Edoardo De Din, A. Monti, V. Hagenmeyer, Klaus Wehrle
{"title":"A new solution for the Energy Packet-based Dispatching using power/signal dual modulation","authors":"Edoardo De Din, A. Monti, V. Hagenmeyer, Klaus Wehrle","doi":"10.1145/3208903.3208931","DOIUrl":"https://doi.org/10.1145/3208903.3208931","url":null,"abstract":"The current process of transformation affecting the energy system is calling for completely new approaches. This paper investigates the possibility of introducing energy packets as a fundamentally new abstraction concept that is following the transformation of communication networks in the 1970s from synchronous circuit switching to asynchronous store-and-forward routing. Focus is placed on the exploitation of power electronic devices in creating information embedded into the power flow. Considerations on some criticalities and future developments that are needed to further proceed on the development of this new vision are discussed. A simple test in Matlab/SIMULINK is provided in support for the packet dispatching described in the paper.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128444520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Philipp Danner, W. Duschl, Dominik Danner, A. Alyousef, H. Meer
{"title":"Flexibility Reward Scheme for Grid-Friendly Electric Vehicle Charging in the Distribution Power Grid","authors":"Philipp Danner, W. Duschl, Dominik Danner, A. Alyousef, H. Meer","doi":"10.1145/3208903.3213893","DOIUrl":"https://doi.org/10.1145/3208903.3213893","url":null,"abstract":"Due to the increasing number of Electric Vehicles (EV) entering the transportation sector, we need to take a closer look to the distribution power grid, which needs to support the increasing number of charging processes. Grid enhancement to peak load of EV charging processes is very expensive, hence an intelligent solution is preferred. This paper introduces a new concept, called the Reward Scheme, which main objective is to advertise grid-friendly charging processes in order to avoid power quality issues in the distribution grid. To achieve this, we distinguish between guaranteed and flexible power at a charging spot. Using the guaranteed power as a reference, we calculate the grid-friendliness factor of different flexible charging rates, which in turn are proposed to the grid user, e.g. the Charging Service Providers (CSP). This paper describes a simulation-driven approach to obtain the grid-friendliness factor, as well as the required communication between the CSP and the Distribution System Operator (DSO).","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132069247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Hoog, Khalid Abdulla, Ramachandra Rao Kolluri, Paras Karki
{"title":"Scheduling Fast Local Rule-Based Controllers for Optimal Operation of Energy Storage","authors":"J. Hoog, Khalid Abdulla, Ramachandra Rao Kolluri, Paras Karki","doi":"10.1145/3208903.3208917","DOIUrl":"https://doi.org/10.1145/3208903.3208917","url":null,"abstract":"In most applications involving energy storage, multiple different opportunities to generate revenue or reduce cost must be stacked to optimise economic return. This requires repeated scheduling of the energy storage charging schedule in advance, across a finite future horizon. When forecasts and degradation models are incorporated, optimal solutions can become expensive to compute. Local conditions, however, can change instantly, and require fast response by local controllers to truly maximise the energy storage system's returned value. This work proposes a method for optimally operating energy storage in response to multiple value streams that finds the optimal solution over a future horizon, and then breaks this down into a schedule for a small set of simple, local, rule-based controllers. Each local controller is set up to maximise one particular value stream, and can respond to changing conditions on a timescale of milliseconds. The method is specifically designed for implementation on real systems, and successful at ensuring a near-optimal value return by the energy storage system.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126346624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A compact integrated charger with disturbance reduced induction motor drive for plug-in electric vehicles (PEVs)","authors":"K. Chinmaya, G. Singh","doi":"10.1145/3208903.3212040","DOIUrl":"https://doi.org/10.1145/3208903.3212040","url":null,"abstract":"The most dominant part of a plug-in electric vehicle (PEV) is its charger and propulsion system. These two parts are collectively referred as power electronic interface (PEI) of PEV. This paper proposes an onboard integrated charger with single-stage converter, coupled with feed-forward field-oriented controlled (FFOC) induction motor drive in the propulsion system. An improved control strategy to operate this PEI is also developed. Single-stage DC/DC converter utilized in PEI contains the least number of components compared to other existing converters. It can perform buck/boost operation in all the three modes of operation, i.e. plug-in charging, propulsion and regenerative braking. Propulsion drive in the PEI is composed of PWM converter fed three-phase induction motor drive. When a drive is operated in a closed loop, variation in load torque hinders the speed of the motor, consequently affecting the system performance. To avoid this, field-oriented controlled induction motor drive presented in this paper uses an additional feed-forward loop for the resilient speed control under input load disturbances.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"87 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126295566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beyond Transmission Performance: 5G Opportunities for Developing e-Energy Applications","authors":"R. Rapuzzi, M. Repetto, Danilo Tigano","doi":"10.1145/3208903.3212039","DOIUrl":"https://doi.org/10.1145/3208903.3212039","url":null,"abstract":"Beyond the expected improvement of key performance indexes (like bandwidth, delay, jitter), the advent of 5G networks is expected to bring radical changes in the way services are realized and managed in several key vertical sectors, including energy. In this paper, we elaborate on the opportunity for quicker service development and deployment for the smart grid.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"35 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114115035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Minimizing energy costs of commercial buildings by integrating demand side and supply side strategies","authors":"K. Saurav, V. Arya","doi":"10.1145/3208903.3212033","DOIUrl":"https://doi.org/10.1145/3208903.3212033","url":null,"abstract":"Heating Ventilation and Air Conditioning dominates the overall energy bill of commercial buildings. Additionally, developing countries with poor grid reliability experience recurrent power outages leading to the use of diesel generators that further increase these costs. In this paper, we propose an algorithmic approach that combines demand and supply side strategies to reduce the overall energy costs. Results from the algorithm are compared against an existing optimization framework to demonstrate its efficacy. The algorithm achieves near optimal solutions in about three orders of magnitude less time than the optimization framework. Simulations demonstrate an average savings of 20% relative to the baseline operational practices for commercial buildings such as cell towers.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113987506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Staudt, Johannes Gärttner, Christof Weinhardt, M. Negrete-Pincetic, Á. Lorca
{"title":"The Potential of Agent-Based Simulation for Assessing the Bilateral-Nodal Debate","authors":"P. Staudt, Johannes Gärttner, Christof Weinhardt, M. Negrete-Pincetic, Á. Lorca","doi":"10.1145/3208903.3212063","DOIUrl":"https://doi.org/10.1145/3208903.3212063","url":null,"abstract":"The changing topologies of electricity generation and the lagging expansion of transmission grids in Europe lead to a resurfacing of the debate over power market designs. This debate has been led as the \"Nodal-Bilateral Debate\" with proponents of a market with a central ISO on one side and a market based on decentralized contracts on the other side. We discuss how agent-based simulation can be used to assess the implications of such market designs for welfare distribution and market power implications among others.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122579620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Real World Deployment of a Data Driven Cloud Based Cooling Solution for HVAC Control in Commercial Buildings","authors":"A. Vishwanath, Yuanda Hong, Charles Blake","doi":"10.1145/3208903.3212044","DOIUrl":"https://doi.org/10.1145/3208903.3212044","url":null,"abstract":"This demonstration shows a data driven cloud based cooling solution for reducing the energy and cost footprints associated with building HVAC. The cooling solution is hosted on the IBM cloud platform. We describe the motivation behind implementing the solution on the cloud and highlight one of its key features, namely the ability to use secure RESTful APIs alongside the Project Haystack IoT initiative to configure various set-point parameters in a building management system located on-site at a building. Our solution is currently being used to control the zone set-point temperature settings of a large office building situated in Townsville, Australia. Preliminary results from a trial performed in March 2018 shows that the zone peak air conditioning power can be reduced by over 5% and cooling energy consumption can be lowered by over 7% (amounting to substantial savings in annual electricity cost) without impacting the thermal comfort of the occupants. This cooling solution forms part of our more sophisticated data driven pre-cooling framework for HVAC energy cost optimisation in commercial buildings.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122673424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicole Ludwig, Simon Waczowicz, R. Mikut, V. Hagenmeyer
{"title":"Assessment of Unsupervised Standard Pattern Recognition Methods for Industrial Energy Time Series","authors":"Nicole Ludwig, Simon Waczowicz, R. Mikut, V. Hagenmeyer","doi":"10.1145/3208903.3212051","DOIUrl":"https://doi.org/10.1145/3208903.3212051","url":null,"abstract":"Finding and extracting standard patterns in energy time series is very important to many real-world applications. Hence, there exists a multitude of pattern recognition algorithms with a majority of them being supervised ones. The advantage of supervision is that it can easily be checked if the algorithm is performing well or not. However, if no labels are available, an unsupervised pattern search is necessary. This search is faced with the challenge of how to measure success. Thus the question arises, when is a found pattern -- for example a motif or a mean cluster curve -- really describing the standard behaviour of a process and not just some kind of irrelevant behaviour? The present paper introduces a new method to assess two methods -- namely clustering and motif discovery -- in their quest to find standard profiles in energy time series data from industrial processes. Although both methods share the same aim, the results are incongruent. This finding has profound implications for real-world applications.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133257774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data-Driven Models for Building Occupancy Estimation","authors":"Shadan Golestan, Sepehr Kazemian, Omid Ardakanian","doi":"10.1145/3208903.3208940","DOIUrl":"https://doi.org/10.1145/3208903.3208940","url":null,"abstract":"The availability of accurate occupancy information from different spaces in a building allows for significant reduction in the energy consumption of heating, ventilation, air conditioning, and lighting systems. This paper investigates the application of particle filters and time series neural networks to inferring the number of occupants of individual rooms from time series data collected by a set of occupancy-indicative sensors. Our approach is purely data driven and does not require developing customized and complex physics-based models to predict the occupancy level of the many rooms in a building. We evaluate the efficacy of the proposed methods on two data sets, one contains measurements of dedicated sensors while the other one contains measurements of HVAC sensors that are commonly available in commercial buildings. Our results indicate that time series neural networks are superior in this application, estimating the number of occupants with a root-mean-squared error of 0.3 and 0.8 in the two data sets with a maximum of 7 and 67 occupants, respectively.","PeriodicalId":400170,"journal":{"name":"Proceedings of the Ninth International Conference on Future Energy Systems","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133683769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}