Nicolas A. Campbell, Miguel A. Peinado-Guerrero, P. Phelan, J. Villalobos
{"title":"A Comprehensive Framework for Distributed Energy Resource Aggregators","authors":"Nicolas A. Campbell, Miguel A. Peinado-Guerrero, P. Phelan, J. Villalobos","doi":"10.1115/power2020-16637","DOIUrl":"https://doi.org/10.1115/power2020-16637","url":null,"abstract":"\u0000 An operational framework is proposed for managing aggregated distributed energy resources (DERs). Currently, aggregators partake in the energy market with minimal coordination or exchange of information with the concerned parties. In particular, demand response (DR) has yet to offer its potential value to the grid. It continues to be utilized as a bulk service for peak-shaving, served with little regard or accountability of the additional effects it brings. This has led to numerous issues surrounding DR events, mainly concerning the distribution system. In both practice and literature, there lacks a structured method for aggregators to operate optimally while addressing the issues observed. Most of the research found in literature pertains to a singular problem, for example, aggregating electric vehicles (EV), optimal bidding strategies, optimal scheduling, and congestion management using DR. The integration of these large concepts is not found in literature but is important in understanding the practical effects additional technical and financial constraints have on finding a practical, close-to-optimal solution. The framework proposed is comprehensive, containing all the components believed to be necessary for an aggregator to operate with respect to the distribution constraints. It is also conceptual and meant to emphasize the benefits the individual components and the complete framework offer.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132640526","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":"Modeling of Micro-Tubular Flame-Assisted Fuel Cells","authors":"R. Ghotkar, R. Milcarek","doi":"10.1115/power2020-16595","DOIUrl":"https://doi.org/10.1115/power2020-16595","url":null,"abstract":"\u0000 Direct flame fuel cells were developed in 2004 and there have been many iterations of them ever since. One of the latest iterations are the micro-tubular flame-assisted fuel cells. Even though there has been significant experimental research characterizing the performance and polarization losses of flame-assisted fuel cells, there is no model that describes their polarization losses. A model is thus developed and presented in this paper to assess the polarization losses and performance of flame-assisted fuel cells. Voltage and power density variation with current density are the main parameters that are analyzed in this paper. A model for calculating activation, ohmic and polarization losses is developed. Experimental parameters from previously published work like dimensions of the fuel cell layers, the fuel and oxidizer flow rates, the charge transfer coefficient and the exchange current density are used to optimize the model. The FFC is assumed to be a lumped system and a zero dimensional model is thus developed. The model was able to achieve an accuracy up to 95%, which adds to its credibility. The fuel-rich combustion exhaust composition is predicted using chemical equilibrium analysis for the equivalence ratios of 1.25 to 1.4 with intervals of 0.5 at 800°C. The model predicts that the open circuit voltage decreases from 0.94 to 0.89 for the equivalence ratios of 1.4 to 1.25, respectively, which matches experimental results. The model also predicts that the maximum power density decreases with decrease in equivalence ratio. Negligible activation loss was observed in the results while the ohmic loss didn‘t vary significantly with equivalence ratio. The concentration loss increased with decrease in equivalence ratio, which also matches with experimental results.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"266 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132780697","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":"Dynamic Simulation of Coal-Fired Power Plant Integrated With Trough Solar Collector Operating in Parallel With High Pressure Heaters","authors":"Yan Hui, Xin Li, Ming Liu, D. Chong, Junjie Yan","doi":"10.1115/power2020-16163","DOIUrl":"https://doi.org/10.1115/power2020-16163","url":null,"abstract":"\u0000 Solar-aided coal-fired power plant (SACFPP) is a cost-effective approach to overcome solar energy intermittency. SACFPPs frequently operate in dynamic processes due to power load and solar energy fluctuations. This study investigated the dynamic characteristics of SACFPPs; such characteristics are important for flexibility evaluation and control system design. The SACFPP used in this study was based on a 660 MW coal-fired power plant, and a trough collector system (TCS) operates in parallel with high pressure (HP) heaters. After model development and validation, the dynamic performance of the SACFPP was analyzed under four load ratios of power plant, with disturbances of two parameters: direct normal irradiance (DNI) and mass flowrate ratio to TCS. The performance was also compared with three parallel TCS connection modes. Results showed that the magnitude and response time for power variation under DNI disturbance increased with load ratio. With 500 W/m2 DNI step increments, power increased by approximately 18.4, 21.2, 24.7, and 29.8 MW in 2200, 2330, 2550 and 2620 s at 70%, 80%, 90%, and 100% load ratios, respectively, when all the HP heaters were replaced. The serial number and the number of HP heaters replaced also increased the power variation and response time. Under mass flowrate ratio to TCS increase disturbance, the power rapidly changed to its maximum and then slowly decreased, but the variation value depended on the load ratio.