Abstract: New urban ecological civilization needs to consider real-time environmental constraints, and the impact of carbon emissions from multi-energy parks（MEPs） on the environment of new towns cannot be ignored. This paper constructed an economic dispatching model with environmental constraints for new urban with MEPs. The upper level economic dispatch considered the new real-time urban environment and limit carbon emission constraints, and then decomposed them into real-time carbon emission constraints according to the historical emissions of MEPs. The lower level MEPs considered the optimal objective of economic operation and met the real time carbon emission constraints. When the constraints or excess satisfaction cannot be met, the MEPs will buy or sell carbon indicators by participating in carbon trading. By coordinating and optimizing the upper and lower levels of new towns and multi-energy industrial parks, the model took the comprehensive energy economy operation as the optimization objective, and considered the economic incentive of emission control of MEPs through carbon trading, and then met the overall environmental requirements of new towns. The sequential quadratic programming（SQP） combined with the prime-dual path tracking interior point（DPTIP） method was used to solve the non-linear, multi-dimensional and bi-level joint optimization model. The example results show that the method can improve the economy and environmental protection of multi-energy co-operation in new urban areas.