The energy transition is no longer just about generation. Providers, municipalities, and others are under pressure to plan, test, and scale complex energy systems that balance electrification, grid resilience, renewable integration, and equity. Our energy planning software and advanced energy modeling tools bring clarity to this complexity by enabling decision-makers to visualize future scenarios with confidence.
RWI’s technology empowers stakeholders to explore what-if scenarios for grid resilience, renewables and DER integration, policy changes, new investments, decarbonization, and more in sophisticated forecasts using best-in-class simulation modeling for energy. For every dollar invested in scenario modelling with our energy modeling software, clients report up to triple that amount in savings due to reduced project risk and budget excess.
The addition of our Synthetic Populations means that people and their relationship with energy are always included in the final calculations with robust energy planning software that integrates social, technical, and economic variables. Energy modeling through real-world data and simulated futures helps providers make efficient, resilient, and future-proof decisions today.
Forecasting tomorrow’s energy needs ensures that providers make efficient, resilient, and future-proof decisions today with high-fidelity simulation modeling for energy through our platform.
For more information on the work we’re doing in this sector, and others:
Active Intelligence
Hydrogen Workforce
Emerging economies surrounding the energy transition are rapidly developing worldwide. A hydrogen economy is being established in the province of Alberta, with multiple related projects and municipalities transitioning to 100% hydrogen fuel cell transit fleets. However, establishing such an economy requires a risk-aware and resilient approach, including planning for necessary training and standardized certifications for drivers, construction workers, and emergency workers. We helped prepare the hydrogen workforce in Alberta by generating a vision for a hydrogen-powered Alberta of 2030 and formulating a comprehensive, layered overview of potential risks using energy planning software and advanced energy modeling techniques to inform the development of standardized provincial training modules.
ENMAX DER Futures
Consumer “behind-the-meter” activities, in addition to acute and chronic climate events, are adding novel demand considerations for grid load. These shifts are challenging traditional forecasting, and at the same time companies like ENMAX Power are considering enhancements to ongoing business processes. We created a 6D Synthetic Twin of Calgary for ENMAX, quantifying and forecasting the electrification demands of the city in 2050 using simulation modeling for energy and energy modeling software that reflects configurable and inflectable patterns such as technology adoption, climate scenarios, and consumer behaviours.
RWI is testing a web-based, 6D visual shared interface that lets users directly manipulate key variables and scenarios to forecast energy security and resilience events through the lenses of climate and human impact, grid efficiency, infrastructure investments, decentralized energy resources, policy adoption, vulnerable populations, emergency response, and other hyper-localized community attributes — all supported by cutting-edge energy planning software and energy modeling capabilities.
Whether it’s seasonal sea ice causing transportation issues or the exorbitant cost of energy and housing, navigating the opportunities, challenges, and problems facing Alaska requires both insights hyper-localized to the region and tailored solutions built on simulation modeling for energy fundamentals. Investments and transitions are accelerating in the Arctic and sub-Arctic, and decision-makers need data created with a deep understanding of the various contexts, the needs of different populations, and the necessity for accelerated solutions. In response, RWI created Synthetic North: a 1.35 million m² high-fidelity Synthetic Twin environment featuring 15 million data points, designed to provide strategic decision support by integrating powerful energy modeling software.
Businesses can more effectively connect with trading partners and supply chains by leveraging well-developed and diversified transportation infrastructure. Creating and maintaining the various aspects of infrastructure and logistics in a region, however, is an expensive and laborious prospect. By surveying established infrastructure, including associated costs, cargo, and revenue streams, Synthetic Twins can not only identify common barriers to growth but also sandbox future GDP and carbon footprint to present high-fidelity estimates of ROI and ROIC for infrastructure upgrades, workforce investment, land development, and enhanced logistical reliability — all underpinned by robust energy planning software and energy modeling frameworks.
Figuring out water efficiency is a critical part of successful cities, for populations, industries, and to mitigate the impact of climate change and drought. Utility organizations are under increased pressure in many areas to reassess all aspects of water transportation and consumption, particularly in drought-affected regions like Southern California. We modeled residential water use in Southern California, reimagining how we measure water usage behaviours and integrating data on age, demographics, population, and time of day using energy modeling software and contextual energy modeling insights.
Unprecedented climate events are becoming more frequent. Municipal decision-makers, utility organizations, and communities need to understand how to activate resilience for infrastructure, vulnerable populations, and mitigation technologies. But without historical precedents, models require informed and data-backed insights to de-risk these risks before they occur. A resilience and community preparedness pilot project with the Tennessee Valley Authority simulated an unprecedented cold snap and subsequent power failure in Nashville. We demonstrated how both the grid and populations would be affected by the outage and the weather event — leveraging simulation modeling for energy and advanced energy planning software to illustrate impacts including vulnerable demographics in lower-income neighbourhoods.
Space-weather-related failures related to increased solar activity can negatively impact the electrical grid with little notice. Assessing and mitigating the vulnerability of people and at-risk infrastructure requires transdisciplinary collaboration and novel ways of converging and visualizing various data sets related to large, continental swaths of grid infrastructure. RWI launched its HoloDeck in 2022 during a weather-to-power grid simulation organized by Orion Space Solutions, the National Science Foundation, and the Convergence Hub for the Exploration of Space Science (CHESS), simulating the impact of space weather on a synthetic grid of the entire northeastern corridor of the United States using leading-edge energy planning software.
Cascading disasters are challenging to plan for, as there is little support from historical or traditional data sources for the unprecedented climate or health scenarios facing many communities. There are a variety of interlocking factors to consider, including multi-hazard risks, the timing and sequence of disasters, as well as the domino effect of infrastructure and human vulnerabilities in cascading failures. RWI created a Synthetic Twin as selected by EPRI’s Incubatenergy® Labs Challenge to enhance insights and sandbox resilience needs during unprecedented, dual-disaster conditions: a combined power outage alongside an outbreak of COVID-19. These use cases leverage sophisticated simulation modeling for energy and comprehensive energy modeling software to evaluate outcomes.
The Department of Defense (DOD) is facing unique challenges and opportunities surrounding its energy transition, including critical mission readiness, sustainability, and resilience. Solving these unique issues requires a collaborative, hyper-localized approach through interconnected models built on industry-leading energy planning software and energy modeling systems. RWI and the Electric Power Research Institute partnered as part of the AFWERX Showcase to create a virtual twin sandbox modeled for USAF Bases to support decision-making with quantified impacts and outcomes.