This article discusses two methods to control the output voltage of switched reluctance generators (SRGs) used in wind generator systems. To reduce the ripple of the SRG output voltage, a closed-loop voltage control technique has been designed. In the first method, a proportional-integral (PI) controller is used. The parameters of the PI controller are tuned based on the voltage variation. The SRG is generally characterized by strong nonlinearities. However, finding appropriate values for the PI controller is not an easy task. To overcome this problem and simplify the process of tuning the PI controller parameters, a solution based on the ant colony optimization algorithm (ACO) was developed. To settle the PI parameters, several cost functions are used in the implementation of the ACO algorithm. To control the SRG output voltage, a second method was developed based on the fuzzy logic controller. Unlike several previous works, the proposed methods, ACO and fuzzy logic control, are easy to implement and can solve numerous optimization problems. To check the best approach, a comparison between the two methods was performed. Finally, to show the effectiveness of this study, we present examples of simulations that entail the use of a three-phase SRG with a 12/8 structure and SIMULINK tools.
{"title":"Ant colony optimization algorithm and fuzzy logic for switched reluctance generator control","authors":"Rabyi Tarik, B. Adil","doi":"10.3934/energy.2022045","DOIUrl":"https://doi.org/10.3934/energy.2022045","url":null,"abstract":"This article discusses two methods to control the output voltage of switched reluctance generators (SRGs) used in wind generator systems. To reduce the ripple of the SRG output voltage, a closed-loop voltage control technique has been designed. In the first method, a proportional-integral (PI) controller is used. The parameters of the PI controller are tuned based on the voltage variation. The SRG is generally characterized by strong nonlinearities. However, finding appropriate values for the PI controller is not an easy task. To overcome this problem and simplify the process of tuning the PI controller parameters, a solution based on the ant colony optimization algorithm (ACO) was developed. To settle the PI parameters, several cost functions are used in the implementation of the ACO algorithm. To control the SRG output voltage, a second method was developed based on the fuzzy logic controller. Unlike several previous works, the proposed methods, ACO and fuzzy logic control, are easy to implement and can solve numerous optimization problems. To check the best approach, a comparison between the two methods was performed. Finally, to show the effectiveness of this study, we present examples of simulations that entail the use of a three-phase SRG with a 12/8 structure and SIMULINK tools.","PeriodicalId":45696,"journal":{"name":"AIMS Energy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70229847","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}
The year 2022 is characterized by a generalized energy crisis, which leads to steadily increasing electricity prices around the world, while the corresponding salaries remain stable. Therefore, examining trends in electricity prices relative to existing income levels can provide valuable insights into the overpricing/underpricing of energy consumption. In this article, we examine the tendencies of 35 European countries according to their national kWh prices and the average household incomes. We use a series of established clustering methods that leverage available information to reveal price and income patterns across Europe. We obtain important information on the balance between family earnings and electricity prices in each European country and are able to identify countries and regions that offer the most and least favorable economic conditions based on these two characteristics studied. Our analysis reveals the existence of four price and income patterns that reflect geographical differences across Europe. Countries such as Iceland, Norway, and Luxembourg exhibit the most favorable balance between prices and earnings. Conversely, electricity prices appear to be overpriced in many southern and eastern countries, with Portugal being the most prominent example of this phenomenon. In general, average household incomes become more satisfactory for European citizens as we move from east to west and south to north. In contrast, the respective national electricity prices do not follow this geographical pattern, leading to notable imbalances. After identifying significant cases of inflated prices, we investigate the respective causes of the observed situation with the aim of explaining this extreme behavior with exogenous factors. Finally, it becomes clear that the recent increase in energy prices should not be considered as a completely unexpected event, but rather as a phenomenon that has occurred and developed gradually over the years.
