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OPTIMISATION OF ENERGY AND WATER SUPPLY SYSTEMS FOR THE DUBAI WATERFRONT

机译:迪拜海滨的能源和供水系统优化

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This paper details a study, carried out in collaboration with the main project architects, to support the infrastructure design of the Dubai Waterfront, a new city for 1.5 million people. The goal was to establish, balancing economics and environmental impact, the best combination of primary energy supply and conversion technologies required to meet electricity, heating, cooling, chilled and potable water requirements for the new city, for which prior analysis had defined detailed demand profiles (variable hourly, daily and seasonally). A multi-objective MILP optimisation model was developed which included the key generation, transformation, storage and utilisation options, together with financial (capital and operating cost) and CO2 emission models of each. After an initial screening, primary energy supply technologies considered included: Combined cycle gas turbine (CCGT), Solar photovoltaics, Solar thermal (parabolic troughs), Large scale on-shore wind power and Waste to energy. For water desalination, both thermal (in particular Multiple effect distillation) and electromechanical processes (in particular Reverse Osmosis) were considered as potentially viable. For cooling, options selected included Absorption chillers and Vapour compression chillers. While storage of electricity was not considered feasible, options to store chilled and potable water were included. Key aspects of the approach and model, some of the data used, and representative results are described. The model, implemented and solved in GAMS, provided a consistent framework for the comparison of alternative technologies, the trade-offs between cost and emissions and the assessment of deployment scenarios. Results include some unexpected findings arising from the complex interactions between demand variations and energy, water and water storage components. In particular, storing chilled water in insulated storage tanks and potable water in exposed but deep lakes represented an effective way to store energy, minimise peak energy supply, and reduce both capital and CO2 emissions.
机译:本文详细介绍了研究,合作与主体工程的建筑师进行,支持迪拜滨水区,1.5万人口的新城区的基础设施设计。我们的目标是要建立,平衡经济和环境的影响,需要满足电力的主要能源供应和转换技术的最佳组合,加热,冷却,冷冻,并为新的城市,为此,之前的分析已确定了详细的需求概况饮用水要求(可变每小时,每天和季节性)。多目标优化的MILP模型,开发了包括密钥生成,转换,存储和利用方案,加上金融(资本和运营成本),每个的CO2排量车型。初步筛选后,初级能源供应技术考虑包括:联合循环燃气涡轮机(CCGT),太阳能光伏,太阳能热(抛物槽),大规模岸上风力发电和废物能量转化。用于水脱盐,无论热(特别是多效蒸馏)和机电的过程(特别是反渗透)被认为是潜在可行的。为了冷却,选项中选择包括吸收式制冷机和蒸气压缩式制冷机。虽然不被认为是可行的电力存储,选择存储冷藏和饮用水都包括在内。该方法和模型的关键方面,一些数据的使用,代表性的结果进行说明。该模型,实施和GAMS解决,替代技术的比较提供了一个一致的框架,成本和排放的部署方案评估之间的权衡。结果包括从需求变化和能源,水和水存储组件之间复杂的相互作用而产生一些意想不到的发现。特别地,在绝缘储罐和在暴露的,但深湖泊饮用水存储冷水表示一种有效的方式来存储能量,最小化峰值能量供应,并且降低资本和二氧化碳排放。

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