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Carbon-neutral hybrid energy systems with deep water source cooling, biomass heating, and geothermal heat and power

机译:具有深水源冷却,生物质供热以及地热供热的碳中和混合能源系统

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This article addresses the optimal design of carbon-neutral hybrid energy system with deep water source cooling, biomass heating, and geothermal heat and power. A novel superstructure of the proposed hybrid energy system comprised of an enhanced geothermal system, a torrefied biomass-based combustion system, and a deep water source cooling system with conventional chillers as auxiliaries, is developed. Based on the superstructure of the proposed hybrid energy system, we develop a multi-period optimization model to minimize a fractional metric, the levelized cost. Because the main product of the hybrid energy system is heat, the levelized cost is expressed as levelized cost of heat, with other byproducts indirectly incorporated by using credits. The resulting nonconvex mixed-integer nonlinear fractional programming problem is efficiently solved by using a tailored optimization algorithm. Two case studies based on Cornell's campus in Ithaca, New York are presented to quantify the effect of different electric power sources on the technoeconomic objective, as well as the life cycle greenhouse gas emissions. The first case study considers electric power from natural gas, while a carbon-neutral electric power supply based on renewable geothermal energy is envisioned in the second case study. Results show that switching the electric power supply from natural gas to geothermal energy could reduce the greenhouse gas emissions by 24.5%, while only increasing the levelized cost of heat by 5.6%. The carbon footprint for both case studies are promisingly low, compared with numerous existing heat generation technologies. Through sensitivity analysis, the project lifetime is identified as the most influential input parameter.
机译:本文介绍了具有深水源冷却,生物质加热以及地热热电的碳中性混合能源系统的优化设计。开发了一种拟议的混合能源系统的新型上层建筑,该系统由增强的地热系统,基于生物质的焙烧的生物燃料燃烧系统和具有常规冷却器作为辅助设备的深水源冷却系统组成。基于所提出的混合能源系统的上部结构,我们开发了一个多周期优化模型,以最小化分数指标(即平准化成本)。因为混合能源系统的主要产品是热,所以平准化成本表示为热平分成本,而其他副产品则通过信用额度间接纳入。通过使用定制的优化算法可以有效地解决由此产生的非凸混合整数非线性分数规划问题。提出了两个基于纽约州伊萨卡康奈尔大学校园的案例研究,以量化不同电源对技术经济目标以及生命周期温室气体排放的影响。第一个案例研究考虑了天然气发电,而第二个案例研究则设想了一种基于可再生地热能的碳中性电源。结果表明,将电力供应从天然气转换为地热能可以减少24.5%的温室气体排放,而只会使平均供热成本增加5.6%。与许多现有的发热技术相比,这两个案例研究的碳足迹都有望降低。通过敏感性分析,项目生命周期被确定为最具影响力的输入参数。

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