{"title":"On the detection of patterns in electricity prices across European countries: An unsupervised machine learning approach","authors":"Dimitrios Saligkaras, Vasileios E. Papageorgiou","doi":"10.3934/energy.2022054","DOIUrl":"https://doi.org/10.3934/energy.2022054","url":null,"abstract":"The year 2022 is characterized by a generalized energy crisis, which leads to steadily increasing electricity prices around the world, while the corresponding salaries remain stable. Therefore, examining trends in electricity prices relative to existing income levels can provide valuable insights into the overpricing/underpricing of energy consumption. In this article, we examine the tendencies of 35 European countries according to their national kWh prices and the average household incomes. We use a series of established clustering methods that leverage available information to reveal price and income patterns across Europe. We obtain important information on the balance between family earnings and electricity prices in each European country and are able to identify countries and regions that offer the most and least favorable economic conditions based on these two characteristics studied. Our analysis reveals the existence of four price and income patterns that reflect geographical differences across Europe. Countries such as Iceland, Norway, and Luxembourg exhibit the most favorable balance between prices and earnings. Conversely, electricity prices appear to be overpriced in many southern and eastern countries, with Portugal being the most prominent example of this phenomenon. In general, average household incomes become more satisfactory for European citizens as we move from east to west and south to north. In contrast, the respective national electricity prices do not follow this geographical pattern, leading to notable imbalances. After identifying significant cases of inflated prices, we investigate the respective causes of the observed situation with the aim of explaining this extreme behavior with exogenous factors. Finally, it becomes clear that the recent increase in energy prices should not be considered as a completely unexpected event, but rather as a phenomenon that has occurred and developed gradually over the years.","PeriodicalId":45696,"journal":{"name":"AIMS Energy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70230098","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}
A microgrid is a concept that has been developed with the increasing penetration of distributed generators. With the increasing penetration of distributed energy resources in the microgrids, along with advanced control and communication technologies, the traditional microgrid concept is being transited towards the concept of microgrid clustering. It decomposes the distribution system into several interconnected microgrids, effectively reducing problems such as voltage rise, harmonics, poor power factor, reverse power flow and failure of the conventional protection schemes. Microgrid clusters effectively coordinate power sharing among microgrids and the main grid, improving the stability, reliability and efficiency of the distribution network at the consumption premises. Despite the evident benefits of microgrid clusters to the consumers and the electrical utility, there are challenges to overcome before adopting the microgrid cluster concept. This paper is aimed at critically reviewing the challenges in design aspects of microgrid clustering. Categorization of multi-microgrids into different architectures based on the layout of the interconnections, evaluation of reported control techniques in microgrid clustering and multi-microgrid protection aspects are presented, highlighting the possible areas of future research that would improve the operational aspects of microgrid clusters.
{"title":"Design and protection of microgrid clusters: A comprehensive review","authors":"W. E. P. Sampath Ediriweera, N. Lidula","doi":"10.3934/energy.2022020","DOIUrl":"https://doi.org/10.3934/energy.2022020","url":null,"abstract":"A microgrid is a concept that has been developed with the increasing penetration of distributed generators. With the increasing penetration of distributed energy resources in the microgrids, along with advanced control and communication technologies, the traditional microgrid concept is being transited towards the concept of microgrid clustering. It decomposes the distribution system into several interconnected microgrids, effectively reducing problems such as voltage rise, harmonics, poor power factor, reverse power flow and failure of the conventional protection schemes. Microgrid clusters effectively coordinate power sharing among microgrids and the main grid, improving the stability, reliability and efficiency of the distribution network at the consumption premises. Despite the evident benefits of microgrid clusters to the consumers and the electrical utility, there are challenges to overcome before adopting the microgrid cluster concept. This paper is aimed at critically reviewing the challenges in design aspects of microgrid clustering. Categorization of multi-microgrids into different architectures based on the layout of the interconnections, evaluation of reported control techniques in microgrid clustering and multi-microgrid protection aspects are presented, highlighting the possible areas of future research that would improve the operational aspects of microgrid clusters.","PeriodicalId":45696,"journal":{"name":"AIMS Energy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70226514","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}
Renewable energy technologies such as solar, thermal, wind, hydro, bio-fuels, fuel cells etc. are becoming trendy and being commissioned in large-scales, due to their environmental friendliness and energy sustainability. This manuscript focuses on alternative energy based-on thermoelectricity, particularly thermoelectric generators (TEGs). From the literature review, there is less emphasis on how multiple TEGs can be best configured electrically for optimum operations. In light of this, Matlab/Simulink were employed to institute a unique theoretical framework, that can easily be comprehensively used to simulate thermoelectricity parameters, with focus to determine TEG modules (of any quantity/configuration) optimal resistance matching and performance. The principal findings of the study are; 1) the effects of TEGs internal resistance, which proportionally causes output voltage drop and power loss as well as efficiency loss and 2) TEG modules may not be connected anyhow in series and or in parallel, but in a setup that gives a total electrical resistance that matches the load electrical resistance. Thus, TEGs should be a) of the same model with the same or approximate internal resistance, b) in a configuration whereby the TEGs total resistance equals the load resistance, as doing so ensures maximum power is transferred between the source (TEGs) and the electrical load and c) preferably be in a symmetrical electrical configuration. A symmetrical electrical configuration ensures ⅰ) the TEG modules total output resistance, irrespective of the quantity used, approximates that of a single TEG, with the overall TEG modules simply becoming now one large powerful TEG having an equivalent resistance of a single TEG and ⅱ) the TEGs power, voltage and current operations are optimal.
