Optimal design and operation of distributed low-carbon energy technologies in commercial buildings
Optimal design and operation of distributed low-carbon energy technologies in commercial buildings
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DOI：
10.1016/j.energy.2017.10.066
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发表时间：
2018-01-01
期刊：
影响因子：
9
通讯作者：
Markides, Christos N.
中科院分区：
文献类型：
--
作者：
Acha, Salvador;Mariaud, Arthur;Markides, Christos N.
商业建筑是能源消耗大户，改善其生产和消费电力、供暖和制冷方式的机会是存在的。如果能源系统集成是可行的，这可以导致能源消耗和排放的显著减少。在这种情况下，这项工作扩展了现有的分布式能源系统（DES）集成技术选择和操作（TSO）优化模型。该模型考虑了热电联产（CHP）和有机朗肯循环（ORC）发动机、吸收式制冷机、光伏板和电池，旨在指导决策者做出有吸引力的投资，这些投资在技术上是可行的，对环境无害。一个英国食品配送中心的改造案例研究，展示了当考虑不同技术时，通过对比结果，综合能源系统所带来的好处和权衡。结果表明，热电联产机组与ORC机组或吸收式制冷机的耦合是首选的投资方案。这些解决方案提供了具有吸引力的28-30%的内部回报率，在3.5-3.7年内收回投资，同时还使建筑脱碳95-96%（如果使用绿色气体为场地供电）。总体而言，TSO模型提供了有价值的见解，允许利益相关者在评估复杂的综合能源系统时做出明智的决策。(C) 2017年作者。Elsevier Ltd.出版。
Commercial buildings are large energy consumers and opportunities exist to improve the way they produce and consume electricity, heating and cooling. If energy system integration is feasible, this can lead to significant reductions in energy consumption and emissions. In this context, this work expands on an existing integrated Technology Selection and Operation (TSO) optimisation model for distributed energy systems (DES). The model considers combined heat and power (CHP) and organic Rankine cycle (ORC) engines, absorption chillers, photovoltaic panels and batteries with the aim of guiding decision makers in making attractive investments that are technically feasible and environmentally sound. A retrofit case study of a UK food distribution centre is presented to showcase the benefits and trade-offs that integrated energy systems present by contrasting outcomes when different technologies are considered. Results show that the preferred investment options select a CHP coupled either to an ORC unit or to an absorption chiller. These solutions provide appealing internal rates of return of 28-30% with paybacks within 3.5-3.7 years, while also decarbonising the building by 95-96% (if green gas is used to power the site). Overall, the TSO model provides valuable insights allowing stakeholders to make well-informed decisions when evaluating complex integrated energy systems. (C) 2017 The Authors. Published by Elsevier Ltd.