Investigation and Development of IoT Based Solutions for Implementation the Cloud Technologies in the Energy Systems Control

P. Yakimov; A. Iovev

doi:10.1515/itc-2017-0032

Investigation and Development of IoT Based Solutions for Implementation the Cloud Technologies in the Energy Systems Control

Information Technologies and Control ◽

10.1515/itc-2017-0032 ◽

2017 ◽

Vol 15 (4) ◽

pp. 10-15

Author(s):

P. Yakimov ◽

A. Iovev

Keyword(s):

Electric Energy ◽

Energy Systems ◽

Energy System ◽

Information And Communications Technologies ◽

Energy Management Systems ◽

Home Energy Management ◽

Systems Control ◽

Expected Benefits ◽

Measurement And Control ◽

Cloud Technologies

Abstract The paper considers the possibilities for implementation the Cloud technologies in the energy systems control and the expected benefits from this. The trends in the electric energy systems development and the challenges in front of the control are summarized. It is obvious that the introduction of information and communications technologies is unavoidable in order to achieve the main goals – effective, reliable, sustainable and safe operation of the energy system. A possible scenario is the development of a modern metering infrastructure based on smart sensor networks. Development and implementation of Internet of Things oriented solutions is expected to help the introduction of Cloud computing in the industrial and home energy management systems. Two models of IoT based solutions are explained. They consider the approaches for Internet connectivity of modern and legacy measurement and control equipment. Experimental results are given.

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Investigation on Optimal Electric Energy Storage Capacity to Maximize Self-Consumption of Photovoltaic System

Journal of Energy Resources Technology ◽

10.1115/1.4052732 ◽

2021 ◽

pp. 1-32

Author(s):

Ruda Lee ◽

Hyomun Lee ◽

Dongsu Kim ◽

Jongho Yoon

Keyword(s):

Renewable Energy ◽

Energy Storage ◽

Electric Energy ◽

Energy Systems ◽

Energy System ◽

Measured Data ◽

Photovoltaic System ◽

Analysis Tool ◽

Pv System ◽

Renewable Energy Systems

Abstract Battery systems are critical factors in the effective use of renewable energy systems because the self-production of electricity by renewables for self-consumption has become profitable for building applications. This study investigates the appropriate capacity of the Battery Energy Storage System (BESS) installed in all-electric zero energy power houses (AEZEPHs). The AEZEPH used for this study is a highly energy-efficient house. Its criteria indicate that all the electrical energy within the home is covered based on the generated electricity from on-site renewable energy systems, including that the annual net site energy use is almost equal to zero. The experiment for measured data of electricity consumed and generated in the buildings is conducted for a year (i.e., Jan. through Dec. 2014). Based on the measured data, patterns of the electricity consumed by the AEZEPH and generated by an on-site renewable energy system (i.e., photovoltaic (PV) system), and BESS's appropriate capacity is then analyzed and evaluated using the EES analysis tool, named Poly-sun. This study indicates that self-consumption can be increased up to 66% when the ESS system is installed and used during operating hours of the PV system. The amount of received electricity during the week tends to be reduced by about two times.

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What Will Make Energy Systems Sustainable?

Sustainability ◽

10.3390/su10072537 ◽

2018 ◽

Vol 10 (7) ◽

pp. 2537 ◽

Cited By ~ 2

Author(s):

Angela Köppl ◽

Stefan Schleicher

Keyword(s):

Value Chain ◽

Electric Energy ◽

Energy Systems ◽

Spillover Effects ◽

Energy System ◽

Radical Change ◽

Primary Energy ◽

Lessons Learned ◽

Sustainable Energy Systems ◽

Development Goals

Despite the success of the German Energiewende in increasing the production of electricity from renewables and the positive global spillover effects of renewable technologies, one of the lessons learned is the insight that simply shifting to renewables and recommending improving energy efficiency is not sufficient to lower greenhouse gas emissions. Combined with the expected radical change of technologies, this requires a more profound understanding of our energy systems. Therefore, in contrast to many conventional energy economy approaches, we propose a deepened structural analysis that covers the full energy value chain from the required functionalities for mechanical, thermal and specific electric energy services via application and transformation technologies up to primary energy. This deepened structural approach opens and substantially enhances our understanding of policy designs that are compatible with the Paris Agreement and Sustainable Development Goals. We discover the essential role of four energy grids, namely for electricity, heat, gas, and information as the key for integrating all components of a newly structured energy system. Consequently, we conclude that policy strategies focusing on individual components of an energy system like shifting to renewables may, from a comprehensive perspective on more sustainable energy systems, prove even counterproductive.

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Sustainability Assessment of Solar Energy Systems

Solar Energy ◽

10.1115/isec2004-65140 ◽

2004 ◽

Author(s):

Naim H. Afgan ◽

Marina Jovanovic ◽

Maria G. Carvalho

Keyword(s):

Solar Energy ◽

Sustainability Assessment ◽

Social Indicators ◽

Electric Energy ◽

Energy Systems ◽

Energy System ◽

Photovoltaic System ◽

Evaluation Procedure ◽

Multi Criteria Evaluation ◽

Optimization Function

Solar energy systems are becoming potential option for numerous applications. It has been shown that the application of solar energy system is strongly dependent on criteria’s used in their evaluation. Single criteria evaluation of solar energy systems has shown its deficiency due to limited possibility to compare them with other potential options. In particular, present economic system is based on the econometric analysis with priority given to the optimum obtained by the economically justified optimization function. For this reason, it has become needed to introduce multi-criteria evaluation procedure in the assessment of solar energy system and its comparison with other potential options. This paper presents evaluation of the solar photovoltaic system and its comparison with other renewable energy system options for stand-alone application. In this evaluation following energy systems will be taking into a consideration: grid electric energy supply, wind energy system, gas turbine with cogeneration, small hydro energy system and solar photo-voltaic energy system. In the evaluation of these systems the multi-criteria evaluation procedure is used. The multi-criteria evaluation procedure will comprise a following criteria’s: economic, environmental, technological and social indicators. Each of indicators will be based on the sub-criteria which are defined in the paper. The sustainability index as the agglomeration function indicators will be used in the determination of the rating among the options under consideration. Special emphasize in evaluation is given to to the conditional priority of indicators leading to the investigation of the effect of the indicator priority to the finale rating among options.

