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Techno-economic analysis and multi-objective optimization of a novel solar-based building energy system; An effort to reach the true meaning of zero-energy buildings
Energy Conversion and Management ( IF 9.9 ) Pub Date : 2021-02-06 , DOI: 10.1016/j.enconman.2021.113858
Ahmad Arabkoohsar , Amirmohammad Behzadi , Ali Sulaiman Alsagri

In the present work, a novel hybrid solar-based smart building energy system is introduced and studied. The system comprises innovative photovoltaic-thermal-cooling (PVTC) panels integrated with hot and cold storages with two-way interaction with electricity, heat, and cooling networks (if any). The proposed system is compared with PV-based systems integrated with battery and heat pump for a case study complex building in Aarhus, Denmark. The comparison is conducted by evaluating the performance and economic indicators and investigating the effect of significant parameters on each scenario via a parametric study. Furthermore, the optimal operating conditions and sizing of the proposed system are determined using the genetic algorithm method considering initial cost and traded energy with local energy networks as the objective functions. The comparison results show that the proposed solution is the most cost-effective scenario with the lowest initial cost of about 457,000 $ and a payback period of 6.6 years. This is mainly due to the simultaneous interaction with electricity/heat/cooling networks as well as the elimination of the battery and the heat pump, which are offered by the proposed scenario. It is shown that, in comparison to PV panels, the PVTC can produce 328.7 MWh and 125.6 MWh extra heat and cooling annually. The scatter distribution of significant parameters shows that the panel area and heat storage capacity are not sensitive parameters, and keeping the cold storage capacity at the lower bound is a techno-economically better option.



中文翻译:

新型太阳能建筑能源系统的技术经济分析和多目标优化;努力达到零能耗建筑的真正含义

在目前的工作中,介绍并研究了一种新型的基于混合太阳能的智能建筑能源系统。该系统包括创新的光伏热冷却(PVTC)面板,该面板与热和冷存储器集成在一起,并与电,热和冷却网络(如果有)进行双向交互。将拟议的系统与基于电池和热泵的基于光伏的系统进行了比较,以进行丹麦奥尔胡斯复杂建筑的案例研究。通过评估性能和经济指标并通过参数研究调查重要参数对每种情况的影响来进行比较。此外,使用遗传算法方法确定了建议系统的最佳运行条件和规模,该方法考虑了初始成本和以当地能源网络作为目标函数的能源交易。比较结果表明,所提出的解决方案是最具成本效益的方案,最低初始成本约为457,000美元,投资回收期为6.6年。这主要是由于与电力/热/冷却网络同时进行交互以及取消了电池和热泵,这是由所提出的方案提供的。结果表明,与光伏板相比,PVTC每年可产生328.7 MWh和125.6 MWh的额外热量和冷却量。重要参数的散布分布表明,面板面积和储热容量不是敏感参数,将冷藏容量保持在较低范围是一种技术经济上更好的选择。000 $,投资回收期为6.6年。这主要是由于与电力/热/冷却网络同时进行交互以及取消了电池和热泵,这是由所提出的方案提供的。结果表明,与光伏板相比,PVTC每年可产生328.7 MWh和125.6 MWh的额外热量和冷却量。重要参数的散布分布表明,面板面积和储热容量不是敏感参数,将冷藏容量保持在较低范围是一种技术经济上更好的选择。000 $,投资回收期为6.6年。这主要是由于与电力/热/冷却网络同时进行交互以及取消了电池和热泵,这是由所提出的方案提供的。结果表明,与光伏板相比,PVTC每年可产生328.7 MWh和125.6 MWh的额外热量和冷却量。重要参数的散布分布表明,面板面积和储热容量不是敏感参数,将冷藏容量保持在较低范围是一种技术经济上更好的选择。PVTC每年可产生328.7 MWh和125.6 MWh的额外热量和冷却量。重要参数的散布分布表明,面板面积和储热容量不是敏感参数,将冷藏容量保持在较低范围是一种技术经济上更好的选择。PVTC每年可产生328.7 MWh和125.6 MWh的额外热量和冷却量。重要参数的散布分布表明,面板面积和储热容量不是敏感参数,将冷藏容量保持在较低范围是一种技术经济上更好的选择。

更新日期:2021-02-07
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