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Bowman County hybrid geothermal-wind-solar power system model (MATLAB)

MATLAB model underlying a techno-economic assessment of low-enthalpy geothermal as firming capacity in a wind-dominant rural hybrid power system for Bowman County, North Dakota. The model sizes a wind, solar photovoltaic, geothermal ORC and battery portfolio against measured county demand, dispatches it hourly, and computes levelized cost, lifecycle emissions, a no-geothermal counterfactual and a cost-of-firmness frontier. Included are the sizing and dispatch routines, the ORC energy balance and its validation against a demonstration binary plant on the same resource, one-at-a-time sensitivity analysis, a seed ensemble, a geothermal outage-timing test, and a run across all 33 complete years of the station record. Resource inputs are transcribed from the North Dakota Agricultural Weather Network (NDAWN) Bowman station: 403 monthly observation records covering January 1993 to July 2026, and hourly series for 2023 including paired 3 m and 10 m wind measurements. NDAWN data are provided by North Dakota State University and are used here with attribution. Run main_bowman for the base case, or bowman_run_2023 for the measured hourly case.

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资源说明

MATLAB model underlying a techno-economic assessment of low-enthalpy geothermal as firming capacity in a wind-dominant rural hybrid power system for Bowman County, North Dakota. The model sizes a wind, solar photovoltaic, geothermal ORC and battery portfolio against measured county demand, dispatches it hourly, and computes levelized cost, lifecycle emissions, a no-geothermal counterfactual and a cost-of-firmness frontier. Included are the sizing and dispatch routines, the ORC energy balance and its validation against a demonstration binary plant on the same resource, one-at-a-time sensitivity analysis, a seed ensemble, a geothermal outage-timing test, and a run across all 33 complete years of the station record. Resource inputs are transcribed from the North Dakota Agricultural Weather Network (NDAWN) Bowman station: 403 monthly observation records covering January 1993 to July 2026, and hourly series for 2023 including paired 3 m and 10 m wind measurements. NDAWN data are provided by North Dakota State University and are used here with attribution. Run main_bowman for the base case, or bowman_run_2023 for the measured hourly case.

聚变人工智能代理模型智能控制geothermal energy; organic Rankine cycle; hybrid power system; wind energy; energy storage; techno-economic analysis; levelized cost of electricity; Williston Basin; North Dakota; MATLAB
RESEARCH USE PROFILE

研究使用指引

适用任务状态重建、快速预测、代理计算、参数扫描与设计优化
使用准备确认输入输出、训练范围、模型版本、运行依赖和误差指标
核验重点超出训练分布或用于关键工程判断时,应由高保真模型或实验数据复核
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