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The District Heating in the Context of the Active Consumers Development in Smart Energy Systems

SCIENTIFIC JOURNAL “ACADEMIA ARCHITECTURE AND CONSTRUCTION” ◽

10.22337/2077-9038-2018-1-78-87 ◽

2018 ◽

pp. 78-87

Author(s):

Vladimir K. Averyanov ◽

Aleksey A. Melezhik ◽

Alexander S. Gorshkov ◽

Yury V. Yuferev

Keyword(s):

Electric Energy ◽

District Heating ◽

Energy Systems ◽

Energy System ◽

Smart Energy Systems ◽

Regulatory Impact ◽

The Status ◽

Model Of Management ◽

The Cost ◽

Community Facilities

The paper defines the main factors of the smart energy systems that influence on the district heating. Noted increase in the regulatory impact of electric energy system on the district heating and increase in roles of the distribution and consumption of thermal energy. Urban population and other consumers of energy become equal partners of the utilities and acquire the status of "active" consumers. The heating supply companies need to develop a new model of management of heating regimes with dynamic synchronization with energy system and "active" consumers. One of the most important conditions of the achievement of the cost reduction, reliability and quality increase in community facilities is active consumer's behavior.

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The University of Houston Electric Energy Systems Control Program

IEEE Transactions on Education ◽

10.1109/te.1978.4321237 ◽

1978 ◽

Vol 21 (3) ◽

pp. 197-202 ◽

Cited By ~ 3

Author(s):

Edgar C. Tacker ◽

Kwang Yun Lee ◽

Thomas D. Linton ◽

Charles W. Sanders

Keyword(s):

Electric Energy ◽

Energy Systems ◽

Control Program ◽

University Of Houston ◽

Systems Control ◽

The University

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Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques

Energies ◽

10.3390/en14185852 ◽

2021 ◽

Vol 14 (18) ◽

pp. 5852

Author(s):

Karol Bot ◽

Inoussa Laouali ◽

António Ruano ◽

Maria da Graça Ruano

Keyword(s):

Energy Management ◽

Branch And Bound ◽

Predictive Control ◽

Energy System ◽

Time Step ◽

Energy Management Systems ◽

Model Based ◽

Home Energy Management ◽

Iot Devices ◽

Home Energy Management System

At a global level, buildings constitute one of the most significant energy-consuming sectors. Current energy policies in the EU and the U.S. emphasize that buildings, particularly those in the residential sector, should employ renewable energy and storage and efficiently control the total energy system. In this work, we propose a Home Energy Management System (HEMS) by employing a Model-Based Predictive Control (MBPC) framework, implemented using a Branch-and-Bound (BAB) algorithm. We discuss the selection of different parameters, such as time-step, to employ prediction and control horizons and the effect of the weather in the system performance. We compare the economic performance of the proposed approach against a real PV-battery system existing in a household equipped with several IoT devices, concluding that savings larger than 30% can be obtained, whether on sunny or cloudy days. To the best of our knowledge, these are excellent values compared with existing solutions available in the literature.

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IoTivity Cloud-Enabled Platform for Energy Management Applications

IoT ◽

10.3390/iot3010004 ◽

2021 ◽

Vol 3 (1) ◽

pp. 73-90

Author(s):

Yann Stephen Mandza ◽

Atanda Raji

Keyword(s):

Energy Management ◽

Low Cost ◽

Peak Load ◽

Data Communication ◽

Management Systems ◽

Peak Shaving ◽

Energy Management Systems ◽

Cost Constraints ◽

Home Energy Management ◽

Cloud Technologies

In developing countries today, population growth and the penetration of higher standard of living appliances in homes has resulted in a rapidly increasing residential load. In South Africa, the recent rolling blackouts and electricity price increase only highlighted this reality, calling for sustainable measures to reduce overall consumption and peak load. The dawn of the smart grid concept, embedded systems, and ICTs have paved the way for novel Home Energy Management Systems (HEMS) design. In this regard, the Internet of Things (IoT), an enabler for intelligent and efficient energy management systems, is the subject of increasing attention for optimizing HEMS design and mitigating its deployment cost constraints. In this work, we propose an IoT platform for residential energy management applications focusing on interoperability, low cost, technology availability, and scalability. We addressed the backend complexities of IoT Home Area Networks (HAN) using the Open Consortium Foundation (OCF) IoTivity-Lite middleware. To augment the quality, servicing, reduce the cost, and the development complexities, this work leverages open-source cloud technologies from Back4App as Backend-as-a-Service (BaaS) to provide consumers and utilities with a data communication platform within an experimental study illustrating time and space agnostic “mind-changing” energy feedback, Demand Response Management (DRM) under a peak shaving algorithm yielded peak load reduction around 15% of the based load, and appliance operation control using a HEM App via an Android smartphone.

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