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Study on the performance of distributed energy systems based on historical loads considering parameter uncertainties for decision making

机译:考虑参数不确定性的基于历史负荷的分布式能源系统性能研究

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摘要

Distributed energy systems (DESs) are becoming increasingly popular because of their high-energy efficiency and low pollution emissions. Accurate performance evaluation of such systems is critical for processes at the early design stages. However, there are considerable uncertainties in terms of the parameters used for performance evaluation and design optimization, including component efficiencies, customer demands, and energy markets. These uncertainties can significantly influence the performance of DESs. Without consideration of these uncertainties, the performance of DESs can be overestimated or underestimated, which leads to inaccurate decision-making. Therefore, this paper presents a comprehensive evaluation of the performance of DESs by considering uncertainties in 12 parameters that relate to the electrical and thermal efficiencies of generators, efficiency of chillers and pumps, load density, energy markets, and so on. The energy and economic performance of DESs under each uncertainty are analyzed and compared with that of conventional energy systems. The suitable conditions for using DESs and other factors that can influence their performance are determined. The results of this study can serve as a guide for design optimization and policy development to promote the use of DESs in China. (C) 2019 Elsevier Ltd. All rights reserved.
机译:分布式能源系统(DES)由于其高能效和低污染排放而变得越来越受欢迎。此类系统的准确性能评估对于早期设计阶段的流程至关重要。但是,用于性能评估和设计优化的参数存在很大的不确定性,包括组件效率,客户需求和能源市场。这些不确定性会严重影响DES的性能。如果不考虑这些不确定性,DES的性能可能会被高估或低估,从而导致决策不准确。因此,本文通过考虑与发电机电气和热效率,冷水机组和泵的效率,负载密度,能源市场等有关的12个参数的不确定性,对DES的性能进行了全面评估。分析了每种不确定性下DES的能源和经济绩效,并与常规能源系统进行了比较。确定使用DES的合适条件以及可能影响其性能的其他因素。这项研究的结果可以作为设计优化和政策制定的指南,以促进在中国使用DES。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy 》 |2019年第1期| 778-791| 共14页
  • 作者单位

    Huazhong Univ Sci & Technol, Dept Bldg Environm & Energy Applicat Engn, 1037 Luoyu Rd, Wuhan 430074, Hubei, Peoples R China;

    Shenzhen Intellitech Co Ltd, Shenzhen, Peoples R China;

    Huazhong Univ Sci & Technol, Dept Bldg Environm & Energy Applicat Engn, 1037 Luoyu Rd, Wuhan 430074, Hubei, Peoples R China;

    Technol & Higher Educ Inst Hong Kong, Dept Construct Technol & Engn, Hong Kong, Peoples R China;

    Huazhong Univ Sci & Technol, Dept Bldg Environm & Energy Applicat Engn, 1037 Luoyu Rd, Wuhan 430074, Hubei, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Distributed energy system; Uncertainty; District cooling system; Decision making; Energy saving; Payback period;

    机译:分布式能源系统;不确定性;分区冷却系统;决策制定;节能减排;投资回收期;

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