Personal Energy Management Research Articles

Personalized Services for Smart Grids in the framework of Society 5.0: A Smart University Campus Case Study

The evolution of the power grid towards a Smart Grid is a crucial aspect of the transformation of society towards the so-called Society 5.0, where human-centered technology is the key to address social challenges. This paper proposes a personalized service approach for Smart Grids within the Society 5.0 framework, which aims to provide a personalized energy management service to consumers through advanced sensing technologies, intelligent algorithms, and social and contextual data. Furthermore, the paper highlights the potential of personalized services in the Smart Grid context and their relevance in the Society 5.0 framework and proposes an Architecture for the design and deployment of personalized energy management services in other Smart Grid contexts. In this approach end-users play an active role in the design and deployment of personalized energy management services. The proposed methodology is tested and evaluated in a Smart University Campus case study. The results indicate energy management improvement and energy consumption reduction.

Optimizing Home Energy Usage: HEMS-IoT Integration with Big Data and Machine Learning

The goal of this project is to optimize household energy consumption by combining machine learning (ML), big data analytics, and the Internet of Things (IoT) with household Energy Management Systems (HEMS). The primary goals are to assess how well HEMS-IoT integration contributes to cost savings, environmental sustainability, and energy efficiency in residential contexts. The methodology includes a thorough analysis of current literature, real-world case studies, and experimental results to examine the advantages, restrictions, and policy implications of HEMS-IoT integration. Among the key findings are personalized energy management, cost savings, increased energy efficiency, and home behavioral changes. Policy implications emphasize how crucial it is to address issues with fairness, data privacy, accessibility, and interoperability through proactive regulatory frameworks and policy interventions. The study highlights how HEMS-IoT integration can revolutionize residential energy efficiency and move us closer to a more robust and sustainable energy ecosystem.

Advanced metering infrastructure for low voltage distribution system in smart grid based monitoring applications

Smart grid system is an emerging technology used for solving the issues associated with power and energy. Smart grid system is known to be an automatic network, ensuring power with the transfer of information and electricity between the power plants and household appliances. However, there is a lack in the data flow about the voltage distribution stability, accuracy and applicability. So, the advanced metering infrastructure, personal energy management and Information Technology are overviewed in this model. The features of smart meter enable the advanced metering infrastructure monitoring and investigates low-voltage (LV) network. This is achieved by optimal state, in which the power quality and outage data is transferred by the distribution network from smart meters to the control center. In this model, the smart grid architecture is mapped with optimal states to observe the LV network processing. Recursive Karhunen–Loéve Transform Grid state optimization Model (RK-LTGM) is proposed in this paper for ensuring the usage of new data and narrow down the variations in estimator range. The proposed model is robust against the network loss. Dimension Reduction Estimation Model Probabilistic Loss (DREM-PL), Korhonen Estimation Model (KEM) and Constant Network Loss Rate Estimation Model (CNLREM) are the three state-of-art methods considered for comparing this model. Recursion Least Squares (RLS) and Damped Recursion Least Squares (DRLS) are the index parameters considered in the proposed method. The proposed Recursive Karhunen–Loéve Transform Grid state optimization Model (RK-LTGM) helps in exchanging information in multilevel smart grid, allowing Smart meter to utilize the information to obtain the high quality best technological and economical solution for every consumer. It is found that the proposed RK-LTGM achieves 0.112 % of RMSE, 0.156 % of network loss rate, 56.124 % of success rate under RLS condition, 0.067 % of RMSE, 0.137 % of network loss rate and 88.739 % of success rate under DRLS condition.

Prediction of thermal conductivity of micro/nano porous dielectric materials: Theoretical model and impact factors

With the stupendous latent of microscale and nanoscale technologies in energy conversion and utilization, the design and analysis of porous dielectric materials with open cells have required a more accurate calculation of the radiative thermal conductivity. This work introduces a mathematical model to accurately calculate the radiative thermal conductivity of micro/nanoscale porous open cell structures. Due to the limitations of the existing radiative thermal conductivity models, a full-scale method based on the Rosseland diffusion equation is proposed. Combining this full-scale Rosseland diffusion equation and fractal thermal conduction methods, the predicted total thermal conductivity values were well matched with the experimental results for various microscale and nanoscale porous open cell dielectric materials, with less than 15% error. Besides, seven influential factors on the thermal conductivity including cell size, porosity, cellular pore shape, volume specific surface area, temperature, refractive index, and extinction index were extensively investigated. The results show that the thermal conductivity of porous open cell materials mainly decreased with an increase in extinction index and/or the porous structure's volume specific surface area but increased with increase in temperature. This certainly indicated the potential of the full-scale Rosseland diffusion method for use in the design of specific micro/nanoscale porous dielectric structures like polymer foam in the personal energy management device or the silica aerogel in radiative cooling system.

Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings.

Considering that the largest part of end-use energy consumption worldwide is associated with the buildings sector, there is an inherent need for the conceptualization, specification, implementation, and instantiation of novel solutions in smart buildings, able to achieve significant reductions in energy consumption through the adoption of energy efficient techniques and the active engagement of the occupants. Towards the design of such solutions, the identification of the main energy consuming factors, trends, and patterns, along with the appropriate modeling and understanding of the occupants’ behavior and the potential for the adoption of environmentally-friendly lifestyle changes have to be realized. In the current article, an innovative energy-aware information technology (IT) ecosystem is presented, aiming to support the design and development of novel personalized energy management and awareness services that can lead to occupants’ behavioral change towards actions that can have a positive impact on energy efficiency. Novel information and communication technologies (ICT) are exploited towards this direction, related mainly to the evolution of the Internet of Things (IoT), data modeling, management and fusion, big data analytics, and personalized recommendation mechanisms. The combination of such technologies has resulted in an open and extensible architectural approach able to exploit in a homogeneous, efficient and scalable way the vast amount of energy, environmental, and behavioral data collected in energy efficiency campaigns and lead to the design of energy management and awareness services targeted to the occupants’ lifestyles. The overall layered architectural approach is detailed, including design and instantiation aspects based on the selection of set of available technologies and tools. Initial results from the usage of the proposed energy aware IT ecosystem in a pilot site at the University of Murcia are presented along with a set of identified open issues for future research.

Managing Energy: A Team in Crisis

Volatility can emerge in any working group, particularly in a flat hierarchy with no established leader; add diversity and exhaustion to the mix, and a group is vulnerable to buckling under the pressure of its own goals. This fictional account of a contentious learning team at a business school dramatizes both the words and thoughts of the participants as frictions lead them to consider disbanding. It provides a means of discussing the nature of leadership among peers and in particular the critical but easily overlooked role of personal energy management––mental, physical, and emotional; even when the strengths of diversity are leveraged proactively, interpersonal interaction still requires a significant reservoir of positive energy, whereas its depletion can sabotage even the best of intentions.

Managing Energy: A Team in Crisis

Volatility can emerge in any working group, particularly in a flat hierarchy with no established leader; add diversity and exhaustion to the mix, and a group is vulnerable to buckling under the pressure of its own goals. This fictional account of a contentious learning team at a business school dramatizes both the words and thoughts of the participants as frictions lead them to consider disbanding. It provides a means of discussing the nature of leadership among peers and in particular the critical but easily overlooked role of personal energy management--mental, physical, and emotional; even when the strengths of diversity are leveraged proactively, interpersonal interaction still requires a significant reservoir of positive energy, whereas its depletion can sabotage even the best of intentions. Excerpt UVA-OB-1023 Jul. 12, 2011 MANAGING ENERGY: A TEAM IN CRISIS October 16, 2005 Laila, a first-year student at the Darden School of Business, was not given to pacing. She did not like to ruminate either. She preferred to think and act in a linear fashion—from point A to point B. When faced with a recurring problem, she therefore did not walk back and forth, covering the same old ground repeatedly. Instead, she wandered. She was currently walking the second floor hallway of the classroom building and avoiding her learning team (LT62), which was due to meet in several minutes. Laila was unsure if she wanted to remain in the group. It was mid-October, and the first set of exams was right around the corner. In only two weeks' time, she'd be alone with her laptop and a stack of four-hour tests, and she needed the next two weeks to study. LT62 had been a drain on Laila since the start, and she wasn't sure it would benefit her grades to continue to spend her precious evening hours studying with these people. She had found other women with whom she felt much more of a common bond, both in terms of working style and personal level of comfort—when they studied together, Laila left feeling both helped and helpful. With her outside study group, Laila always learned something, whereas with LT62, that was often not the case. She ducked into one of the second-floor bathrooms and tried to compose herself so she could make a logical decision. . . .

Assessment of the Social Electricity Online Platform Tools and their Potential Impact on European Citizens

Through the Social Electricity Online Platform (SEOP) European project, various learning modules, educational content and online eco-feedback platforms have been developed, to raise the awareness and knowledge of citizens about energy, the environment and sustainability. The platform allows European citizens to become educated on energy-saving practices and techniques, including the use of renewable technologies at their home. Moreover, through the Social Electricity application, people may become aware of their electrical energy consumption by means of comparisons with the corresponding electrical consumption of their friends, as well as with the total consumption in the street, neighbourhood, village, city and country where they live, in a collaborative and social environment. In this paper, a pilot study performed in 8 European countries involving more than 300 European citizens is presented, in order to demonstrate the influence of online learning modules and eco-feedback platforms on the everyday lives of people, in terms of rational energy use and energy savings. In this pilot, participants have been divided into two groups: the one uses the four learning modules of the platform and then the Social Electricity application, whereas the latter uses only the application. This paper describes our overall findings after three months, exploring the completeness and educational value of the learning modules, and the potential of Social Electricity as an effective online tool for personal energy management. The results also evaluate the impact, behavioural change and the increase on energy awareness among the two groups, as well as the general effectiveness and acceptance of the platform.DOI: http://dx.doi.org/10.5755/j01.sace.16.3.15803

