This study focuses on understanding municipal wastewater (MWW) constituents and assessing technological options to harness the energy content of wastewater in developing countries. There are numerous research studies related to water treatment technologies and wastewater energy value. However, it remains to be seen which perspectives actually make technology adoption feasible. This study explores and presents the potential for some viable and innovative MWW treatment plant (WWTP) systems as a paradigm shift towards resource recovery, energy neutrality and the production of renewable energy by WWTPs. Various cost-effective opportunities related to operational strategies, plant redesign and the upgrading of current WWTPs that can foster self-reliant communities were visualised. Thermal and chemical pretreatments, sequential batch reactors, anaerobic membrane fluidised bioreactors, ammonia-based aeration control and combined heat and power systems can collectively contribute to energy recovery by WWTPs, ranging from 85 to 111%. The study suggests that upgrading the system to become an energy self-reliant water treatment system outweighs the multimode costs associated with health and ecological damages by reducing diseases, pollution and poor productivity regimes.
{"title":"Municipal wastewater for energy generation: a favourable approach for developing nations","authors":"Masooma Batool, Laila Shahzad, Arifa Tahir","doi":"10.1680/jener.23.00019","DOIUrl":"https://doi.org/10.1680/jener.23.00019","url":null,"abstract":"This study focuses on understanding municipal wastewater (MWW) constituents and assessing technological options to harness the energy content of wastewater in developing countries. There are numerous research studies related to water treatment technologies and wastewater energy value. However, it remains to be seen which perspectives actually make technology adoption feasible. This study explores and presents the potential for some viable and innovative MWW treatment plant (WWTP) systems as a paradigm shift towards resource recovery, energy neutrality and the production of renewable energy by WWTPs. Various cost-effective opportunities related to operational strategies, plant redesign and the upgrading of current WWTPs that can foster self-reliant communities were visualised. Thermal and chemical pretreatments, sequential batch reactors, anaerobic membrane fluidised bioreactors, ammonia-based aeration control and combined heat and power systems can collectively contribute to energy recovery by WWTPs, ranging from 85 to 111%. The study suggests that upgrading the system to become an energy self-reliant water treatment system outweighs the multimode costs associated with health and ecological damages by reducing diseases, pollution and poor productivity regimes.","PeriodicalId":48776,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Energy","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140314315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This work compares different thermal heat storage solutions existing in the market, fueled with energy from different renewable energy sources with a focus on integrating it into the district heating grid. The paper bases a case on the municipality of Silkeborg, which has the largest solar thermal panel plant in northern Europe. It has been possible to collect data on the produced energy for the municipality of Silkeborg from different renewable energy sources. We used a theoretical approach to compare with assumed excess power from wind and solar in the DK1 area, with Silkeborg's allocated excess power at 0.01%. This yielded overall efficiencies between η = 0.739 - 0.765 and η = 0.864 - 0.895 for the Silkeborg solar thermal plant. These data have been utilized in the analysis, where the journey from harvesting the renewable energy until it reaches the end consumer, comparing the different solutions. Four different thermal heat storage solutions were compared: Tank Thermal Energy Storage, Pit Energy Storage, Aquifer Thermal Energy Storage, and Borehole Energy Storage (BTES). The analysis showed that the best solution for storing thermal energy for a longer period of time was the BTES out of the four solutions compared, with the lowest heat loss rate of 0.6% and the highest efficiency of up to 89.5%. However, some complications make it difficult to establish a BTES storage solution, since it is very much dependent on the earth's conditions and initial capital.
