Green Energy Management Research Articles

IoT driven framework based efficient green energy management in smart cities using multi-objective distributed dispatching algorithm

Nowadays, the concept of smart cities evolves from conceptual models to various stages of development. The smart services of cities like smart buildings, smart hospitals, smart traffic, smart factories, and smart transportation are vital to energizing resilient, reliable, seamless energy and electrical flow. One of these smart services' critical challenges is anticipated to run without disruptions using smart energy and smart electrical grids. Hence, in this research, the Internet of Things (IoT) role in green energy resources incorporation into smart electrical grids has been introduced using the Multi-Objective Distributed Dispatching algorithm (MODDA). Efficient energy management includes a tradeoff between the cost linked with utility function and energy consumption. The utility function can be the living comfort of the consumers or the utility firm's gross income. The interchanges between utility and energy consumption must, therefore, be recognized. The algorithm is intended to transmit the renewable green energy available to the battery, thermal, and load storing while preserving a thermal and battery storage limit. The experimental results at the lab-scale show the proposed dispatching algorithm minimizing the system cost and energy consumption. It is shown that substantial energy waste can be reduced by equipping a smart building with the proposed IoT system for effective green energy management.

An Efficient Deep Learning Framework for Intelligent Energy Management in IoT Networks

Green energy management is an economical solution for better energy usage, but the employed literature lacks focusing on the potentials of edge intelligence in controllable Internet of Things (IoT). Therefore, in this article, we focus on the requirements of todays' smart grids, homes, and industries to propose a deep-learning-based framework for intelligent energy management. We predict future energy consumption for short intervals of time as well as provide an efficient way of communication between energy distributors and consumers. The key contributions include edge devices-based real-time energy management via common cloud-based data supervising server, optimal normalization technique selection, and a novel sequence learning-based energy forecasting mechanism with reduced time complexity and lowest error rates. In the proposed framework, edge devices relate to a common cloud server in an IoT network that communicates with the associated smart grids to effectively continue the energy demand and response phenomenon. We apply several preprocessing techniques to deal with the diverse nature of electricity data, followed by an efficient decision-making algorithm for short-term forecasting and implement it over resource-constrained devices. We perform extensive experiments and witness 0.15 and 3.77 units reduced mean-square error (MSE) and root MSE (RMSE) for residential and commercial datasets, respectively.

Green resource allocation and energy management in heterogeneous small cell networks powered by hybrid energy

In heterogeneous networks (HetNets), how to improve spectrum efficiency is a crucial issue. Meanwhile increased energy consumption inspires network operators to deploy renewable energy sources as assistance to traditional electricity. Based on above aspects, we allow base stations (BSs) to share their licensed spectrum resource with each other and adjust transmission power to adapt to the renewable energy level. Considering the sharing fairness among BSs, we formulate a multi-person bargaining problem as a stochastic optimization problem. We divide the optimization problem into three parts: data rate control, resource allocation and energy management. An online dynamic control algorithm is proposed to control admission rate and resource allocation to maximize the transmission and sharing profits with the least grid energy consumption. Simulation results investigate the time-varying data control and energy management of BSs and demonstrate the effectiveness of the proposed scheme.

Research on Green Energy Management Mechanism from the perspective of social network

Energy is an important material basis for the survival and development of human society, which determines the quality of national economic development and people’s quality of life.Energy shortage and environmental pollution have always been the two major problems that human beings face for a long time. Green energy management is extremely urgent. It is of great practical significance to develop green energy management from the perspective of social network.This paper finds that through the reform of energy system, strengthening the construction of system innovation, giving full play to the capacity of social collaborative governance, realizing network management through structural positioning and active role, and making full use of energy internet information technology to improve the capacity of technological innovation can significantly improve the capacity of green energy management reform in chian.

Green energy management in India for environmental benchmarking: from concept to practice

PurposeThis study examines various aspects of green energy management operations in India and reports the current state, potential avenues and barriers for green energy management.Design/methodology/approachThis study performs an extensive literature review and covers the several aspects of green energy management operations.FindingsThe findings report the current state of various aspects of green energy management operations such as: procurement, manufacturing and distribution and provides the viable business models. It further explains the various facilitators and barriers of green energy management and reports the opportunities and challenges that exist in developing and managing green energy supply chain.Originality/valueThe study is pioneer in providing a comprehensive view of developing and managing green energy operations in India. The study is useful to various organisations on drafting strategies to effectively adopt and manage green energy. The study is also useful in policy formulation for promoting green energy use. This article also set as a base for future researchers working in the area of green energy.

