Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849065
I. Dukovska, N. Paterakis, H. Slootweg
In this paper, the coordinated operation of agents representing residential household energy management systems in the electricity market is considered. Each agent has its local decision vector that may contain both continuous and discrete variables. The problem of minimizing the energy procurement cost of the community of agents is represented by a Mixed Integer Linear Program with local and global constraints. A dual decomposition method with a tightening of the global constraint is applied to solve the problem with guarantees for the feasibility of the obtained solutions. The problem is decomposed and solved in a distributed way with coordination by a community coordinator. The method is applied to a realistic case study of 15 households.
{"title":"Coordination for Prosumers' Electricity Trading Agents via Distributed Optimization","authors":"I. Dukovska, N. Paterakis, H. Slootweg","doi":"10.1109/SEST.2019.8849065","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849065","url":null,"abstract":"In this paper, the coordinated operation of agents representing residential household energy management systems in the electricity market is considered. Each agent has its local decision vector that may contain both continuous and discrete variables. The problem of minimizing the energy procurement cost of the community of agents is represented by a Mixed Integer Linear Program with local and global constraints. A dual decomposition method with a tightening of the global constraint is applied to solve the problem with guarantees for the feasibility of the obtained solutions. The problem is decomposed and solved in a distributed way with coordination by a community coordinator. The method is applied to a realistic case study of 15 households.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116975874","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}
Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849003
S. Fernandez, F. Lucena, M. Iglesias
A new energy paradigm is emerging in which renewable energies will play a much bigger role, as well as one in which hydrogen emerge as an important energy vector. Within the global consumption of energy, both present and future, the residential sector comprises an important portion of consumption and is therefore an important factor in the new energy paradigm. In line with this scenario, this study analyses the feasibility of using a storage system based on hydrogen as an alternative to using a battery storage system in an isolated photovoltaic installation to supply a house's electric demand.
{"title":"Feasibility study of the use of a hydrogen-based storage system as an alternative to battery storage of a standalone photovoltaic installation to supply a house's electric demand","authors":"S. Fernandez, F. Lucena, M. Iglesias","doi":"10.1109/SEST.2019.8849003","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849003","url":null,"abstract":"A new energy paradigm is emerging in which renewable energies will play a much bigger role, as well as one in which hydrogen emerge as an important energy vector. Within the global consumption of energy, both present and future, the residential sector comprises an important portion of consumption and is therefore an important factor in the new energy paradigm. In line with this scenario, this study analyses the feasibility of using a storage system based on hydrogen as an alternative to using a battery storage system in an isolated photovoltaic installation to supply a house's electric demand.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123458080","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}
Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849153
T. Alskaif, Gijs van Leeuwen
The rapid development of distributed energy resources (DER) in the distribution grid calls for novel control and coordination solutions. Optimal management of DER will enable end-users to decrease their electricity costs and provide crucial services to grid operators. In this paper, a decentralized Optimal Power Flow (OPF) model is used to locally coordinate DER in distribution networks, while considering the network constraints, in a distributed, transparent and secure fashion. To achieve that, a consensus-based distributed optimization algorithm is developed using the general form Alternating Direction Method of Multipliers (ADMM). To enable transparent and verifiable management of the network, the paper provides a comprehensive procedure for the implementation of the decentralized OPF on a private blockchain-smart contracts platform. The performance of the proposed framework is tested using real data from a case study in a residential neighborhood in Amsterdam with different varieties of DER. The implementation procedure on a blockchain-smart contracts platform may be adopted in other problems that require a smart contract to act as a virtual aggregator.
{"title":"Decentralized Optimal Power Flow in Distribution Networks Using Blockchain","authors":"T. Alskaif, Gijs van Leeuwen","doi":"10.1109/SEST.2019.8849153","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849153","url":null,"abstract":"The rapid development of distributed energy resources (DER) in the distribution grid calls for novel control and coordination solutions. Optimal management of DER will enable end-users to decrease their electricity costs and provide crucial services to grid operators. In this paper, a decentralized Optimal Power Flow (OPF) model is used to locally coordinate DER in distribution networks, while considering the network constraints, in a distributed, transparent and secure fashion. To achieve that, a consensus-based distributed optimization algorithm is developed using the general form Alternating Direction Method of Multipliers (ADMM). To enable transparent and verifiable management of the network, the paper provides a comprehensive procedure for the implementation of the decentralized OPF on a private blockchain-smart contracts platform. The performance of the proposed framework is tested using real data from a case study in a residential neighborhood in Amsterdam with different varieties of DER. The implementation procedure on a blockchain-smart contracts platform may be adopted in other problems that require a smart contract to act as a virtual aggregator.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":" 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113949832","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}
Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849097
Hilmi Cihan Güldorum, Ayşe Kübra Erenoğlu, İbrahim Şengör, O. Erdinç, J. Catalão
The role of transportation in the overall emissions in light of the increasing environmental awareness has led to a rapid transition to the use of electric vehicles (EVs), especially in the last decade. The EVs have seminal advantages in terms of different point of views; however, they may pose vital challenges for the electric power system operation due to their stochastic characteristics as an electrical load. Several industrial and academic research studies have already been and are still conducted in this respect. Specifically, the development of combined technical and business-oriented operational models is extremely significant for sustainable penetration of EVs. In this study, an interoperability platform is proposed for EV charging service taking dual sides of the mentioned service as system operator and EV owner into account, being proposed as a new perspective in this area, also compared to industrial software platforms for EV charging service by service providers rather than power system operators. The developed software platforms are demonstrated and case study based analyses are conducted to present the applicability of the proposed concept.
{"title":"An Interoperability Platform for Electric Vehicle Charging Service Considering Dual System Operator and Electric Vehicle Owner Sides","authors":"Hilmi Cihan Güldorum, Ayşe Kübra Erenoğlu, İbrahim Şengör, O. Erdinç, J. Catalão","doi":"10.1109/SEST.2019.8849097","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849097","url":null,"abstract":"The role of transportation in the overall emissions in light of the increasing environmental awareness has led to a rapid transition to the use of electric vehicles (EVs), especially in the last decade. The EVs have seminal advantages in terms of different point of views; however, they may pose vital challenges for the electric power system operation due to their stochastic characteristics as an electrical load. Several industrial and academic research studies have already been and are still conducted in this respect. Specifically, the development of combined technical and business-oriented operational models is extremely significant for sustainable penetration of EVs. In this study, an interoperability platform is proposed for EV charging service taking dual sides of the mentioned service as system operator and EV owner into account, being proposed as a new perspective in this area, also compared to industrial software platforms for EV charging service by service providers rather than power system operators. The developed software platforms are demonstrated and case study based analyses are conducted to present the applicability of the proposed concept.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125430127","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}
Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849128
Alan Pino, F. Lucena, J. G. Macho
In order to reduce the energy cost of a microbrewery, the integration of a combination of two solar technologies is proposed. The aim is to provide from solar 50% of the annual electricity consumption and 30% of the heat requirements. For this purpose, a solar thermal system (ST) composed of 14.6 m2 of flat-plate collectors and a 1.4 m3 storage tank is modelled. In addition, a 2.86-kWp on-grid photovoltaic (PV) system is studied. The location selected is Seville, Spain, where the annual Global Horizontal Irradiation is 1,755 kWh/m2. The results are obtained by transient hourly simulations throughout the year employing TRNSYS. The Net Present Value (NPV) and Discounted Payback Period (DPP) are calculated for four scenarios. The PV system shows a positive NPV and a DPP of 8.3 years under a net-billing scheme. The NPV for the solar thermal system is negative, owing to the low cost of natural gas. Thus, it is not attractive to install it under the existing scenario. Nevertheless, an alternative solution has been studied, heat recovery from the cooling water to be used for the next batch. This case results in lower investment than the ST and leads to a positive NPV and a DPP of 8.1 years. In order to assess the environmental impact, the CO2 emission reduction is also calculated. The favorable results obtained in this study show the potential benefits of solar energy integration in the small-scale industry with a batch process.
{"title":"Economic Analysis for Solar Energy Integration in a Microbrewery","authors":"Alan Pino, F. Lucena, J. G. Macho","doi":"10.1109/SEST.2019.8849128","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849128","url":null,"abstract":"In order to reduce the energy cost of a microbrewery, the integration of a combination of two solar technologies is proposed. The aim is to provide from solar 50% of the annual electricity consumption and 30% of the heat requirements. For this purpose, a solar thermal system (ST) composed of 14.6 m2 of flat-plate collectors and a 1.4 m3 storage tank is modelled. In addition, a 2.86-kWp on-grid photovoltaic (PV) system is studied. The location selected is Seville, Spain, where the annual Global Horizontal Irradiation is 1,755 kWh/m2. The results are obtained by transient hourly simulations throughout the year employing TRNSYS. The Net Present Value (NPV) and Discounted Payback Period (DPP) are calculated for four scenarios. The PV system shows a positive NPV and a DPP of 8.3 years under a net-billing scheme. The NPV for the solar thermal system is negative, owing to the low cost of natural gas. Thus, it is not attractive to install it under the existing scenario. Nevertheless, an alternative solution has been studied, heat recovery from the cooling water to be used for the next batch. This case results in lower investment than the ST and leads to a positive NPV and a DPP of 8.1 years. In order to assess the environmental impact, the CO2 emission reduction is also calculated. The favorable results obtained in this study show the potential benefits of solar energy integration in the small-scale industry with a batch process.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120936122","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}
Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849127
A. Mazza, G. Chicco
This paper presents the effectiveness of exploiting the losses allocated to the nodes of a radial distribution system as an indicator of the impact of the diffusion of distributed energy resources in the network. The calculation of the losses allocated to the nodes is not included in the commercial power flow solvers, even though the implementation of this calculation is simple and the results provide meaningful information. The interpretation of the allocated losses is illustrated in this paper, on the basis of the results obtained on a typical test network under different case studies.
{"title":"Losses Allocated to the Nodes of a Radial Distribution System with Distributed Energy Resources — A Simple and Effective Indicator","authors":"A. Mazza, G. Chicco","doi":"10.1109/SEST.2019.8849127","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849127","url":null,"abstract":"This paper presents the effectiveness of exploiting the losses allocated to the nodes of a radial distribution system as an indicator of the impact of the diffusion of distributed energy resources in the network. The calculation of the losses allocated to the nodes is not included in the commercial power flow solvers, even though the implementation of this calculation is simple and the results provide meaningful information. The interpretation of the allocated losses is illustrated in this paper, on the basis of the results obtained on a typical test network under different case studies.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122314727","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}
Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849101
Roberto Alvaro-Hermana, J. Merino, J. Fraile-Ardanuy, S. Castaño-Solis, David Jiménez
Self-consumption is a growing public demand in an energy environment with growing electricity costs and decreasing photovoltaic installation costs. Shared self-consumption is an imperative aspect for bringing self-consumption into Multi-Family Residential Buildings (MRB), where most families live. Nevertheless, current legislation in most countries does not consider shared self-consumption or does not exploit its full potential; such is the case of Spain or Portugal. This paper will present a novel optimization problem for studying the economics of a shared self-consumption installation in a MRB (composed of five family demands, a PV installation and a battery) with the aim of reducing the total bill of the MRB during an entire year. The impact on energy communities of two different types of energy policies is analysed: the remuneration scheme for the surplus energy (net metering, net billing, and exclusive self-consumption policies) and the regulation for shared self-generated energy (demand-dependent, proportional output and no sharing). It is found that the regulation for the sharing energy can be more important that the remuneration scheme, which has been the traditional target of the self-consumption policy.
{"title":"Shared Self-Consumption Economic Analysis for a Residential Energy Community","authors":"Roberto Alvaro-Hermana, J. Merino, J. Fraile-Ardanuy, S. Castaño-Solis, David Jiménez","doi":"10.1109/SEST.2019.8849101","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849101","url":null,"abstract":"Self-consumption is a growing public demand in an energy environment with growing electricity costs and decreasing photovoltaic installation costs. Shared self-consumption is an imperative aspect for bringing self-consumption into Multi-Family Residential Buildings (MRB), where most families live. Nevertheless, current legislation in most countries does not consider shared self-consumption or does not exploit its full potential; such is the case of Spain or Portugal. This paper will present a novel optimization problem for studying the economics of a shared self-consumption installation in a MRB (composed of five family demands, a PV installation and a battery) with the aim of reducing the total bill of the MRB during an entire year. The impact on energy communities of two different types of energy policies is analysed: the remuneration scheme for the surplus energy (net metering, net billing, and exclusive self-consumption policies) and the regulation for shared self-generated energy (demand-dependent, proportional output and no sharing). It is found that the regulation for the sharing energy can be more important that the remuneration scheme, which has been the traditional target of the self-consumption policy.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132710955","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}
Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849151
Daniele Carta, P. Pegoraro, S. Sulis, M. Pau, F. Ponci, A. Monti
The accurate location of faults through smart algorithms is an essential requirement for grid operators to apply automation schemes aimed at promptly isolating the fault and at restoring the power supply in non-faulty segments of the network. In the distribution system, this task is particularly challenging mainly due to the large size of the network and the low number of measurement devices deployed on the field. In such a scenario, ad-hoc techniques need to be used to have fault location algorithms able to provide reliable results based on the limited amount of available information. This work presents a fault location algorithm based on the use of compressive sensing techniques. Differently from the previous literature on this topic, this paper proposes a procedure that allows the location of faults occurring also at the branches of the distribution grid, and not only on its nodes. The paper describes the mathematical model behind the conceived algorithm and presents tests on a sample distribution grid to show the potential fault location performance.
{"title":"A Compressive Sensing Approach for Fault Location in Distribution Grid Branches","authors":"Daniele Carta, P. Pegoraro, S. Sulis, M. Pau, F. Ponci, A. Monti","doi":"10.1109/SEST.2019.8849151","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849151","url":null,"abstract":"The accurate location of faults through smart algorithms is an essential requirement for grid operators to apply automation schemes aimed at promptly isolating the fault and at restoring the power supply in non-faulty segments of the network. In the distribution system, this task is particularly challenging mainly due to the large size of the network and the low number of measurement devices deployed on the field. In such a scenario, ad-hoc techniques need to be used to have fault location algorithms able to provide reliable results based on the limited amount of available information. This work presents a fault location algorithm based on the use of compressive sensing techniques. Differently from the previous literature on this topic, this paper proposes a procedure that allows the location of faults occurring also at the branches of the distribution grid, and not only on its nodes. The paper describes the mathematical model behind the conceived algorithm and presents tests on a sample distribution grid to show the potential fault location performance.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134132086","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}
Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849046
T. Sousa, V. Monteiro, J. S. Martins, M. Sepulveda, A. Lima, J. Afonso
This paper presents a comparative analysis of power electronics topologies that can be used to interface dc homes with a 230 V, 50 Hz ac power grid. Dc homes represent an essential asset for smart grids, since energy storage systems and renewable energy sources, such as photovoltaic solar panels, operate in dc, as well as most of the electrical appliances used in domestic scenario. However, since the power grid operates in ac, it is necessary to convert voltage from ac to dc to properly supply a dc home. This conversion can be accomplished in several ways, with different power conversion stages. In this context, this paper analyzes three different possibilities that can be used to perform the interface between the ac power grid and a dc home: (1) ac-dc converter using a low frequency transformer; (2) ac-dc and dc-dc converters using a high frequency transformer; (3) ac-ac and ac-dc converters using a medium frequency transformer. These three possibilities are compared in terms of efficiency, total power factor and total harmonic distortion of the ac power grid. The results were obtained by means of a simulation model based on the internal parameters of the power semiconductors.
{"title":"Comparative Analysis of Power Electronics Topologies to Interface dc Homes with the Electrical ac Power Grid","authors":"T. Sousa, V. Monteiro, J. S. Martins, M. Sepulveda, A. Lima, J. Afonso","doi":"10.1109/SEST.2019.8849046","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849046","url":null,"abstract":"This paper presents a comparative analysis of power electronics topologies that can be used to interface dc homes with a 230 V, 50 Hz ac power grid. Dc homes represent an essential asset for smart grids, since energy storage systems and renewable energy sources, such as photovoltaic solar panels, operate in dc, as well as most of the electrical appliances used in domestic scenario. However, since the power grid operates in ac, it is necessary to convert voltage from ac to dc to properly supply a dc home. This conversion can be accomplished in several ways, with different power conversion stages. In this context, this paper analyzes three different possibilities that can be used to perform the interface between the ac power grid and a dc home: (1) ac-dc converter using a low frequency transformer; (2) ac-dc and dc-dc converters using a high frequency transformer; (3) ac-ac and ac-dc converters using a medium frequency transformer. These three possibilities are compared in terms of efficiency, total power factor and total harmonic distortion of the ac power grid. The results were obtained by means of a simulation model based on the internal parameters of the power semiconductors.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134628622","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}
Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849098
Mahsa Khorram, P. Faria, Z. Vale
The world is moving toward demand response programs, energy optimization, and using renewable energy resources more than the past. Buildings are responsible for a significant part of energy consumption and they are considered as suitable cases for reducing energy usage. Therefore, energy management in buildings should be improved. This paper presents a multi-period optimization algorithm with the aim of reducing power consumption of the lights and maintain user comfort. For this purpose, several comfort constraints are considered, and several parameters are defined. The case study of the paper uses real data monitored by an implemented automation infrastructure in a building. Four scenarios are presented to validate the impacts of proposed algorithm. Each scenario surveys different aspects of user comfort constraint and the obtained results illustrate the performance of algorithm.
{"title":"Optimizing Lighting in an Office for Demand Response Participation Considering User Preferences","authors":"Mahsa Khorram, P. Faria, Z. Vale","doi":"10.1109/SEST.2019.8849098","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849098","url":null,"abstract":"The world is moving toward demand response programs, energy optimization, and using renewable energy resources more than the past. Buildings are responsible for a significant part of energy consumption and they are considered as suitable cases for reducing energy usage. Therefore, energy management in buildings should be improved. This paper presents a multi-period optimization algorithm with the aim of reducing power consumption of the lights and maintain user comfort. For this purpose, several comfort constraints are considered, and several parameters are defined. The case study of the paper uses real data monitored by an implemented automation infrastructure in a building. Four scenarios are presented to validate the impacts of proposed algorithm. Each scenario surveys different aspects of user comfort constraint and the obtained results illustrate the performance of algorithm.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133215993","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}
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