scholarly journals Application of Model Transformation for Optimized Building Energy Management

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Energy Management ◽  
Building Energy ◽  
Mixed Integer ◽  
Smart Building ◽  
Integer Linear Programming Problem ◽  
Building Energy Management ◽  
Management Application ◽  
Hinge Model ◽  
High Level ◽  
Transformation Processes

This paper describes an approach aiming to automatically transform a model describing a high level physical behavior model into two different optimized building energy management application models. The first step consists in building a hinge model composed of element models. Then based on MDE approach, this model is projected, according to transformation processes, to application models. This paper presents core specifications of manipulation and transformation of hinge model. To illustrate this approach, an example of transformation into both an acausal anticipative model based on mixed integer linear programming problem and a non-linear causal model for fast simulated annealing optimization are shown. These models are used for energy management of a smart building platform named PREDIS/MHI.

scholarly journals Conception and Validation of Smart Building Energy Management System BEMS Using the Discrete Event System Specification DEVS

2014 ◽  
Vol 10 (2) ◽  
pp. 107 ◽  
Author(s):  
Abdelfettah Maatoug ◽  
Ghalem Belalem
Keyword(s):  
Energy Management ◽  
Management System ◽  
Discrete Event ◽  
Building Energy ◽  
Energy Management System ◽  
System Specification ◽  
Reactive Control ◽  
Smart Building ◽  
Building Energy Management ◽  
High Level

The improvement of the energetic behavior of buildings has turned into a major issue due to the high level of energy consumption. In this context, the building is represented as a dynamical system and a system of data acquisition is developed, which allows the measurement of environmental and energetic parameters, so as to describe the behavior of the building interacting with its direct environment. Research related to energy management can be divided into two categories: predictive control (anticipative) and adaptive control (reactive). A new building energy management system (BEMS) which is the chosen system to validate, treats a long-term anticipative control and introduces a reactive control that adds another level of intelligence to the BEMS.The main goal of this paper is to propose a model using the formalism DEVS to describe and simulate the BEMS. Our motivation is explained by the fact that DEVS is a tool for modeling of discrete event systems and it divides the overall system into subsystems in order to facilitate the achievement which is consistent with the characteristics of multilayer architecture of the chosen system.

scholarly journals Modeling and Optimization of Smart Building Energy Management System Considering Both Electrical and Thermal Load

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 574
Author(s):  
Muhammad Hilal Khan ◽  
Azzam Ul Asar ◽  
Nasim Ullah ◽  
Fahad R. Albogamy ◽  
Muhammad Kashif Rafique
Keyword(s):  
Energy Management ◽  
Management System ◽  
Energy Demand ◽  
Storage System ◽  
Building Energy ◽  
Energy Management System ◽  
Smart Building ◽  
Building Energy Management ◽  
Real Coded Genetic Algorithm ◽  
The Impact

Energy consumption in buildings is expected to increase by 40% over the next 20 years. Electricity remains the largest source of energy used by buildings, and the demand for it is growing. Building energy improvement strategies is needed to mitigate the impact of growing energy demand. Introducing a smart energy management system in buildings is an ambitious yet increasingly achievable goal that is gaining momentum across geographic regions and corporate markets in the world due to its potential in saving energy costs consumed by the buildings. This paper presents a Smart Building Energy Management system (SBEMS), which is connected to a bidirectional power network. The smart building has both thermal and electrical power loops. Renewable energy from wind and photo-voltaic, battery storage system, auxiliary boiler, a fuel cell-based combined heat and power system, heat sharing from neighboring buildings, and heat storage tank are among the main components of the smart building. A constraint optimization model has been developed for the proposed SBEMS and the state-of-the-art real coded genetic algorithm is used to solve the optimization problem. The main characteristics of the proposed SBEMS are emphasized through eight simulation cases, taking into account the various configurations of the smart building components. In addition, EV charging is also scheduled and the outcomes are compared to the unscheduled mode of charging which shows that scheduling of Electric Vehicle charging further enhances the cost-effectiveness of smart building operation.

Smart Building Energy Management: Load Profile Prediction using Machine Learning

2021 ◽  
Author(s):  
G. Revati ◽  
J. Hozefa ◽  
S. Shadab ◽  
A. Sheikh ◽  
S. R. Wagh ◽  
...  
Keyword(s):  
Machine Learning ◽  
Energy Management ◽  
Building Energy ◽  
Load Profile ◽  
Smart Building ◽  
Building Energy Management

Decision support methodologies and day-ahead optimization for smart building energy management in a dynamic pricing scenario

2020 ◽  
Vol 216 ◽  
pp. 109963 ◽  
Author(s):  
A. Pallante ◽  
L. Adacher ◽  
M. Botticelli ◽  
S. Pizzuti ◽  
G. Comodi ◽  
...  
Keyword(s):  
Decision Support ◽  
Energy Management ◽  
Dynamic Pricing ◽  
Building Energy ◽  
Smart Building ◽  
Building Energy Management

Parallel building: a complex system approach for smart building energy management

2019 ◽  
Vol 6 (6) ◽  
pp. 1452-1461
Author(s):  
Abdulaziz Almalaq ◽  
Jun Hao ◽  
Jun Jason Zhang ◽  
Fei-Yue Wang
Keyword(s):  
Complex System ◽  
Energy Management ◽  
System Approach ◽  
Building Energy ◽  
Smart Building ◽  
Building Energy Management

scholarly journals Design of a portable radio-frequency-identification reader capable to reading a user memory bank for smart-building energy management

2021 ◽  
Vol 23 (3) ◽  
pp. 1538
Author(s):  
Ajib Setyo Arifin ◽  
M. B. Fathinah Hanun ◽  
Eka Maulana ◽  
I Wayan Mustika ◽  
Fitri Yuli Zulkifli
Keyword(s):  
Radio Frequency ◽  
Energy Management ◽  
Radio Frequency Identification ◽  
Building Energy ◽  
Line Of Sight ◽  
Memory Bank ◽  
Smart Building ◽  
Rfid Reader ◽  
Building Energy Management ◽  
Frequency Identification

Communication is an important factor in smart-building energy management (SBEM). Many communications technologies have been applied to SBEM, including radio-frequency identification (RFID). RFID has been used not only for identification but also for carrying information, which is stored in a user memory bank attached to the tag. To access the user memory bank, an RFID reader should comply with ISO 18000-6C standards. The greatest challenge of RFID-reader technology is its short communication range, which limits the sensing area. To overcome this problem, this paper proposes a portable RFID reader built to an ISO 18000-6C standard to extend the sensing area due to its moveability. The reader is designed using low-cost devices widely available on the market for ease of duplication and assembly by researchers, educators, and startups. The proposed RFID reader can read passive tags with distances up to 12 and 5.5 m for line-of-sight (LOS) and non-line-of-sight (NLOS) communication, respectively. The minimum received-signal-strength indicators (RSSIs) for LOS and NLOS are found to be −63.75 and −59.66 dBm, respectively. These results are comparable with those of non-portable RFID readers on the market.

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