ENERGY MANAGEMENT BY USING LITHIUM-ION BATTERIES, PIEZO MATERIALS, SENSORS AND RENEWAL ENERGY SYSTEM IN THE DAILY LIFE: A REVIEW

In the modern technological era there is lot of demand of energy in daily day to day life since from the beginning of the day to night, continuously. With the increase of people and technological development the energy consumption rate is also increasing drastically. The proper energy utilization, energy saving and switch to alternate renewal energy is the social responsibility and liability of each individual person to save guard the world available non renewal energy and global warming. Energy management and optimum energy utilization can be done by using various materials. Some of the important materials are as lithium-ion batteries to run electronic and mechanical devices such as laptop battery, mobile battery, camera battery, portable charger, rechargeable batteries, electric car, material handling devices by using lithium-ion batteries ( such as forklift, robot, drone etc.), trimmer machine, grass cutting machine, refrigeration system etc. While the piezo electric materials can be use for automatic cut off electric supply system when there is no demand in unmanned area reason. Renewal energy sources such as solar cell to generate electricity, water heating, car power supply system, solar cooker is also under research and implementing dynamically in most of the cities and in rural areas to utilize free Solar energy to reduce down power plant load by one time investment. Wind turbines of vertical as well as horizontal type is also being installed in the cities, in the building roofs, road divider area, rural available space area is being popularly used with the Government interference and encouragement to use available free renewal energy resources to maintain clean and green energy management system in the urban as well as rural area.

Prediction and management of solar energy to power electrochemical processes for the treatment of wastewater effluents

A highly versatile software tool able to predict and manage the solar power coming from photovoltaic panels and to assess the environmental remediation of wastewater effluents has been developed. The prediction software tool is made up of four modules. The first one predicts the solar radiation by a phenomenological model. Secondly, an energy optimization algorithm manages the solar power towards the third and fourth modules, an environmental remediation treatment (electrooxidation) and an energy storage system (redox flow battery), respectively. The software tool is aimed to the best solar power management to obtain the highest remediation treatment. Results shows a daily solar radiation prediction with a high accuracy, attaining correlation coefficients of 0.89. Furthermore, the prediction of the removal of an organochlorinated compound from a wastewater effluent at different time of the year was studied. Different percentages of the total solar power are sent directly to the electrooxidation reactor and to the redox flow battery. At non-solar production hours, the electrooxidation reactor is powered by the redox flow battery in order to exploit the total solar power produced. The results show that, the higher the solar radiation, the higher the power percentage that must be directly sent to the electrooxidation treatment in order to attain the best energy management and the higher remediation. Thus, an 82.5% of the total solar power must be sent to the electrooxidation treatment in summer days in contrast to the 25% that have to be powered in winter days to attain the highest removal of pollutant.Consequently, it is important to evaluate the connection between devices to get the best green energy management and the lower energy losses.

Effective Ecological and Cheap Heating of Dwelling Spaces

The sustainability of human civilization depends largely on green energy management. This work represents one way to achieve this goal. The work is devoted to converting microwave radiation to heat. The article analyses different ways of heating residential and utility areas. Materials suitable for converting microwave radiation to heat from ceramic composites, concretes, fire clays, and bauxite with water glass are enclosed. For all materials we have measured DTA/TG (Differential Thermal Analysis/Thermogravimetric Analysis) curves, XRD (X-Ray Diffraction) patterns, chemical composition of samples, the specific heat capacity cp [J/kg.K], thermal conductivity k [W/m.K] and diffusivity α [m2/s-1]. The cooling curves of these materials after microwave heating are characterized in detail. The paper also presents a description and construction of a microwave reactor together with the parameters of the living space heating.

