Integrated energy system operational optimization method considering thermal inertia of district heating networks and buildings

    公开(公告)号:US11016455B2

    公开(公告)日:2021-05-25

    申请号:US16477174

    申请日:2018-01-29

    Abstract: Disclosed is an integrated energy system operational optimization method considering thermal inertia of district heating networks and buildings, comprising the following steps. Step 10: respectively establish a district heating network model considering transmission delay and heat loss and a building model considering thermal storage capacity. Step 20: establish an integrated energy system optimization model consisting of a combined cooling, heat and power system model, the district heating network model and the building model. Step 30: solve the integrated energy system optimization model to obtain an optimal scheduling plan, control outputs of a gas turbine and a gas boiler per hour according to the optimal scheduling plan, and purchase electricity from a power grid and a wind power. According to the method, both the district heating network and buildings are included in a scheduling scope, so that the load adjustment with multiple degrees of freedom can be achieved.

    ANALYTICAL METHOD FOR DYNAMIC ANALYSIS OF NATURAL GAS NETWORK

    公开(公告)号:US20250165664A1

    公开(公告)日:2025-05-22

    申请号:US19026349

    申请日:2025-01-16

    Abstract: Disclosed is an analytical method for dynamic analysis of a natural gas network in the field of energy system modeling and operational analysis, which includes establishing adynamic model of natural gas transmission according to the conservation equations, and reconstructing the dynamic model into the equations in a heat conduction equation form. The present disclosure directly constructs an analytical method for dynamic analysis of a natural gas network, avoiding approximation errors, numerical dispersion, and dissipation compared with the traditional numerical methods. The discretization process is avoided during the solution, greatly improving the computational efficiency and solution accuracy of dynamic analysis of the natural gas network.

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