Data-driven estimation of the electrical energy flow dynamics of community-shared solar PVs (CSS-PV) associated with net-zero energy-ready (NZEr) communities

对与净零能源就绪 (NZEr) 社区相关的社区共享太阳能光伏 (CSS-PV) 的电能流动态进行数据驱动估计

• 批准号: 567276-2021
• 负责人: Gul, Mustafa
• 金额: $ 5.3万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=721473
• 关键词: Data; driven; estimation; electrical; energy

The use of renewable energy sources in buildings in order to reduce greenhouse gas emissions has been widely accepted as an effective strategy, but most such applications are at the building level, and the on-site use of renewable energy resources is less than 30%. To overcome these limitations, community-shared solar energy has gained global popularity in recent years due to its flexibility in implementation and its favourable financial structure. In particular, the concept has grown in popularity among professionals and authorities due to its potential sustainability merits. However, currently there are no available methods that can be used for estimating the energy dynamics of communities that use this technology. The project outlined in this proposal aims to develop a state-of-the-art framework for evaluating (both analytically and experimentally) the energy performance of a new or existing residential community equipped with or planning to install a solar energy system of this kind. One of the key innovations of the proposed framework will be a home energy profile simulation model developed based on minute-by-minute energy consumption and generation data. The simulation of the complicated energy flow of solar energy system performance in northerly climates will provide comprehensive understanding of energy dynamics under different climate conditions. The proposed research will also offer practical guidelines for community-shared solar energy system design. In terms of social benefits, the adoption of renewable energy resources in residential communities, which the proposed research facilitates, is expected to reduce the greenhouse gas emissions resulting from the housing sector. Furthermore, this research project will contribute to Canada's economy by introducing a new technology to the Canadian homebuilding market. Given that the community-shared solar energy system is a relatively novel concept in the local market, it is envisioned that this pioneering development will result in several social benefits such as resolving the negative stigma about the feasibility and economics of solar energy.

在建筑物中使用可再生能源以减少温室气体排放已被广泛接受为一种有效的策略，但大多数此类应用都在建筑物层面，现场使用可再生能源的比例不到30%。为了克服这些限制，社区共享太阳能由于其实施的灵活性和有利的财政结构，近年来在全球受到欢迎。特别是，由于其潜在的可持续性优点，这一概念在专业人士和当局中越来越受欢迎。然而，目前还没有可用的方法可以用来估计使用这种技术的社区的能源动态。本提案中概述的项目旨在开发一个最先进的框架，用于评估（分析和实验）配备或计划安装此类太阳能系统的新的或现有住宅社区的能源性能。拟议框架的关键创新之一将是基于逐分钟能源消耗和发电数据开发的家庭能源分布模拟模型。模拟北方气候条件下太阳能系统性能的复杂能量流，将提供对不同气候条件下能量动态的全面了解。拟议的研究还将为社区共享太阳能系统设计提供实用指南。在社会效益方面，拟议的研究促进了住宅社区采用可再生能源，预计将减少住房部门产生的温室气体排放。此外，该研究项目将通过向加拿大住宅建筑市场引入新技术，为加拿大经济做出贡献。鉴于社区共享太阳能系统在当地市场上是一个相对较新的概念，预计这一开创性的发展将带来若干社会效益，例如解决太阳能可行性和经济性方面的负面污名。