한국해양대학교

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도시차원의 에너지 통합 운영 알고리즘 개발

Title
도시차원의 에너지 통합 운영 알고리즘 개발
Author(s)
허나리
Publication Year
2012
Publisher
한국해양대학교
URI
http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002174810
http://repository.kmou.ac.kr/handle/2014.oak/8908
Abstract
The purpose of this paper is to develop algorithm of using and operating energy effectively from the entire city.

To realize "Low Carbon, Green City", some techniques related to reducing energy of existing buildings have been used for energy saving. However, there is the limitation of reducing carbon dioxide emissions in the entire city and energy consumption. Through the renewable energy which has less carbon dioxide emission, it is to reduce carbon dioxide emission for the realization of "Low Carbon, Green City".

It is needed to realize "Next-Generation Energy System in City Level". Through energy infrastructure and the effective management, it is possible to reduce energy consumption. I develop the operation of this system.

The research methods and procedures of this study are as follows.

First, I investigated two systems. One is the micro grid and smart grid of power system which is energy integration operating system. The other is district heating and cooling of heat source system.

Second, I described "Next-Generation Energy System in City Level" which is suggested in this study and described energy source of operating plant. And it is presented energy integrated operating algorithm in city level.

Third, this study describes three elements which configured algorithm. First element is to determine the production priority of energy source from lowest carbon emission and lowest power cost. Next element was to forecast power forecasting of photovoltaic and wind power generation. Photovoltaic predicts using "Predict Solar Radiation According to Weather Report" and Prediction equation of output capability diagram from wind power generation’s generator. The last element, storage of heat shows from the decision of prediction of regenerative power and heat demand forecasting, prior to 24 hours from the decision.
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해양건축공학과 > Thesis
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