دانلود مقاله ISI انگلیسی شماره 100233
ترجمه فارسی عنوان مقاله

توسعه یک سیستم مدیریت انرژی جهانی برای سازمان های غیرمستقیم چند منظوره صنعتی: روش شناسی

عنوان انگلیسی
Development of a Global Energy Management System for non-energy intensive multi-site industrial organisations: A methodology
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
100233 2017 16 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Energy, Volume 136, 1 October 2017, Pages 16-31

ترجمه کلمات کلیدی
سیستم مدیریت انرژی جهانی، مسئولیت اجتماعی شرکت، تداوم کسب و کار، پایداری، چارچوب پشتیبانی تصمیم، مدل بلوغ مدیریت مدیریت، شاخص های عملکرد انرژی،
کلمات کلیدی انگلیسی
Global Energy Management System; Corporate social responsibility; Business continuity; Sustainability; Decision support framework; Energy management maturity model; Energy performance indicators;
پیش نمایش مقاله
پیش نمایش مقاله  توسعه یک سیستم مدیریت انرژی جهانی برای سازمان های غیرمستقیم چند منظوره صنعتی: روش شناسی

چکیده انگلیسی

For multi-site organisations, informed decision making on capital investment aimed at improving energy performance and cutting carbon emissions, across a global site base, is a complex problem. This work presents the systematic development and implementation of a novel energy management methodology for multi-site organisations to reach optimal efficiency across their network. The methodology, a Global Energy Management System, is based on the following strategic pillars: (1) Site Characterisation; (2) Performance Evaluation; (3) Energy Strategy; and (4) Shared learnings and dissemination. These pillars are underpinned by essential foundations: (a) Global energy team and communication forum; (b) Knowledge base at site and global level; and (c) Corporate Energy Policy. The methodology incorporates both quantitative performance evaluation using novel key performance indicators and benchmarking, as well as qualitative characterisation using energy management maturity models. The methodology culminates with a systematic, repeatable and scalable decision support framework, underpinned by a multi-criteria decision-making methodology. A detailed case study is presented for a multi-national corporation in the life sciences industry, which resulted in increased awareness of energy and carbon emissions, as well as related impacts on business continuity, corporate sustainability and social responsibility. This triggered increased investment in energy efficiency measures, thus promoting the conditions for continuous improvement towards optimal network performance.