Study and development of a logical model for an ORC based district heating renewable energy system considering discrete analysis

Renewable energy sources may help build energy-efficient, ecologically friendly communities. District heating systems are crucial for distributed renewable energy. The objective of this study is to establish a theoretical framework for a district heating distribution system capable of accommodating bi-directional flow and effectively serving a large number of consumers. Distinction and continuity are present in District Heating System fuel selection and energy demand determination. Scholarly literature suggests many modeling methods for discrete and continuous consumer decision-making. This method has been used to solve transportation, housing, and water problems. The overall demand for consumer choices can be separated into two components: a discrete component with several possibilities and a continuous component. Energy includes social, economic, security, climate, and environmental factors. This study analyzed previous energy logical modeling methods and examines energy consumption trends and climate change. This study supports its claims on modern conflicts using expert interviews, research expertise, and a thorough literature assessment. The model was used to assess control system architectural improvements and low-cost device integration. This study shows the versatility of using real data and model output under varied boundary conditions by using validation. The research suggests that adding waste heat input may make pressure equilibrium in nearby consumer substations harder. Despite assumptions and simplifications, the results show waste heat source features, benefits, and limitations.