Matching method of electric turbo compound for two-stroke low-speed marine diesel engine

涡轮增压器 汽车工程 气体压缩机 涡轮机 自然吸气发动机 柴油机 涡轮 工程类 制动比油耗 四冲程发动机 机械工程 燃烧 燃烧室 有机化学 化学
作者
Mingyang Yang,Chao Hu,Yunlong Bai,Kangyao Deng,Yuncheng Gu,Yuehua Qian,Бо Лю
出处
期刊:Applied Thermal Engineering [Elsevier]
卷期号:158: 113752-113752 被引量:20
标识
DOI:10.1016/j.applthermaleng.2019.113752
摘要

Two-stroke low-speed diesel engine is widely employed in marine industry thanks to its evident advantages on fuel economy and reliability. Normally, turbocharger together with an auxiliary air blower are employed in the two-stroke engine to ensure the smooth scavenging over whole propeller characteristics, but fuel economy and layout compactness of the engine are scarified due to the employment of the auxiliary device. This paper investigates influences of electric turbo compound, which integrates a conventional turbocharger with electric motor/generator (EMG) and capable of replacing the auxiliary blower, on the performance of a two-stroke low-speed marine engine as well as the matching method of the turbocharging system. Firstly, influences of EMG power and compressor/turbine matching on the engine nominal efficiency are discussed in details. The analytical model together with simulation results show that the efficiency of the turbocharger is the most important factor influencing variation behaviors of engine nominal efficiency. In particular, the peak engine nominal efficiency can be achieved when the operational points of the compressor and turbine are pushed to their peak efficiency islands by either the control of EMG power or compressor/turbine matching. Therefore, a matching guideline of the electric turbo compound is proposed based on the study and then applied on a two-stroke low-speed marine engine. Compared with the conventional turbocharger, a smaller compressor is matched at high loads while a smaller turbine is matched at low loads for the optimal electric turbo compound turbocharger. Specifically, brake specific fuel consumption (BSFC) of the engine is reduced by about 2–3% at three load profiles by the new technology.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
红尘踏歌发布了新的文献求助10
刚刚
刚刚
陌路孤星发布了新的文献求助30
刚刚
刚刚
JK157完成签到,获得积分10
1秒前
1秒前
2秒前
3秒前
阳光发布了新的文献求助10
3秒前
4秒前
4秒前
希望天下0贩的0应助Ashley采纳,获得10
4秒前
Yuxuan发布了新的文献求助10
4秒前
下颌磨牙钳完成签到,获得积分10
5秒前
Liar应助JK157采纳,获得10
6秒前
隐形曼青应助ayee采纳,获得10
6秒前
恶恶么v发布了新的文献求助10
6秒前
7秒前
8秒前
liangkai发布了新的文献求助10
8秒前
科研通AI2S应助余歌采纳,获得10
8秒前
leoskrrr发布了新的文献求助10
8秒前
善学以致用应助yuyu采纳,获得10
8秒前
sasaki完成签到,获得积分10
9秒前
lyouang完成签到,获得积分10
9秒前
北世发布了新的文献求助10
10秒前
10秒前
瑾璟发布了新的文献求助20
11秒前
11秒前
顾矜应助苹果骑士采纳,获得10
11秒前
11秒前
情怀应助机智的瑾瑜采纳,获得10
12秒前
12秒前
13秒前
艺术家完成签到 ,获得积分10
13秒前
阳光完成签到,获得积分10
13秒前
小马甲应助努力摆烂采纳,获得10
15秒前
Hello应助冷酷的格尔曼采纳,获得10
15秒前
15秒前
嗳7发布了新的文献求助10
15秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3124336
求助须知:如何正确求助?哪些是违规求助? 2774637
关于积分的说明 7723368
捐赠科研通 2430117
什么是DOI,文献DOI怎么找? 1290937
科研通“疑难数据库(出版商)”最低求助积分说明 621972
版权声明 600297