Modeling and optimization research on geothermal plus multi-energy district heating system in China

Abstract

Geothermal as its clean and high efficiency nature is the ideal baseload in clean energy district heating system. Pure geothermal district heating system may not give the best output for the whole system therefore multi-energy integrated system is considered as the optimized approach in more and more projects. This study focuses on the technical and financial feasibility modeling of integrated system with geothermal as the baseload. Other clean energy such as natural gas, shallow geothermal, solar, clean electricity is taken into account for this Geothermal plus complementary heating system. Conditions from different regions in China including weather data, tariff, and energy fee as basic assumptions, combined with geothermal well condition and project scale are the main inputs of the model. Heat load duration curve, percentage and consumption of different energy source as well as Capex and Opex of the project are calculated and optimized. Python language is applied in this study to carry out a modeling software with the output of optimized technical scheme and internal rate of return (IRR) in terms of financial assessment which will give a comprehensive advice for project designers and decision makers.