Lumidyne Consulting LLC

www.lumidyneconsulting.com

We are dedicated to helping you navigate the route to a clean and efficient energy future. The energy landscape is changing rapidly and riddled with uncertainty. We help you reduce that uncertainty. As experts in the distributed energy resource and energy efficiency space, we are passionate about applying advanced modeling techniques to help answer your most pressing questions. SIMULATING DISTRIBUTED ENERGY RESOURCE ADOPTION The Distributed Energy Resource (DER) market is evolving quickly, and the pace of change is accelerating. We help you understand where it's headed – over time and spatially. We can accurately assess the economics of and forecast market adoption of distributed energy resources, including rooftop solar photovoltaics (PV), battery storage, and energy efficiency resources. We offer industry-leading approaches and unparalleled accuracy in our forecasts, taking the guesswork out of understanding the future of these markets. DECISION SUPPORT TOOLS – TAILOR-MADE FOR YOU Most business decision tools are woefully inadequate for the challenges you face. With the Analytica® software platform, we can take you light-years beyond what you could ever accomplish with spreadsheets or other solutions – improving capability, flexibility, and transparency. We can provide you with customized decision support and modeling tools that will give you more capability than you ever thought possible, improving your ability to make smart decisions and investments. SYSTEM DYNAMICS MODELING We live in a complex world – one that is ill-suited to simplistic solutions. We have 15 years of experience applying the System Dynamics methodology – an approach conceived and cultivated in the halls of MIT – to simulate the behavior of complex systems. Incorporation of relevant feedback loops, stocks and flows in our models is enhanced by our ability to integrate these models with linear or nonlinear optimization and Monte Carlo analysis – making our approach second to none.

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We are dedicated to helping you navigate the route to a clean and efficient energy future. The energy landscape is changing rapidly and riddled with uncertainty. We help you reduce that uncertainty. As experts in the distributed energy resource and energy efficiency space, we are passionate about applying advanced modeling techniques to help answer your most pressing questions. SIMULATING DISTRIBUTED ENERGY RESOURCE ADOPTION The Distributed Energy Resource (DER) market is evolving quickly, and the pace of change is accelerating. We help you understand where it's headed – over time and spatially. We can accurately assess the economics of and forecast market adoption of distributed energy resources, including rooftop solar photovoltaics (PV), battery storage, and energy efficiency resources. We offer industry-leading approaches and unparalleled accuracy in our forecasts, taking the guesswork out of understanding the future of these markets. DECISION SUPPORT TOOLS – TAILOR-MADE FOR YOU Most business decision tools are woefully inadequate for the challenges you face. With the Analytica® software platform, we can take you light-years beyond what you could ever accomplish with spreadsheets or other solutions – improving capability, flexibility, and transparency. We can provide you with customized decision support and modeling tools that will give you more capability than you ever thought possible, improving your ability to make smart decisions and investments. SYSTEM DYNAMICS MODELING We live in a complex world – one that is ill-suited to simplistic solutions. We have 15 years of experience applying the System Dynamics methodology – an approach conceived and cultivated in the halls of MIT – to simulate the behavior of complex systems. Incorporation of relevant feedback loops, stocks and flows in our models is enhanced by our ability to integrate these models with linear or nonlinear optimization and Monte Carlo analysis – making our approach second to none.

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State

Colorado

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City (Headquarters)

Arvada

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Employees

1-10

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Founded

2017

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