1. Energy Management Solution
Collect and process data via the cloud to enable savings on energy costs, increase operational efficiency, and implement green strategies
What to look for
Target this solution approach to facilities comprised of multiple buildings, or manufacturers with high energy usage machine, building or machine mounted sensors to monitor energy usage
Architecture
Solution and reference architectures

2. Azure-based energy management
Collect and process data via the cloud to enable savings on energy costs, increase operational efficiency, and implement green strategies
Key Benefits:
Cloud-based analytics deliver near real-time insights.
Remote management enables effective monitoring of geographically dispersed facilities. Thus enabling better planning, and savings on energy expenses.
Data insights helps to determine R&D focus priorities

3. What to look for
Target this solution approach to facilities comprised of multiple buildings, or manufacturers with high energy usage machine, building or machine mounted sensors to monitor energy usage
As data streams are uploaded into the Azure cloud, analytics can be processed in near real time
Data can be stored in unstructured (blob) or structured format
Users log into the solution via a website to view and analyze the data using PowerBI
The solution can also be set up with the capability for users to send commands back to the individual facilities, modifying operations in near real time, to increase energy efficiency and save money

4. Solution Architecture
Business User
Energy Management IoT solution for facility managers with geographically dispersed buildings or energy consuming machinery
Solution goal
Azure IoT enables the means to collect, consolidate and process the data into actionable results to save money and/or operate facilities at higher efficiency
Solution components
This solution is built on the following Azure managed services: Azure IoT, SQL database, Storage HDInsight, Power BI. These services run in a high availability environment, patched and supported, allowing you to focus on your solution versus the environment to run them in

5. Reference Architecture
User
DocumentDB
App Service
Power BI
Azure
Active Directory
Cloud Service
Stream Analytics
Machine Learning*
Event Hubs
Storage table
HDInsight*
SQL
App Service 10 01
Storage blob
SQL Data Warehouse

6. Reference Architecture
Event hub
Component provisioning and configuration for achieving scalability, availability and security
Web App
End user and self-provisioning
Stream Analytics
Real-time analytics from incoming data ingestion
Worker Roles
Enabling data computation for cold path
WebJobs
Recurring logic for scheduling tasks
DocumentDB
Storing user profiles, topologies, metadata
Storage Table
DAL making access to data cold data path robust and flexible
Storage Blob
Storage of unstructured data
SQL Data Warehouse
Scale-out database capable of volumes of data, both relational and non-relational
Azure Active Directory
Identity and access management for the cloud
PowerBI
Data visualization and reporting
HDInsight
Designed to manage, analyze and report big data
Machine Learning
Data analytics within Cortana Intelligence Suite

7. Pricing Calculator
To calculate an estimated price for this reference architecture go to the Microsoft Azure Pricing Calculator