Computational evaluation of a market-oriented programming method for distributed energy management systems

Control of CO₂ emissions which are the main factor of global warming is one of the most important problems in the 21st century about preservation of earth environment. Therefore, efficient supply and use of energy are indispensable. We have proposed a distributed energy management systems (DEMS), which consists of plural self-interested entities and in which they are to obtain optimal energy consumption plans that minimize cost under CO₂ emissions constraints through electricity and heat trading. We have proposed an energy trading decision method by using the Market-Oriented Programming (MOP). This article evaluates the proposed method by computational experiments.