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光伏发电技术 储能系统 ★ 5.0

识别建筑光伏系统成本效益分析中影响因素的框架

A framework for identifying influential factors in cost-benefit analysis of building-applied photovoltaics systems

作者 Sara A.Sharbaf · Nicola Lolli · Inger Andresen · Patricia Schneider-Marin
期刊 Applied Energy
出版日期 2025年1月
卷/期 第 400 卷
技术分类 光伏发电技术
技术标签 储能系统
相关度评分 ★★★★★ 5.0 / 5.0
关键词 Stakeholders' interests and cost-benefit sharing play a critical role in outcomes.
语言:

中文摘要

摘要 光伏(PV)系统在全球范围内被广泛用于实现建筑能源系统的脱碳。然而,经济和社会方面的挑战阻碍了其更广泛的部署,引发了对该技术可行性的担忧。本研究通过成本效益分析(CBA)、敏感性分析和不确定性分析,探讨影响建筑中光伏系统经济盈利能力的关键因素。为了突出利益相关者的视角,并评估成本与效益分配对成本效益分析结果的影响,本文考察了两种商业模式。研究结果表明,业主独享的商业模式通过使成本与收益相匹配,提高了财务可行性;而业主与租户共享的模式则可能不成比例地加重租户负担。研究以挪威一座典型的办公建筑为案例,通过敏感性与不确定性分析探讨了包括宏观经济、微观经济、时间、物业和技术等多个方面的关键参数。全局敏感性分析在识别关键参数方面比局部分析更具稳健性,其中光伏系统成本、维护成本、光伏组件寿命和可用屋顶面积对经济结果的影响最大。不确定性分析显示,在当前条件下,净现值高于零且效益成本比大于一的概率约为40%。所提出的框架通过引入区域变量(如成本基准、政策、光伏系统特性及利益相关者动态),具有全球适用性,可为决策者提供影响因素的全面概览。此外,该框架强调了利益相关者利益在塑造分析结果中的关键作用,并指出在具有大量不确定但可能显著影响输入的长期项目中,必须纳入不确定性分析以提升盈利能力。

English Abstract

Abstract Photovoltaic (PV) systems are widely used globally to decarbonize building energy systems. However, economic and social challenges hinder broader deployment, raising concerns about the viability of this technology. This study explores the key factors influencing the economic profitability of PV systems in buildings using cost-benefit analysis (CBA), and sensitivity and uncertainty analysis. To emphasize stakeholders' perspectives and assess the impact of cost-benefit distributions on CBA outcomes, two business cases are examined. Findings show that the owner-exclusive business case improves financial feasibility by aligning costs and benefits, while the owner-tenant shared model can disproportionately burden tenants. A typical office building in Norway serves as the case study, with sensitivity and uncertainty analyses exploring critical parameters including macro-economic, micro-economic, temporal, property, and technological aspects. Global sensitivity analysis proves more robust than local analysis in identifying key parameters, with PV system cost, maintenance cost, PV module lifetime, and available roof area contributing most to economic outcomes. Uncertainty analysis shows approximately 40 % likelihood of achieving a net present value above zero and a benefit-to-cost ratio greater than one under current conditions. The proposed framework is globally applicable by introducing regional variables such as cost benchmarks, policies, PV system properties, and stakeholder dynamics. It also provides decision-makers with a comprehensive overview of influential factors. Additionally, it emphasizes the critical role of stakeholders' interests in shaping the outcomes and underscores the necessity of incorporating uncertainty analysis in long-term projects with a high number of uncertain but potentially influential input to improve profitability.
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SunView 深度解读

该研究对阳光电源建筑光伏系统经济性优化具有重要指导意义。研究强调的系统成本、维护成本、组件寿命和可用面积等关键参数,与SG系列逆变器的高效率、低维护设计及iSolarCloud智能运维平台的预测性维护功能高度契合。针对业主-租户成本收益分配问题,可结合PowerTitan储能系统和智慧能源管理方案,通过削峰填谷和需求侧响应优化多方收益分配。研究提出的不确定性分析框架可集成至iSolarCloud平台,为建筑光伏项目提供全生命周期经济性评估工具,提升投资决策科学性,推动BIPV市场拓展。