Implementation of a demand elasticity model in the building energy management system

Ożadowicz, A.; Grela, J.; Babar, Muhammad

doi:10.1109/ebccsp.2016.7605234

Cited by 7 publications

(15 citation statements)

References 7 publications

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“…System structure and all the connections are presented in Figure 6. Further detail information about the measurement system design are presented by authors in [15]. …”

Section: Measurement System Designmentioning

confidence: 99%

“…It was implemented in Raspberry Pi using the IzoT stack and provided: (1) serial communication interface for Raspberry Pi and CS5460, (2) reading of registered values from the CS5460, and (3) an application code for control and learning was written in C programming language [14,15]. Figure 7 shows finite state machine of the Flexometer, which has 7 states (i.e., configuration parameters and control) and 7 transitions (i.e., network variables).…”

Section: Finite State Machinementioning

confidence: 99%

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Energy Flexometer: Transactive Energy-Based Internet of Things Technology

et al. 2018

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Effective Energy Management with an active Demand Response (DR) is crucial for future smart energy system. Increasing number of Distributed Energy Resources (DER), local microgrids and prosumers have an essential and real influence on present power distribution system and generate new challenges in power, energy and demand management. A relatively new paradigm in this field is transactive energy (TE), with its value and market-based economic and technical mechanisms to control energy flows. Due to a distributed structure of present and future power system, the Internet of Things (IoT) environment is needed to fully explore flexibility potential from the end-users and prosumers, to offer a bid to involved actors of the smart energy system. In this paper, new approach to connect the market-driven (bottom-up) DR program with current demand-driven (top-down) energy management system (EMS) is presented. Authors consider multi-agent system (MAS) to realize the approach and introduce a concept and standardize the design of new Energy Flexometer. It is proposed as a fundamental agent in the method. Three different functional blocks have been designed and presented as an IoT platform logical interface according to the LonWorks technology. An evaluation study has been performed as well. Results presented in the paper prove the proposed concept and design.

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“…System structure and all the connections are presented in Figure 6. Further detail information about the measurement system design are presented by authors in [15]. …”

Section: Measurement System Designmentioning

confidence: 99%

Section: Finite State Machinementioning

confidence: 99%

Energy Flexometer: Transactive Energy-Based Internet of Things Technology

et al. 2018

Self Cite

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“…In practice, they are mostly combined into local small power grids defined as microgrids [1][2][3]. Moreover, some RES are installed near buildings or households and locally connected to energy supply networks, providing not only electrical but thermal energy as well [4,5]. It is necessary to highlight that buildings are one of the most energy-intensive sectors.…”

Section: Introductionmentioning

confidence: 99%

“…With the BACS and TBM as well as a new Internet of Things (IoT) technology which is considered as one of new communication standards in the BACS, all of the aforesaid equipment and subsystems could be easily integrated into the active DSM, providing new features and possibility to build fully integrated, flexible and adaptive structure to manage energy in the PMG. In this respect, the active DSM is a very important feature of Building Energy Management Systems (BEMSs), which are integrated within the BACS [4,26,31,32]. Moreover, Home Energy Management Systems (HEMS) based on the BACS standards are considered to improve the operation utility of households in the microgrid concept.…”

Section: Introductionmentioning

confidence: 99%

“…With Technical Building Management (TBM) functions, the BACS provide effective control and monitoring of heating, ventilation, air conditioning (HVAC), cooling, hot water, lighting and energy sources. However, the BACS with TBM have an impact not only comfort and safety in buildings, but on their energy performance as well [4,19,[27][28][29][30]. With the BACS and TBM as well as a new Internet of Things (IoT) technology which is considered as one of new communication standards in the BACS, all of the aforesaid equipment and subsystems could be easily integrated into the active DSM, providing new features and possibility to build fully integrated, flexible and adaptive structure to manage energy in the PMG.…”

Section: Introductionmentioning

confidence: 99%

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A New Concept of Active Demand Side Management for Energy Efficient Prosumer Microgrids with Smart Building Technologies

Ożadowicz

2017

Energies

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Abstract:Energy efficient prosumer microgrids (PMGs) with active and flexible demand side management (DSM) mechanisms are considered to be crucial elements of future smart grids. Due to an increasing share of renewable energy and the growing power demand, appropriate tools to manage not only the loads but also small generation units, heating and cooling systems, storage units and electric vehicles should be provided for them. Therefore, this paper proposes an innovative approach to both physical and logical organization of an active DSM system for future building-integrated prosumer microgrids (BIPMGs), based on standard building automation and control systems (BACS) as well as Internet of Things (IoT) paradigm. New event-triggered control functions with developed universal, logical interfaces for open BACS and IoT network nodes are presented and their implementation in smart metering as well as fully integrated energy management mechanisms is analyzed. Finally, potential energy efficiency improvements with proposed BACS functions are discussed, based on BACS efficiency requirements defined in the EN 15232 standard.

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Energy management system for smart grid: An overview and key issues

2020

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Summary Energy crisis and the global impetus to “go green” have encouraged the integration of renewable energy resources, plug‐in electric vehicles, and energy storage systems to the grid. The presence of more than one energy source in the grid necessitates the need for an efficient energy management system to guide the flow of energy. Moreover, the variability and volatile nature of renewable energy sources, uncertainties associated with plug‐in electric vehicles, the electricity price, and the time‐varying load bring new challenges to the power engineers to achieve demand‐supply balance for stable operation of the power system. The energy management system can effectively coordinate the energy sharing/trading among all available energy resources, and supply loads economically in all the conditions for the reliable, secure, and efficient operation of the power system. This paper reviews the framework, objectives, architecture, benefits, and challenges of the energy management system with a comprehensive analysis of different stakeholders and participants involved in it. The review paper gives a critical analysis of the distributed energy resources behavior and different programs such as demand response, demand‐side management, and power quality management implemented in the energy management system. Different uncertainty quantification methods are also summarized. This review paper also presents a comparative and critical analysis of the main optimization techniques used to achieve different energy management system objectives while satisfying multiple constraints. Thus, the review offers numerous recommendations for research and development of the cutting‐edge optimized energy management system applicable for homes, buildings, industries, electric vehicles, and the whole community.

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Implementation of a demand elasticity model in the building energy management system

Cited by 7 publications

References 7 publications

Energy Flexometer: Transactive Energy-Based Internet of Things Technology

Energy Flexometer: Transactive Energy-Based Internet of Things Technology

A New Concept of Active Demand Side Management for Energy Efficient Prosumer Microgrids with Smart Building Technologies

Energy management system for smart grid: An overview and key issues

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