{"title":"Long-term heat storage opportunities of renewable energy for district heating networks","authors":"Kristian Emil Schrøder Hansen, George Xydis","doi":"10.1680/jener.23.00023","DOIUrl":"https://doi.org/10.1680/jener.23.00023","url":null,"abstract":"This work compares different thermal heat storage solutions existing in the market, fueled with energy from different renewable energy sources with a focus on integrating it into the district heating grid. The paper bases a case on the municipality of Silkeborg, which has the largest solar thermal panel plant in northern Europe. It has been possible to collect data on the produced energy for the municipality of Silkeborg from different renewable energy sources. We used a theoretical approach to compare with assumed excess power from wind and solar in the DK1 area, with Silkeborg's allocated excess power at 0.01%. This yielded overall efficiencies between <i>η</i> = 0.739 - 0.765 and <i>η</i> = 0.864 - 0.895 for the Silkeborg solar thermal plant. These data have been utilized in the analysis, where the journey from harvesting the renewable energy until it reaches the end consumer, comparing the different solutions. Four different thermal heat storage solutions were compared: Tank Thermal Energy Storage, Pit Energy Storage, Aquifer Thermal Energy Storage, and Borehole Energy Storage (BTES). The analysis showed that the best solution for storing thermal energy for a longer period of time was the BTES out of the four solutions compared, with the lowest heat loss rate of 0.6% and the highest efficiency of up to 89.5%. However, some complications make it difficult to establish a BTES storage solution, since it is very much dependent on the earth's conditions and initial capital.","PeriodicalId":48776,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Energy","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138716494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The load profile of radial distribution networks (RDN) gets significantly impacted when plug- in electric vehicles (PEVs) are connected to it in large numbers. The disturbances in the load profile may lead to increased power losses in distribution lines, and deterioration of network voltage profile. Provision of distributed generation (DG) at strategic locations in the distribution network can help to compensate the impact on the electrical network due to PEVs loads. This paper proposes the use of Machine Learning (ML) based models for determining the optimal location of distributed generators (DGs) in RDN. The proposed method considered time-varying load in addition to PEVs load. The suggested method determines optimal DGs placement based on Power loss reduction index (PLRI), and Voltage deviation index reduction index (VDIRI). Four distinct types of ML models were used in the proposed approach using synthesized data on IEEE 33-bus RDN. The performance of the ML models were evaluated with respect to mean squared error (MSE) and mean absolute percentage error (MAPE) and, for the ML models considered, Random Forest ML model gave the best performance.
{"title":"ML based framework for optimal distributed generation management including EV loading","authors":"Ch Sekhar Gujjarlapudi, Dipu Sarkar, Sravan Kumar Gunturi, Yanrenthung Odyuo","doi":"10.1680/jener.23.00012","DOIUrl":"https://doi.org/10.1680/jener.23.00012","url":null,"abstract":"The load profile of radial distribution networks (RDN) gets significantly impacted when plug- in electric vehicles (PEVs) are connected to it in large numbers. The disturbances in the load profile may lead to increased power losses in distribution lines, and deterioration of network voltage profile. Provision of distributed generation (DG) at strategic locations in the distribution network can help to compensate the impact on the electrical network due to PEVs loads. This paper proposes the use of Machine Learning (ML) based models for determining the optimal location of distributed generators (DGs) in RDN. The proposed method considered time-varying load in addition to PEVs load. The suggested method determines optimal DGs placement based on Power loss reduction index (PLRI), and Voltage deviation index reduction index (VDIRI). Four distinct types of ML models were used in the proposed approach using synthesized data on IEEE 33-bus RDN. The performance of the ML models were evaluated with respect to mean squared error (MSE) and mean absolute percentage error (MAPE) and, for the ML models considered, Random Forest ML model gave the best performance.","PeriodicalId":48776,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Energy","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138509564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sukanta Roga, Hiren Dahiwale, Shawli Bardhan, Sunanda Sinha
Access to sustainable energy is pivotal for economic development and environmental stewardship. The shift towards renewable energy is essential for mitigating climate change and ensuring long-term energy sustainability. Though developing nations possess significant renewable energy capacity, transitioning to renewable sources remains a challenge. Wind energy is playing a significant role in enhancing global renewable energy capacity, with its effectiveness varying based on regional topography. India's growing wind energy market holds promise, contributing to reduced carbon emissions and sustainable energy production. This research leverages Windographer to conduct a comprehensive analysis of the wind energy potential at the distinct site of Nagpur, located in India. The evaluation encompasses monthly average wind speeds, prevailing wind directions depicted through wind rose diagrams, and wind power density calculations, collectively determining the site's classification. In this study, Weibull parameters are derived using four distinct methods to estimate the probability distribution function. The average wind power density is found to be 13.63 W/m² and 71.08 W/m² at heights of 10m AGL and 100m AGL, respectively. Through wind turbine output analysis, numerous turbine models are assessed for suitability at the specified location. Remarkably, the Windtec DD 3000-125 model displays the highest capacity factor of 9.27%. The findings underscore a relatively modest wind potential in the examined area. Nonetheless, this site can generate approximately 24,12,379 kW/year of electricity using the aforementioned wind turbine model.
