کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
760693 | 1462875 | 2014 | 17 صفحه PDF | دانلود رایگان |

• We estimated energy demand of building groups in a town using an in-house tool.
• We developed an operation simulator to match supply–demand processes of energy.
• Detailed technological information to operate the CES is provided by the simulation.
• LNG demand is forecasted for the expansion of the CES up to 14 years in the future.
We analyzed energy consumption by a newly constructed part of a city in Korea to forecast the LNG demand for 14 years. The electricity, heating, cooling, and hot-water demands for a cogeneration-based CES (Community Energy System) accommodating 86,000 people in 29,000 houses are estimated using load models developed through direct measurements and statistical surveys. Based on published occupancy rates and forecasts of the rate of increase in energy consumption by third parties through independent study, the energy demands were driven in the form of 8760-h time series for each of the 14 years. Next, we simulate the demand–supply matching processes of a specifically chosen cogeneration engine for the CES to forecast the LNG consumption and the electricity trade for each year. We simulated the demand–supply matching processes with an automation tool specifically developed for this study. The methodology we established in this study can be applied to similar problems which may arise anywhere in the world.
Journal: Energy Conversion and Management - Volume 87, November 2014, Pages 1010–1026