The Macroeconomic Impact of a Distributed and Renewable Energy Strategy and the Analytics That Drive It
GridCure uses data to optimize energy strategy and improve smart grid operations www.gridcure.com
GridCure translates complex datasets into simple solutions Securely aggregates Performs multilayer Recommends Produces simple and and cleanses data big data analysis actionable insights intuitive dashboards www.gridcure.com
JORDAN: A PRIMER Limited Resources: Limited access to both water and oil, especially compared to its neighbors Large Refugee Population: 1/3 of the countries current population Geopolitically Sensitive: Civil unrest (Arab Spring) and regional warfare www.gridcure.com
In 2011, Jordan relied on foreign energy imports for 97% Of all fuel and power consumption www.gridcure.com
Solar Located conveniently in the sun belt, Jordan receives between 5-7 kW/m^2. Major projects currently include: • Shams Ma’an (160MW) • Rooftop solar heating (30% of all households by 2020) • Aqaba Proposal for Concentrated Solar (50MW) With a goal of hitting 12-15% of the countries energy needs supplied by solar within the next few years. www.gridcure.com
Wind Jordan also benefits from ideal location for wind power generation, especially in the southern part of the country. The Tafila Wind Farm set many precedents: • One of the largest wind projects in the region (117MW) • Was the first PPA with NEPCO, the Jordanian Transmission Operator • Set documentation and legal precedent for all major feed-in projects since www.gridcure.com
EVs and Storage To offset instantaneous demand and fuel oil purchase, Jordan has run major initiatives for EV adoption and grid-scale storage • To solve the chicken-and-egg issue with charging stations vs. vehicles, the entire Jordanian governmental vehicle fleet has been transferred to EVs • Vehicle import tariffs removed on EVs • 40MW battery storage project with AES www.gridcure.com
GRIDCURE SOLUTION Module examples GridCure layers stackable modules on top of its Grid Health Monitoring Platform; each module answers a specific question or group of related questions Feeder Cable Transformer Vegetation Health Health Management Gridcure Health Monitoring Platform GridCure’s Platform seamlessly integrates data from disparate data Network Blink C&I Customer Loss Analysis Analysis sources to allow for secure, privacy-compliant transfer and analysis Full data encryption and NERC-CIP compliance • Intuitive interface with customizable access privileges, custom • filters, and anonymization features Electric Vehicle Balance Storage Bulk data ingestion, data cleansing, and data processing • Distribution Loading Capacity www.gridcure.com
KEY BENEFITS UTILITY & POWER CLIENT BENEFITS SOCIAL BENEFITS The specific benefits each customer receives will be contingent The specific benefits each customer receives will be contingent upon the module(s) selected. The most common benefits include: upon the module(s) selected. The most common benefits include: Save money & increase revenue Meet increasing energy demand Save time & engineering resources Utilize renewable resources Improve internal operations Increase reliability, safety, and transparency Improve reliability & customer satisfaction Reduce carbon footprint www.gridcure.com
THANK YOU hello@gridcure.com
SIMPLE ROI EVALUATION Step 1: GridCure signs up new clients to access to its platform and Step 3: GridCure will cleanse and prepare the data for analysis. select the module they would like to test. GridCure may also integrate additional 3rd party data sources, like weather information, for better analysis. Step 4: GridCure will tune its algorithms to the partner data. Using the partner’s existing historical data, GridCure can make predictions against a test set and then compare them to actual results. Step 5: GridCure will provide the client access to front-end Step 2: Clients will upload the relevant data or integrate existing data dashboards to help stakeholders visualize the data and insights in a streams through the platform interface. real-time context. Data Client Data GridCure Data Upload Tool Module Dashboards GridCure Proprietary Technology www.gridcure.com
TEAM GridCure Team Key Partners & Investors Dr. Kim Montgomery Tagg Jefferson Zack Milosevich Emily Basileo Rich Landy Jonathan Hersch Marcus Melo Brian McKean www.gridcure.com
CASE STUDY Predictive Maintenance Network Health Monitor Single Asset Investigation The Challenge A US IOU was in the process of replacing 100 miles of feeder cables over 5 years and needed to prioritize the order in which they should be replaced. The Solution GridCure Predictive Maintenance can predict maintenance schedules, forecast equipment expenditures, and increase grid reliability. Detailed Asset Analysis Asset Comparison The Results Of the 5 feeder cables that were predicted to be most likely to fail, all 5 actually experienced a failure. Furthermore, our algorithms yielded a 10X improvement on standard heuristic models for predicting feeder cable failure over a pre-specified period of time. www.gridcure.com
LOSS DETECTION Non-technical Loss Grid Loss Overview Meter-Specific Risk Scoring The Challenge A US utility was interested in identifying and accounting for potential revenue loss. The Solution GridCure Loss Detection can identify non-technical loss on the network. Our Partner leveraged our loss detection solution to identify and understand loss on their network. Meter-Specific Meter Summary Detailed Overview List View The Results Working in tandem with existing detection methods to properly size the problem, GridCure Non-Technical Loss Detection accurately predicted 82% of tamper events were actually thefts. www.gridcure.com
Case Study Blink Analysis Blink Monitor Overview Meter Details The Challenge A US utility partner needed a way for engineering teams to understand blinks on their network. The Solution GridCure Blink Analysis displays relevant information about meter blinks and connects blinks to outage events. Blink Heat Map Cause Details The Results The client was able to diagnose network issues faster, allowing for service prioritization and faster time to resolution. In addition, customer service representatives were able to easily communicate outage information to customers. www.gridcure.com
CASE STUDY Load Prediction Raw vs. Cleaned Interval Load Data Usage Data The Challenge A IOU client needed a way to accurately predict load usage across their network in order to purchase the right amount of energy for a given time interval. The Solution GridCure Load Prediction can predict load usage across a utility’s network. Load Prediction with Load Prediction Data Override The Results GridCure was able to reduce the client’s overestimation of power purchasing by 50%, resulting in a 3.37% overall reduction of power purchased on their network. www.gridcure.com
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