کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1730720 1521435 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market
ترجمه فارسی عنوان
ذخیره سازی انرژی حرارتی برای حداقل رساندن هزینه و بهبود بهره وری از یک سیستم انرژی منطقه polygeneration در یک بازار برق در زمان واقعی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی


• A district energy system with central cooling, heating, and electricity generation is studied.
• The system is optimized over 24 h using thermal energy storage to shift loads.
• A novel static/dynamic decomposition is used to solve the dynamic optimization problem.
• Scenarios with buying and selling electrical power in a real-time market are considered.
• An annual savings of 16.5% is achieved going from base case to optimal with market participation.

District energy systems can produce low-cost utilities for large energy networks, but can also be a resource for the electric grid by their ability to ramp production or to store thermal energy by responding to real-time market signals. In this work, dynamic optimization exploits the flexibility of thermal energy storage by determining optimal times to store and extract excess energy. This concept is applied to a polygeneration distributed energy system with combined heat and power, district heating, district cooling, and chilled water thermal energy storage. The system is a university campus responsible for meeting the energy needs of tens of thousands of people. The objective for the dynamic optimization problem is to minimize cost over a 24-h period while meeting multiple loads in real time. The paper presents a novel algorithm to solve this dynamic optimization problem with energy storage by decomposing the problem into multiple static mixed-integer nonlinear programming (MINLP) problems. Another innovative feature of this work is the study of a large, complex energy network which includes the interrelations of a wide variety of energy technologies. Results indicate that a cost savings of 16.5% is realized when the system can participate in the wholesale electricity market.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 113, 15 October 2016, Pages 52–63
نویسندگان
, , , , , , ,