A methodology for biomass cogeneration plants overall energy efficiency calculation and measurement — A basis for generators real time efficiency data disclosure

2011 ◽  
Author(s):  
A. C. Paro ◽  
E. A. F. A. Fadigas
Keyword(s):  
Energy Efficiency ◽  
Real Time ◽  
Time Efficiency ◽  
Efficiency Calculation ◽  
Efficiency Data

Application Of Solar Maps In Design Of Generalposition Shading Devices

2020 ◽  
pp. 105-109
Author(s):  
Alexander T. Dvoretsky ◽  
Oleg V. Sergeichuk ◽  
Alexander V. Spiridonov
Keyword(s):  
Energy Efficiency ◽  
Solar Radiation ◽  
General Position ◽  
Horizontal Plane ◽  
Heating Period ◽  
Cooling Period ◽  
Efficiency Calculation ◽  
Shading Devices ◽  
Building Cooling ◽  
Simplified Formula

For insolation calculations and design of shading devices (SD) comprising plane sections or fins, the method based on solar maps shall be preferred because of its high descriptiveness and universality.The article describes the algorithm of design of a general-position SD using a solar map and a shade clinometer. An example of calculation of SD geometry parameters such as fin slopes with the horizontal plane and the facade plane, distance between the fins with consideration of screening of the translucent structure during the building cooling period and of transmission of solar radiation during its heating period is given in the article. A simplified formula of a general-position SD energy efficiency calculation is proposed.

scholarly journals A New Approach for Real Time Train Energy Efficiency Optimization

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2660 ◽  
Author(s):  
Agostinho Rocha ◽  
Armando Araújo ◽  
Adriano Carvalho ◽  
João Sepulveda
Keyword(s):  
Energy Efficiency ◽  
Simulated Annealing ◽  
Energy Consumption ◽  
Real Time ◽  
Optimization Algorithm ◽  
Normal Operation ◽  
Speed Profile ◽  
Railway Systems ◽  
Optimal Speed ◽  
Advisory System

Efficient use of energy is currently a very important issue. As conventional energy resources are limited, improving energy efficiency is, nowadays, present in any government policy. Railway systems consume a huge amount of energy, during normal operation, some routes working near maximum energy capacity. Therefore, maximizing energy efficiency in railway systems has, recently, received attention from railway operators, leading to research for new solutions that are able to reduce energy consumption without timetable constraints. In line with these goals, this paper proposes a Simulated Annealing optimization algorithm that minimizes train traction energy, constrained to existing timetable. For computational effort minimization, re-annealing is not used, the maximum number of iterations is one hundred, and generation of cruising and braking velocities is carefully made. A Matlab implementation of the Simulated Annealing optimization algorithm determines the best solution for the optimal speed profile between stations. It uses a dynamic model of the train for energy consumption calculations. Searching for optimal speed profile, as well as scheduling constraints, also uses line shape and velocity limits. As results are obtained in seconds, this new algorithm can be used as a real-time driver advisory system for energy saving and railway capacity increase. For now, a standalone version, with line data previously loaded, was developed. Comparison between algorithm results and real data, acquired in a railway line, proves its success. An implementation of the developed work as a connected driver advisory system, enabling scheduling and speed constraint updates in real time, is currently under development.

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