scholarly journals InnoMetrics Dashboard: The Design, and Implementation of the Adaptable Dashboard for Energy-Efficient Applications Using Open Source Tools

Author(s):  
Shokhista Ergasheva ◽  
Vladimir Ivanov ◽  
Ilya Khomyakov ◽  
Artem Kruglov ◽  
Dragos Strugar ◽  
...  
2012 ◽  
pp. 561-572
Author(s):  
Douglas L. Holton

This chapter describes a case study of the design and implementation of an online project-based course for learning constructivist instructional design techniques. Moodle, a free and open source learning management system, was chosen as a tool to meet both the goals of the course and the needs and abilities of the adult learners in this course. Despite the instructor’s and students’ inexperience with both Moodle and online courses, Moodle greatly facilitated the process, resulting in a largely successful and motivating learning experience.


Author(s):  
Rogério Atem de Carvalho ◽  
Renato de Campos ◽  
Rafael Manhães Monnerat

The design and implementation of an ERP system involves capturing the information necessary for implementing a system that supports enterprise management. This process should go down through different abstraction layers, starting on enterprise modeling and finishing at coding. For the case of Free/Open Source ERP, the lack of proper modeling methods and tools jeopardizes the advantages of source code availability. Moreover, the distributed, decentralized decision-making, and source-code driven development culture of open source communities, generally does not rely on methods for modeling the higher abstraction levels necessary for an ERP solution. The aim of this paper is to present a development process and supportive tools for the open source enterprise system ERP5, which covers the different abstraction levels involved, taking into account well established standards and practices, as well as new approaches, by supplying Enterprise, Requirements, Analysis, Design, and Implementation workflows and tools to support them.


2013 ◽  
Vol 8 (1) ◽  
pp. 642-649
Author(s):  
Shaomei Wu ◽  
Tao Lin ◽  
Ningjiu Tang ◽  
Zhiming Wu

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 210 ◽  
Author(s):  
Matthias Slonski ◽  
Tobias Schrag

Future buildings will use technologies that are either well-known, innovative, or a combination thereof in order to be environmentally friendly and feasible at the same time. To evaluate and compare such systems through simulation, adaptive tools need to be available. This paper describes a conceived method for planning quarters and settlements. The novelty of this work emerges from the combination of a building simulation with a linear economic optimisation of the energy system, to achieve the energy-plus house standard for a settlement. Furthermore, the tools applied are adaptive or open source. In this article, a hypothetical basic example is given for a predefined idealised settlement, which consists of 132 single-family houses of one building type. The hourly demand for electrical energy and heat is established for three energy-efficiency classes for the building type with a dynamic simulation in MATLAB/SIMULINK using the CARNOT toolbox. This toolbox is also used to calculate the specific electrical energy production by photovoltaics. The components for the energy system of the settlement are implemented in the open source linear optimisation tool URBS. An economic optimum for the energy system of the settlement is found for each of the energy efficiency classes for an accumulated energy demand of the buildings. In this way, a lossless energy hub between the buildings is assumed. The results of the conducted simulations indicate that the optimal ratio of air/water to ground/water heat pumps shifts towards air/water heat pumps with more energy efficient houses. This is due to the lower specific investment costs, which outweigh the operational costs when less energy is required. The lowest costs for the entire energy system are for the one with the most energy efficient settlement. This is the case, as the costs for the higher energy standard of the buildings are not considered in the calculations. The behaviour of the optimisation is tested and discussed through a sensitivity analysis for one efficiency class. By presenting this simple, comprehensible example, an impression of the possible applications for this methodology is conveyed.


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