Preface

Welcome to Bali, Indonesia to all delegates and presenters. It is my pleasure and privilege to welcome all of you to the 2nd (second) International Conference on Informatics, Technology, and Engineering 2019 (InCITE 2019) held by the Faculty of Engineering, University of Surabaya (UBAYA) in collaboration with The University of Adelaide, Australia and Sirindhorn International Institute of Technology (Thammasat University), Thailand.InCITE 2019 has received more than 75 papers to be presented in this conference. All papers represent four following parallel clusters: Green Design and Innovation, Green Manufacturing and Green Processes, Power System and Green Energy Management, and The Role of IT in Innovation Enhancement. Each cluster supports the main theme of the conference, which is Enhancing Engineering Innovation Towards A Greener Future. The engineering innovation is the key to increase our awareness in maintaining the sustainable growth and development in the world.The Organising Committee of InCITE 2019 would like to express our sincere gratitude for the tremendous supports and contributions from many parties. The supports from The Faculty of Engineering of UBAYA, keynote and plenary speakers, our International Scientific Committee, the Steering and Organising Committees are really acknowledged.The last but not the least, thank you for your supports, enjoy the conference and we hope through this meeting all of you can extend your networks and collaborations.Asst. Prof. Putu Doddy Sutrisna, Ph.D.Preface, Welcome Remarks, Chair of The Organizing Committee, Conference Organizers, SCIENTIFIC COMMITTEE, Conference Organizers, STEERING COMMITTEE, ORGANIZING COMMITTEE, Conference Organizers, REVIEWER, Conference Photographs and all the title are include in this pdf.

Optimal green energy source selection: An eclectic decision

Various researchers have suggested many qualitative and quantitative criteria for green energy management, which are mostly operational in nature and specific to a particular application. The main aim of this investigation is to develop an innovative integrated analytical framework as a benchmark for selecting the optimal green energy source under various sustainable dimensions. Nine major areas likely; energy management, source selection, environmental dimension, social dimension, economic dimension, technical dimension, institutional dimension, sustainability and importance measurement have been considered for this study. The proposed framework for green energy source selection is relatively innovative as the various key factors are integrated for sustainability level of constructs (environmental, social, economic, technical and institutional) with expert judgment levels (both strategic and tactic). The framework helps to identify the optimum green energy source (solar energy) for cleaner future using analytical hierarchy process. The research can potentially help energy managers, policy makers as well as decision makers to measure and improve the utilization of green energy sources for sustainable future.

Intelligent Edge Computing for IoT-Based Energy Management in Smart Cities

In recent years, green energy management systems (smart grid, smart buildings, and so on) have received huge research and industrial attention with the explosive development of smart cities. By introducing Internet of Things (IoT) technology, smart cities are able to achieve exquisite energy management by ubiquitous monitoring and reliable communications. However, long-term energy efficiency has become an important issue when using an IoT-based network structure. In this article, we focus on designing an IoT-based energy management system based on edge computing infrastructure with deep reinforcement learning. First, an overview of IoT-based energy management in smart cities is described. Then the framework and software model of an IoT-based system with edge computing are proposed. After that, we present an efficient energy scheduling scheme with deep reinforcement learning for the proposed framework. Finally, we illustrate the effectiveness of the proposed scheme.

Clean Energy Policy, Planning and Management: Gearing up the Rapid Economic Growth and Sustainable Development in Nepal

Sustainability agenda has been gaining extensive concentration as one of the major development paradigm in modern era. Rapid economic growth, social development, sustainability and poverty reduction have been considered as crucial discourse under that paradigm. With the world-wide wave of economic development and improved traditional living standard of people, consumption of fuel has also increased significantly. Exponential growth in use of fossil fuel and its impacts compelled to search for alternative energy sources. Green energy is that source of energy that is naturally restocked. Nepal is rich enough country for renewable energy sources even though, could not accelerate growth and development agenda. Appropriate policy, planning, and management of green energy would help to give a big push to break development hazards and would contribute for takeoff for sustainable development and poverty reduction strategies. This paper attempts how green energy policy, planning and management would contribute for gearing up for sustainable development and poverty reduction in Nepal. It is an endeavor to scrutinize and understand the green energy utilization, proper management and exploring the capacity of the Nepalese economy. Findings of the study conclude that, instead of fossil energy, renewable energy utilization contributes for transferring poor livelihood and its sustainability.

Implementation of Intelligent Green Energy Management System

In this work, we mainly apply the cloud infrastructure (IaaS) and virtualization technology to provide the construction services of a green energy management system. First of all, we used MySQL Cluster database technology to build a data storage system which can solve the challenge of large demand. Digital electricity meter data and environmental information are collected efficiently and quickly in the proposed green energy management system. Next, a virtualized user-interface is provided by graphical presentation to facilitate data analysis. Finally, we control the electricity equipment to reduce Power Usage Effectiveness (PUE) and the overall power consumption target-based on this virtualized user-interface of the data analysis.

