Fuzzy decision protocol in collaborative network of enterprises

In today's world, energy management and efficiency are significant for sustainability. Hybrid Energy Systems, which effectively integrate and utilize various energy sources, have gained considerable attention. This study addresses the optimization of energy distribution models in hybrid energy systems using fuzzy logic and distributed decision-making. The primary objective of the study is to minimize the transportation costs of Hybrid Energy Systems and enhance energy efficiency. To achieve this goal, fuzzy logic and distributed decision-making models are integrated. Fuzzy logic enhances flexibility in transitioning between different energy sources and making decisions while effectively dealing with uncertainties. The distributed decision- making model aids in the optimal decision-making process for various aspects of energy distribution. The methodology of the study involves the amalgamation of these two fundamental components to create the FDDM (Fuzzy Distributed Decision- Making) model. The FDDM model plays a crucial role in simplifying the complexities of energy distribution processes. Integrated with the DCSP (Demand Capacity Sharing Protocol) model, which is one of the protocols used for demand-capacity sharing in the energy system, the FDDM model demonstrates significant potential for enhancing the efficiency of hybrid energy systems. The study underscores that the FDDM model is an effective tool for optimizing the transportation costs of hybrid energy systems and improving energy efficiency. This integrated model represents a substantial step toward sustainable energy management and is particularly notable for its adaptability to the complexities and diversities of different energy sources. It is anticipated that this model can make a substantial contribution to achieving sustainability goals in the energy sector and to developing more efficient and environmentally friendly energy systems in the future.