{"title":"Wind energy potential assessment: a case study in Central India","authors":"Sukanta Roga, Hiren Dahiwale, Shawli Bardhan, Sunanda Sinha","doi":"10.1680/jener.22.00016","DOIUrl":"https://doi.org/10.1680/jener.22.00016","url":null,"abstract":"Access to sustainable energy is pivotal for economic development and environmental stewardship. The shift towards renewable energy is essential for mitigating climate change and ensuring long-term energy sustainability. Though developing nations possess significant renewable energy capacity, transitioning to renewable sources remains a challenge. Wind energy is playing a significant role in enhancing global renewable energy capacity, with its effectiveness varying based on regional topography. India's growing wind energy market holds promise, contributing to reduced carbon emissions and sustainable energy production. This research leverages Windographer to conduct a comprehensive analysis of the wind energy potential at the distinct site of Nagpur, located in India. The evaluation encompasses monthly average wind speeds, prevailing wind directions depicted through wind rose diagrams, and wind power density calculations, collectively determining the site's classification. In this study, Weibull parameters are derived using four distinct methods to estimate the probability distribution function. The average wind power density is found to be 13.63 W/m² and 71.08 W/m² at heights of 10m AGL and 100m AGL, respectively. Through wind turbine output analysis, numerous turbine models are assessed for suitability at the specified location. Remarkably, the Windtec DD 3000-125 model displays the highest capacity factor of 9.27%. The findings underscore a relatively modest wind potential in the examined area. Nonetheless, this site can generate approximately 24,12,379 kW/year of electricity using the aforementioned wind turbine model.","PeriodicalId":48776,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Energy","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138509570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Human habitats are one of the major consumers of energy. Therefore, in the current age of increasing carbon footprints, analyzing energy efficiency of a building is imminent, which has been taken up in the current work. Machine learning based Artificial Neural Network-ANN approach is used in the current work to study building-energy-performance. Total eight parameters; relative compactness, surface area, wall area and roof area of the building, overall height, and orientation of the building, glazing area and its distribution are selected as the input parameters and heating and cooling loads as the output parameters. The network prediction capability was checked by comparing the predictions of the ANN architecture with the benchmark test case. A well trained and validated ANN is used to predict 96 conditions by varying glazing area and glazing area distribution. ANN is found to capture the physics efficiently. This study revealed that there is a significant potential to improve the energy efficiency of the building and the maximum saving in the cooling load can be as high as 20.67% for a fraction of the glazing areas equal to 0.15 if glazing area distribution is kept 32.5% in North, and 22.5% each in the East, South and West.
{"title":"Prediction of energy performance of residential buildings using regularized neural models","authors":"Komal Siwach, Harsh Kumar, Nekram Rawal, Kuldeep Singh, Anubhav Rawat","doi":"10.1680/jener.23.00017","DOIUrl":"https://doi.org/10.1680/jener.23.00017","url":null,"abstract":"Human habitats are one of the major consumers of energy. Therefore, in the current age of increasing carbon footprints, analyzing energy efficiency of a building is imminent, which has been taken up in the current work. Machine learning based Artificial Neural Network-ANN approach is used in the current work to study building-energy-performance. Total eight parameters; relative compactness, surface area, wall area and roof area of the building, overall height, and orientation of the building, glazing area and its distribution are selected as the input parameters and heating and cooling loads as the output parameters. The network prediction capability was checked by comparing the predictions of the ANN architecture with the benchmark test case. A well trained and validated ANN is used to predict 96 conditions by varying glazing area and glazing area distribution. ANN is found to capture the physics efficiently. This study revealed that there is a significant potential to improve the energy efficiency of the building and the maximum saving in the cooling load can be as high as 20.67% for a fraction of the glazing areas equal to 0.15 if glazing area distribution is kept 32.5% in North, and 22.5% each in the East, South and West.","PeriodicalId":48776,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Energy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135091744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Power system expansion planning has traditionally been conducted in two phases: optimisation of the future generation system to satisfy forecast demands, followed by that of a complementary transmission system. However, it is now computationally realistic to optimise both aspects simultaneously, even for large and complex systems. At the same time, the range of candidate generation plant types to be considered has widened considerably, with the technical and economic characteristics of wind, solar and biomass plants now having to be compared with those of conventional thermal and hydro plants. It is also becoming increasingly important to take explicit account, within the planning process, of the so-called ‘externalities’ such as emission limits, budget constraints and demand-management measures, in addition to the environmental costs and secondary benefits associated with individual projects. This paper describes the results of a study to demonstrate the feasibility of explicitly considering a range of externalities when mathematically optimising integrated generation and transmission system expansion plans, using the Vietnamese power system as an example.
