用于城市能源规划的低碳混合可再生电力系统的技术经济和环境评估:德黑兰-伊朗

IF 3.9 Q2 ENVIRONMENTAL SCIENCES
Mohammad Hossein Jahangir , Elahe Bazdar , Arash Kargarzadeh
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引用次数: 9

摘要

德黑兰是伊朗人口最多、污染最严重的城市之一,经济依赖化石燃料。本文旨在评估离网模式下生物质发电厂的技术经济和环境可行性,以提出德黑兰可靠电气化的最佳规划。为了实现这一目标,通过在HOMER软件中模拟模型,对所提出的混合可再生能源电力系统(HRES)进行尺寸优化和灵敏度分析,以确定研究区域最经济、最环保的混合可再生能源电力系统。选择最优建筑的评价标准是基于净当前成本(NPC)、能源成本(COE)和碳排放量(CEQ)的最低。据此,HOMER提出了7个可行的HRES,其中,由3181 kW光伏板、4300 kW WT、5100 kW BG、17035 kWh电池储能和4415 kW变流器组成的生物质发电(BG)、光伏发电(PV)和风力发电(WT)混合系统是最优的电力系统。此外,上述系统的COE为0.281美元/千瓦时,NPC为1.13亿美元。对七个系统的技术经济比较表明,光伏和WT与生物质系统的整合可能是一种有效的方法,可以实现成本最优和可靠的HRES,特别是在大型城市-低碳和气候适应型社区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Techno-economic and environmental assessment of low carbon hybrid renewable electric systems for urban energy planning: Tehran-Iran

Tehran is one of the most populous and polluted cities in Iran with a fossil fuel-dependent economy. This paper aims to assess a techno-economic and environmental feasibility of biomass-based power plant in off-grid mode to present optimal planning for reliable electrification to Tehran. To achieve this goal, size optimization and sensitivity analysis of the proposed hybrid renewable electric system (HRES) is performed by simulating a model in HOMER software to determine the most economical and environment-friendly HRES for the studied area. The assessment criteria for selection of optimal architecture are based on the lowest of net present cost (NPC), cost of energy (COE), and carbon emission quantity (CEQ). Accordingly, HOMER proposes the seven feasible HRES that among them, the biomass generator (BG), photovoltaic (PV) and Wind turbine (WT) hybrid system including 3,181 kW PV panels, 4300 kW WT, a 5,100 kW BG, 17,035 kWh battery storage and 4,415 kW converters is the most optimum power system. Besides, the aforesaid system has COE of 0.281 $/kWh and NPC of 113 M$. Techno-economic comparison of seven systems shows that the integration of PV and WT with biomass systems could be an effective method to make a cost-optimal and reliable HRES, especially in a large scale city- for low-carbon and climate-resilient communities.

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来源期刊
City and Environment Interactions
City and Environment Interactions Social Sciences-Urban Studies
CiteScore
6.00
自引率
3.00%
发文量
15
审稿时长
27 days
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