دانلود مقاله ISI انگلیسی شماره 43565
ترجمه فارسی عنوان مقاله

مدیریت بار برق سمت مشتری برای سیستم های پایدار تولید با استفاده از سیستم تولید برق و حرارت ترکیبی

عنوان انگلیسی
Customer-side electricity load management for sustainable manufacturing systems utilizing combined heat and power generation system
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
43565 2015 8 صفحه PDF
منبع

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

Journal : International Journal of Production Economics, Volume 165, July 2015, Pages 112–119

ترجمه کلمات کلیدی
مدیریت بار برق - سیستم های تولید پایدار - گرما و برق ترکیبی (CHP) سیستم تولید
کلمات کلیدی انگلیسی
Electricity load management; Sustainable manufacturing systems; Combined heat and power (CHP) generation system
پیش نمایش مقاله
پیش نمایش مقاله  مدیریت بار برق سمت مشتری برای سیستم های پایدار تولید با استفاده از سیستم تولید برق و حرارت ترکیبی

چکیده انگلیسی

Customer-side electricity load management can effectively improve the reliability of electricity grid and reduce the cost of electricity for customers. Combined heat and power (CHP) generation systems have been considered a promising method to implement electricity load management and have been widely applied in commercial and residential building sectors. Recently, the benefit of CHP application in electricity load management in industrial sector has also been gradually recognized. On-site generated electricity by a CHP system can be utilized to support the operation of industrial equipment and thus the cost of electricity purchased from the grid can be reduced. In this paper, we focus on the utilization of CHP in electricity load management for industrial manufacturing systems to examine the benefits regarding cost savings for the manufacturers. The optimal schedule for both the manufacturing and the CHP systems under a Time-of-Use (TOU) electricity tariff can be identified by minimizing the electricity billing cost and CHP operation cost under the constraint of production throughput. Mixed-Integer Nonlinear Programming (MINLP) formulation is developed to model this scheduling problem mathematically. Particle Swarm Optimization (PSO) is used to find a near optimal solution for the problem with a reasonable computational cost. A numerical case study is used to illustrate the effectiveness of the proposed method.