EN has a highly analytical and diverse team of GIS professionals and engineers that can provide clients with a deep understanding and insight into their current data. This can have a huge impact and help them utilize the data to make smart business decisions. Our diverse team has many years of experience working closely with clients and offers many different services, including the use of client data to perform custom analysis such as wall-to-wall pavement analysis, population density analysis, and hydraulic modeling support. Other services EN offers include supporting clients with data system strategy, design and optimization, data modeling, utility network and APR preparedness roadmap, and regulatory compliance data strategy.
EN partners with our utility clients by leveraging the expertise of the entire team to define and solve a business problem for our clients using custom spatial analysis. First, we review the business problem with our client and clearly define the problem we are working to solve. Then we identify the information available to solve the business problem and establish an analysis workflow that will deliver high quality information that will be used to solve the business problem. We test and refine the workflow until the quality outcome criteria are met. This service delivers quality information to our utility clients that enable them to make informed decisions to solve real business problems.
Readily available imagery, such as aerial photographs, often contain valuable data that can help our clients make critical decisions to improve the efficiency and safety of their business. Our expert data solutions team uses image recognition algorithms to extract meaningful information from imagery for object identification and classification. Object identification is done by extracting data, such as building polygons or paved and unpaved areas, from aerial imagery. While image/object classification is accomplished by training machine learning algorithms to recognize qualities such as pavement or vegetation from available imagery. These services evaluate the information available, determine if it is useful, and turn aerial imagery into a comprehensive data set that our clients can use to improve efficiency, increase safety, and meet regulatory requirements.
EN supports our clients in understanding and mitigating the risks posed to their system by a variety of threats. We work closely with operators to identify threats, establish mechanisms for quantifying the likelihood of the threat creating an adverse event, and then measuring the potential impact of that threat to the system and surroundings. We support operators throughout all aspects of their risk management program, from identifying and managing data sources to calculating the potential risk and mitigating the potential impact. Additionally, we can implement a data driven spatial risk model supporting the analysis of threat categories covered by 49 CFR 192. Our engineers can also extend the analysis by quantifying categories that are outside of federal code to include those additional threats that are of concern to our clients.
At EN, creating dashboards and reports involves more than just displaying data for our clients. It requires an intimate understanding of how the data relates to the underlying health of the business and preparing it in a manner that readily exposes those insights to the business users. Our team helps our clients identify key performance indicators (KPIs) and, by monitoring both leading and lagging indicators, adjust to changing conditions early and avoid major problems.
The key to building dashboards and reports that deliver value is in understanding what data is most indicative of business health and how to present it in such a manner that it is readily digested. Dashboards and reports are a critical element in the business decision support process. By delivering timely data, presented in an easily understood format, EN helps our customers make the best decisions for their business and communicate with their various stakeholders.
EN Engineering’s expert teams are committed to a lifetime of learning in order to stay up to date on emerging technologies. In today’s environment, machine learning and artificial intelligence (AI) operations continue to proliferate throughout the utility and manufacturing space.
In response to these continued trends, EN’s data solutions team has developed AI-driven solutions to augment our existing products and expand our offerings in this area. Most of our clients maintain vast datasets ripe for the type of advanced analysis AI promises. Our experts continue to develop AI solutions to extract the most value from your data and serve you in the best way possible.
Many areas of the energy sector including electric and gas utilities are projecting a need to meet demand with greater efficiency. The internet of things (IoT) is a disruptive technology trend that will continue to displace the need for in-person observation with faster and more detailed sensor input. This will allow for improvements in monitoring system health, efficiency of maintenance, and more informed decision making.
The challenge of IoT is making the best use of a high-volume data input. If used effectively, the benefits may take many forms including identification of pipeline leaks, monetizing smart meters, wellhead performance, real-time monitoring of assets, and leveraging artificial intelligence for equipment optimization. It is critical to ensure the current information is captured, computed, and delivered to the proper destinations.
Implementation involves cost benefit analysis, finding use cases to reduce operational expense, ensuring that sensors speak the right language, and updating data storage and server-side software applications. EN has a highly experienced, multidisciplinary team that is ready to help you.
