URBAN WEALTH, Q LIFE AND THE D “M · 2018-10-18 · URBAN WEALTH, QUALITY OF LIFE, AND THE DESIGN...
Transcript of URBAN WEALTH, Q LIFE AND THE D “M · 2018-10-18 · URBAN WEALTH, QUALITY OF LIFE, AND THE DESIGN...
URBAN WEALTH, QUALITY OF LIFE, ANDTHE DESIGN OF “METASTRUCTURE”
Michael D. LepechAssociate Professor of Civil and Environmental EngineeringThomas V. Jones Engineering Faculty ScholarSenior Fellow at the Woods Institute for the Environment
September 19, 2018
CIFE Summer ProgramStanford, California
BUILDINGS AND THEIR IMPACT ON QUALITYOF LIFE
Image from NASA
< 2%Land Area
Ramsar (2012)
> 60%Growth
> 70%Global CO2
UN (2011)
Adapted from Best (2016)
Urban GDP per CapitaLow High
Potential of Singularly Designed
Urban Systems to Improve
Quality of Life
Low
High
URBAN WEALTH – QUALITY OF LIFE
Laramee, J. (2017)
http://phys.org (2016)
Lepech, M., Schwegler, B., Fischer, M., Mokrian, P. (2016)
Urban GDP per CapitaLow High
Potential of Singularly Designed
Urban Systems to Improve
Quality of Life
Low
High
URBAN WEALTH – QUALITY OF LIFE
Potential of Holistically Designed
Urban Systems to Improve
Quality of Life
Low
High
Disney (2016)
Lepech, M., Schwegler, B., Fischer, M., Mokrian, P. (2016)
Urban GDP per CapitaLow High
Potential of Singularly Designed
Urban Systems to Improve
Quality of Life
Low
High
Lepech, M., Schwegler, B., Fischer, M., Mokrian, P. (2016)
URBAN WEALTH – QUALITY OF LIFE
Potential of Holistically Designed
Urban Systems to Improve
Quality of Life
Low
High
Developed World
Challenge?
Developing World Challenge
?
Rogers, A. (2016) “Welcome to the Metastructure: The New Internet of Transportation” Wired Magazine. January 4, 2016
URBAN “METASTRUCTURE”
Urban MetastructureThe set of physical infrastructures, digital IT
technologies, regulations and policies, financing mechanisms, community engagements, businesses
and business models, partnerships, and other institutions that must be created, applied, and
sustained in concert with each other to provide a high quality of urban life.
Urban GDP per CapitaLow High
Potential of Singularly Designed
Urban Systems to Improve
Quality of Life
Low
High
Lepech, M., Schwegler, B., Fischer, M., Mokrian, P. (2016); Kim (2016)
AN URBAN METASTRUCTURE STRATEGY
Potential of Holistically Designed
Urban Systems to Improve
Quality of Life
Low
High
Disney (2016)
Integrated Urban Material FlowsInfrastructure IoT Performance Sensing and Adaptation
Lepech, M.. (2017)Stanford Codiga (2017)
Integrated Wastewater Treatment & Energy Production
Stanford CIFE (2017)
Digital Twinning and Optimization of Urban Operations
CGPC
New Urban Governance and Finance ModelsInnovative Urban Business Models and Companies
Met
astr
uctu
re
Metastructure
MEASURING “QUALITY OF LIFE”
IDENTIFYING THE COMPONENTS OF QUALITY OF LIFE
DIVING DEEP ON QUALITY OF LIFE
INFRASTRUCTURE IOT PERFORMANCESENSING AND ADAPTATION
NEXT GENERATION SYSTEMS FOR INFRASTRUCTURE OPERATIONS
Sundholm, V., Lepech, M. D., & Wikström, K. (2015)
NEXTGEN MUNICIPAL CREDIT RISK MODELING: DIGITAL TWINNING
Service Life
Prediction
Material andTransportModels
Cracking
Debonding
Properties
Resistivity
Ions
Oxygen
TemperatureMoisture
TemperatureMoisture
MicrostructureIons Oxygen
FROM BIM TO FEM – FIDELITY UPGRADE
COMSOL ModelCOMSOL Mesh
DIGITAL TWIN SIMULATION RESULTS
Corrosion current densityLattice model of crack formation
PROBABILISTIC RISK-BASED CASH AND IMPACT FORECASTING
IMPACT BONDS AND “PAY FOR SUCCESS”Various Mechanisms
› Social Impact Bonds (SIB) or “pay-for-success”› Green bonds› Carbon tax› Cap-and-trade
Kim (2014)
COST/REVENUE SHARING FOR SMART SERVICESKim (2014)
INTEGRATED URBAN INFRASTRUCTURE
• Building Mix and Land Use
• Network Configuration
1
https://thenounproject.com/
• Power Generation Tech
• Heating Tech• Cooling Tech
• Water Treatment and Reclamation Techs
• Weather conditions• Climate
• Solar irradiation• Distribution System Properties
URBAN SYSTEM VARIABLES AND CONSTRAINTS
Best (2016)
COMMUNITY FOCUS OF INTEGRATED PLANNING AND DESIGN
INTEGRATING ENERGY SYSTEMS, BUILDINGS, AND COMMUNITIES
Best (2016)
Copied from Rob’s thesis
MODELING COMBINED CHP ENGINES
Best (2016)
MODELING CHILLERS
Best (2016)
Building mix (demand)
Supply Techs (E, H, C, W)
Objectives:• Max energy eff• Min CO2,e,TFC• Min LCC
INTEGRATED INFRASTRUCTURE SYSTEM MODELING APPROACH
CASE STUDY: URBAN SYSTEM PLANNING METRICS
Gross Floor Area (GFA): Sum of total floor area of all buildings developed
Floor Area Ratio (FAR): GFA divided by total site area
Maximum Height: Maximum height of the buildings
Dwelling Units per Acre: Total of houses + apartments / number of acres
260 ACRE SITE IN SAN FRANCISCO
OPTIMAL COMMUNITY SCENARIOS
Building mix (demand)
Supply Techs (E, H, C, W)
Objectives:• Max energy eff• Min CO2,e,TFC• Min LCC• Max Reclaimed Water
INTEGRATED INFRASTRUCTURE SYSTEM MODELING APPROACH
1 . Convent iona l sys tems (phys ica l , chemica l , & bio log ica lt rea tment )
2 . Trad i t iona l combined wi th membranes
3 . Membrane-based
INTEGRATING WATER TREATMENT TECHNOLOGIES
CCHPWaste Heat
1
2
3
4
Wastew
ater
Produced Water
3
MODELING FORWARD OSMOSIS-MEMBRANE DISTILLATION
INTEGRATING WATER TREATMENT WITH ENERGYPRODUCTION AND BUILDING DESIGN
VISUALIZATION DEMONSTRATION
ConclusionsUrban Wealth – Quality of Life Challenge highlights both the developed world and
developing world challenge with urban systems
Solutions to the challenge will comprise a new urban “metastructure” that connects existing and new technologies in innovative ways
Infrastructure IoT Performance Sensing and AdaptationLeveraging BIM to build multi-physics high fidelity performance models of infrastructure systems and buildings
Integrating Urban System Infrastructure SystemsBuilding Design with Community Energy SystemsBuilding Design with Energy Systems and Water Systems
Continuing development of Design, Analysis, Optimization, and Visualization Tools to support a sustainable built environment and high quality of life at all scales of architecture, engineering, and construction (AEC)
QUESTIONS