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RENEWABLE ENERGY PLANNING: MULTIPARAMETRIC COST OPTIMIZATION

机译:可再生能源规划:多体成本优化

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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,这些能量技术最小化了设施的生命周期成本,通常具有关于从可再生来源的能源使用百分比的指定目标。技术包括:光伏(PV);风;太阳能热和电气;太阳能通风空气预热;太阳能水加热;生物质热电(燃烧,气化,热解,厌氧消化);和夏蓝。该方法依赖于国家可再生能源实验室(NREL)能力,表征技术成本和性能,地理信息系统(GIS)资源评估和生命周期成本分析。本文讨论了如何考虑候选技术彼此交互的方式,以及用于确定最小化生命周期成本的组合的求解器例程。结果包括各种技术,初始成本,运营成本和生命周期成本的最佳尺寸,包括公用事业或政府的激励。结果提前规划,以确定和优先考虑一个地点的项目,以进行后续工程和经济可行性研究。

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