2018 International Conference on Civil and Hydraulic Engineering (IConCHE 2018)

PrefaceThe 2018 International Conference on Civil and Hydraulic Engineering (IConCHE 2018) will be held on November 23-25, 2018 in Qingdao, China, which aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects related to civil and hydraulic engineering. This year, IConCHE 2018 is co-organized by the University of Auckland, New Zealand, the Qingdao Science and Technology Association and Monash University, Australia. Prof.Soon-Thiam Khu (Monash University, Australia) and Prof.Christos Makropoulos (National Technical University of Athens, Greece) will be the keynote speakers of the conference. IConCHE 2018 presents a collection of high quality research articles and presentations that address broad challenges on both theoretical and application aspects of civil and hydraulic engineering. Colleagues will be invited to contribute original research articles as well as present the latest research outputs that will stimulate the continuing effort on the application of civil and hydraulic engineering. In this edition, IConCHE 2018 is providing a venue of high quality state-of-the-art research papers in the following areas of interest:1. Civil, Hydraulic Engineering and Facilities2. Physical and Chemical Properties of Materials3. Reliability, Durability and Safety4. Green Technology, Energy Management and Environment5. Traffic Engineering and Transportation System

Energy-agile design for parallel HPC applications

While there has been significant prior research on improving the energy-efficiency of parallel applications, there has been much less on optimizing them for green energy sources, which expose rapid changes in power's availability (or cost) due to the use of local renewable energy (or utility demand response programs). In this article, we present energy management policies that utilize active and inactive power capping to improve the performance of rigid and elastic parallel tasks when subject to variable power constraints from green energy sources. We deploy our policies on a real cloud testbed, and evaluate the performance with three different parallel applications. Our results demonstrate the effectiveness of green energy management policies with variable power. For example, we show that a reference supercomputer benchmark application requires 17% more time and 9% more energy to complete when power varies based on real-time electricity prices versus when power is unlimited at a fixed price; however, since the real-time spot market prices are lower than fixed prices, the total electricity cost of our best energy management policy when using real-time prices is 67% less than when using fixed prices.

Green Technologies and Energy Management as Influential Issues in the Environmental in Libyan Society

With the rapid development of technology, homes and institutions have become full of electronic devices such as computers, mobile phones and printers. It was necessary to have concepts and solutions to ensure that they do not adversely affect the environment in the community. Therefore, the concept of g (Green Information Technology) or green computing (Green Computing). In this paper, green computing has been introduced as a modern concept of sustainable development because of its importance in preserving the environment and presenting the solutions and technologies used, their objectives and basic components, and their important role in environmental sustainability. By answering the following questions: What is green computing and what are its components and objectives? Where the researchers conducted a field study directed to the faculty members of the University of Benghazi to measure the awareness of the culture of green computing in the Libyan society, and the proportion of the use of green computing techniques well. At the end of the study, the results of the study showed accurate and satisfactory rates of good awareness of the dangers of non-management of energy consumption and the widespread use of green computing techniques. Through these results, recommendations and initiatives have been reached to activate this concept in our society. The most important of these are the launching of awareness programs on the concepts of sustainable development, in particular the techniques and software of green information technology, through the use of various media, the development and upgrading of faculty members and support research and development programs in the field of The application of green information and communication technology, awareness raising among all segments of the information and communication society on the importance of energy conservation, the Implementing projects for the reuse and disposal of electronic waste in a safe manner and the use of recycled computers and old phones. Keywords Green technology, green computing, environmental sustainability.

Green Energy Management of the Energy Internet Based on Service Composition Quality

The realization of dynamic service combinations to meet the requirements of green energy management and match supply and demand has become a large problem in the energy Internet (EI). We propose a method of service combination for quality-oriented green energy management of the EI, introduce the most economical control theory, and set the service quality obtained from unit energy consumption as the most economical objective control function to realize a Pareto-efficient energy service management configuration of the EI under quality of service demands. Then, this paper introduces a multi-objective dragonfly algorithm that takes advantage of rapid convergence to solve the model. A back propagation neural network is adopted to train the model and obtain a multi-objective parameter weight configuration to accommodate measured data. The experimental results show that this method can efficiently determine service combinations for an economical, quality-oriented EI and green Pareto-efficient energy management.

