A new approach for modelling techno-economic performance of integrated energy systems on district scale for informed decision-making in a multi-stakeholder context

Kathelijne Bouw , Casper Tigchelaar , André Faaij
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Abstract

To better support informed decision-making around renewable heating strategies on local scale, a new methodology was developed for simulating integrated heating scenarios. This paper proposes, describes and demonstrates the modeling methodology with a focus on a variety of KPIs, allowing a more inclusive evaluation of technical options, systems and scenarios. Key KPIs include system costs, CO2 emissions, mitigation costs and end-user costs and investments. Key function of the model is an in-depth cost analysis by a breakdown of costs among types of measures (home equipment, insulation, local equipment and infrastructure), cost components (investments, O&M, taxes, subsidies) and stakeholders (system, government, owner-occupiers, renters, real estate owners, grid operators and local entrepreneurs). The methodology was applied to a fictive Dutch neighbourhood according to the urban and building typology provided in the paper. The results of six scenarios show large variety in costs among scenarios with significantly higher costs than the reference scenario in all scenarios, with scenario ‘hybrid’ and ‘efficiency’ presenting the best potential of becoming cost-competitive with the reference scenario in 2030. The method is suitable for evaluating a wide diversity of settings and contexts.

一种在地区范围内对综合能源系统的技术经济性能进行建模的新方法,用于在多方利益相关者的背景下进行知情决策
为了更好地支持当地可再生能源供暖战略的知情决策,开发了一种新的方法来模拟综合供暖情景。本文提出、描述并演示了建模方法,重点关注各种KPI,从而对技术选项、系统和场景进行更全面的评估。关键KPI包括系统成本、二氧化碳排放、缓解成本以及最终用户成本和投资。该模型的关键功能是通过对措施类型(家庭设备、绝缘、本地设备和基础设施)、成本构成(投资、运维、税收、补贴)和利益相关者(系统、政府、自住业主、租房者、房地产所有者、电网运营商和本地企业家)的成本进行细分,进行深入的成本分析。根据本文提供的城市和建筑类型,将该方法应用于一个虚构的荷兰社区。六种情景的结果显示,在所有情景中,成本都明显高于参考情景的情景之间的成本差异很大,其中“混合”和“效率”情景最有可能在2030年与参考情景形成成本竞争力。该方法适用于评估各种各样的环境和背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.50
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