Affiliation of Author(s):

环境与市政工程学院

Journal:

Energy Conversion and Management

Key Words:

Design optimization; Multi-energy complementary system; Carbon emission; Rural building

Abstract:

Energy inefficiency and elevated carbon emissions are prevalent in rural areas, presenting significant challenges to achieving sustainable development. Optimizing rural energy systems is urgently required to mitigate these challenges. Multi-energy complementary system based on renewable energy sources offer significant advantages, effectively improving energy structure optimization and mitigating environmental pollution. This study focuses on rural building in Shangluo City, Shaanxi Province, China, and proposes a power generation system that integrates solar and biomass energy, supplemented by the municipal grid. The design leverages local renewable energy resources and energy consumption patterns, addressing renewable energy uncertainties and environmental impacts. EnergyPlus is employed to predict building energy consumption and analyze energy consumption characteristics. The Copula function is applied to optimize the resource matching between solar and biomass energy, ensuring energy supply stability and system reliability. A carbon emission accounting model, with minimum carbon emissions as the objective function, is developed to further optimize energy utilization efficiency. Results indicate that the total annual cumulative cooling and heating load of the building is 80.5 kWh/m2, with local annual solar radiation of 4776.72 MJ/m2 and per capita biomass resource availability of 648.92 kg, sufficient to meet the building’s energy demand. The Frank-Copula function demonstrates the highest accuracy in matching solar and biomass energy. The implementation of the proposed system achieves a 66.27% reduction in annual carbon emissions, demonstrating its effectiveness in carbon mitigation. Furthermore, the study shows the potential of the system to enhance energy sustainability, reduce environmental impacts, and adapt flexibly to various application scenarios.

Note:

祝颖

Co-author:

贺月莛,周秦

First Author:

ZHU Ying

Indexed by:

Journal paper

Document Type:

J

Volume:

327

Page Number:

119595

Translation or Not:

no

Date of Publication:

2025-01-01

Included Journals:

SCI