{"title":"Incorporating externalities when optimising power system expansion plans: a case study for Vietnam","authors":"Timothy Wyatt","doi":"10.1680/jener.22.00066","DOIUrl":"https://doi.org/10.1680/jener.22.00066","url":null,"abstract":"Power system expansion planning has traditionally been conducted in two phases: optimisation of the future generation system to satisfy forecast demands, followed by that of a complementary transmission system. However, it is now computationally realistic to optimise both aspects simultaneously, even for large and complex systems. At the same time, the range of candidate generation plant types to be considered has widened considerably, with the technical and economic characteristics of wind, solar and biomass plants now having to be compared with those of conventional thermal and hydro plants. It is also becoming increasingly important to take explicit account, within the planning process, of the so-called ‘externalities’ such as emission limits, budget constraints and demand-management measures, in addition to the environmental costs and secondary benefits associated with individual projects. This paper describes the results of a study to demonstrate the feasibility of explicitly considering a range of externalities when mathematically optimising integrated generation and transmission system expansion plans, using the Vietnamese power system as an example.","PeriodicalId":48776,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Energy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135191982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A global endeavour to accelerate decarbonisation of the economy and to encourage the use of diverse non-fossil-fuel energy vectors, including hydrogen is underway. Hydrogen transitions are mainly driven by technological specifications and centred on the adoption of new specialised skills. Limited attention is given to other social aspects such as workforce diversity, and existing local skills sets, which are also critical to enabling such transitions. There is strong evidence that the energy sector is male-dominated. However, there is growing consensus that gender diversity in energy sector workforces can bring about socio-economic and environmental benefits. Place (geography) is also increasingly gaining recognition as a key driver of social, economic and environmental benefits from energy transition. This paper reviews 26 national and regional hydrogen strategies, through a gendered analysis and a place-based perspective, to evaluate the extent to which developing hydrogen solutions in a range of locations is furthering Equality, Diversity and Inclusion (EDI) towards a just transition - a fair distribution of benefits and opportunities across genders. The paper aims to open up a discussion with engineers, decision-makers and hydrogen industry professionals about applying gendered and place-specific analysis to emerging decarbonisation technologies.
{"title":"Equality, diversity and inclusion and gendered analysis for place-based hydrogen solutions","authors":"Giulia M. Mininni, Ralitsa Hiteva","doi":"10.1680/jener.22.00068","DOIUrl":"https://doi.org/10.1680/jener.22.00068","url":null,"abstract":"A global endeavour to accelerate decarbonisation of the economy and to encourage the use of diverse non-fossil-fuel energy vectors, including hydrogen is underway. Hydrogen transitions are mainly driven by technological specifications and centred on the adoption of new specialised skills. Limited attention is given to other social aspects such as workforce diversity, and existing local skills sets, which are also critical to enabling such transitions. There is strong evidence that the energy sector is male-dominated. However, there is growing consensus that gender diversity in energy sector workforces can bring about socio-economic and environmental benefits. Place (geography) is also increasingly gaining recognition as a key driver of social, economic and environmental benefits from energy transition. This paper reviews 26 national and regional hydrogen strategies, through a gendered analysis and a place-based perspective, to evaluate the extent to which developing hydrogen solutions in a range of locations is furthering Equality, Diversity and Inclusion (EDI) towards a just transition - a fair distribution of benefits and opportunities across genders. The paper aims to open up a discussion with engineers, decision-makers and hydrogen industry professionals about applying gendered and place-specific analysis to emerging decarbonisation technologies.","PeriodicalId":48776,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Energy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135888145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sabrina da Silva Corrêa, Júlia Danielle Silva de Souza, Andreia Azevedo Abrantes de Oliveira, Saulo de Tarso Marques Bezerra
Energy recovery and pressure management are essential to achieve sustainable improvements in the development of water distribution systems (WDS). An alternative that has been studied worldwide is the use of pumps as turbines (PAT) replacing pressure reducing valves (PRV) to conciliate pressure control and energy production. This work aims to investigate the current and most recent literature regarding the use of PAT, addressing technical and economic implications that the technical-scientific community has analyzed. The search terms used in the Scopus and Web of Science databases were {‘pump as turbine’ AND ‘water supply network’, ‘water distribution network’ OR ‘water distribution system’}. A total of 59 papers were analyzed, highlighting the operation of PAT as well as selection and location methods, with the evaluation of electricity production, decreased leaks, and especially a suitable cost/benefit ratio. The review indicates that PAT have been infrequently used in real systems. However, the application is greatly feasible from the technical and economic points of view, and in a scenario of variable-speed PAT, the amount of energy produced is high. Future research should be directed to the optimization of new PAT settings so they can better deal with the operational variations in the systems.
