Pei Liu

TL;DR: A two-stage stochastic programming model used to solve the optimization problem with genetic algorithm performing the search on the first stage variables and a Monte Carlo method dealing with uncertainty in the second stage is proposed.

TL;DR: In this article, a generic energy systems engineering framework is proposed for the optimal design of DES in China, with the purpose of obtaining optimal combination of technologies and capacity of equipment for a given area with given energy demands.

TL;DR: In this paper, a case study of a village in West China by performing simulation, optimization, and sensitivity analysis is presented, where different combinations of PV panels, wind turbine and biogas generator are modeled and optimized in Hybrid Optimization Model for Electric Renewables.

TL;DR: In this paper, the authors present a model for the investment planning of a poly-generation energy system and a case study addressing a system for production of methanol and electricity in China during the period from 2010 to 2035.

TL;DR: In this paper, the authors provide quantitative information about water withdrawal, consumption, waste water recycling and treatment and pollution from coal mining, preparation, to final conversion for China's power generation and coal-to-chemical industry and analyze scenarios of water use in China's coal industry between 2020 and 2030.