An integrated supply-demand model for the optimization of energy flow in the urban system
An integrated supply-demand model for the optimization of energy flow in the urban system
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DOI：
10.1016/j.jclepro.2015.05.098
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发表时间：
2016-02
影响因子：
11.1
通讯作者：
Hooman Farzaneh;Christopher Doll;J. A. P. Oliveira
中科院分区：
文献类型：
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作者：
Hooman Farzaneh;Christopher Doll;J. A. P. Oliveira
本研究旨在建立一个自下而上的综合供需模型，以评估城市能源系统的最佳性能。为此，开发了一个基于微观经济学原理的优化模型，并使用数学规划进行部署。在该模型中，城市能源系统被视为一个经济行为者在市场上寻求建立一个有效的能源系统，以提高其整体资源效率，以最小的系统总成本。该模型引导系统实现包括替代能源和能源效率目标在内的供需能源承诺。在本文中，我们应用该模型来解决电力不足，印度德里，作为一个案例研究。研究结果显示，透过提高住宅部门的能源最终使用效率，最终用户层面的节能量在不久的将来可达每年约220吉瓦时。除此之外，到2030年，安装约40兆瓦的垃圾发电厂，并从屋顶太阳能光伏发电约210吉瓦时的电力，可以为电力供应部门提供足够的盈余，以满足城市在不久的将来的电力需求。尽管该系统存在一些内在的局限性，这些局限性源于微观经济学的假设以及与数据需求相关的挑战，但该模型可以帮助从政府到业主的地方行为者找到满足其能源需求的最佳解决方案。这种建模框架可以通过资源使用优化、废物最小化、清洁技术和污染限制来解决组织在城市一级的可持续绩效，这些都用于实现共同利益和广泛的生态工业发展目标。
This research aims to develop a bottom-up integrated supply-demand model to assess the optimal performance of urban energy systems. To this end, an optimization model founded on the principles of microeconomics was developed and deployed using mathematical programming. In this model, the urban energy system is treated as an economic actor in the market seeking to establish an effective energy system to improve its overall resource efficiency with minimum total cost of the system. The model leads the system to achieve supply and demand energy commitments which include alternative energy and energy efficiency targets. In this paper, we apply the model to address the electricity deficiency in Delhi, India, as a case study. The results suggest that the saving at the end-user level could reach about 220 GWh per annum in the near future through improving energy end-use efficiency in the domestic sector. Besides this, the installation of about 40 MW from waste-to-electricity plants and generating approximately 210 GWh electricity from the rooftop solar PV by 2030 could enable a sufficient surplus for the power supply sector to meet the city's electricity demand in the near future. Even though the system has some inherent limitations stemming from the assumptions of microeconomics and challenges related to data needs, the model can help the local actors, from governments to property owners, to find the best solutions for their energy needs. Such a modeling framework could address an organization's sustainable performance at the urban level through the resource use optimization, minimization of waste, cleaner technologies and pollution limits which are used in achieving co-benefits and a broad range of Eco-Industrial Development (EID) goals.