptWastewater IV – Case Study IV – Model results
Presentation Approach
Optimization Model
minimize C Objective to optimize (costs)
∑ Q ji − ∑ Qij = −QRi , i ∈ NS
j∈N S ∪ N I j∈N
∑ Q jl − ∑ Qlj = 0, l ∈ NI
j∈NS ∪ N I j∈N
∑ Q jk = QTk , k ∈ NT Continuity
j∈N S ∪ N I
∑QRi = ∑ QTk
i∈N S k∈NT
QTk ≤ QT maxk . yk , k ∈ NT
Q min ij .xij ≤ Qij ≤ Q max ij .xij , i ∈ N S ∪ N I ; j ∈ N
Capacity
Environmental
DO k ≥ DO min , k ∈ N T
• Based on QUAL2E from EPA
Pk ≤ Pmax , k ∈ N T
Water quality model • Advection-Difusion equation
N k ≤ N max , k ∈ N T
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
7
9. I – Problem II – Optimization
III – OptWastewater IV – Case Study IV – Model results
Presentation Approach
Optimization Model
minimize C Objective to optimize (costs)
∑ Q ji − ∑ Qij = −QRi , i ∈ NS
j∈N S ∪ N I j∈N
∑ Q jl − ∑ Qlj = 0, l ∈ NI
j∈NS ∪ N I j∈N
∑ Q jk = QTk , k ∈ NT Continuity
j∈N S ∪ N I
∑QRi = ∑ QTk
i∈N S k∈NT
QTk ≤ QT maxk . yk , k ∈ NT
Q min ij .xij ≤ Qij ≤ Q max ij .xij , i ∈ N S ∪ N I ; j ∈ N
Capacity
DO k ≥ DO min , k ∈ N T
Pk ≤ Pmax , k ∈ N T Environmental
N k ≤ N max , k ∈ N T
xij ∈ {0,1}, i ∈ N S ∪ N I ; j ∈ N
y k ∈ {0 ,1}, k ∈ N T
QTk ≥ 0, k ∈ N T
Integrality and Nonnegativity
Qij ≥ 0, i ∈ N S ∪ N I ; j ∈ N
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
8
10. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Uncertainty
• Uncertainty in the River Flow → Water quality
– Scenario Planning
• Robust Optimization - Mulvey et al. (1995)
– Involves the use of probabilities for the future scenarios and incorporates mean
and variability measures.
– Allows for possible infeasibilities in the solution for some scenarios.
• The approach embraces two robustness concepts:
– Solution robustness - relates to optimality, that is, whether the solution is
“close” to optimal for any scenario.
– Model robustness - relates to feasibility, that is, whether the solution is
“almost” feasible for any scenario.
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
9
11. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Robust Optimization Model
Min C + θ .∑ p s ∑ ∑ ( max { 0; DO max ks − DO pks }) 2 Robust formulation
s∈S k∈N T p∈N E
∑ Q ji − ∑ Qij = −QRi , i ∈ NS
j∈N S ∪ N I j∈N
∑ Q jl − ∑ Qlj = 0, l ∈ NI
j∈NS ∪ N I j∈N
∑ Q jk = QTk , k ∈ NT Continuity
j∈N S ∪ N I
∑QRi = ∑ QTk
i∈N S k∈NT
QTk ≤ QT maxk . yk , k ∈ NT
Q min ij .xij ≤ Qij ≤ Q max ij .xij , i ∈ N S ∪ N I ; j ∈ N
Capacity
xij ∈ {0,1}, i ∈ N S ∪ N I ; j ∈ N
y k ∈ {0 ,1}, k ∈ N T
QTk ≥ 0, k ∈ NT
Integrality and Nonnegativity
Qij ≥ 0, i ∈ N S ∪ N I ; j ∈ N
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
10
12. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Solution Method
Legend
• Hybrid algorithm implementation Population center
Possible sewer
Pump station
