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RENEWABLE ENERGY PLANNING: MULTIPARAMETRIC COST OPTIMIZATION

机译:可再生能源规划:多参数成本优化

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This paper describes a method for determining the combination of renewable energy technologies that minimize life-cycle cost at a facility, often with a specified goal regarding percent of energy use from renewable sources. Technologies include: photovoltaics (PV); wind; solar thermal heat and electric; solar ventilation air preheating; solar water heating; biomass heat and electric (combustion, gasification, pyrolysis, anaerobic digestion); and daylighting. The method rests upon the National Renewable Energy Laboratory's (NREL's) capabilities in characterization of technology cost and performance, geographic information systems (GIS) resource assessment, and life-cycle cost analysis. The paper discusses how to account for the way candidate technologies interact with each other, and the solver routine used to determine the combination that minimizes life-cycle cost. Results include optimal sizes of each technology, initial cost, operating cost, and life-cycle cost, including incentives from utilities or governments. Results inform early planning to identify and prioritize projects at a site for subsequent engineering and economic feasibility study.
机译:本文介绍了一种确定可再生能源技术组合的方法,该方法可最大程度地降低设施的生命周期成本,通常具有关于可再生能源使用百分比的特定目标。技术包括:光伏(PV);风;太阳热能和电力;太阳能通风空气预热;太阳能热水;生物质热和电(燃烧,气化,热解,厌氧消化);和采光。该方法基于国家可再生能源实验室(NREL)在技术成本和性能表征,地理信息系统(GIS)资源评估以及生命周期成本分析方面的能力。本文讨论了如何考虑候选技术之间的交互方式,以及求解程序例程,该例程用于确定使生命周期成本最小化的组合。结果包括每种技术的最佳规模,初始成本,运营成本和生命周期成本,包括公用事业或政府的激励措施。结果可为早期计划提供信息,以便在现场确定项目并确定优先级,以进行后续工程和经济可行性研究。

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