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首页> 外文期刊>Energy and Buildings >Multi-objective operation optimization and evaluation of large-scale NG distributed energy system driven by gas-steam combined cycle in China
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Multi-objective operation optimization and evaluation of large-scale NG distributed energy system driven by gas-steam combined cycle in China

机译：中国燃气-蒸汽联合循环驱动的大型天然气分布式能源系统多目标运行优化与评价

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摘要

Many pilot projects of large-scale distributed energy resources (DER) system have been constructed recent years in China and operation strategies make a great impact on their benefits and further development. This paper presents a multi-objective (joint) optimization model for the large-scale DER system of Guangzhou Higher Education Mega Center to obtain the optimal operation strategies under different daily periods: peak periods, flat periods, and valley periods. The prime mover used in this investigation is a gas-steam combined cycle based on combined gas turbines and steam turbines, and the DER system is evaluated under three different operation optimization modes: joint optimization mode of variable operational cost (VOC) and primary energy rate (PER), VOC optimization mode, and PER optimization mode. The primary energy consumption (PEC), PER, operational costs, and investment benefits of the DER system under different operation strategies of above three optimization modes are evaluated comparing with the buildings using conventional technologies. Results indicate that the VOC optimization mode provides the best combined cooling, heating, and power (CCHP) performance during flat periods by yielding the lowest PEC (133.78 kton/year) and operational cost (million $ 35.98/year), and the joint optimization mode shows the best performance during peak periods by producing the lowest PEC (80.42 kton/year) and similar low operational costs (million $ 21.74/year) to VOC optimization mode (million $ 20.89/year).
机译：近年来，中国已经建设了许多大规模分布式能源系统（DER）系统的试点项目，其运营策略对其收益和进一步发展产生了重大影响。本文针对广州高等教育大中心的大型DER系统，提出了一种多目标（联合）优化模型，以获得在高峰时段，平坦时段和低谷时段等不同日时段下的最佳运营策略。本研究中使用的原动力是基于燃气轮机和蒸汽轮机的燃气-蒸汽联合循环，并且在三种不同的运行优化模式下对DER系统进行了评估：可变运行成本（VOC）和一次能源费率的联合优化模式（PER），VOC优化模式和PER优化模式。与使用传统技术的建筑物相比，评估了以上三种优化模式的不同运行策略下的DER系统的一次能源消耗（PEC），PER，运营成本和投资收益。结果表明，VOC优化模式通过产生最低的PEC（133.78千吨/年）和运营成本（百万美元$ 35.98 /年），以及联合优化，可在平坦时期提供最佳的制冷，加热和动力（CCHP）综合性能。模式通过产生最低的PEC（80.42吨/年）和较低的运营成本（百万美元21.74 /年）达到与VOC优化模式（百万美元20.89 /年）相似的方式，从而在高峰时段表现出最佳性能。

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  • 来源
    《Energy and Buildings》 |2014年第6期|572-587|共16页
  • 作者

    Zhong-fu Tan; Hui-juan Zhang; Quan-sheng Shi; Yi-hang Song; Li-wei Ju;

  • 作者单位

    Institute of Energy Economics and Environment, North China Electric Power University, Beijing, China;

    Institute of Energy Economics and Environment, North China Electric Power University, Beijing, China;

    School of Economics and Management, Shanghai University of Electric Power, Shanghai, China;

    Institute of Energy Economics and Environment, North China Electric Power University, Beijing, China;

    Institute of Energy Economics and Environment, North China Electric Power University, Beijing, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Distributed energy resources; Multi-objective optimization; Gas-steam combined cycle; Operation strategies;

    机译：分布式能源;多目标优化;燃气-蒸汽联合循环;经营策略;

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