Multi-objective optimisation model of a low-cost path to peaking carbon dioxide emissions and carbon neutrality in China
Authors:
- 27 December 2023
- journal article
- research article
- Published by Elsevier in Science of The Total Environment
- Vol. 912, 169386
Abstract
No abstract availableKeywords
This publication has 44 references indexed in Scilit:
- A multi-objective energy optimization in smart grid with high penetration of renewable energy sourcesApplied Energy, 2021
- Distributed biomass supply chain cost optimization to evaluate multiple feedstocks for a biorefineryApplied Energy, 2019
- Exploring potential pathways towards urban greenhouse gas peaks: A case study of Guangzhou, ChinaApplied Energy, 2019
- Environmental co-benefits of energy efficiency improvement in coal-fired power sector: A case study of Henan Province, ChinaApplied Energy, 2016
- Quantifying the co-benefits of decarbonisation in China’s steel sector: An integrated assessment approachApplied Energy, 2016
- Carbon and air pollutants constrained energy planning for clean power generation with a robust optimization model—A case study of Jining City, ChinaApplied Energy, 2014
- Implications of high renewable electricity penetration in the U.S. for water use, greenhouse gas emissions, land-use, and materials supplyApplied Energy, 2014
- Water modeling in an energy optimization framework – The water-scarce middle east contextApplied Energy, 2013
- Multi-objective optimization of coal-fired electricity production with CO2 captureApplied Energy, 2012
- An MILP model for multi-period optimization of fuel gas system scheduling in refinery and its marginal value analysisChemical Engineering Research and Design, 2008