A simulation tool to assess how flexible demand can make power systems cleaner, cheaper, and more reliable.
The Demand Flexibility Model serves as a simulation tool designed to evaluate the techno-feasibility of integrating demand flexibility within power systems. The model encompasses the simulation of the power system incorporating supply-side resources such as conventional generators, renewable energy (RE) generators, energy markets, and battery storage systems, alongside demand-side elements, which include both fixed and flexible demand.
The model aims to optimize flexible demand by leveraging incentive structures, thereby ensuring the efficient utilization of supply-side resources. It allows utilities to simulate various scenarios involving different levels of renewable energy (RE) integration, incentive frameworks for demand flexibility (DF) programs, battery energy storage systems, demand flexibility and price elasticity within consumer categories. This enables a comprehensive analysis of the cost-benefit of DF programs, category-wise participation, and the overall impact on total demand, offering valuable insights to aid in the design of effective DF programs.
By running the model, you can uncover:
The model estimates potential savings in generation costs by integrating demand flexibility.
Insights into the costs and scale of incentives required for DF/DR consumers.
How demand flexibility requirements change across different seasons.
The impact of DF price signals on household and industrial electricity bills.
Better generator scheduling to balance demand and maximize renewable integration.
Access the full Demand Flexibility model along with detailed documentation directly from [GitHub]. Everything you need to get started, in one place.
Experiment with ready-to-use datasets to quickly test and explore the model’s capabilities.
Follow step-by-step instructions to set up, run, and interpret results with practical examples.
A step-by-step workflow for running the demand flexibility optimization model, from data upload to results visualization.