{"title":"Thermoelectric Generators (TEGs) modules—Optimum electrical configurations and performance determination","authors":"Nganyang Paul Bayendang, M. Kahn, V. Balyan","doi":"10.3934/energy.2022007","DOIUrl":"https://doi.org/10.3934/energy.2022007","url":null,"abstract":"Renewable energy technologies such as solar, thermal, wind, hydro, bio-fuels, fuel cells etc. are becoming trendy and being commissioned in large-scales, due to their environmental friendliness and energy sustainability. This manuscript focuses on alternative energy based-on thermoelectricity, particularly thermoelectric generators (TEGs). From the literature review, there is less emphasis on how multiple TEGs can be best configured electrically for optimum operations. In light of this, Matlab/Simulink were employed to institute a unique theoretical framework, that can easily be comprehensively used to simulate thermoelectricity parameters, with focus to determine TEG modules (of any quantity/configuration) optimal resistance matching and performance. The principal findings of the study are; 1) the effects of TEGs internal resistance, which proportionally causes output voltage drop and power loss as well as efficiency loss and 2) TEG modules may not be connected anyhow in series and or in parallel, but in a setup that gives a total electrical resistance that matches the load electrical resistance. Thus, TEGs should be a) of the same model with the same or approximate internal resistance, b) in a configuration whereby the TEGs total resistance equals the load resistance, as doing so ensures maximum power is transferred between the source (TEGs) and the electrical load and c) preferably be in a symmetrical electrical configuration. A symmetrical electrical configuration ensures ⅰ) the TEG modules total output resistance, irrespective of the quantity used, approximates that of a single TEG, with the overall TEG modules simply becoming now one large powerful TEG having an equivalent resistance of a single TEG and ⅱ) the TEGs power, voltage and current operations are optimal.","PeriodicalId":45696,"journal":{"name":"AIMS Energy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70225849","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}
Ali Boharb, A. Allouhi, H. El-houari, H. El Markhi, A. Jamil, T. Kousksou
Energy audits are an essential tool for improving energy efficiency and saving energy in various sectors, especially in the building sector. It is a vital tool for supporting the renovation of buildings and attaining carbon neutrality in this sector. In this article, we report an energy audit of a university campus based in Fez, Morocco. A detailed diagnosis combined with an accurate analysis of the electrical consumption of each system on campus has enabled us to identify the energy consuming systems and to propose a suitable energy saving strategy. A photovoltaic plant has been implemented at the campus to reduce its dependence to the electrical grid. The proposed actions resulting from this energy audit revealed that the campus can save 161 MWh of electrical energy and avoid 120 tons of CO2 emissions per year. This corresponds to a 33% reduction compared to the initial situation. The total investment has been estimated at 55 800 ＄ and the overall payback period does not exceed 2.8 years.
