Integration of photovoltaic panels and biomass-fuelled CHP in an Italian renewable energy community

IF 7.1 Q1 ENERGY & FUELS Energy Conversion and Management-X Pub Date : 2024-08-25 DOI:10.1016/j.ecmx.2024.100696
Isabella Pizzuti, Alessandro Corsini, Giovanni Delibra, Erfan Tajalli-Ardekani
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Abstract

This study presents the first attempt to explore the technical and financial feasibility of combining incentives for Italian Renewable Energy Communities (REC) with those for high-efficiency cogeneration. The community has local wooden biomass availability and was assembled around two prosumers: an industrial laundry with biomass-fuelled CHP and a school with photovoltaic panels. Other members include residential users. Electric loads were derived from available quarter-hour meters and electric bills. Thermal demand for the laundry was reconstructed from an energy audit. First, the CHP optimal mode of operation was selected among the two suggested by the manufacturer (matching the electric or the thermal load), providing energy, financial and environmental performance in both scenarios. Then the photovoltaic system of the school was sized. Finally, an optimal number of users was selected using a genetic algorithm, with financial performance of the REC as objective functions. Energy, economic and environmental impact performance of prosumers and REC are discussed, finding that the optimal configuration reduces CO2 emissions by 722 tons/year, with further 1360 tons/year coming from biomass combustion. In an optimal REC configuration members cut 250 €/year of electric bills, with an overall performance of 21 % in valorization of shared energy, while a social-focused REC can increase its NPV from 233 to 769 k€. The scenario can be applied to other prosumers with similar thermal demand and can be replicated or adjusted to local requirements.

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意大利可再生能源社区的光伏板和生物质热电联产一体化
本研究首次尝试探索将意大利可再生能源社区(REC)激励措施与高效热电联产激励措施相结合的技术和财政可行性。该社区拥有当地的木质生物质能源,并围绕两家专业用户组建:一家使用生物质能源热电联产的工业洗衣店和一家使用光伏电池板的学校。其他成员包括住宅用户。电力负荷来自现有的季度电表和电费账单。洗衣房的热需求是通过能源审计重建的。首先,从制造商建议的两种运行模式(与电力负荷或热负荷匹配)中选择热电联产的最佳运行模式,在两种情况下都能提供能源、财务和环境绩效。然后,确定学校光伏系统的规模。最后,使用遗传算法选择最佳用户数量,并将 REC 的财务绩效作为目标函数。通过对用户和可再生能源中心的能源、经济和环境影响性能进行讨论,发现最佳配置每年可减少 722 吨二氧化碳排放,生物质燃烧每年可减少 1360 吨。在最佳的 REC 配置中,成员每年可减少 250 欧元的电费,共享能源的总体增值率为 21%,而以社会为重点的 REC 可将其净现值从 233 欧元提高到 769 千欧元。该方案可应用于其他具有类似热需求的用户,并可根据当地要求进行复制或调整。
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来源期刊
CiteScore
8.80
自引率
3.20%
发文量
180
审稿时长
58 days
期刊介绍: Energy Conversion and Management: X is the open access extension of the reputable journal Energy Conversion and Management, serving as a platform for interdisciplinary research on a wide array of critical energy subjects. The journal is dedicated to publishing original contributions and in-depth technical review articles that present groundbreaking research on topics spanning energy generation, utilization, conversion, storage, transmission, conservation, management, and sustainability. The scope of Energy Conversion and Management: X encompasses various forms of energy, including mechanical, thermal, nuclear, chemical, electromagnetic, magnetic, and electric energy. It addresses all known energy resources, highlighting both conventional sources like fossil fuels and nuclear power, as well as renewable resources such as solar, biomass, hydro, wind, geothermal, and ocean energy.
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