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

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

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

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

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

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

Pricing Calculator To calculate an estimated price for this reference architecture go to the Microsoft Azure Pricing Calculator https://azure.microsoft.com/pricing/calculator/