能源回收和压力管理对于实现配水系统(WDS)发展的可持续改进至关重要。世界范围内正在研究的一种替代方案是使用泵作为涡轮机(PAT)取代减压阀(PRV)来协调压力控制和能源生产。这项工作的目的是调查目前和最近关于PAT使用的文献，解决技术-科学界已经分析的技术和经济影响。在Scopus和Web of Science数据库中使用的搜索词是{' pump as turbine ' and ' water supply network '， ' water distribution network ' OR ' water distribution system '}。共分析了59篇论文，重点介绍了PAT的运行以及选择和选址方法，评估了发电量，减少了泄漏，特别是合适的成本效益比。审查表明，PAT在实际系统中很少使用。然而，从技术和经济的角度来看，应用是非常可行的，并且在变速PAT的情况下，产生的能量量很高。未来的研究应针对新的PAT设置的优化，以便它们能够更好地处理系统中的操作变化。
{"title":"Pumps as turbines for energy recovery in water distribution systems: a review","authors":"Sabrina da Silva Corrêa, Júlia Danielle Silva de Souza, Andreia Azevedo Abrantes de Oliveira, Saulo de Tarso Marques Bezerra","doi":"10.1680/jener.23.00001","DOIUrl":"https://doi.org/10.1680/jener.23.00001","url":null,"abstract":"Energy recovery and pressure management are essential to achieve sustainable improvements in the development of water distribution systems (WDS). An alternative that has been studied worldwide is the use of pumps as turbines (PAT) replacing pressure reducing valves (PRV) to conciliate pressure control and energy production. This work aims to investigate the current and most recent literature regarding the use of PAT, addressing technical and economic implications that the technical-scientific community has analyzed. The search terms used in the Scopus and Web of Science databases were {‘pump as turbine’ AND ‘water supply network’, ‘water distribution network’ OR ‘water distribution system’}. A total of 59 papers were analyzed, highlighting the operation of PAT as well as selection and location methods, with the evaluation of electricity production, decreased leaks, and especially a suitable cost/benefit ratio. The review indicates that PAT have been infrequently used in real systems. However, the application is greatly feasible from the technical and economic points of view, and in a scenario of variable-speed PAT, the amount of energy produced is high. Future research should be directed to the optimization of new PAT settings so they can better deal with the operational variations in the systems.","PeriodicalId":48776,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Energy","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136307160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The aim of the present study is to analyse the importance of considering the variation in the discharge coefficient (Cd) of a sluice passage and the tidal current speed (i.e., the flow speed approaching the passage) in improving the estimation of power output for a tidal power plant. The simulation results, using a commercial CFD software package, Flow 3D, have shown that the Cd value of a sluice passage varies with the upstream (i.e., on the sea side of the impounded area) water level. In addition, the results of a case study carried out in the Taedong Bay (the DPR Korea), using a zero-dimensional (0-D) model, highlight the importance of considering variations in the tidal current speed as well as Cd when estimating the power output for tidal power plant. In the present study, a detailed scheme is proposed to consider the approach speed at each stage of filling, holding, generating, and holding for the mode of ebb generation. It is hoped that the results of the present study will help scientists, engineers, and decision makers to accurately evaluate the tidal power output of tidal barrages and lagoons in many regions of the world. Highlights • The tidal current speed change must be considered in tidal power output estimation. • The tidal current speed is considered in different ways during a tidal cycle. • The variation in discharge coefficient of a sluice passage must also be considered. • The discharge coefficient gradually decreases as the upstream water level increases.
