An event-driven building energy management system enabling active demand side management

Ożadowicz, A.; Grela, J.

doi:10.1109/ebccsp.2016.7605082

Cited by 22 publications

(22 citation statements)

References 46 publications

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“…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%

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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Section: Finite State Machinementioning

confidence: 99%

Energy Flexometer: Transactive Energy-Based Internet of Things Technology

et al. 2018

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“…A New paradigm in BACS networks based on these standards is the implementation of the IoT technology with IPv6 protocol [26], providing a direct data exchange between network's nodes on the field-level, regardless of communication medium type (fieldbus or IP channels). This opens a way for deeper and full integration as well as implementation of new BACS and BEMS control and monitoring functions [4,19,52,62].…”

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%

“…A demand value is one of the crucial parameters for organizing of BEMS with the active DSM. Two main goals of the DSM mechanism in respect to BIPMG applications are introduced in [15,17,19,32]: (i) to reduce electric energy consumption and improve energy efficiency of building by measure and monitoring power demand, active control of electric devices and other subsystems of building's infrastructure; and (ii) to match present RES generation levels and energy supply with real demand in microgrid, controlling the energy consumption of appliances and devices in buildings, depending on real-time signals from sensors, occupancy, time schedule as well as information from the supply grid-DSO (energy price-tariffs, energy reduction request). Various DSM strategies have been considered and proposed in numerous research and studies.…”

Section: Introductionmentioning

confidence: 99%

“…In the last decade, many of research and studies have been focused on developing of new functions and devices for the BEMS as well as various communication technologies have been considered to provide reliable connections and flexibility in the BACS field-level networks. In particular, in [19,25,53,[56][57][58][59], international, non-proprietary (open) standards dedicated for distributed building automation networks-EN 14908 (LonWorks) [60] and EN 13321 (KNX) [61]-have been proposed for the BEMS in microgrids and the SG. A New paradigm in BACS networks based on these standards is the implementation of the IoT technology with IPv6 protocol [26], providing a direct data exchange between network's nodes on the field-level, regardless of communication medium type (fieldbus or IP channels).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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An event-driven building energy management system enabling active demand side management

Cited by 22 publications

References 46 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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