Distributed Energy Resource Management System Based on Discrete Event Simulation

2020 ◽  
pp. 246-273
Author(s):  
Simona Šinko ◽  
Dušan Kragelj ◽  
Ivana Radić ◽  
Brigita Gajšek ◽  
Tomaž Kramberger ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Industry 4.0 ◽  
Discrete Event ◽  
Energy Resource ◽  
Distributed Energy ◽  
Modeling And Analysis ◽  
Event Simulation ◽  
Resource Management System ◽  
Distributed Energy Resource

Nowadays, there is more and more discussion about Industry 4.0. The introduction of which could result into growing larger power consumption in a world. On the other side, some parts of Industry 4.0 can help to reduce energy consumption with the use of smart grid, internet of things, renewable energy, etc. The future of energy seems to be in the distributed energy resources (DER). The chapter presents the use of DER on the example of hospital, which are considered as the biggest consumer of energy in commercial sector. Because of important role of understanding the energy consumption, there is an emphasis on the energy modeling and analysis. The chapter provides a new approach in the modelling of energy with the discrete even simulation in which energy is presented by logistics packages, where every package presents a unit of energy. Basic analyses that can be made with the model are presented.

Distributed Energy Resource Management System Based on Discrete Event Simulation

2021 ◽  
pp. 131-157
Author(s):  
Simona Šinko ◽  
Dušan Kragelj ◽  
Ivana Radić ◽  
Brigita Gajšek ◽  
Tomaž Kramberger ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Industry 4.0 ◽  
Discrete Event ◽  
Energy Resource ◽  
Distributed Energy ◽  
Modeling And Analysis ◽  
Event Simulation ◽  
Resource Management System ◽  
Distributed Energy Resource

Nowadays, there is more and more discussion about Industry 4.0. The introduction of which could result into growing larger power consumption in a world. On the other side, some parts of Industry 4.0 can help to reduce energy consumption with the use of smart grid, internet of things, renewable energy, etc. The future of energy seems to be in the distributed energy resources (DER). The chapter presents the use of DER on the example of hospital, which are considered as the biggest consumer of energy in commercial sector. Because of important role of understanding the energy consumption, there is an emphasis on the energy modeling and analysis. The chapter provides a new approach in the modelling of energy with the discrete even simulation in which energy is presented by logistics packages, where every package presents a unit of energy. Basic analyses that can be made with the model are presented.

scholarly journals An Entropy-Based Formulation for the Support of Sustainable Mass Customization 4.0

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
César Martínez-Olvera
Keyword(s):  
Energy Consumption ◽  
Mass Customization ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Discrete Event ◽  
Energy Productivity ◽  
Event Simulation ◽  
Managerial Implications ◽  
Optimal Resource ◽  
Information And Communication

Industry 4.0, an information and communication umbrella of terms that includes the Internet of Things (IoT) and cyber-physical systems, aims to ensure the future of the manufacturing industry competing in a proper environment of mass customization: demand for short delivery time, high quality, and small-lot products. Within this context of an Industry 4.0 mass customization environment, success depends on its sustainability, where the latter can only be achieved by the manufacturing efficiency of the smart factory-based Industry 4.0 transforming processes. Even though Industry 4.0 is associated with an optimal resource and energy productivity/efficiency, it becomes necessary to answer if the integration of Industry 4.0 elements (like CPS) has a favorable sustainability payoff. This requires performing energy consumption what-if analyses. The original contribution of this paper is the use of the entropy-based formulation as an alternative way of performing the initial steps of the energy consumption what-if analyses. The usefulness of the proposed approach is demonstrated by comparing the results of a discrete-event simulation model of mass customization 4.0 environment and the values obtained by using the entropy-based formulation. The obtained results suggest that the entropy-based formulation acts as a fairly good trend indicator of the system’s performance parameters increase/decrease. The managerial implications of these findings are presented at the end of this document.

The Role of Electricity Tariff Design in Distributed Energy Resource Deployment

2020 ◽  
Author(s):  
Elisheba Spiller ◽  
Ricardo Esparza ◽  
Kristina Mohlin ◽  
Karen Tapia-Ahumada ◽  
Burcin Unel
Keyword(s):  
Energy Resource ◽  
Distributed Energy ◽  
Distributed Energy Resource ◽  
Resource Deployment ◽  
Electricity Tariff

Thermal Analysis of the MIPS Processor Formulated within DEVS Conventions

2013 ◽  
pp. 103-144
Author(s):  
Alejandro Moreno Astorga ◽  
José L. Risco-Martín ◽  
Eva Besada-Portas ◽  
Luís de la Torre ◽  
Joaquín Aranda
Keyword(s):  
Thermal Analysis ◽  
Energy Consumption ◽  
Performance Analysis ◽  
Evolutionary Algorithms ◽  
Computer Architecture ◽  
Set Theory ◽  
Discrete Event ◽  
Heterogeneous Distribution ◽  
Modeling And Analysis ◽  
Event Simulation

The MIPS processor is used in computer architecture courses in order to explain matters such as performance analysis, energy consumption, and reliability. Currently, due to the desire for more powerful computers, it is interesting to learn how to reallocate certain components in order to achieve heat reduction with low cooling costs. DEVS is a general formalism for modeling and analysis of discrete event systems based on set theory and represents a basis for discrete event abstractions by formalizing the concept of activity which relates to the specification and heterogeneous distribution of events in space and time. The MIPS simulator is built upon known techniques for discrete event simulation and its definition within a formal language such as DEVS provides completeness, verifiability, extensibility, and maintainability. In this chapter, the authors carry out a thermal analysis of the MIPS processor using a DEVS simulator and show a register reallocation policy based on evolutionary algorithms that notably decreases the resulting register bank temperature.

An Overview of Distributed Energy Resource (DER) Interconnection: Current Practices and Emerging Solutions

2019 ◽  
Author(s):  
Kelsey A Horowitz ◽  
Zachary Peterson ◽  
Michael H Coddington ◽  
Fei Ding ◽  
Benjamin O Sigrin ◽  
...  
Keyword(s):  
Energy Resource ◽  
Distributed Energy ◽  
Distributed Energy Resource ◽  
Current Practices
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