{"title":"Improving the power output estimation for a tidal power plant: A case study","authors":"Kwang-Su Kim, Jong-Song Jo","doi":"10.1680/jener.23.00007","DOIUrl":"https://doi.org/10.1680/jener.23.00007","url":null,"abstract":"The aim of the present study is to analyse the importance of considering the variation in the discharge coefficient (Cd) of a sluice passage and the tidal current speed (i.e., the flow speed approaching the passage) in improving the estimation of power output for a tidal power plant. The simulation results, using a commercial CFD software package, Flow 3D, have shown that the Cd value of a sluice passage varies with the upstream (i.e., on the sea side of the impounded area) water level. In addition, the results of a case study carried out in the Taedong Bay (the DPR Korea), using a zero-dimensional (0-D) model, highlight the importance of considering variations in the tidal current speed as well as Cd when estimating the power output for tidal power plant. In the present study, a detailed scheme is proposed to consider the approach speed at each stage of filling, holding, generating, and holding for the mode of ebb generation. It is hoped that the results of the present study will help scientists, engineers, and decision makers to accurately evaluate the tidal power output of tidal barrages and lagoons in many regions of the world. Highlights • The tidal current speed change must be considered in tidal power output estimation. • The tidal current speed is considered in different ways during a tidal cycle. • The variation in discharge coefficient of a sluice passage must also be considered. • The discharge coefficient gradually decreases as the upstream water level increases.","PeriodicalId":48776,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Energy","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90382459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David Vandercruyssen, S. Baker, D. Howard, G. Aggidis
Financial viability and political will ultimately determine if tidal range power schemes are developed. This research aims to demonstrate a robust system to make initial estimates of capital costs for tidal range schemes that can be compared between systems and options. A levelised cost of energy (LCOE) is used to compare a tidal range barrage (Morecambe Bay) and a coastal tidal lagoon (North Wales); the schemes are set in context with other common energy sources. The results show the Morecambe Bay barrage generates marginally more electricity than the North Wales coastal lagoon and has a shorter impoundment at lower cost. However, the economic arguments for both schemes are similar; both are viable as the LCOE shows. Despite being shown to be financially viable, the sources of funding may remain a problem. Financial returns and two potential public funding mechanisms are discussed. The approach using two simple models makes a strong case for more detailed analysis and, in the current environmental, economic, and social climate serious decisions must be taken. Highlights · Initial estimation of capital cost for tidal range case studies using 5-main components · Optimisation of generator rating, number of turbines and sluices · Levelised cost of energy (LCOE). · Revenue and funding mechanisms.
{"title":"Tidal range power generation: case studies combining the Lancaster 0-D generation and cost models","authors":"David Vandercruyssen, S. Baker, D. Howard, G. Aggidis","doi":"10.1680/jener.22.00077","DOIUrl":"https://doi.org/10.1680/jener.22.00077","url":null,"abstract":"Financial viability and political will ultimately determine if tidal range power schemes are developed. This research aims to demonstrate a robust system to make initial estimates of capital costs for tidal range schemes that can be compared between systems and options. A levelised cost of energy (LCOE) is used to compare a tidal range barrage (Morecambe Bay) and a coastal tidal lagoon (North Wales); the schemes are set in context with other common energy sources. The results show the Morecambe Bay barrage generates marginally more electricity than the North Wales coastal lagoon and has a shorter impoundment at lower cost. However, the economic arguments for both schemes are similar; both are viable as the LCOE shows. Despite being shown to be financially viable, the sources of funding may remain a problem. Financial returns and two potential public funding mechanisms are discussed. The approach using two simple models makes a strong case for more detailed analysis and, in the current environmental, economic, and social climate serious decisions must be taken. Highlights · Initial estimation of capital cost for tidal range case studies using 5-main components · Optimisation of generator rating, number of turbines and sluices · Levelised cost of energy (LCOE). · Revenue and funding mechanisms.","PeriodicalId":48776,"journal":{"name":"Proceedings of the Institution of Civil Engineers-Energy","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90000811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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