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Abstract

We have analyzed and designed a Home Energy Management System. This


system provides real-time energy and budgeting information to help
residential consumers optimize their electricity use. It reduces financial
costs through a digital user-interface that intelligently directs how energy is
consumed. Consumers can use our software to dynamically interact with the
electrical appliances of their buildings. The user gains four new abilities
through our system: (i) computational management of how much money is
being spent in real-time; (ii) investigation of the energy efficiency of
individual appliances; (iii) wireless manipulation of electrical appliances and
systems; and (iv) automation of personal and professional consumption
patterns. There are five essential processes of our system: (i) generate user
interface, (ii) transform and analyze user instructions, (iii) write automation
programs, (iv) manipulate electrical appliance/system, and (v) transform and
transmit energy consumption data. A subset of examples from our system’s
many attractive applications include: turning off kitchen lights in real-time
from a mobile phone; heating bedrooms by 2° C every morning at 9:00 am;
ceasing all power transmission to electrical appliances from 9:30 am through
4:30 pm on work days; and turning off all user-defined “discretionary”
appliances if current energy price exceeds maximum acceptable price.

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Requirements

Our system must include a software application that interacts with the
electrical appliances of residential buildings. This software should provide
energy customers with four main functions:
i. Ability to see how much money is being spent in real-time
ii. Ability to assess the energy efficiency of individual appliances
iii. Ability to remotely turn on and off appliances
iv. Ability to customize and automate consumption patterns

The implementation of our Home Energy Management System will provide four
major improvements to the existing energy consumption system:

Old Energy System New Energy System


Customers discover their energy costs Customers can know their costs, by the
once per month by snail-mail. minute, electronically.
Customers are blind to what appliances Customers can access detailed visual
use and waste the most energy. displays of energy use.
Customers must be near an appliance to Customers can control their appliances
turn it on and off. wirelessly from anywhere.
Customers must manually interact with Customers can automate when their
their electrical appliances. appliances are used through programs.

There are four groups of people that must cooperate to make this new system
function effectively:
i. Residential Customers
ii. Electric Power Utility Firms
iii. Retail Manufacturers, Engineers, and Architects
iv. System Integrators
We are the system integrators.

The main inputs are electricity, real-time pricing rate, powering on and off
instructions, and automating preferences. The main outputs are dynamic
powering on and off of products, historical and real-time consumption data,
and a regular purchase invoice.

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Process Model

I. Process Model: Context Level Diagram

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II. Process Model: Level-0 Diagram

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III. Process Model: Level 1 Diagram – Process 1

IV. Process Model: Level 1 Diagram – Process 3

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Data Model

I. Entity Relationship Diagram

UTILITY CONSUMER
Name bills Account_ID
Percent_Reliability Address
Mean_Energy_Price Mean_Consumption_Rate
Mean_C02_Emissions

notifies commands

ROUTER APPLIANCES
Model_ID Serial #
Operating_System Type
Percent_Reliability commands Energy_Efficiency inputs
Processor Location
Memory_RAM Mean_Monthly_Cost
Wireless_Device Power_Status
Manufacturer Manufacturer

instructs

PROGRAM PREFERENCES
parameterize
File_Name Budget_Demands
Subprogram_Functions Command_Timing
RAM_Demands Appliances_Targeted
Memory_Size

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II. Relational Data Models

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Prototypes

I. User Interface: Home

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II. User Interface: Investigate

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III. User Interface: Automate

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Concluding Remarks

Analyzing and designing the Home Energy Management System was insightful
and exciting for all of the Smart Gators. By applying concepts and
techniques taught in class to our system, we were able to better understand
and manipulate ISM 4113 lessons. We especially enhanced our process
modeling skills. Further, we gained a significant understanding of an
emerging industry, known as smart grid technology, and the opportunity to
get a head-start on establishing a career as an industry leader. We will all
also be capable of intelligently pursuing financial investment opportunities
related to these systems. While our system certainly presented many
technical challenges in being accurately conceptualized and modeled, we did
not face any show-stopping obstacles; thus, we are very proud in our belief
that our Home Energy Management System is of the best quality possible,
given our innate constraints of limited time and limited experience. To
conclude, we are satisfied with the nature and outcomes of this project, and
appreciative of the instructor’s guidance in this regard.

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