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Optimal distributed energy resources and the cost of reduced greenhouse gas emissions in a large retail shopping centre

机译:大型零售购物中心的最佳分布式能源资源和减少温室气体排放的成本

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This paper presents a case study on optimal options for distributed energy resource (DER) technologies to reduce greenhouse gas emissions in a large retail shopping centre located in Sydney, Australia. Large retail shopping centres take the largest share of energy consumed by all commercial buildings, and present a strong case for adoption of DER technologies to reduce energy costs and emissions. However, the complexity of optimally designing and operating DER systems has hindered their widespread adoption in practice. This paper examines and demonstrates the value of DER in reducing the carbon footprint of the shopping centre by formulating and solving a multiobjective optimisation problem using the Distributed Energy Resources Customer Adoption Model (DER-CAM) tool. An economic model of the shopping centre is developed in DER-CAM using on-site-specific demand, tariffs, and performance data for each DER technology option available. Four key optimal DER technology investment scenarios are then analysed by comparing: (1) solution trade-offs of costs and emissions, (2) the cost of reduced emissions attained in each investment scenario, and (3) investment benefits with respect to the business-as-usual scenario. The analysis shows that a moderate investment in combined cooling, heat and power (CCHP) technology alone can reduce annual energy costs by 8.5% and carbon dioxide-equivalent emissions by 29.6%. A larger investment in CCHP technology, in conjunction with on-site solar photovoltaic (PV) generation, can deliver nearly 72% reductions in emissions at a 47% increase in total energy costs. The study demonstrates the effectiveness and flexibility of this type of modelling approach for the analysis, design, and ongoing assessment of new DER technologies under changing market conditions, supporting a more robust adoption of DER technologies in the commercial building sector. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文介绍了一个案例研究,该案例研究了位于澳大利亚悉尼的大型零售购物中心中分布式能源技术(DER)技术的最佳选择,以减少温室气体排放。大型零售购物中心在所有商业建筑中消耗的能源份额最大,这为采用DER技术降低能源成本和排放提供了强有力的证据。但是,优化设计和操作DER系统的复杂性阻碍了它们在实践中的广泛采用。本文通过使用分布式能源客户采用模型(DER-CAM)工具制定和解决多目标优化问题,研究并论证了DER在减少购物中心碳足迹方面的价值。在DER-CAM中使用针对每种可用DER技术选件的特定于现场的需求,价格和性能数据,开发了购物中心的经济模型。然后,通过比较以下四个关键的最佳DER技术最佳投资方案:(1)解决方案在成本和排放之间进行权衡;(2)在每种投资方案中实现的减排成本;以及(3)与业务相关的投资收益-通常情况。分析表明,仅在冷却,热电联产(CCHP)技术上进行适度的投资就可以每年减少8.5%的能源成本和29.6%的二氧化碳当量排放。在CCHP技术上进行更大的投资,再加上现场太阳能光伏(PV)发电,可以减少近72%的排放,总能源成本增加47%。该研究证明了这种建模方法在不断变化的市场条件下对新DER技术的分析,设计和持续评估的有效性和灵活性,支持了DER技术在商业建筑领域的更强大采用。 (C)2015 Elsevier Ltd.保留所有权利。

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