Business District Identification
EN has developed a library of analysis modules to help operators analyze their business districts in a data-driven and repeatable manner. EN works closely with operators to tailor the analysis modules to their individual needs and service territories so our clients can apply the results to their leak survey requirements, risk assessment cycles, and system planning. We work closely with stakeholders throughout our client’s business to ensure that any available information data sources, both internally and publicly curated, are leveraged for a thorough and repeatable analysis. We apply our deep regulatory understanding and our technical data systems team to deploy processes to spatially analyze business districts. The analysis process accommodates both federal regulatory requirements (CFR 192.723 and §192.723–Subpart M GPTC) as well as state requirements.
HCA, MCA & Class Location Identification
EN has developed geospatial analysis tools to identify Class Location, High Consequence Areas (HCA), and Moderate Consequence Areas (MCA) using spatial data according to 49 CFR Part 192. EN analyzes and maintains our clients’ HCA, MCA, and class location designations on a periodic basis. Additionally, EN can implement the analysis module within the operator’s GIS system allowing the module to be run on an as-needed basis, while maintaining a historic record of the previous analyses as conditions change.
ILI Data Analysis
At EN, we provide services to help utilities manage their ILI programs. We leverage our extensive ILI subject matter expertise and our spatial data proficiency to integrate historic ILI data into the operator’s GIS. We align ILI data within our client’s GIS and analyze the results using other data sources, such as asset information and adjacent environmental features. We monitor and evaluate trends over time from one ILI run to the next. We assist our clients with overall assessment planning, managing, and tracking the outcome of identified critical anomalies and anomaly mitigation.
Hydraulic System Modeling – Capacity Planning & Forecasting
EN uses GIS and other data sources to evaluate the impact of population changes, economic trends, and cultural evolution on energy systems for our clients. This analysis gives the utility a close look at the effect of changing customer demand on the existing system to identify potential weaknesses and where mitigation may be necessary. Our team of experts provide our clients with operational decision support and assists with contingency planning. As a part of this service, EN builds a system model, statistically analyzes and applies the identified loads to the model, and assesses the implications for impacted areas. We can help our clients develop a 10-year plan that outlines anticipated changes in demand, potential impacts on the system, and future system improvements to respond to the identified impacts.
ADMS Implementation Support
If you are contemplating or in the process of implementing an ADMS solution, EN Engineering offers a wide range of services to support you. ADMS is an excellent solution that offers high value, such as improved reliability, reduced operational cost, lower peak energy consumption, increased customer satisfaction, and enhanced safety.
To reap the benefits from an ADMS solution, you must navigate a complex set of hurdles that require higher data quality, new operational processes, and integration between multiple IT systems. This can be tricky to implement, and hiring an experienced team ensures it is done accurately and efficiently.
We have experienced teams who can help you wherever you are in this process. If you have not yet begun, we can help you with cost justification, requirements definition, RFP development, and solution selection. For those already involved in this process, we can help with data requirements assessment, data enhancement and collection, system integration, testing, work process development, and post implementation success assessment. EN is ready to help you reach a successful implementation.
Spatial EV & Load Forecasting
EN Engineering has the technical expertise to support your efforts preparing for the emergence of electric vehicles as a significant load on electric systems. The transient nature of electric vehicle loads represents both a challenge and an opportunity for electric utilities.
When it comes to spatial EV and load forecasting, our EN team begins by integrating operator system data, customer data, and public data to generate electric vehicle load forecasting models. Unlike other large loads, electric vehicles can plug into the grid and draw loads at difficult-to-predict times and locations.
As a part of this process, our team uses electric vehicle user traffic and habit modeling as part of our load forecasting. We then project and evaluate the impacts to the existing infrastructure and create recommendations for targeted system improvements. Armed with these insights, we can supplement your existing system improvement plans to help you take advantage of the load shifting potentials of electric vehicles.
Distributed Energy Resources (DER) Integration Support
Distributed Energy Resources (DER) is a fast-growing field. Often described as any method a customer uses to produce or save energy, DER can take many forms. Some examples include new technologies such as solar panels, community solar, demand response, energy efficiency and energy storage.
Preparing for the influx of new DER technology can be challenging. EN Engineering has a highly specialized team of professionals who are able to help you map DER networks and visualize the impact on surrounding stations, helping to keep power line workers safe. We will also compile the latest DER data and regulations, and design individual models that can be used in a repeatable process.
Other benefits of DER integration support include providing updates as new DER regulations are imposed, identifying infrastructure that needs updating, and programming maps to be interactive, letting you edit them to see exactly what you need.
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