Home Energy Management – Control Algorithm

Energy Management – Living Environment

Energy Management – Home

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Technical Scopes

Approach :Sim & Implement

Sensors

EM Control Algo.

UI

DR

HA Control Algo.

Visual – Sensor Home Energy Management

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Home Energy Management

Control @ HAs

Control @ i-SEG

Control on Platform

EM Features1.Individual Performance2.Tuned to Components3.Single HA performance

EM Operations1.Not Dependent on ext. Devices2.May be compliance to utility operators

EM Features1.Control Group of HAs2.Tuned to System Level of Components3.Tuned to different HA performance

EM Operations1.Dependent on Ext Devices2.Compliance to regional utility operators3.Need Displays for user settings4.Control Algorithms for group of Devices

EM Features1.Control Group of HAs2.Tuned to System Level of Components3.Tuned to different HA performance4.Sensing from Usage of connected CEs & Occupants5.Inputs from add on sensors in home and CEs

EM Operations1.Dependent on Ext Devices2.Compliance to regional utility operators3.Exploit existing Display for HMI4.Control Algorithms include additional Sensors inputs

Control4AV Control + Energy Management

Energy Management – Commercial (1/2)

Panasonic View PointSpecialize Market for AV Control and Communication + Energy Management

Possible Permutations Visual (Business Use Cases)

Automated ReceptionistSecurity AccessRemote Control of Devices

Energy Management (B & C)Consumption Control of Equipment / HAUsage Display & Management

AV (Home Use Cases)AV Program Summary Remote Access to Audio & VisualIPTV FunctionsVisual CommunicationSecure Camera accessSecurity Camera Prompts

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Commercial - Target Small Biz & Enterprise

Control –Audio/VideoMusicSecurityEnergy Management

Energy Management – Commercial (2/2)

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Intel – Home DashboardDisplay a snapshot of home’s wellbeingPlatform for 2nd Home Screen - Lifestyle

Capabilities•Home Monitoring through Sensor Networks•Remote Management•Intel Atom Processor with 11.25” OLED display•Capacitance touchscreen•Networks capabilities, Motion Sensors, Stereo Speaker

Energy AV Management

Panasonic View PointHome Lifestyle 2nd Display Screen - AV Communication + Energy Management + Device Management

Possible Permutations Device Management

Manage Device connectivity Remote Control of Devices

Energy Management (B & C) Consumption Control of Equipment / HA Usage Display & Management

AV (Home Use Cases) AV Memo AV Program Summary Remote Access to Audio & Visual IPTV Functions Visual Communication Secure Camera access Security Camera Prompts

R&D Theme Scope

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Using AcademicTile: Literature review/prior research on small scale energy management & control system (EMCS)Description: This EMCS is for home and small scale business, e.g. convenient store; office building (using split air-con) based on the integration system of existing Panasonic’s products, e.g., home/commercial air con, PV, Storage Battery.

Backgrounds of small scale EMCS Important input/output/parameters for EMCS EMCS suitable for Singapore, Thailand & Australia Possible and feasible control algorithms for EMCS for Home to Small Enterprise

Implementation of Control AlgorithmStep 1 : Generic Control Algorithm for Energy Management with Visualization (User Budget)  Step 2 : Time based Projection based on Thermal Capacity Estimation & Weather Data ( eg. 30 mins data for 10 Days )

Appendix - 01

Optimization strategy and algorithm

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Nonlinear Dynamic Optimization problem

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Classification of opt. techniques 9

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Summary of nonlinear optimization 10

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Particle Swarm Optimization (PSO) 11

sk

vk

vpbest

vgbest

sk+1

vk+1

sk

vk

vpbest

vgbest

sk+1

vk+1

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Particle Swarm Optimization (PSO) 12

Flow chart depicting the General PSO Algorithm:

Start

Initialize particles with random position and velocity vectors.

For each particle’s position (p) evaluate fitness

If fitness(p) better than fitness(pbest) then pbest= pL

oop

un

til a

ll

par

ticl

es e

xhau

st

Set best of pBests as gBest

Update particles velocity (eq. 1) and position (eq. 3)

Lo

op

un

til m

ax it

er

Stop: giving gBest, optimal solution.

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Computation time & memory Est. 13

e.g. 1 second per run and 500 runs to converge at the optimum/approximate optimum, the total computation time equals to 500 seconds.

2 bytes x 960 = 1.92 MB per particle and 200 particles swarm size, the total memory approximately equals to 384 MB.

* The number of iteration runs and swarm size depends on the simulation results of testing

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Background

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Building & household sector consume large fraction of total energy usage.

Of the Energy Usage, Heating, ventilating and air conditioning (HVAC) system consume a large fraction of total building energy usage.

Factors of environment & building characteristics greatly affects the installation & performance of building - HVAC system.

Appendix - 02

HEMS case study and ECO NAVI function of Panasonic AC

HEMS – Overview

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Key functions of HEMS

auto-configuration: auto-configuration is the most important function for customers of home network services because many homes have a wrong configuration.

easy monitoring: comfort and easy access to real-time information on energy consumption help the user pay attention to energy saving.

remote controlling: online access to a customer’s usage pattern and device status enables appliances to be controlled remotely.

smart planning: automatic peak load management provides smart planning for reducing energy consumption.

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Home network configuration

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Software structure

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Flowchart- based on PLC communication

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Function and supporting devices

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Impact factors

The home air –con are optimized based on many factors: 1. The available air con’s energy efficiency 2. Timetable: different rooms need to be cooled in

different times of the day 3. The renewable energy available in the power grid

/estimated renewable energy 4. Cooperation with other home appliance (ventilator,

all heat exchanger, refrigerator) 5. Weather forecast 6. Sensors (outside temperature, inside temperature,

draft from room to room, human activities, open doors/windows)

7. Power company’s pricing policy and real time tariff

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Thank You

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