Humanity needs energy. The industry, the educational and health institutious, even our own houses, all need energy to generate the goods they provide to us daily. But the raw materials historically used to produce energy is exhausting. Upon the drastical future, new models have been proposed. On one hand, new sources of energy have been found and developed, but none has overcome the use of fossil materials yet. On the other hand, there is ongoing reserch to find more efficient ways ways to use and deliver energy. The energy markets we know are centralized markets: a distributor produces the energy and hands it out using the electrical grid. As a consequence, a big part of the energy is lost due to distribution expenses. An alternative model surges under the name of Smart Grids [1]: distributed markets that allow users to trade (buy or sell) energy between them. The discovery and improvement of secure and fair algorithms that find the optimal allocation of energy for a distributed market given the requirements of each user and the constraints of the grid is a major research problem. In [2], the RadPro algorithm is presented, stating that can be used to solve energy allocation problems up to some restrictions. This project, intends to visualize the evolution of a distributed market where the users make trade offers depending on their necessities. Each user is provided by some amount of electrical components such as generators and appliances that produce or consume energy over time. As a result, the trading offer of a user changes over time, depending on the energy requirements that dictate the state of its components. The project gives the option to build personalizable distributed markets and runs simulations over them. The results can be visualized in a 3D environment where the user is able to analyze and interact with all the information

Peer reviewed