In contrast to typical forms of renewable energy like wind power and solar energy, baseload power is available everywhere throughout the whole year. However, its contribution to green energy generation is lower than its potential level. The primary factors restricting the spread of geothermal systems are subsurface water contamination, seismic events caused by hydraulic fracturing, and uncertainty in geothermal field characterization. Therefore, this study is dedicated to the planning of a new geothermal system that is capable of avoiding these potential hazards. The proposed closed multilateral system consists of several injection and horizontal wellbores and only one production wellbore. The special design of this system provides an extensive heat exchange surface for energy absorption from the surrounding environment. The results of the present study demonstrated that the circulation of a working fluid in this multilateral system results in the generation of megawatts of thermal power, which is comparable to those of open geothermal systems. The ratio of generated thermal power to the total length of the system is also higher than those of simple closed deep geothermal systems, indicating a shorter payback period. Nevertheless, operating with multilateral systems doesn't always result in higher performance than simple systems. It shows the necessity of filtering high-performance scenarios for operation in various geological conditions. The findings of this study indicate that the scenarios with the highest ratio of generated power to the total length are characterized by a particular relation between local vertical and horizontal flow rates. It is also found that the long-term performance of multilateral systems can be predicted based on their short-term performance. As an example, it is feasible to anticipate the extraction temperature and average generated power of the system after 100 years as functions of its extraction temperature after the first year of operation independent of the number of wellbores and flow rate. It gives insight for decreasing the risk of designing / operating with low-performance systems.