{"title":"Energy audit method applied to tertiary buildings: Case study of a University campus","authors":"Ali Boharb, A. Allouhi, H. El-houari, H. El Markhi, A. Jamil, T. Kousksou","doi":"10.3934/energy.2022025","DOIUrl":"https://doi.org/10.3934/energy.2022025","url":null,"abstract":"Energy audits are an essential tool for improving energy efficiency and saving energy in various sectors, especially in the building sector. It is a vital tool for supporting the renovation of buildings and attaining carbon neutrality in this sector. In this article, we report an energy audit of a university campus based in Fez, Morocco. A detailed diagnosis combined with an accurate analysis of the electrical consumption of each system on campus has enabled us to identify the energy consuming systems and to propose a suitable energy saving strategy. A photovoltaic plant has been implemented at the campus to reduce its dependence to the electrical grid. The proposed actions resulting from this energy audit revealed that the campus can save 161 MWh of electrical energy and avoid 120 tons of CO2 emissions per year. This corresponds to a 33% reduction compared to the initial situation. The total investment has been estimated at 55 800 ＄ and the overall payback period does not exceed 2.8 years.","PeriodicalId":45696,"journal":{"name":"AIMS Energy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70226154","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}
H. Fedayi, Mikaeel Ahmadi, Abdul Basir Faiq, N. Urasaki, T. Senjyu
With the increase in the integration of renewable energy resources in the grid and ongoing growth in load demand worldwide, existing transmission lines are operating near their loading limits which may experience voltage collapse in a small disturbance. System stability and security can be improved when the closeness of the system to collapse is known. In this research, voltage stability of IEEE 30 bus test network is analyzed and assessed under continuously increasing load condition, utilizing the Critical Boundary Index (CBI); and improved with continuous integration of battery energy storage system (BESS). BESS is considered to be a hybrid combination of storage units and voltage source converter to have a controllable real and reactive power output. Security constraint optimal power flow is utilized for optimally sizing the installed BESS. It is evident from the outcome of the research that the voltage stability of the system is controlled to be above the acceptable range of 0.3 pu CBI in all lines and the system voltage is kept within the acceptable and constrained range of 0.9–1.1 pu.
随着可再生能源在电网中整合的增加和全球负荷需求的持续增长，现有输电线路在其负荷极限附近运行，可能会在一个小的干扰下发生电压崩溃。当知道系统崩溃的接近程度时，系统的稳定性和安全性可以得到改善。本文利用临界边界指数(Critical Boundary Index, CBI)分析和评估了IEEE 30总线测试网络在持续增加负荷条件下的电压稳定性;并随着电池储能系统(BESS)的不断集成而改进。BESS被认为是存储单元和电压源转换器的混合组合，具有可控的实功率和无功功率输出。利用安全约束优化潮流来优化安装的BESS的尺寸。从研究结果可以看出，系统的电压稳定性被控制在所有线路的可接受范围0.3 pu CBI以上，系统电压保持在0.9-1.1 pu的可接受和约束范围内。
{"title":"BESS based voltage stability improvement enhancing the optimal control of real and reactive power compensation","authors":"H. Fedayi, Mikaeel Ahmadi, Abdul Basir Faiq, N. Urasaki, T. Senjyu","doi":"10.3934/energy.2022027","DOIUrl":"https://doi.org/10.3934/energy.2022027","url":null,"abstract":"With the increase in the integration of renewable energy resources in the grid and ongoing growth in load demand worldwide, existing transmission lines are operating near their loading limits which may experience voltage collapse in a small disturbance. System stability and security can be improved when the closeness of the system to collapse is known. In this research, voltage stability of IEEE 30 bus test network is analyzed and assessed under continuously increasing load condition, utilizing the Critical Boundary Index (CBI); and improved with continuous integration of battery energy storage system (BESS). BESS is considered to be a hybrid combination of storage units and voltage source converter to have a controllable real and reactive power output. Security constraint optimal power flow is utilized for optimally sizing the installed BESS. It is evident from the outcome of the research that the voltage stability of the system is controlled to be above the acceptable range of 0.3 pu CBI in all lines and the system voltage is kept within the acceptable and constrained range of 0.9–1.1 pu.","PeriodicalId":45696,"journal":{"name":"AIMS Energy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70226235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Editorial to the 'Special Issue—Energy transition in a circular economy perspective' of AIMS Energy","authors":"P. Falcone","doi":"10.3934/energy.2022029","DOIUrl":"https://doi.org/10.3934/energy.2022029","url":null,"abstract":"<jats:p xml:lang=\"fr\" />","PeriodicalId":45696,"journal":{"name":"AIMS Energy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70226305","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}
Marmelia P. Dewi, Andri D. Setiawan, Y. Latief, W. Purwanto
Geothermal energy is one of the strategies employed by the Indonesian government to meet rising electricity demand. Developing geothermal energy is often characterized by uncertainties and requires sequential decision-making which is divided into four development phases: 1) identification, 2) exploration, 3) exploitation, and 4) engineering, procurement, construction, and commissioning (EPPC) before it can be commercialized. Traditional valuation techniques often produce a negative net present value (NPV), suggesting decision to reject the project's investment plan. This paper investigates the economic viability of a geothermal power generation project using both NPV and real options analysis (ROA). Costs and uncertainties associated with the various development phases as well as the investment structure of geothermal projects are studied. We develop a framework for assessing the impact of four uncertainties using a binomial lattice: capacity factor, electricity price, make-up well-drilling costs, and operation and maintenance (O&M) costs. Secondary data from an Indonesian context geothermal power plant was used. Positive option values were found for the lattice approach compared to negative values found for the common NPV calculation. The result of this study showed the successful outcome of the exploration stage is very critical to determining the continuation of the project. The framework supports decision-makers in evaluating the impact of geothermal power generation projects in the face of uncertainty by providing a rigorous analysis. The movement of the underlying asset's value in the whole project's lifetime will assist the management in deciding on whether to exit or continue.
