Multi-Parameter Indicators and Analytical Calculations for Combined Cooling, Heating, and Power (CCHP) Systems

Combined Cooling, Heating, and Power (CCHP) systems represent an efficient integrated energy utilization approach capable of simultaneously providing electricity, thermal energy, and cooling within a single system. This article analyzes key operational parameters and computational logic during typical winter day operations, with discussion on supplemental firing system impacts.

### Electricity Generation and Natural Gas Consumption System electricity generation is typically determined by gas turbine or internal combustion engine power output, requiring integration with winter load demand curves. Natural gas consumption directly correlates with generation efficiency, derivable through equipment's heat-to-power ratio and fuel lower heating value. For implementation, a Python function could calculate gas consumption using: gas_volume = power_output / (efficiency * heating_value). Example: With 40% generation efficiency, producing 1 kWh electricity requires approximately 0.25 m³ natural gas (assuming 36 MJ/m³ heating value).

### Heat Production and Thermal Recovery Waste heat boilers or heat exchangers recover exhaust heat from power generation, with heat output dependent on flue gas temperature and flow rate. Typical calculations incorporate flue gas specific heat and temperature differentials. A MATLAB algorithm might implement: heat_recovery = flow_rate * specific_heat * (T_inlet - T_outlet). Practical example: With 1000 m³/h flue gas flow cooling from 500°C to 120°C, recoverable thermal power approximates 200 kW.

### Natural Gas Flow and Outlet Temperature Natural gas flow rates are jointly determined by power generation requirements and supplemental firing needs, modeled through mass conservation and energy balance equations. Outlet gas temperature depends on combustion efficiency and heat exchanger performance, typically controlled at 150-200°C to prevent low-temperature corrosion. Code implementation could use iterative solvers for equilibrium equations.

### Supplemental Firing System Role When thermal demand exceeds generated waste heat, supplemental firing systems provide additional heat through extra natural gas combustion. While total gas consumption increases, overall system efficiency may improve through optimized thermal load matching. Calculations must distinguish base generation gas consumption from supplemental consumption, evaluating comprehensive efficiency under different ratios through conditional statements in computational models.

### Practical Analysis Recommendations Winter operation requires focused monitoring of heat-to-power ratio fluctuations, achieving economic optimization through dynamic adjustment of supplemental firing. In典型案例, supplemental firing can increase primary energy utilization rates by 10%-15%, though fuel costs versus benefits require careful balancing through sensitivity analysis algorithms.