A review of energy simulation tools for the manufacturing sector

A review of energy simulation tools for the manufacturing sector
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DOI:
10.1016/j.rser.2017.08.063
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发表时间:
2018
影响因子:
15.9
通讯作者:
T. Garwood;Ben Richard Hughes;Michael Oates;Dominic O’Connor;Ruby Hughes
T. Garwood;Ben Richard Hughes;Michael Oates;Dominic O’Connor;Ruby Hughes
中科院分区:
工程技术1区
文献类型:
--
作者:
T. Garwood;Ben Richard Hughes;Michael Oates;Dominic O’Connor;Ruby Hughes

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制造业是一个竞争激烈的全球市场,缓解气候变化的努力是公众认知的前沿。目前制造业的趋势是在不对成品产量产生负面影响的情况下降低成本和提高可持续性,从而保持或提高利润。在制造环境中有效利用能源可以通过降低间接成本来帮助实现这一目标。通过利用模拟来预测能源需求可以获得显著的好处,使公司能够根据能源以及其他指标(如资源使用,吞吐量和间接成本)做出有效的改造决策。传统上,建筑能耗建模(BEM)和制造过程模拟(MPS)已被广泛地应用在各自的领域,但他们仍然是独立的和隔离的,这限制了模拟窗口用于识别能源improvements.This审查的细节建模方法和模拟工具,已被使用,或可用的,在尝试联合收割机结合BEM和MPS,或元素,从每一个,到一个整体的方法。这种方法将能够模拟工厂中包含的多个层的相互依赖性,从生产机器,工艺线和技术建筑服务(TBS)到建筑外壳。因此,实现了一个更大的角度来确定整个运营范围和多个(如果不是所有)制造业的能源改善措施。在这样做的挑战,将边界元法在制造模拟中突出,以及通过未来的研究开发的研究中的差距。本文确定了用于制造设施的整体能源模拟工具的开发要求,该工具能够模拟不同建筑层和系统之间的相互依赖性,以及从现场数据或现有BIM以适当格式快速生成3D建筑几何形状的方法,用于现有工厂建筑的能源模拟。
Manufacturing is a competitive global market and efforts to mitigate climate change are at the forefront of public perception. Current trends in manufacturing aim to reduce costs and increase sustainability without negatively affecting the yield of finished products, thus maintaining or improving profits. Effective use of energy within a manufacturing environment can help in this regard by lowering overhead costs. Significant benefit can be gained by utilising simulations in order to predict energy demand allowing companies to make effective retrofit decisions based on energy as well as other metrics such as resource use, throughput and overhead costs. Traditionally, Building Energy Modelling (BEM) and Manufacturing Process Simulation (MPS) have been used extensively in their respective fields but they remain separate and segregated which limits the simulation window used to identify energy improvements.This review details modelling approaches and the simulation tools that have been used, or are available, in an attempt to combine BEM and MPS, or elements from each, into a holistic approach. Such an approach would be able to simulate the interdependencies of multiple layers contained within a factory from production machines, process lines and Technical Building Services (TBS) to the building shell. Thus achieving a greater perspective for identifying energy improvement measures across the entire operating spectrum and multiple, if not all, manufacturing industries. In doing so the challenges associated with incorporating BEM in manufacturing simulation are highlighted as well as gaps within the research for exploitation through future research. This paper identified requirements for the development of a holistic energy simulation tool for use in a manufacturing facility, that is capable of simulating interdependencies between different building layers and systems, and a rapid method of 3D building geometry generation from site data or existing BIM in an appropriate format for energy simulations of existing factory buildings.