【Applied Energy最新原创论文】建筑冷热电氢综合能源系统优化设计及运行整体框架

学术   2024-07-22 18:30   美国  

原文信息

A holistic framework for the optimal design and operation of electricity, heating, cooling and hydrogen technologies in buildings

原文链接:

https://www.sciencedirect.com/science/article/pii/S0306261924009954

摘要

作者开发了建筑综合能源系统的设计和运行整体框架,用于支撑发电、转换和储能技术的多时间尺度技术投资和运行决策。该框架的新颖性体现在:整合了建筑能源终端负荷、技术性能和成本、以及能源系统设计优化的开源建模工具,形成了普适的整体框架;引入了一种新型优化工具,其基于简洁通用的数学公式对多能流系统进行建模,捕捉不同能源载体和技术之间的相互依赖关系。该模型公式包含了短期和长期储能,有助于以低计算成本识别智能设计和运行策略。作者研究了不同的建筑能源需求和价格场景,并量化了使用整体多能流方法的经济和能源效益。所考虑的技术组合包括:(i)光伏-电热泵-电池系统,(ii)光伏-电热泵-电池-热水罐系统,(iii)光伏-电解槽-储氢-燃料电池系统,以及(iv)具有上述所有技术的系统。以某大学建筑为案例分析的研究表明,冷热电氢源储技术的智能集成使总系统成本比仅输入电网电能和使用燃油锅炉的场景低25%以上。电池减轻了日内电负荷波动,而热水罐-小型热泵可有效管理热负荷需求。为了避免光伏弃电,多余的光伏电能可转化为绿氢形式储存,提供跨越数天、数周甚至季节的长期储能方案。研究结果有助于终端用户、投资决策者和能源政策制定者选择建筑低碳技术和相关政策。

Abstract

In this work, the Design and Operation of Integrated Technologies (DO-IT) framework is developed, a comprehensive tool to support short- and long-term technology investment and operation decisions for integrated energy generation, conversion and storage technologies in buildings. The novelty of this framework lies in two key aspects: firstly, it integrates essential open-source modelling tools covering energy end uses in buildings, technology performance and cost, and energy system design optimisation into a unified and easily-reproducible framework. Secondly, it introduces a novel optimisation tool with a concise and generic mathematical formulation capable of modelling multi-energy vector systems, capturing interdependencies between different energy vectors and technologies. The model formulation, which captures both short- and long-term energy storage, facilitates the identification of smart design and operation strategies with low computational cost. Different building energy demand and price scenarios are investigated and the economic and energy benefits of using a holistic multi-energy-vector approach are quantified. Technology combinations under consideration include: (i) a photovoltaic-electric heat pump-battery system, (ii) a photovoltaic-electric heat pump-battery-hot water cylinder system, (iii) a photovoltaic-electrolyser‑hydrogen storage-fuel cell system, and (iv) a system with all above technology options. Using a university building as a case study, it is shown that the smart integration of electricity, heating, cooling and hydrogen generation and storage technologies results in a total system cost which is >25% lower than the scenario of only importing grid electricity and using a fuel oil boiler. The battery mitigates intra-day fluctuations in electricity demand, and the hot-water cylinder allows for efficiently managing heat demand with a small heat pump. In order to avoid PV curtailment, excess PV-generated electricity can also be stored in the form of green hydrogen, providing a long-term energy storage solution spanning days, weeks, or even seasons. Results are useful for end-users, investment decision makers and energy policy makers when selecting building-integrated low-carbon technologies and relevant policies.

Keywords

Energy storage

Heat pump

Hydrogen

Optimisation

PV

Self-sufficiency

Graphics

Fig. 2. Modelling structure of the DO-IT optimisation framework.

Fig. 3. Interactions of technologies and energy vectors in the DO-IT framework.

Fig. 10. Results of Optimised Case 4 for installed: (a) nominal power capacity of energy generation and conversion technologies, and (b) nominal energy capacity of energy storage technologies.

Fig. 12. Hourly operation of electricity generation (kWe), use and storage technologies for Optimised Case 4 (which involves all technology options) for (a) a typical working day with a small amount of heating demand and high electricity prices in the afternoon, (b) a typical working day with high cooling demand and high electricity prices in the afternoon, and (c) a typical cold weekend day with negligible demand. Positive values indicate electricity generation and negative values indicate electricity use.

Fig. 16. Optimal size of technologies obtained using the DO-IT framework for varying annual heat and electricity demands. The price of importing electricity is here fixed at 0.27 EUR/kWhe: (a) mono-Si PV, (b) lithium-ion battery, (c) ATWHP, (d) hot-water cylinder, (e) electrolyser, and (f) hydrogen store.

Fig. 18. Sensitivity analysis showing the ranges of potential technology capacities across various scenarios of battery and electrolyser prices, electricity prices, and building electricity and heat demands.

关于Applied Energy

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