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A New Modeling Approach for Low-Carbon District Energy System Planning

机译:低碳区能源系统规划的新建模方法

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摘要

Designing district-scale energy systems with renewable energy sources is still a challenge, as it involves modeling of multiple loads and many options to combine energy system components. In the current study, two different energy system scenarios for a district in Montreal/Canada are compared to choose the most cost-effective and energy-efficient energy system scenario for the studied area. In the first scenario, a decentral energy system comprised of ground-source heat pumps provides heating and cooling for each building, while, in the second scenario, a district heating and cooling system with a central heat pump is designed. Firstly, heating and cooling demand are calculated in a completely automated process using an Automatic Urban Building Energy Modeling System approach (AUBEM). Then, the Integrated Simulation Environment Language (INSEL) is used to prepare a model for the energy system. The proposed model provides heat pump capacity and the number of required heat pumps (HP), the number of photovoltaic (PV) panels, and AC electricity generation potential using PV. After designing the energy systems, the piping system, heat losses, and temperature distribution of the centralized scenario are calculated using a MATLAB code. Finally, two scenarios are assessed economically using the Levelized Cost of Energy (LCOE) method. The results show that the central scenario’s total HP electricity consumption is 17% lower than that of the decentral systems and requires less heat pump capacity than the decentral scenario. The LCOE of both scenarios varies from 0.04 to 0.07 CAD/kWh, which is cheaper than the electricity cost in Quebec (0.08 CAD/kWh). A comparison between both scenarios shows that the centralized energy system is cost-beneficial for all buildings and, after applying the discounts, the LCOE of this scenario decreases to 0.04 CAD/kWh.
机译:设计具有可再生能源的地区级能源系统仍然是一个挑战,因为它涉及多重载荷的建模和许多组合能量系统组件的选项。在目前的研究中,比较了蒙特利尔/加拿大区的两个不同的能源系统情景,为学习区域选择最具成本效益和节能的能源系统情景。在第一场景中,由地源热泵组成的分光能量系统为每个建筑提供加热和冷却,而在第二场景中,设计了具有中央热泵的地区加热和冷却系统。首先,使用自动城市建筑能量建模系统方法(aubem)在完全自动化的过程中计算加热和冷却需求。然后,使用集成的仿真环境语言(INSEL)来为能量系统制备模型。所提出的模型提供热泵容量和所需热泵(HP)的数量,光伏(PV)面板的数量和AC电力发电电位使用PV。在设计能量系统之后,使用MATLAB代码计算集中式场景的管道系统,热损失和温度分布。最后,使用两种情况,使用能量(LCoE)方法的稳定性成本在经济上进行评估。结果表明,中央方案的总HP电力消耗比二分散系统的总惠普电力消耗低17%,并且需要比二边形场景更少的热泵容量。这两种情况的LCoE在0.04至0.07 cad / kWh之间,比魁北克省(0.08 cad / kWh)便宜。这两种情况之间的比较表明,集中式能量系统对所有建筑物具有成本效益,并且在应用折扣后,这种情况的LCoE减少至0.04 cad / kWh。

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