WWTP
simulated annealing - local improvement : Sewer
– Definition of the initial
incumbent solution
– Definition of the neighborhood
of an incumbent solution
– Definition of the cooling
schedule of the SA algorithm
Parameters: α1 , λ , γ , σ
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
11
13. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
http://sites.google.com/site/optwastewater
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
12
14. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
River Una Basin, Pernambuco
Brazil
Characteristics:
• Area: 6 736 km2
• Total inhabitants: 800 000
• River: 255 km
• 10 river reaches
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
13
15. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Scenarios
Min C + θ . ∑ p s ∑ ∑ ( max { 0 ; DO max ks − DO pks }) 2
s∈ S k∈ N T p∈ N E
River Reach
DOmaxks
1, 2, 3 and 4 5 and 6 7 and 8 9 and 10 ps
Scenario [ Q min , Q max [ (m 3 /s) (%)
1 [ 1.0 , 1.2 [ [ 2.0 , 2.4 [ [ 4.0 , 4.8 [ [ 8.0 , 9.6 [ 0.68
2 [ 1.2 , 1.4 [ [ 2.4 , 2.8 [ [ 4.8 , 5.6 [ [ 9.6 , 11.2 [ 2.77
3 [ 1.4 , 1.6 [ [ 2.8 , 3.2 [ [ 5.6 , 6.4 [ [ 11.2 , 12.8 [ 7.91
4 [ 1.6 , 1.8 [ [ 3.2 , 3.6 [ [ 6.4 , 7.2 [ [ 12.8 , 14.4 [ 15.92
5 [ 1.8 , 2.0 [ [ 3.6 , 4.0 [ [ 7.2 , 8.0 [ [ 14.4 , 16.0 [ 22.57 River Reach
6 [ 2.0 , 2.2 [ [ 4.0 , 4.4 [ [ 8.0 , 8.8 [ [ 16.0 , 17.6 [ 22.57 1 2 3 4 5 6 7 8 9 10
7 [ 2.2 , 2.4 [ [ 4.4 , 4.8 [ [ 8.8 , 9.6 [ [ 17.6 , 19.2 [ 15.92 Scenario DOm ax ks (mg/L)
8 [ 2.4 , 2.6 [ [ 4.8 , 5.2 [ [ 9.6 , 10.4 [ [ 19.2 , 20.8 [ 7.91 1 7.48 7.04 7.08 7.05 7.06 7.03 7.30 7.01 7.58 7.00
9 [ 2.6 , 1.8 [ [ 5.2 , 5.6 [ [ 10.4 , 11.2 [ [ 20.8 , 22.4 [ 2.77 5 8.04 7.67 7.70 7.72 7.67 7.66 7.89 7.66 8.20 7.66
10 [ 2.8 , 3.0 [ [ 5.6 , 6.0 [ [ 11.2 , 12.0 [ [ 22.4 , 24.0 [ 0.68 10 8.33 8.00 8.00 8.01 8.01 8.00 8.19 8.00 8.36 8.00
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
14
16. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Model Solving
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
15
17. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Model Results
θ=0
Min C + θ . ∑ p s ∑ ∑ ( max { 0 ; DO max ks − DO pks }) 2
C = 141.95 M€
s∈ S k∈ N T p∈ N E
DOmaxks
DOpks
θ = 0.1 θ = 10
C = 170.21 M€ C = 194.37 M€
DOpks
DOpks
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
16
18. I – Problem II – Optimization
III – OptWastewater IV – Case Study V – Model results
Presentation Approach
Conclusion
• Optimization for regional wastewater systems planning
• Decision support tool – OptWastewater – user friendly
software
• Application to real world situations
• Simulated annealing algorithm calibration
• Robust optimization model
10-12 FACULTY OF SCIENCES
May
A robust model for regional wastewater system planning AND TECHNOLOGY
UNIVERSITY OF COIMBRA
17