基于100%可再生能源的2050年全球能源系统设计:GENeSYS-MOD:开源能源建模系统(OSeMOSYS)的应用

Konstantin Löffler, K. Hainsch, Thorsten Burandt, P. oei, C. Kemfert, C. von Hirschhausen
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引用次数: 9

摘要

本文提出了到2050年全球能源系统的发展路径,提出了开源能源系统模型OSeMOSYS在社区中的新应用。它允许相当分解的能源和排放分析:GENeSYS-MOD(全球能源系统模型)使用能源系统的线性方程系统来寻找安全能源供应的最低成本解决方案,给定外部定义的约束,主要是在二氧化碳排放方面。OSeMOSYS的通用代数建模系统(GAMS)版本更新到最新版本,此外,扩展和增强了包括运输的模式分割,改进的交易系统,以及对存储的更改。该模型可以从小型应用(例如公司)扩展到覆盖全球能源系统。本文还包括应用GENeSYS-MOD分析全球层面的脱碳情景,分为10个区域。它的主要重点是传统上隔离的部门之间的相互依赖关系:电力、交通和供暖。模型计算表明,为了实现1.5°-2°C的目标,可再生能源的组合提供了成本最低的解决方案,太阳能光伏是主要来源。2050年的平均发电成本约为每千瓦时4欧分(不包括基础设施和运输成本)。
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Designing a Global Energy System Based on 100% Rwables for 2050: GENeSYS-MOD: An Application of the Open-Source Energy Modelling System (OSeMOSYS)
This paper develops a path for the global energy system up to 2050, presenting a new application of the open source energy systems model OSeMOSYS to the community. It allows quite disaggregate energy and emission analysis: GENeSYS-MOD (Global Energy System Model) uses a system of linear equations of the energy system to search for lowestcost solutions for a secure energy supply, given externally defined constraints, mainly in terms of CO2-emissions. The General Algebraic Modeling System (GAMS) version of OSeMOSYS is updated to the newest version and, in addition, extended and enhanced to include e.g. a modal split for transport, an improved trading system, and changes to storages. The model can be scaled from small-scale applications, e.g. a company, to cover the global energy system. The paper also includes an application of GENeSYS-MOD to analyze decarbonization scenarios at the global level, broken down into 10 regions. Its main focus is on interdependencies between traditionally segregated sectors: electricity, transportation, and heating. Model calculations suggests that in order to achieve the 1.5°-2° C target, a combination of renewable energy sources provides the lowest-cost solution, solar photovoltaic being the dominant source. Average costs of electricity generation in 2050 are about 4 €cents/kWh (excluding infrastructure and transportation costs).
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