presented by: tommy carpenter computer science university of waterloo
TRANSCRIPT
PRESENTED BY:
TOMMY CARPENTER
COMPUTER SCIENCE
UNIVERSITY OF WATERLOO
Outline
The grid has real problems
• that smart grids can solve
These problems are intrinsic and difficult
• so progress has been slow
Three areas where changes are imminent are solar, storage, and sensing
• examples of our work in these areas
The Grid
…is old
Post-war infrastructure is reachig EOL
…inefficient
US DOE: http://www.southeastchptap.org/cleanenergy/chp/
…poorly measured
…poorly controlledElectrons are not addressable
RealityPerception
…dirty (mostly)
…without storage (mostly)
Needed capacity
http://ieso-public.sharepoint.com/
Smart grid
Current gridRenewables/low carbon
Storage rich
Sensing rich
Control rich
Efficient
Decentralized
High carbon footprint
Little to no storage
Poorly measured
Poorly controlled
Inefficient
Centralized
Smart grid
…but Consumers & Utilities lack incentives
Savings of 10%: $5-10/month
Utilities make $$ regardless
hence slow progress:
-Demand response: only time of use pricing
-Grid storage: tiny
-Smart buildings and homes: demo stage
-Microgrids: rare
-Electric vehicles: early mainstream
-Security and privacy: mostly missing
Three inflection points
Solar
Storage
Sensing (and control)
Storage research, investment growthGlobal investment to reach $122 Billion by 2021 – Pike Research
LiON Declining. $600 down to <$200
Largest change: EVs Some grid storage
Sensing & Control
Michigan Micro Mote
HomeGrid
Pervasive
Our Contributions
GRIDRenewable Source
ElectronsStorage
Transmission lineTransmission network
Distribution networkDemand response
INTERNET =Variable bit-rate source=Bits=Buffer=Communication link=Tier 1 ISP=Tier 2/3 ISP=Congestion control
Insight: Grid-Net Isomorphism
SSS: Solar, Storage, Sensing
Sensing: auto thermal comfort (Spotlite) - Uses ML to learn comfort levels, occupancy patterns
- Pre-heat prior to occupancy periods, lower heat afterwards
- Cooling
6 7 8 9 10111213141516171820212223242526
Time of a day
Te
mp
era
ture
Sensing: preserving data privacy
App
VEE
API
App Store
Gateway
Host
-Certification and Validation
-Data collection
-Data access control-Application
framework
-High density hosting
-Integrating cloud storage
Each user’s data is stored and processed (by apps) in user-owned virtual execution environments, enabling:
Data ownershipData privacyData applications
Sensing + Storage: distributed charging
1 EV = 5 homes
• Creates hotspots
Real-time AIMD control of EV charging rate
Solution is both fair and efficient
- Goal: fairly allocate resources during congestion periods- Our work: distributed, model free and real time via congestion signals- Prior work: centralized, perfect network knowledge, day ahead,
Solar + Storage: Solar EV Charging - Base case (no solar): try meeting all charging deadlines - If infeasible; perform fair allocation
- Integrate solar to reduce emissions while ensuring same (or greater) utility
Solar + Storage: ROI, EROEI of Solar Systems w/ Storage
-Advanced modeling of stochastic inputs, comprehensive battery model
Storage: EV ecosystem & adoption modeling
Storage: EV Sentiment Analysis
EV Ops gauged using:
- Field Trials: Expensive = usually short, not many participants
- Surveys: Hard to target
- But lots of opinions buried in discussion forums!
Storage: EV Sentiment Analysis
Storage (EVs): Vehicle Access networks for EV owners- Range Anxiety: long trips not possible yet. Prohibitive to ownerswithout another car.
- EV owners sometimes need access to ICEVs
- Solution: operate some form of multi pool network (a carshare)
- Can be integrated into dealership, operated by gov, community nonprofit, etc.
- Regardless of business model, sizing/managing the fleet is hard
Storage (EVs): Vehicle Access networks for EV owners
Challenge: Ensure maintained over timeDemand patterns constantly changing, non-stationary, arbitrary
Sensing + storage + solar: WeBike- A fleet of 25-30 ebikes on campus
- Tons of sensors, data collection
- Bikes now being deployed!
Why study eBikes?
Conclusions
- We are networking and smart grid researchers exploiting similarities between the net and grid
- Currently working in 3 main areas:
- Solar- Storage (EVs)- Sensing/Control
Extra Slides
Sensing: TOU pricing analysis
Current
Sensing: TOU pricing analysis
Current
Sensing: TOU pricing analysis
Current
Proposed
Solar + Storage: Cost-Efficient Energy Storage
Source: European technology platform: Smart Grids
Smart grid vision