Multi-source energy flow model analysis for urban systems

Abstract Unreasonable energy consumption hinders the sustainable development of cities. This study developed a multi-source energy flow (MEF) model based on the input-output table (IOT) to analyze energy consumption in Fujian Province. Combining IOT and energy consumption can help policy makers know the characteristics of energy consumption between sectors. Results show that the indirect energy consumption (203.43×10 6 tons of standard coal equivalent (SCE)) in Fujian Province is greater than the direct energy consumption (74.40×10 6 tons SCE). The EGW has the highest direct energy consumption (33.15×10 6 tons SCE), while the CON has the highest indirect energy consumption (28.71×10 6 tons SCE). EGW, SPM, CHE and NMP are the main energy outflow sectors, and CON is the main energy inflow sector. The contribution of direct energy flow to the economy was far greater than indirect energy flow; CON, WHO and SER are the main contributors in direct energy flow, and WHO, AGR and SER are the main contributors in indirect energy flow. These results can provide scientific guidance for the sustainable development of Fujian.