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The current situation demands for the production of a more efficient diesel engine fuel replacement due to the increased fuel consumption, diesel fuel exhaustion, and, eventually, social and economic repercussions. Extensive to the point research has been done where it is still looking at prospective alternatives for diesel. In this scenario, the internal combustion engine's performance is a critical point to guarantee an effective and efficient alternative fuel. In this paper, a bibliographic review of the most widely debated engine operating characteristics, such as fuel consumption, thermal efficiency, and brake power, has been carried out. Furthermore, this study investigates a state-of-the-art comparison of the compression ignition engine characteristics utilizing algae biodiesel as fuel. This work has demonstrated the application of a great deal of information to assess and explain the many types of fuels and engines. Following a thorough analysis, it was revealed that the brake power has increased by 1% to 20%, the brake specific fuel consumption has increased by 0.9% to 13.90%, and the thermal efficiency has decreased by 1% to 27.65%. As a result, algae and its blend characteristics are shown to be compatible with diesel. Because algal biodiesel and its blends have performance and emission properties that are very similar to diesel, they can be utilized as diesel engine fuel without modification. Physicochemical characteristics and the impact of algae biodiesel blends on compression ignition engine performance and emissions could be investigated in addition to blend preparation.

This paper introduces a novel method for sitting and sizing the grid connected distributed generator (DG) for installation in distribution system at any input load condition, which is based on two port transmission equations, named as modified transmission parameters (MTP) method by considering the loss minimization as a constraint. If properly organized, with the help of various transmission parameters optimal DG allocation with minimum transmission losses, contribution of DG as well as the main supply source to each load, type of DG required to handle the existing power flow scenario, and operating power factor at which DG should operate can be easily investigated. Apart from this the author has also investigated the worst location for DG installation and referred to it as Consecutive Bus. The method has been tested on two test distribution systems with varying sizes and intricacy and the results have been compared with the two established methods reported earlier. Relative study presented has shown that the proposed method leads existing methods in terms of its simplicity, computational time, and handling less number of variables.