메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
양승재 (한밭대학교) 노희지 (한밭대학교) 채종성 (한밭대학교) 엄태인 (한밭대학교)
저널정보
한국폐기물자원순환학회 한국폐기물자원순환학회지 한국폐기물자원순환학회지 제37권 제1호
발행연도
2020.1
수록면
76 - 83 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Incineration is a stable, high-temperature thermal treatment method for flammable waste that has the advantage ofrecovering energy through incineration heat use. With the growing interest in combustible waste treatment, research hasfocused on combustion technologies that use solid refuse fuel (SRF) to improve fuel quality. This study investigated theeffect of the cross-sectional area of the upper part of the secondary air inlet of an SRF combustion furnace under constantfuel properties and air ratio to optimize the SRF incinerator design. We calculated the temperature, velocity, andconcentration distributions of the combustion furnace for two cases: cases A (larger cross-sectional area of the secondaryair inlet) and B (smaller cross-sectional area of the secondary air inlet). The primary and secondary air injections for bothcases were fixed at 50%. The fluctuations in the combustion gas temperature and velocity in the combustion furnace werecalculated. In addition, the emission characteristics were compared according to the combustion furnace height. In CaseA, the outlet temperature was 1321 K, and the SRF and CO concentrations were 130 and 2,140 ppm at the outlet,respectively. In Case B, the outlet temperature was 1362 K, and the SRF and CO concentrations were 230 and 30 ppmat the outlet, respectively. In conclusion, the cross-sectional area of the secondary air injector can influence the combustioncharacteristics of SRF combustion furnaces. We expect these findings to help optimize SRF incinerator designs in termsof maximizing energy efficiency and minimizing environmental impacts.

목차

등록된 정보가 없습니다.

참고문헌 (18)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0