{"title":"Investment decisions under uncertainties in geothermal power generation","authors":"Marmelia P. Dewi, Andri D. Setiawan, Y. Latief, W. Purwanto","doi":"10.3934/energy.2022038","DOIUrl":"https://doi.org/10.3934/energy.2022038","url":null,"abstract":"Geothermal energy is one of the strategies employed by the Indonesian government to meet rising electricity demand. Developing geothermal energy is often characterized by uncertainties and requires sequential decision-making which is divided into four development phases: 1) identification, 2) exploration, 3) exploitation, and 4) engineering, procurement, construction, and commissioning (EPPC) before it can be commercialized. Traditional valuation techniques often produce a negative net present value (NPV), suggesting decision to reject the project's investment plan. This paper investigates the economic viability of a geothermal power generation project using both NPV and real options analysis (ROA). Costs and uncertainties associated with the various development phases as well as the investment structure of geothermal projects are studied. We develop a framework for assessing the impact of four uncertainties using a binomial lattice: capacity factor, electricity price, make-up well-drilling costs, and operation and maintenance (O&M) costs. Secondary data from an Indonesian context geothermal power plant was used. Positive option values were found for the lattice approach compared to negative values found for the common NPV calculation. The result of this study showed the successful outcome of the exploration stage is very critical to determining the continuation of the project. The framework supports decision-makers in evaluating the impact of geothermal power generation projects in the face of uncertainty by providing a rigorous analysis. The movement of the underlying asset's value in the whole project's lifetime will assist the management in deciding on whether to exit or continue.","PeriodicalId":45696,"journal":{"name":"AIMS Energy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70226531","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}
Francis I. Johnson, Richard Laing, Bassam Bjeirmi, M. Leon
Multi Stakeholders collaboration becomes imperative when a single agency such as the NNPC or the Oil Companies alone cannot adequately address a recurring menace such as oil pipeline disasters. Thus, agencies such as National Emergency Management Agency (NEMA), NOSDRA, FMHDSD, Fire Service, Oil Companies, Health and Security agencies, the Media and Academia, as well the Community must seek to promote cooperation in order to achieve successful oil pipeline disaster policy implementation. To achieve this goal efficiently and effectively, a framework for stakeholders* collaboration in the management and mitigation of oil pipeline disasters in Nigeria was developed in this study, following a logical path and adopting the use of interviews conducted among the main stakeholders and with industry experts. In a bid to achieve an un-biased opinion, questionnaires and document analysis of data obtained from secondary sources was carried out. A framework for the mitigation of oil pipeline disasters before, during and after disaster occurrence was developed. The framework captures the relevant stakeholders as well as their roles in disaster mitigation.
