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    复杂热力系统㶲经济学的方法演进、应用与展望

    Advances and Prospects in Exergoeconomic Methods for Complex Thermal Systems

    • 摘要: 针对复杂热力系统㶲经济方法的经济含义、适用边界和验证要求易被混淆的问题,在经典平均成本核算与边际优化理论的基础上,从核算对象、时间尺度、数学形式和验证证据4个维度,比较代数成本核算、可微约束优化及高级㶲分析的主要输出,讨论生命周期环境评价、碳责任核算、动态库存与代理模型的适用条件,并归纳典型复杂热力系统的方法选择原则。结果表明:代数法用于解释既定工况下平均成本的形成与分配,可微约束优化用于评价连续变量扰动的局部边际响应;高级㶲和环境—碳方法分别扩展改造潜力与资源环境责任的评价边界;状态积累影响评价结果时,应描述跨时段㶲与成本关系;涉及碳责任追踪时,还需明确相应库存更新规则;代理模型参与优化时需进行独立误差检验、物理一致性检查及关键方案复核。不同方法所得结果仅在系统边界、时间基准和经济含义一致时具有可比性。结合典型系统的研究,归纳状态积累、产品功能和变量类型变化时的方法选择依据,说明相关结果用于成本诊断、改造排序和运行优化所需的验证条件。

       

      Abstract: Exergoeconomic methods for complex thermal systems are often conflated in terms of their economic interpretation, applicability, and validation requirements. Building on established theories of average-cost accounting and marginal optimization, algebraic cost accounting, differentiable constrained optimization, and advanced exergy analysis are compared across four dimensions: analysis target, time scale, mathematical formulation, and validation evidence. The applicability of life-cycle assessment, carbon-responsibility accounting, dynamic inventory accounting, and surrogate models is examined, and method-selection principles are drawn from representative complex thermal systems. The review shows that algebraic methods explain average-cost formation and allocation under specified operating conditions, whereas differentiable constrained optimization evaluates local marginal responses to perturbations in continuous variables. Advanced exergy analysis assesses retrofit potential, while environmental and carbon accounting extend the assessment to resource use and environmental responsibility. When state accumulation affects the assessment results, intertemporal exergy and cost relationships must be represented. If carbon responsibility is also tracked, the corresponding inventory update rules must be specified. Surrogate-assisted optimization requires independent error assessment, physical-consistency checks, and verification of key candidate solutions. Results obtained using different methods are comparable only when system boundaries, time bases, and economic interpretations are consistent. Studies of representative systems provide a basis for selecting methods when state accumulation, product functions, or decision-variable types change, and for specifying the validation needed to support cost diagnosis, retrofit prioritization, and operational optimization.

       

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