Design Strategies for Village-Scale Multi-Energy Complementary System in Residential Buildings Under Uncertainty: A Case Study of Hanzhong City, China

Abstract

To achieve China’s climate goals and ensure that rural residential buildings are energy-efficient, clean, and cost-effective, increasing the adoption of renewable energy is crucial. This study introduces a Rough Copula Chance-constrained Programming (RCCP) model designed to optimize Multi-Energy Complementary System (MECS) for rural residential buildings. The RCCP model effectively addresses the uncertainties inherent in MECS, such as rough intervals and joint probabilities, while adhering to various constraints. The practical application of this model involved developing a MECS for rural residential buildings in Hanzhong City, Shaanxi Province, and evaluating 72 different scenarios that vary by rough intervals, probability considerations, and carbon reduction goals. The model facilitated the efficient coordination of power from solar photovoltaic panels, biomass boilers, agricultural grids, and energy storage batteries to support rural residential operations under various conditions. This study provides valuable insights into multi-energy planning, emphasizing the balance between system stability and cost-effectiveness. It also emphasizes the importance of strategic renewable resource allocation to meet carbon reduction targets in rural construction and promote environmental sustainability.

Keywords: Multi-energy complementary system, Rural residential building, Village-scale, Carbon emission reduction, Uncertainty