{"title":"Developing a framework for stakeholders collaboration in the management and mitigation of oil pipeline disasters in Nigeria","authors":"Francis I. Johnson, Richard Laing, Bassam Bjeirmi, M. Leon","doi":"10.3934/energy.2022058","DOIUrl":"https://doi.org/10.3934/energy.2022058","url":null,"abstract":"Multi Stakeholders collaboration becomes imperative when a single agency such as the NNPC or the Oil Companies alone cannot adequately address a recurring menace such as oil pipeline disasters. Thus, agencies such as National Emergency Management Agency (NEMA), NOSDRA, FMHDSD, Fire Service, Oil Companies, Health and Security agencies, the Media and Academia, as well the Community must seek to promote cooperation in order to achieve successful oil pipeline disaster policy implementation. To achieve this goal efficiently and effectively, a framework for stakeholders* collaboration in the management and mitigation of oil pipeline disasters in Nigeria was developed in this study, following a logical path and adopting the use of interviews conducted among the main stakeholders and with industry experts. In a bid to achieve an un-biased opinion, questionnaires and document analysis of data obtained from secondary sources was carried out. A framework for the mitigation of oil pipeline disasters before, during and after disaster occurrence was developed. The framework captures the relevant stakeholders as well as their roles in disaster mitigation.","PeriodicalId":45696,"journal":{"name":"AIMS Energy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70229762","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}
The dependence of the Non-Interconnected Islands on diesel power stations increases the cost of producing electricity in comparison to the mainland. This study focuses on the green energy transition of Interconnected Islands, and Anafi was selected as a characteristic case. The average cost of electricity production from thermal units in Anafi was estimated to be 539 €/MWh with a peak load of 0.55 MW. Two different green energy transition scenarios are proposed for Anafi that include the addition of PV panels plus a wind turbine (scenario 1) or PV panels plus a battery (scenario 2) that would operate along the conventional diesel engines and utilized the software RETScreen program for the design and the analysis of these two proposed hybrid systems. In scenario 1, the renewable systems produced 2793 MWh, while in scenario 2 this value was simulated to be 995.51 MWh. In both proposed scenarios there is a significant penetration from Renewable Energy Sources from 68.2% (scenario 2) to 90.3% (scenario 1). In addition, in both cases there is a significant reduction in carbon dioxide emissions from 80%–95% in comparison to the baseline case which produces 2543 tons of CO2 annually. The cost of the proposed installations has been calculated to be 5.2 m € and 5.6 m € for scenarios 1 and 2, while the net present value (NPV) of the project becomes positive from the sixth year and the eleventh year respectively. The earnings of a green transition project of this nature can be allocated for the maintenance of the island's own project, as well as for the financing of new similar projects. on other islands. The expected result of this work is the proposal of a system that will largely cover the energy needs of the island, reduce the cost of production per kilowatt hour and will contribute to the green energy transition of the other Non-Interconnected Islands.
{"title":"Wind based hybrid systems for increased RES penetration in isolated grids: The case study of Anafi (Greece)","authors":"Athanasia Orfanou, S. Vakalis","doi":"10.3934/energy.2022048","DOIUrl":"https://doi.org/10.3934/energy.2022048","url":null,"abstract":"The dependence of the Non-Interconnected Islands on diesel power stations increases the cost of producing electricity in comparison to the mainland. This study focuses on the green energy transition of Interconnected Islands, and Anafi was selected as a characteristic case. The average cost of electricity production from thermal units in Anafi was estimated to be 539 €/MWh with a peak load of 0.55 MW. Two different green energy transition scenarios are proposed for Anafi that include the addition of PV panels plus a wind turbine (scenario 1) or PV panels plus a battery (scenario 2) that would operate along the conventional diesel engines and utilized the software RETScreen program for the design and the analysis of these two proposed hybrid systems. In scenario 1, the renewable systems produced 2793 MWh, while in scenario 2 this value was simulated to be 995.51 MWh. In both proposed scenarios there is a significant penetration from Renewable Energy Sources from 68.2% (scenario 2) to 90.3% (scenario 1). In addition, in both cases there is a significant reduction in carbon dioxide emissions from 80%–95% in comparison to the baseline case which produces 2543 tons of CO2 annually. The cost of the proposed installations has been calculated to be 5.2 m € and 5.6 m € for scenarios 1 and 2, while the net present value (NPV) of the project becomes positive from the sixth year and the eleventh year respectively. The earnings of a green transition project of this nature can be allocated for the maintenance of the island's own project, as well as for the financing of new similar projects. on other islands. The expected result of this work is the proposal of a system that will largely cover the energy needs of the island, reduce the cost of production per kilowatt hour and will contribute to the green energy transition of the other Non-Interconnected Islands.","PeriodicalId":45696,"journal":{"name":"AIMS Energy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70229916","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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