公开(公告)号：WO2017048192A1

公开(公告)日：2017-03-23

申请号：PCT/SG2016/050446

申请日：2016-09-15

Applicant: NANYANG TECHNOLOGICAL UNIVERSITY

Inventor： DUAN, Fei ,  DUBEY, Swapnil ,  CHOO, Fook Hoong ,  QIU, Lu ,  WANG, Kai

IPC: F02G1/055 ,  F01K23/10 ,  F02C6/18 ,  F02G5/02 ,  F28D20/02

CPC classification number: F01K23/10 ,  F01K23/067 ,  F02C3/22 ,  F02C6/18 ,  F02G1/055 ,  F02G2254/15 ,  F02G2256/50 ,  F28D20/02 ,  Y02E20/14 ,  Y02E20/363

Abstract: A power generation system comprising: a liquefied natural gas (LNG) regasification unit configured to perform a regasification process to regasify LNG supplied from an LNG source to produce natural gas, the regasification process producing cold energy; a gas turbine configured to combust the natural gas to output power, the combusting producing an exhaust gas; a thermal storage unit configured to store heat obtained from the exhaust gas; and a Stirling engine configured to output power, the Stirling engine having a hot end heated by the heat stored in the thermal storage unit and a cold end cooled by the cold energy from the regasification process.

Abstract translation: 一种发电系统，包括：液化天然气（LNG）再气化单元，其被配置为执行再气化过程以再气化从LNG源供应的LNG以产生天然气，所述再生气过程产生冷能; 构造成燃烧天然气以输出动力的燃气轮机，所述燃烧产生废气; 蓄热单元，其构造成存储从所述废气获得的热量; 以及被配置为输出动力的斯特林发动机，所述斯特林发动机具有由存储在所述蓄热单元中的热量加热的热端，以及由所述再气化过程由所述冷能冷却的冷端。

公开(公告)号：WO2020145900A1

公开(公告)日：2020-07-16

申请号：PCT/SG2020/050015

申请日：2020-01-13

Applicant: NANYANG TECHNOLOGICAL UNIVERSITY

Inventor： WAN, Man Pun ,  YANG, Shiyu ,  NG, Bing Feng ,  DUBEY, Swapnil ,  BASKARAN, Krishnamoorthy

IPC: F24F11/46 ,  G05B13/04 ,  G05D23/19 ,  G05B15/02 ,  F24F130/00

Abstract: There is provided a method of controlling building service systems associated with a building for optimizing a plurality of building performance parameters with respect to a region of the building, the building service systems including an air-conditioning and/or heating system, a lighting system and a shading system, the method including: predicting, based on a shading and lighting prediction model, a visual comfort condition and a lighting condition with respect to the region of the building; optimizing, based on a first multi-component cost function including a plurality of components relating to a plurality of lighting or thermal performance parameters with respect to the region of the building, one or more first control parameters for controlling the lighting system and the shading system based on the predicted visual comfort condition and the predicted lighting condition; predicting, based on a building dynamics model, a plurality of building response parameters based on the predicted visual comfort condition and the predicted lighting condition associated with the region of the building; optimizing, based on a second multi- component cost function including a plurality of components relating to the plurality of building performance parameters, one or more second control parameters for controlling the air-conditioning and/or heating system based on the predicted plurality of building response parameters.