Norwegian energy community dataset: An electricity-hydrogen system with renewables, battery storage & hydrogen demand.

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-09-09 eCollection Date: 2025-10-01 DOI:10.1016/j.dib.2025.112042

Pratik Mochi, Magnus Korpås

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引用次数: 0

Abstract

This paper presents the Norwegian Energy Community Dataset, developed to support modelling and optimization of integrated electricity-hydrogen energy systems. The dataset represents a local energy community in Porsgrunn, Norway, consisting of 400 electricity end users, including residential, commercial, and industrial consumers and prosumers. It includes hourly smart meter data for electricity consumption and generation over a nine-month period (January to September 2024). The dataset features distributed energy resources such as rooftop solar PV (installed by 300 users), a 1.3 MW wind power plant and battery energy storage systems for 250 users. Electricity market data, including hourly buy and sell prices for 2024, are also included. On the hydrogen side, the dataset incorporates transport demand from (a) a real hydrogen-powered ferry operating in a northern Norwegian island and (b) 15 synthetic hydrogen buses modelled using Norwegian specifications and realistic operational patterns. Green hydrogen production is modelled using two electrolyzers (1.2 MW and 2.5 MW) along with associated hydrogen storage. The dataset would enable researchers to explore sector coupling, local energy market design, flexibility strategies and cost optimization of community scale integrated energy system.

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挪威能源社区数据集：具有可再生能源、电池存储和氢需求的电力-氢系统。

本文介绍了挪威能源社区数据集，该数据集旨在支持综合电力-氢能源系统的建模和优化。该数据集代表了挪威Porsgrunn当地的一个能源社区，由400个电力终端用户组成，包括住宅、商业、工业消费者和生产消费者。它包括九个月期间（2024年1月至9月）的每小时用电量和发电量的智能电表数据。该数据集的特点是分布式能源，如屋顶太阳能光伏（300个用户安装）、1.3兆瓦的风力发电厂和250个用户的电池储能系统。电力市场数据，包括2024年的每小时买卖价格，也包括在内。在氢气方面，数据集包含了以下运输需求：(a)在挪威北部岛屿运营的真正的氢动力渡轮和(b)使用挪威规范和实际操作模式建模的15辆合成氢巴士。绿色氢气生产模型使用两个电解槽（1.2兆瓦和2.5兆瓦）以及相关的氢气储存。该数据集将使研究人员能够探索社区规模综合能源系统的行业耦合、地方能源市场设计、灵活性策略和成本优化。

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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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.