低碳园区能源系统供需特性及配置策略实例分析
Case study on supply-demand characteristics and configuration strategies in low-carbon park energy systems
摘要:
低碳园区是我国城乡建设领域实现碳达峰目标的重要内容,需构建高效、稳定、可持续的能源系统,以统筹供给侧和需求侧的协同匹配。本文提出了需求侧降碳优先、供给侧降碳优先及供需平衡优化的差异化配置策略,并依托典型案例的建模仿真开展了量化分析。研究表明:需求侧降碳优先策略适用于高建筑节能率的新建园区,重点规划超低、近零能耗建筑,通过削减主体用能需求降低供给侧能效压力,生命周期内长期收益率较好;供给侧降碳优先策略适用于建筑节能改造难度大、短期投资收益要求高的园区,通过规模化布局太阳能、地热能等可再生能源系统,同时提升园区绿电自给率,增强长期经济收益;供需平衡优化策略适用于建筑类型多样、节能水平不均衡的园区,结合分级建筑节能设计及多元能源优化组合,在投资、运营与推广可行性之间取得最优平衡。最后,研究总结了不同能源配置方案的技术适用性、经济效益及推广价值,并提出了长期发展建议,为我国低碳园区的规划建设提供可操作、可推广的决策依据。
Abstract:
Low-carbon parks are essential for achieving the goal of carbon peaking in the field of urban and rural development in China. Establishing an efficient, stable, and sustainable energy system requires a coordinated supply-demand balance. This study proposes three optimization strategies: demand-side carbon reduction priority, supply-side carbon reduction priority, and supply-demand balance optimization. Quantitative analysis is conducted through modeling and simulation based on typical cases. The results show that the demand-side carbon reduction priority strategy suits newly built parks with high building energy efficiency standards, focusing on ultra-low and nearly zero energy buildings planning, reducing demand and alleviating supply pressure for long-term benefits within the life cycle. The supply-side carbon reduction priority strategy is ideal for parks where retrofitting is challenging and short-term returns are critical, leveraging solar and geothermal energy on a large scale and enhancing green power self-sufficiency for long-term benefits. The supply-demand balance optimization strategy fits parks with diverse building types and energy efficiency levels, integrating hierarchical energy-saving measures and multi-energy optimization to balance investment, operation, and scalability. Finally, this study summarizes the technical applicability, economic performance, and promotion value of different energy configuration schemes, and proposes long-term development recommendations, providing actionable and scalable decision-making references for the planning and construction of low-carbon parks in China.
Keywords:low-carbon park; energy system; configuration; simulation; optimization