Green Construction Project: A Critical Review of Retrofitting Awarded Green Buildings in Malaysia

Technical-centered issues have gained far more importance in green building construction, however, the role of less technical related issues still have been left untouched or less paid attention. The project management processes and practices can contribute here and this research provides frontiers and boundaries of scope to bridge the technical and engineering areas in green building construction to project management practices and processes. Therefore, the project management researchers will have a broad view of the green building research areas. The study draws attention to investigate a position of project management, which is less associated with engineering and technology in construction, and to represent a framework based upon the case of successfully accomplished buildings. The current contribution and scope of green building, energy and project management are clarified. A semantic clustering analysis of the boundaries is implemented. 51 articles with the high impact factor (above 2.7) are selected and empirically reviewed. A literature synthesis approach is presented. Therefore, the findings are classified, and the assessment of evidence around the topics of energy scenario, green building and retrofitting, and cases of three awarded green buildings in Malaysia are facilitated. Derived from the structuralized empirical review, four core factors of retrofitting are identified: a) Energy efficiency improvement; b) Technological change; c) Organizational/managerial challenges, and d) Behavioural change. The contemplations of findings are suggested to be considered as crucial factors for every retrofitting building can be compared and discussed with respect to each of these categorized factors for enthusiast project management scholars. Green building and retrofitting of the existing green buildings have been a centre of attention for a decade. However, it appears that there is no current study which has been conducted to critically review and empirically study of previous research endeavours in order to define the frontiers and boundaries of the scope of this scientific sphere.

A decision support system to evaluate the optimum fuel blend in an IC engine to enhance the energy efficiency and energy management

The demand for the energy has increased drastically as a result of the rapid growth in industrialization, urbanisation and higher standard of living. One such potential substitute to fossil fuels is biodiesel that ensures sustainable energy source. The selection of appropriate source of biodiesel and proper blending of biodiesel plays a major role in alternate energy production. In the present work, a novel hybrid Multi Criteria Decision Making (MCDM) technique was proposed to evaluate and select the optimum fuel biodiesel blend for the IC engine with conflicting criteria to enhance the energy efficiency. Exploratory analysis were carried out on a single cylinder four stroke, air cooled, constant speed, direct injection diesel engine with a rated output of 4.4 kW at 1500 rpm at different loads. Two hybrid MCDM models, namely Fuzzy TOPSIS and Fuzzy VIKOR were proposed. Fuzzy was applied to determine the relative weights of the evaluation criteria whereas TOPSIS and VIKOR were applied to obtain the final ranking of alternatives. Diesel, B20, B40, B60, B80 and B100 fuel blend alternatives are prepared by varying the proportion of biodiesel for MCDM model. Similarly BTE, MRPR, NOx, CO2, CO, HC, SMOKE, ID, CD and Exhaust gas temperature were considered as the evaluation criteria. The ranking order by Fuzzy TOPSIS is based on closeness coefficient and Fuzzy VIKOR is based on VIKOR index. In Fuzzy TOPSIS, B40 stands first at 50% and 75% load conditions and second at 25% and full load conditions respectively. In Fuzzy VIKOR, B40 stands first at 25% and 50% conditions and second at no load, 75% and full load conditions respectively. The ranking of alternatives as obtained by both Fuzzy-TOPSIS and Fuzzy-VIKOR is B40 > B20 > Diesel > B80 > B60 > B100 and B40 > B20 > Diesel > B60 > B80 > B100. From the results, it was observed that both the methods indicated that B40 is the best blend to operate the engine. Hence, it is concluded that mixing 40% biodiesel with diesel is suggested as a good partial replacement for diesel. This paper highlights a new insight into MCDM techniques to evaluate the best fuel blend for the decision makers such as engine manufactures and R& D engineers to meet the fuel economy and emission norms to empower the green revolution and energy management.

Enterprise Energy Analytic Cloud Metering Portal for On-Demand Service Provisoning

Background/Objectives: The absence of cloud based deterministic energy consumption update information usually discourages electricity consumers from satisfying their obligations to energy service providers. This work aims at achieving cloud based demand side management on consumer smart meters. Methods/Analysis: Disruptive smart green energy management system (DSGEMS) is used to formulate new flexibilities in automated energy monitoring platform for both end-users and their utility vendors. Lean system approach involving software development life cycle framework is applied. Findings: The system created a pattern analytics that allows users to obtain exact consumption pattern daily, monthly and yearly, using a negligible cost reflective tariff of 0.17 as derived from a renewable metered micro-grid. Applications/Improvements: The proposed system contrasts with existing systems in terms of full ISO 14000 quality of service compliance metrics and on-demand/real time consumption profiling. To validate service provisioning in real time, metering simulation and cloud integration are employed. This solution provides real-time access to energy consumption information at the point of metering leveraging cloud driven internet. Keywords: Cloud Service Provisioning, Disruptive Technologies, Energy Analytics, Energy Management, Smart Metering