A review of uncertain factors and analytic methods in long-term energy system optimization models

A larger number of uncertain factors in energy systems influence their evolution.Owing to the complexity of energy system modeling,incorporating uncertainty analysis to energy system modeling is essential for future energy system planning and resource allocation.This study focusses on long-term energy system optimization model.The important uncertain parameters in the model are analyzed and divided into policy,economic,and technical factors.This study specifically addresses the challenges related to carbon emission reduction and energy transition.It involves collecting and organizing relevant research on uncertainty analysis of long-term energy systems.Various energy system uncertainty modeling methods and their applications from the literature are summarized in this review.Finally,important uncertainty factors and uncertainty modeling methods for long-term energy system modeling are discussed,and future research directions are proposed.

A SYSTEM OPTIMIZATION MODEL OF ADOPTION OF A NEW INFRASTRUCTURE WITH MULTI-RESOURCE AND MULTI-DEMAND SITES

This study develops a conceptual system optimization model of adoption of a new infrastructure technology with multiple resource sites and multiple demand sites. With the model, this paper analyzes how the distance, spillover effect, demand, initial investment cost, and learning rate influence the adoption of the new infrastructure technology and presents optimization results of the model in different scenarios. The main findings of the study are： from the perspective of system optimization, （1） different distances among different resource-demand pairs will result in different adoption time of a new infrastructure; （2） technological spillover among different resource-demand pairs will accelerate the adoption of a new infrastructuxe; （3） it is hard to say that higher demand will pull faster adoption of a new infrastructure, and the optimal time of adopting of a new infrastructure is very sensitive to its technological learning rate.

Analysis of technology pathway of China's liquid fuel production with consideration of energy supply security and carbon price

Efforts to provide alternative resources and technologies for producing liquid fuel have recently been intensified.Different levels of dependence on oil imports and carbon prices have a significant impact on the composition of the cost-minimizing portfolio of technologies.Considering such factors,how should China plan its future liquid fuel industry?The model for supporting the technology portfolio and capacity configuration that minimizes the total system cost until 2045 is described in this study.The results obtained for different carbon prices and levels of dependence on oil import indicate that the oil-to-liquid fuel(OTL)will remain dominant in China's liquid fuel industry over the next three decades.If the carbon price is low,the coal-to-liquid fuel(CTL)process is competitive.For a high carbon price,the biomass-to-liquid fuel(BTL)technology expands more rapidly.The results also reveal that developing the BTL and CTL can effectively reduce the oil-import dependency;moreover,a high carbon price can lead to the CTL being replaced with the low-carbon technology(e.g.,BTL).Improvement in energy raw material conversion and application of CO_(2) removal technologies are also effective methods to control carbon emissions for achieving the carbon emission goals and ultimately emission reduction targets.