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Phoenix Convention Center • Phoenix, Arizona Transactive Energy in Building Clusters [Innovation] [Regional Innovation in Arizona] Teresa Wu Arizona State University August, 12, 2015

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Page 1: Phoenix Convention Center Phoenix, Arizona Transactive Energy in Building Clusters [Innovation][Regional Innovation in Arizona] Teresa Wu Arizona State

Phoenix Convention Center • Phoenix, Arizona

Transactive Energy in Building Clusters

[Innovation] [Regional Innovation in Arizona]

Teresa WuArizona State University

August, 12, 2015

Page 2: Phoenix Convention Center Phoenix, Arizona Transactive Energy in Building Clusters [Innovation][Regional Innovation in Arizona] Teresa Wu Arizona State

Energy Exchange: Federal Sustainability for the Next Decade2

• Smart building (NetZero building)— System integration— Zero energy request

• Smart grid— Information integration— Bi-directional communication

• On-going research activities focus on— Technological advancement at the

building level, OR— Infrastructure advancement at the grid

level

What is the next generation building systems?

Research Background

SMARTER: Smarter Manager for Adaptive and Real-Time decisions in building clustERs

Page 3: Phoenix Convention Center Phoenix, Arizona Transactive Energy in Building Clusters [Innovation][Regional Innovation in Arizona] Teresa Wu Arizona State

Energy Exchange: Federal Sustainability for the Next Decade3

• SMARTER System (Building Clusters) — Be resilient to disturbance— Reduce energy consumption— Save overall energy cost— Improve environment sustainability

• Next Generation Building Systems

– Interconnected (physically, virtually)

– Share energy resources – Freely exchange information

Proposed Concept: SMARTER

Page 4: Phoenix Convention Center Phoenix, Arizona Transactive Energy in Building Clusters [Innovation][Regional Innovation in Arizona] Teresa Wu Arizona State

Energy Exchange: Federal Sustainability for the Next Decade

• Viridity Energy Inc. is Philadelphia based leading energy service provider (http://viridityenergy.com/)

• Campus level– Operate multiple buildings– Minimize overall cost for the campus

• Viridity Energy Inc. level– Schedule multiple campuses– Virtually connect two campuses– Maximize incentives

4

operation schedule

operation schedule

Energy Wholesaler

incentives

SMARTER: A Perspective from Industry

Patent: PCT/US2013/039761

Page 5: Phoenix Convention Center Phoenix, Arizona Transactive Energy in Building Clusters [Innovation][Regional Innovation in Arizona] Teresa Wu Arizona State

Energy Exchange: Federal Sustainability for the Next Decade5

• Sponsored by NSF Cyber-Physical System Program (Sep. 2012 – Sep. 2016)

• Objective: develop a decision framework to enable real-time autonomous, robust, and optimal building energy system operation decisions for temporally and spatially distributed building clusters.

• The framework includes innovative algorithms and tools for– Building energy modeling– Intelligent data fusion– Decentralized decisions and adaptive decisions

• SMARTER will transform the current centralized and uni-directional power distribution business model to a decentralized and multi-directional power sharing and distribution business model, reducing overall energy consumption and allowing for optimal decisions in changing operation environments.

Scope

Page 6: Phoenix Convention Center Phoenix, Arizona Transactive Energy in Building Clusters [Innovation][Regional Innovation in Arizona] Teresa Wu Arizona State

Energy Exchange: Federal Sustainability for the Next Decade

Multiple Pareto frontiers under different conditions(ASU/UB)

Self-tuned noise tolerant models(DU /ASU) Adaptive Pareto decisions

(UB/ASU)

Validation & DisseminationPhysical System: real building monitoring cyber data from university campus buildings

Test Bed (DU/Siemens): a building cluster emulator validated by real building data Dissemination (ASU/DU/UB/Siemens): Tri-University Program, Workshop, Internship Program

SMARTER:How next generation NetZero

building clusters make operation decisions dynamically,

autonomously, robustly with the assist of cyber data?

Operation performance (e.g., energy consumption) for different condition (e.g., peak hours, off-peak hours)

Control based transitioning from Pareto solutions

What models?

How do decisions evolve?

What decisions?

What impact?

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Heavy Mass Building Cost ($/day)

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Research Roadmap

Page 7: Phoenix Convention Center Phoenix, Arizona Transactive Energy in Building Clusters [Innovation][Regional Innovation in Arizona] Teresa Wu Arizona State

Energy Exchange: Federal Sustainability for the Next Decade7

• Vision: buildings freely form clusters to share and exchange site-generated energy

• Needs: test bed for building clusters; high fidelity models; operation strategies

Achievement 1: Building cluster hardware in a loop emulator

Red line is the measured cooling energy consumption and Purple line is the forecasted consumption from our high fidelity model, which outperforms other popular models reported in the literature

Achievement 2: High fidelity energy forecasting models are developed for building clusters and the performances are compared with other models in the literature. Our models presents better accuracy, extendibility, robustness, and computation efficiency

Page 8: Phoenix Convention Center Phoenix, Arizona Transactive Energy in Building Clusters [Innovation][Regional Innovation in Arizona] Teresa Wu Arizona State

Energy Exchange: Federal Sustainability for the Next Decade8

Bring green energy concept into the classroom

• Plug in video here

Page 9: Phoenix Convention Center Phoenix, Arizona Transactive Energy in Building Clusters [Innovation][Regional Innovation in Arizona] Teresa Wu Arizona State

Energy Exchange: Federal Sustainability for the Next Decade9

Acknowledgement

• National Science Foundation• Department of Education

Funding sources: