Pub Date : 2022-03-04DOI: 10.1109/icgea54406.2022.9792096
Yizhou Sun
By the overview of past seismic events, post-seismic blackouts are unsurprisingly common. Lives that crucially depend on electricity could be in extreme danger. Seismic waves deliver an extraordinary amount of power, and the current solutions for artificial structures are to dissipate the energy in the form of lateral deflection, damper strain, or isolation. This research proposes a new innovative design of a seismic base isolator that can harvest the seismic energy, which was conventionally dissipated, converted into electricity that powers life support devices during blackouts. The battery stores electricity from multiple minor earthquake which did not cause blackouts and use it on the major blackout inducing earthquakes. This design is inspired by the regenerative braking systems and suspensions used in vehicles. This research will include designs for the seismic isolation system, seismic kinetic energy harvesting system, and power generating system. The electricity stabilizing capacitor system and battery system will not be included in this research. Maximum oscillation amplitude of the damped forced system is derived by Lenz's law, Hooke's law with mass-spring-damper ordinary differential equations.
{"title":"Innovative Design of Power Generation Seismic Base Isolator","authors":"Yizhou Sun","doi":"10.1109/icgea54406.2022.9792096","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792096","url":null,"abstract":"By the overview of past seismic events, post-seismic blackouts are unsurprisingly common. Lives that crucially depend on electricity could be in extreme danger. Seismic waves deliver an extraordinary amount of power, and the current solutions for artificial structures are to dissipate the energy in the form of lateral deflection, damper strain, or isolation. This research proposes a new innovative design of a seismic base isolator that can harvest the seismic energy, which was conventionally dissipated, converted into electricity that powers life support devices during blackouts. The battery stores electricity from multiple minor earthquake which did not cause blackouts and use it on the major blackout inducing earthquakes. This design is inspired by the regenerative braking systems and suspensions used in vehicles. This research will include designs for the seismic isolation system, seismic kinetic energy harvesting system, and power generating system. The electricity stabilizing capacitor system and battery system will not be included in this research. Maximum oscillation amplitude of the damped forced system is derived by Lenz's law, Hooke's law with mass-spring-damper ordinary differential equations.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123467309","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9792066
Per Sieverts Nielsen, Bilal Siddique Khan, Daniel Møller Sneum
The production of waste heat - or excess heat is substantial in the European Union. Despite the potential for excess heat utilisation several barriers exist. This paper identifies different barriers and enablers for excess heat utilisation, which is based on an analysis carried out in four European countries as part of EU funded project. The detailed literature review on the status of excess heat recovery identified a very diverse nature of district heating regulations in the different countries along with different layouts of contracts and business models. An analysis of the potential for excess heat utilisation in Denmark shows a substantial increase in excess heat utilisation in district heating. The identified barriers include access to a market (district heating network), lack of a comprehensive regulatory framework along with standardising contracts, lacking sinks (end users), and absent financial incentives to make excess heat a viable option for the potentially involved stakeholders.
{"title":"Excess Heat Regulations, Contracts and Business Models – With a Special Focus on Excess Heat Opportunities in Denmark","authors":"Per Sieverts Nielsen, Bilal Siddique Khan, Daniel Møller Sneum","doi":"10.1109/icgea54406.2022.9792066","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792066","url":null,"abstract":"The production of waste heat - or excess heat is substantial in the European Union. Despite the potential for excess heat utilisation several barriers exist. This paper identifies different barriers and enablers for excess heat utilisation, which is based on an analysis carried out in four European countries as part of EU funded project. The detailed literature review on the status of excess heat recovery identified a very diverse nature of district heating regulations in the different countries along with different layouts of contracts and business models. An analysis of the potential for excess heat utilisation in Denmark shows a substantial increase in excess heat utilisation in district heating. The identified barriers include access to a market (district heating network), lack of a comprehensive regulatory framework along with standardising contracts, lacking sinks (end users), and absent financial incentives to make excess heat a viable option for the potentially involved stakeholders.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128572764","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791941
Sara Fakih, M. Mabrouk, M. Batton-Hubert, B. Lacarrière
Sustainable development and mitigation of climate change have become essential and indispensable parts of energy policies at all stages (analysis, planning, production…). Today, energy accounts for two-thirds of total greenhouse gases emissions, therefore, efforts in this sector are of major importance to reduce the global impacts. This can be accomplished through the use of distributed generation to meet the increased demand. Distributed generation includes on-site renewables such as solar or wind power. The optimal integration of these sources in the network requires optimization models to accurately locate and size them based on needs. This paper proposes to use dynamic optimal power flow (OPF) modeling to localize and size the Photovoltaic (PV) production sources and storage batteries (SB) needed on an over-solicited grid by additional demand, in a spatial-temporal framework. To do so, while respecting the different constraints (solar local resources, cost analysis…), a linear optimization is performed to minimize the production costs and to define the optimal installed surface of PV to maximize the individual load factor of each PV, while respecting all the network’s constraints.
{"title":"Optimal Allocation and Sizing of Renewable Energy Sources and Storage Systems to Support Over-Solicited Electricity Grid","authors":"Sara Fakih, M. Mabrouk, M. Batton-Hubert, B. Lacarrière","doi":"10.1109/icgea54406.2022.9791941","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791941","url":null,"abstract":"Sustainable development and mitigation of climate change have become essential and indispensable parts of energy policies at all stages (analysis, planning, production…). Today, energy accounts for two-thirds of total greenhouse gases emissions, therefore, efforts in this sector are of major importance to reduce the global impacts. This can be accomplished through the use of distributed generation to meet the increased demand. Distributed generation includes on-site renewables such as solar or wind power. The optimal integration of these sources in the network requires optimization models to accurately locate and size them based on needs. This paper proposes to use dynamic optimal power flow (OPF) modeling to localize and size the Photovoltaic (PV) production sources and storage batteries (SB) needed on an over-solicited grid by additional demand, in a spatial-temporal framework. To do so, while respecting the different constraints (solar local resources, cost analysis…), a linear optimization is performed to minimize the production costs and to define the optimal installed surface of PV to maximize the individual load factor of each PV, while respecting all the network’s constraints.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130347626","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791982
Myung-Gil Kim, Dongju Kim, E. Hwang, Eden Kim, Seok-Gap Ko, Byung-Tak Lee
This paper proposes a framework for inferring socio-demographic information using smart meter data. Socio-demographic information can be used to provide effective demand response programs and personalized services. Accordingly, research has been conducted to infer such information using electricity usage patterns which are collected by smart meters. However, collecting household characteristics information and corresponding smart meter data requires considerable effort and cost, making it difficult to obtain sufficient training data. Therefore, in this paper, we present a transfer learning methodology using datasets collected from different countries or regions. In the proposed framework, both the source dataset and target dataset are used to generate a typical daily load profile. The extracted daily load profiles are then used for instance selection step to prevent negative transfer. Also, to improve the performance of the transfer learning model, potentially noisy features are removed. The pre-trained deep learning model is then fine-tuned by the target dataset. Using the proposed method, the information-inferring performance is improved in classification accuracy, F1 score and area under the curve (AUC) metrics.
{"title":"Inferring Socio-Demographic Information Using Smart Meter Data by Transfer Learning","authors":"Myung-Gil Kim, Dongju Kim, E. Hwang, Eden Kim, Seok-Gap Ko, Byung-Tak Lee","doi":"10.1109/icgea54406.2022.9791982","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791982","url":null,"abstract":"This paper proposes a framework for inferring socio-demographic information using smart meter data. Socio-demographic information can be used to provide effective demand response programs and personalized services. Accordingly, research has been conducted to infer such information using electricity usage patterns which are collected by smart meters. However, collecting household characteristics information and corresponding smart meter data requires considerable effort and cost, making it difficult to obtain sufficient training data. Therefore, in this paper, we present a transfer learning methodology using datasets collected from different countries or regions. In the proposed framework, both the source dataset and target dataset are used to generate a typical daily load profile. The extracted daily load profiles are then used for instance selection step to prevent negative transfer. Also, to improve the performance of the transfer learning model, potentially noisy features are removed. The pre-trained deep learning model is then fine-tuned by the target dataset. Using the proposed method, the information-inferring performance is improved in classification accuracy, F1 score and area under the curve (AUC) metrics.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125744583","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791464
Lamia Fatiha Kazi Tani, B. Kadri
Similar to wireless sensor networks underwater wireless Sensor Networks (UWSNs) are composed of hundreds to thousands of tiny sensor nodes; static or dynamic usually communicate using acoustic link. This kind of networks has the capacity of acting as similar sensor and detects environment measures such as temperature or pressure as well as movement under water which makes them an ideal tool for underwater radars and remote detection systems for naval forces. In our paper we are going to propose a security mechanism to ensure authentication and confidentiality for a last line defense system. In which an UWSN will be used as platform for last line radar system intended to detect and destroy military targets. The proposed system will act as a rescue system launched when the traditional radar and sonar systems are in the incapacity to detect and destroy targets due to the high technology of the enemy or the destruction of the traditional naval system.
{"title":"A Last Line Naval Defense System Based on Underwater Wireless Sensor Network","authors":"Lamia Fatiha Kazi Tani, B. Kadri","doi":"10.1109/icgea54406.2022.9791464","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791464","url":null,"abstract":"Similar to wireless sensor networks underwater wireless Sensor Networks (UWSNs) are composed of hundreds to thousands of tiny sensor nodes; static or dynamic usually communicate using acoustic link. This kind of networks has the capacity of acting as similar sensor and detects environment measures such as temperature or pressure as well as movement under water which makes them an ideal tool for underwater radars and remote detection systems for naval forces. In our paper we are going to propose a security mechanism to ensure authentication and confidentiality for a last line defense system. In which an UWSN will be used as platform for last line radar system intended to detect and destroy military targets. The proposed system will act as a rescue system launched when the traditional radar and sonar systems are in the incapacity to detect and destroy targets due to the high technology of the enemy or the destruction of the traditional naval system.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122244700","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791860
Lauren M. Qaisieh, N. Tawalbeh
This work presents an efficient and reliable short term load forecasting algorithm that can determine the optimal operating conditions for end consumers. The proposed solution combines smart meters readings from the electrical distribution company along with weather conditions, and previous consumption figures and feeds them into a reliable neural network-based load forecasting and scheduling algorithm to ensure optimal operating conditions. Predicted power consumption figures will be presented to end users to plan for optimal energy usage. Furthermore, A Blockchain-based communication system is used for information exchange throughout the network. End users will have their actual power consumption figures sent to the utility provider to ensure the planned operation and efficient use of power plants and implementation of dynamic pricing.
{"title":"Load Forecasting Using Neural Networks and Blockchains for Low Voltage Distribution Networks","authors":"Lauren M. Qaisieh, N. Tawalbeh","doi":"10.1109/icgea54406.2022.9791860","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791860","url":null,"abstract":"This work presents an efficient and reliable short term load forecasting algorithm that can determine the optimal operating conditions for end consumers. The proposed solution combines smart meters readings from the electrical distribution company along with weather conditions, and previous consumption figures and feeds them into a reliable neural network-based load forecasting and scheduling algorithm to ensure optimal operating conditions. Predicted power consumption figures will be presented to end users to plan for optimal energy usage. Furthermore, A Blockchain-based communication system is used for information exchange throughout the network. End users will have their actual power consumption figures sent to the utility provider to ensure the planned operation and efficient use of power plants and implementation of dynamic pricing.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133882930","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791960
{"title":"ICGEA 2022 Cover Page","authors":"","doi":"10.1109/icgea54406.2022.9791960","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791960","url":null,"abstract":"","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130957450","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9792025
C. Iraklis, I. Nikolakakos, S. Sgouridis
Distributed energy resources (DER) typically help to increase the share of Renewable Energy Systems (RES) in the energy mix and decrease emissions of the power system. Their location in the network and their capacity is generally based on optimization studies to minimize power losses and congestion, while balancing line loading and node voltages. The quantification of this impact in technical and economic terms may help define a tariff, or structure a payment scheme for DER owners, and an incentive to participate in the energy mix in systems where markets are absent, e.g. enabling third-party integration in mini-grids, or vertically integrated utilities. In addition, virtual power plants (VPP) can aggregate and coordinate these DERs to provide a single power profile as an aggregation service in return for a payment through an adjusted tariff structure. This study discusses a methodology to quantify the techno- economic benefit to the system, in an attempt to explore potential opportunities for VPP implementation. A modified, intentionally congested, IEEE 30 bus network is used, with solar PV and Battery Energy Storage Systems (BESS), to quantify the impact of aggregated DER coordination in terms of power losses and congestion mitigation. The network management services market for the VPP considers two use cases: the offset of fuel- based generation and the replacement of ’Peaker’ plants. A high-level approach for assigning an economic value to these technical benefits is also discussed, considering the impact of the size of the VPP and its share in the energy mix.
{"title":"Assessment of Network Management Services Provided by Virtual Power Plants","authors":"C. Iraklis, I. Nikolakakos, S. Sgouridis","doi":"10.1109/icgea54406.2022.9792025","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792025","url":null,"abstract":"Distributed energy resources (DER) typically help to increase the share of Renewable Energy Systems (RES) in the energy mix and decrease emissions of the power system. Their location in the network and their capacity is generally based on optimization studies to minimize power losses and congestion, while balancing line loading and node voltages. The quantification of this impact in technical and economic terms may help define a tariff, or structure a payment scheme for DER owners, and an incentive to participate in the energy mix in systems where markets are absent, e.g. enabling third-party integration in mini-grids, or vertically integrated utilities. In addition, virtual power plants (VPP) can aggregate and coordinate these DERs to provide a single power profile as an aggregation service in return for a payment through an adjusted tariff structure. This study discusses a methodology to quantify the techno- economic benefit to the system, in an attempt to explore potential opportunities for VPP implementation. A modified, intentionally congested, IEEE 30 bus network is used, with solar PV and Battery Energy Storage Systems (BESS), to quantify the impact of aggregated DER coordination in terms of power losses and congestion mitigation. The network management services market for the VPP considers two use cases: the offset of fuel- based generation and the replacement of ’Peaker’ plants. A high-level approach for assigning an economic value to these technical benefits is also discussed, considering the impact of the size of the VPP and its share in the energy mix.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132859239","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791901
L. Silvestri, M. De Santis, G. Bella
The number of decommissioned batteries is increasing worldwide, and this growth also reflects the high demand of traction batteries employed in electric vehicles (EV). Therefore, the option to use second-life batteries from EVs is a global challenge for protecting the environment and promoting circular economy (CE) development. The industrial sector is increasingly implementing the CE principles in their business models to reach more efficient utilization of resources and sustainable businesses. Recent studies focused on the link between CE and climate change, highlighting the potential positive effects of CE eco-innovations on climate change mitigation. The present study aims to promote the transition to a circular open-loop economy for second-life batteries derived from EVs, evaluating the techno-economic performance and greenhouse gas emissions (GHG) associated to the integration of a battery energy storage system (BESS), made of spent batteries, serving a ball mill machine in a ceramic manufacturing plant. In particular, the average GHGs derived from the Italian electricity mix, in a midweek day, have been considered, assessing hourly emissions. This innovative approach is particularly suited for analyzing renewable energies intermittency. To this purpose, three different scenarios were modeled: Scenario 1, with no BESS; Scenario 2, with a second-life BESS with power grid support; and Scenario 3, with the second-life BESS combined with a standalone PV system. Results showed how the use or non-use of the BESS involves similar daily emissions (111.94 kgCO2eq and 111.69 kgCO2eq for Scenario 1 and Scenario 2, respectively) and costs (74.69 € and 73.05 € for Scenario 1 and Scenario 2, respectively). On the other hand, the use of green energy from the PV panel (Scenario 3) represents the best option for obtaining significant GHGs reduction and economic savings, decreasing both by approximatively 22% in respect to other scenarios, with an annual saving of approximatively 5,916 €. These outcomes suggest that the investment for a second-life BESS, serving a machine such as the ball mill, would imply economic and environmental benefits, as well as advantages from the grid side, enabling load levelling. As a consequence, governments may promote the use of BESS through incentives and, consequently, reducing the payback period.
{"title":"A Preliminary Techno-Economic and Environmental Performance Analysis of Using Second-Life EV Batteries in an Industrial Application","authors":"L. Silvestri, M. De Santis, G. Bella","doi":"10.1109/icgea54406.2022.9791901","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791901","url":null,"abstract":"The number of decommissioned batteries is increasing worldwide, and this growth also reflects the high demand of traction batteries employed in electric vehicles (EV). Therefore, the option to use second-life batteries from EVs is a global challenge for protecting the environment and promoting circular economy (CE) development. The industrial sector is increasingly implementing the CE principles in their business models to reach more efficient utilization of resources and sustainable businesses. Recent studies focused on the link between CE and climate change, highlighting the potential positive effects of CE eco-innovations on climate change mitigation. The present study aims to promote the transition to a circular open-loop economy for second-life batteries derived from EVs, evaluating the techno-economic performance and greenhouse gas emissions (GHG) associated to the integration of a battery energy storage system (BESS), made of spent batteries, serving a ball mill machine in a ceramic manufacturing plant. In particular, the average GHGs derived from the Italian electricity mix, in a midweek day, have been considered, assessing hourly emissions. This innovative approach is particularly suited for analyzing renewable energies intermittency. To this purpose, three different scenarios were modeled: Scenario 1, with no BESS; Scenario 2, with a second-life BESS with power grid support; and Scenario 3, with the second-life BESS combined with a standalone PV system. Results showed how the use or non-use of the BESS involves similar daily emissions (111.94 kgCO2eq and 111.69 kgCO2eq for Scenario 1 and Scenario 2, respectively) and costs (74.69 € and 73.05 € for Scenario 1 and Scenario 2, respectively). On the other hand, the use of green energy from the PV panel (Scenario 3) represents the best option for obtaining significant GHGs reduction and economic savings, decreasing both by approximatively 22% in respect to other scenarios, with an annual saving of approximatively 5,916 €. These outcomes suggest that the investment for a second-life BESS, serving a machine such as the ball mill, would imply economic and environmental benefits, as well as advantages from the grid side, enabling load levelling. As a consequence, governments may promote the use of BESS through incentives and, consequently, reducing the payback period.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116087044","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9792003
Sundar Raj Thangavelu, Kunna Wu, Tafone Alessio, A. Romagnoli, S. Morita
The decreasing cost of distributed technologies and digitalization and the increased openness of the electricity market transform buildings into active market participants. Energy-intensive buildings explore integrated renewables and distributed technologies to improve the building’s energy efficiency, reduce utility grid power and ultimately reduce the energy cost. This study proposes a design optimization methodology to achieve potential cost savings in buildings by identifying the optimal capacities of onsite renewables and other distributed technologies. The potential cost savings typically depend on buildings load characteristics, utility grid tariffs, and distributed technologies cost. A case study on a moderate-scale energy-intensive building in Singapore has been conducted. It shows that solar PV readily guarantees cost reduction while electrical and cold energy storage currently offers marginal cost benefits and can improve on future cost trends. The proposed design methodology can incorporate other technologies to examine the cost savings opportunities in buildings.
{"title":"Design Optimization of Integrated Renewables and Energy Storage for Commercial Buildings","authors":"Sundar Raj Thangavelu, Kunna Wu, Tafone Alessio, A. Romagnoli, S. Morita","doi":"10.1109/icgea54406.2022.9792003","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792003","url":null,"abstract":"The decreasing cost of distributed technologies and digitalization and the increased openness of the electricity market transform buildings into active market participants. Energy-intensive buildings explore integrated renewables and distributed technologies to improve the building’s energy efficiency, reduce utility grid power and ultimately reduce the energy cost. This study proposes a design optimization methodology to achieve potential cost savings in buildings by identifying the optimal capacities of onsite renewables and other distributed technologies. The potential cost savings typically depend on buildings load characteristics, utility grid tariffs, and distributed technologies cost. A case study on a moderate-scale energy-intensive building in Singapore has been conducted. It shows that solar PV readily guarantees cost reduction while electrical and cold energy storage currently offers marginal cost benefits and can improve on future cost trends. The proposed design methodology can incorporate other technologies to examine the cost savings opportunities in buildings.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115338837","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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