The development of energy technologies with high efficiency, reliability and free from environmental contaminants is of great importance for sustainable development. The main goal of this research was the multi-objective techno-economic-environmental optimization of hybrid renewable energy systems providing electrical and thermal loads for a large energy-consuming complex. The objective functions are the loss of power supply probability (technical index), net present cost (economic index) and life cycle emissions (environmental index), and hybrid energy system (HES) includes photovoltaic, wind turbine, grid electricity, fuel cell, electrolyzer, hydrogen tank, battery and inverter whose capacities are the design variables. To carry out the research, different configurations of the HES were modelled and simulated in HOMER software, and then by developing a program in MATLAB software, non-dominated designs were found among the simulated configurations. The final system was then found among the set of multi-objective optimal designs with the help of the TOPSIS multi-criteria decision-making method combined with the entropy weight method. A total of 700 optimal multi-objective systems including 592 on-grid and 108 off-grid systems were found with 45 different configurations. The set of Pareto designs included a wide range of techno-economic and environmental indicators, so the range (average) of the net present cost, loss of power supply probability and life-cycle emissions were 17.2-43.8 (27.5) M$, 0-10 (4.4)% and 196.6-358.6 (272.2) kton, respectively. It was observed that the selected HES with a technical efficiency equal to that of the conventional energy system had 13.8% less life-cycle emissions for an increase in net present cost of 22.3%.