The present work studies and identifies the different variables that affect the output parameters involved in a single cylinder direct injection compression ignition （CI） engine using jatropha biodiesel. Response su...The present work studies and identifies the different variables that affect the output parameters involved in a single cylinder direct injection compression ignition （CI） engine using jatropha biodiesel. Response surface methodology based on Central composite design （CCD） is used to design the experiments. Mathematical models are developed for combustion parameters （Brake specific fuel consumption （BSFC） and peak cylinder pressure （Pmax））, performance parameter brake thermal efficiency （BTE） and emission parameters （CO, NOx, unburnt HC and smoke） using regression techniques. These regression equations are further utilized for simultaneous optimization of combustion （BSFC, Pmax）, performance （BTE） and emission （CO, NOx, HC, smoke） parameters. As the objective is to maximize BTE and minimize BSFC, Pmax, CO, NOx, HC, smoke, a multi- objective optimization problem is formulated. Non- dominated sorting genetic algorithm-II is used in predict- ing the Pareto optimal sets of solution. Experiments are performed at suitable optimal solutions for predicting the combustion, performance and emission parameters to check the adequacy of the proposed model. The Pareto optimal sets of solution can be used as guidelines for the end users to select optimal combination of engine outputand emission parameters depending upon their own requirements.展开更多
在低碳发展和能源转型的背景下,探索综合能源系统,有助于减少对传统化石能源的依赖,有益于能源结构的调整和能源可持续发展的进程。基于传统混合储能系统的出力特性,构建了结合用户侧需求响应模型的三级混合储能系统模型,利用“源—网...在低碳发展和能源转型的背景下,探索综合能源系统,有助于减少对传统化石能源的依赖,有益于能源结构的调整和能源可持续发展的进程。基于传统混合储能系统的出力特性,构建了结合用户侧需求响应模型的三级混合储能系统模型,利用“源—网—储—荷”的互补关系,提出了4种方案。通过采用带精英策略的快速非支配排序遗传算法(Nondominated Sorting Genetic Algorithm-Ⅱ, NSGA-Ⅱ)进行优化,帕累托前沿解集利用优劣解距离法(Technique for Order Preference by Similarity to Ideal Solution, TOPSIS)找出每种方案的最优解,并得到了电网和热网各设备的最佳运行情况。结果表明:相较于独立运行模式,电和热需求响应模型优化加入后,在各指标相同偏好下系统每日可以节省成本463.5元,减少碳排放4.36 kg,但同时会影响系统的独立性。展开更多
文摘The present work studies and identifies the different variables that affect the output parameters involved in a single cylinder direct injection compression ignition （CI） engine using jatropha biodiesel. Response surface methodology based on Central composite design （CCD） is used to design the experiments. Mathematical models are developed for combustion parameters （Brake specific fuel consumption （BSFC） and peak cylinder pressure （Pmax））, performance parameter brake thermal efficiency （BTE） and emission parameters （CO, NOx, unburnt HC and smoke） using regression techniques. These regression equations are further utilized for simultaneous optimization of combustion （BSFC, Pmax）, performance （BTE） and emission （CO, NOx, HC, smoke） parameters. As the objective is to maximize BTE and minimize BSFC, Pmax, CO, NOx, HC, smoke, a multi- objective optimization problem is formulated. Non- dominated sorting genetic algorithm-II is used in predict- ing the Pareto optimal sets of solution. Experiments are performed at suitable optimal solutions for predicting the combustion, performance and emission parameters to check the adequacy of the proposed model. The Pareto optimal sets of solution can be used as guidelines for the end users to select optimal combination of engine outputand emission parameters depending upon their own requirements.
文摘在低碳发展和能源转型的背景下,探索综合能源系统,有助于减少对传统化石能源的依赖,有益于能源结构的调整和能源可持续发展的进程。基于传统混合储能系统的出力特性,构建了结合用户侧需求响应模型的三级混合储能系统模型,利用“源—网—储—荷”的互补关系,提出了4种方案。通过采用带精英策略的快速非支配排序遗传算法(Nondominated Sorting Genetic Algorithm-Ⅱ, NSGA-Ⅱ)进行优化,帕累托前沿解集利用优劣解距离法(Technique for Order Preference by Similarity to Ideal Solution, TOPSIS)找出每种方案的最优解,并得到了电网和热网各设备的最佳运行情况。结果表明:相较于独立运行模式,电和热需求响应模型优化加入后,在各指标相同偏好下系统每日可以节省成本463.5元,减少碳排放4.36 kg,但同时会影响系统的独立性。
