دانلود مقاله ISI انگلیسی شماره 142773
ترجمه فارسی عنوان مقاله

تولید توزیع شده آینده: یک مدل بهینه سازی عملیاتی چند هدفه برای شبکه های برق مجتمع کوچک، گرما و گاز مجتمع کوچک

عنوان انگلیسی
Future distributed generation: An operational multi-objective optimization model for integrated small scale urban electrical, thermal and gas grids
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
142773 2017 12 صفحه PDF
منبع

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

Journal : Energy Conversion and Management, Volume 143, 1 July 2017, Pages 348-359

پیش نمایش مقاله
پیش نمایش مقاله  تولید توزیع شده آینده: یک مدل بهینه سازی عملیاتی چند هدفه برای شبکه های برق مجتمع کوچک، گرما و گاز مجتمع کوچک

چکیده انگلیسی

A multi-objective optimization model for urban integrated electrical, thermal and gas grids is presented. The main system consists of a retrofitted natural gas pressure regulation station where a turbo-expander allows to recover energy from the process. Here, the natural gas must be preheated in order to avoid methane hydrates. The preheating phase could be based on fossil fuels, renewable or on a thermal mix. Depending on the system configuration, the proposed optimization model enables a proper differentiation based on how the natural gas preheating process is expected to be accomplished. This differentiation is addressed by weighting the electricity produced by the turbo-expander and linking it to proper remuneration tariffs. The effectiveness of the model has been tested on an existing plant located in the city of Genoa. Here, the thermal energy is provided by means of two redundant gas-fired boilers and a cogeneration unit. Furthermore, the whole system is thermally integrated with a district heating network. Numerical simulation results, obtained with the commercial proprietary software Honeywell UniSim Design Suite, have been compared with the optimal solutions achieved. The effectiveness of the model, in terms of economic and environmental performances, is finally quantified. For specific conditions, the model allows achieving an operational costs reduction of about 17% with the respect to thermal-load-tracking control logic.