Model and simulate a novel thermo-chemical district networks based on lab data

The aim of using district heating and cooling network is the reduction of pollutant and thermal emissions in the city area, thus, increasing the safety, due to the absence of combustion systems at the demand side, Further, reduction of primary energy consumption, Also the possibility of integrating different heat sources by using a developed district network that has the potential to use the excess heat and renewables. Some aqueous solutions such as MgCl_2-H_2 O and LiCl-H_2 O have thermo-chemical properties that can store the latent heat by absorption process. Thus, they can be used in the district network as thermo-chemical(TC) carrier. The innovative thermo-chemical (TC) network technology will contribute to the next-generation district energy networks, because of this thermo-chemical properties the TC fluid can store the heat as latent heat, the technology will exploit this high thermo-chemical potential of absorption processes for loss-free transport and storage of energy potential. It will be applied to form an intelligent district network with thermal, electric and other networks. Thus, by increasing: Energy efficiency of heat transport and storage. Usage of excess heat and renewables at low temperature. The usage of district networks by utilization heating, cooling and industrial drying in one multi functional network. The research will serve to gain the required knowledge about the processes, the components and the network applications. It will also serve to demonstrate the feasibility to allow the industry to pick up such technology and bring it to the market. To get an initial expectation of this technology regarding the environmental and economic performance, a large simulation model of TC district network will be developed to cover the whole network. This simulation approach requires multi-domain modeling based on the applications in supply/demand sides (heating, cooling, drying). The network pipes model will be used to connect the models together to create the district network model. The main objectives of this research are establishing a simplified but accurate simulation model for TC networks based on lab data, then validating and verifying the whole system to have an accurate and credible model based on various case studies, finally implementing a control strategy interface that can handle with the complexity of the whole district network model