Learning based personalized energy management systems for residential buildings

This investigation presents a personalized energy management system (PEMS) for heating, ventilation and air-conditioning (HVAC) systems in residential buildings based on economic model predictive control (EMPC) integrated with occupancy and occupant behaviour. The major building blocks of the PEMS are: weather forecasting tool, occupancy predictor, occupant behaviour model, cost-generator, and Economic Model Predictive Controller (EMPC). The occupancy is modelled using Hidden Markov Model (HMM), whereas Adaptive Neuro Fuzzy Inference System (ANFIS) is used to model the occupant behaviour. The cost generator computes the energy cost as the sum of personalized costs computed by using ANFIS model, time-of-use charges predicted from load-curve information, and fixed energy cost. The EMPC optimizes the energy consumption using a constrained optimization routine including the comfort margins specified by the occupant in a receding horizon manner. Performance of the PEMS is illustrated using experiments on a laboratory scale HVAC system. Our results show that the proposed controller not only reduces the energy consumption by 9.7–25%, and cost (from 8.2% to 18.2%), but also maintains the temperature within the personalized comfort band. The novelty of the proposed approach is the integration of demand response, occupancy and occupant behaviour within the PEMS framework. As a result, the proposed controller reduces energy, cost and peak-demand.

Fluoroalkylsilane-Modified Textile-Based Personal Energy Management Device for Multifunctional Wearable Applications.

The rapid development of wearable electronics in recent years has brought increasing energy consumption, making it an urgent need to focus on personal energy harvesting, storage and management. Herein, a textile-based personal energy management device with multilayer-coating structure was fabricated by encapsulating commercial nylon cloth coated with silver nanowires into polydimethylsiloxane using continuous and facile dip-coating method. This multilayer-coating structure can not only harvest mechanical energy from human body motion to power wearable electronics but also save energy by keeping people warm without losing heat to surroundings and wasting energy to heat empty space and inanimate objects. Fluoroalkylsilanes (FAS) were grafted onto the surface of the film through one single dip-coating process to improve its energy harvesting performance, which has hardly adverse effect to heat insulation and Joule heating property. In the presence of FAS modification, the prepared film harvested mechanical energy to reach a maximum output power density of 2.8 W/m(2), charged commercial capacitors and lighted LEDs, showing its potential in powering wearable electronics. Furthermore, the film provided 8% more thermal insulation than normal cloth at 37 °C and efficiently heated to 40 °C within 4 min when applied the voltage of only 1.5 V due to Joule heating effect. The high flexibility and stability of the film ensures its wide and promising application in the wearable field.

Personalized Energy Management Systems for Home Appliances Based on Bayesian Networks

In Japan, the electricity consumption of household domestic appliances is increasing. The introduction of the demand response (DR) framework will promote electricity consumption reductions in the household sector by limiting electricity usage and by regulating the price of electricity. Because the appropriate operation patterns differ for each user under the DR programme, a home energy management system (HEMS) will play an important role by considering the priority of various home appliances and by appropriately modifying appliance operations to minimize the impact on a user’s lifestyle. In this study, HEMS based on the Bayesian network is proposed; the system will learn the behaviour of a user and prioritize the operation of home appliances under restrictions on electricity consumption.

An Overview of Smart Grid Technology with its Present Situation and Anticipation in the Asian Region

Smart grid system is considered to be an important aspect in order to solve power issues and energy crisis. To explain smart grid technologies and the redistribution of smart grid in Asian region is the goal of this paper. The article gives an idea of the difficulties of present electricity grid and the possible ways of solving these difficulties using the vision of smart grid. The paper allows us to identify the comparison between the conventional grid system and the smart grid system. The essence of this vision is “a fully automated power delivery network that can ensure a two-way flow of electricity and information between the power plants and appliances and all points in between”. It also provides the overview of Advance metering infrastructure, Personal energy management and Information Technology, which are the driving technological components of smart grid. The further explanation is about the comprehensive analysis of marching and upcoming projects as well as technologies on Smart Grid in Asian region. Finally, the paper concludes with the suggestions and proposals for the Regional Approach to Smart Grid Development. The article also explains the demand for Smart Grid capability within Asia which is quite diverse in nature ranging from reflecting the sophisticated nature of electricity demand in developed and developing nations of Asia.