دانلود مقاله ISI انگلیسی شماره 64763
ترجمه فارسی عنوان مقاله

ارتباطات انرژی و مدیریت انتشار گازهای گلخانه ای برای رشد شبکه های آینده

عنوان انگلیسی
Telecommunications energy and greenhouse gas emissions management for future network growth
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
64763 2016 12 صفحه PDF
منبع

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

Journal : Applied Energy, Volume 166, 15 March 2016, Pages 174–185

ترجمه کلمات کلیدی
بهره وری انرژی شبکه مخابراتی، انرژی چرخه زندگی مخابراتی، توسعه پایدار، مدل سازی انرژی، مدیریت رشد پایدار
کلمات کلیدی انگلیسی
Telecommunication network energy efficiency; Telecommunication life cycle energy; Sustainable development; Energy efficiency modeling; Sustainable growth management

چکیده انگلیسی

A key aspect of greener network deployment is how to achieve sustainable growth of a telecommunications network, both in terms of operational and embodied energy. Hence, in this paper we investigate how the overall energy consumption and greenhouse gas emissions of a fast growing telecommunications network can be minimized. Due to the complexities in modeling the embodied energy of networks, this aspect of energy consumption has received limited attention by network operators. Here, we present the first model to evaluate the interdependencies of the four main contributing factors in managing the sustainable growth of a telecommunications network: (i) the network’s operational energy consumption; (ii) the embodied energy of network equipment; (iii) network traffic growth; and (iv) the expected energy efficiency improvements in both the operational and embodied phases. Using Monte Carlo techniques with real network data, our results demonstrate that under the current trends in overall energy efficiency improvements the network embodied energy will account for over 40% of the total network energy in 2025 compared to 20% in 2015. Further, we find that the optimum equipment replacement cycle, which will result in the lowest total network life cycle energy, is directly dependent on the technological progress in energy efficiency improvements of both operational and embodied phases. Our model and analysis highlight the need for a comprehensive approach to better understand the interactions between network growth, technological progress, equipment replacement lifetime, energy consumption, and the resulting carbon footprint.