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126133213","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":"Optimization and System Identification of a Variable Pico-Scale Hydro Turbine for Pressure Regulation","authors":"Shi M. Yu, Y. Ko, Han Hu, Jun Seo, A. Bilton","doi":"10.1115/power2020-16902","DOIUrl":"https://doi.org/10.1115/power2020-16902","url":null,"abstract":"\u0000 Recent studies from the European Commission estimate that more than 20% of global energy is consumed by pumping systems. Significant research has focused on increasing pump efficiency to lower energy consumption; however, few have looked at the energy lost in use of pressure regulating devices (PRDs). This paper proposes a novel pico-scale hydro turbine that could effectively replace PRDs and generate power while regulating pressure. The proposed hydro turbine has an outer diameter of 4″ and a total length of 5.4″. The turbine uses 14 rotating guide vanes and is attached to a generator with a variable load. To maximize power recovery and pressure control range of the turbine, a non-dominated sorting genetic algorithm was used for multi-objective geometry optimization. Then, to build a dynamic model for control system design, parameter identification was conducted using a Gaussian process surrogate model and stochastic search algorithms: particle swarm optimization and genetic algorithm. The optimized turbine showed good agreement between simulated and experimental results and achieved a power output of 120 W, pressure drop range of 6 to 27 psi, and maximum hydraulic efficiency of 75% at the rated flow rate of 27 GPM. The optimized turbine shows the potential of pico-turbines for pressure regulation.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"1108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120876679","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":"Adjusting the Levelized Cost of Energy for Different Rates of Compensation for Solar Generation: A Case Study","authors":"P. Schwarz, N. Goudarzi, E. Camadan","doi":"10.1115/power2020-16938","DOIUrl":"https://doi.org/10.1115/power2020-16938","url":null,"abstract":"\u0000 The levelized cost of energy (LCOE) was developed for conventional, non-renewable energy sources, and can be misleading for renewable sources. The intermittent nature of renewable energy resources requires further refining the LCOE definition to prevent overvaluing renewables. Utilities must consider revenues as well as costs in comparing renewables to each other, as well as to conventional, non-renewable fuels. This paper explores the utility net revenues from solar energy — revenues from customer grid purchases net of payments made for solar generation by the customer exported to the utility — under three rate alternatives: Net Metering, Net Purchasing, and Gross Metering. Using individual customer data from Austin Energy for solar customers for the year of 2018, the net revenues to the utility under these three mechanisms were studied for two cases: increasing block rates and flat rates. The results demonstrate that even though the levelized cost of solar adoption is unaffected by the choice of rate, solar adoption by the utility is generally most favorable under gross metering, and least favorable under net metering. Moreover, the outcome can differ on whether the utility uses flat rates or increasing block rates, and on the customer’s level of consumption. This work provides a broader system-level understanding of renewable energy technologies that can be used by engineers, researchers, and government agencies when studying the life-cycle cost of power-generating systems.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127884784","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":"Characterizing Premixed Syngas Combustion and Flame Dynamics in Micro Scales","authors":"Sunita Pokharel, Mohsen Ayoobi, V. Akkerman","doi":"10.1115/power2020-16713","DOIUrl":"https://doi.org/10.1115/power2020-16713","url":null,"abstract":"\u0000 Syngas can potentially replace most of conventional fuels, due to its lower emission rates in the case of lean combustion with acceptable energy densities, and can be used in small-scale combustion-related devices. However, with various constituents having various burning characteristics, syngas combustion at micro scales can be more complicated than that of conventional gaseous fuels. It is therefore highly important to understand syngas combustion characteristics. In this work, premixed syngas combustion in a horizontal, two-dimensional microchannel of length 20 mm and width 2 mm is simulated with detailed chemistry, with axisymmetric boundary condition on the lower wall of the computational domain and a fixed temperature gradient on the upper wall to account for the conjugate heat transfer. The simulations are run with varying inlet velocities ranging from 0.1 m/s to 3.0 m/s. The flame shape and dynamics were similar for all the cases, however, not all cases resulted in a stable flame. Two different types of results, i.e., (i) stable flame and (ii) flames with repetitive ignition and extinction (FRIE) are observed. The ignition, extinction, and FRIE events have been characterized in various cases. In addition, the FRIE phenomenon is analyzed by investigating the FRIE periods (the time intervals between the two consecutive ignitions). Similar to the ignition delays, the FRIE periods are found to be dependent on the inlet velocity. The loci of ignition and of a stabilized flame (in stable cases) are found to be further away from the inlet as the inlet velocity increases.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"82 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133558430","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. Khalid, Jiashen Tian, B. B. Skabelund, R. Milcarek
{"title":"Investigation of Soot Formation in Fuel-Rich Premixed Propane/Air Microcombustion at Low Temperatures","authors":"A. Khalid, Jiashen Tian, B. B. Skabelund, R. Milcarek","doi":"10.1115/power2020-16608","DOIUrl":"https://doi.org/10.1115/power2020-16608","url":null,"abstract":"\u0000 The advantage of micro/meso combustion includes higher efficiency, improved heat and mass transfer, swift startup and shutdown when compared with regular combustion. This study aims to investigate the critical sooting equivalence ratio and soot precursor formation in a micro-flow reactor with a controlled temperature profile of diameter 2.3mm and their dependence on the temperature ranging from 800–1250 °C. The equivalence ratio is varied from 1–13 and flow rates of 10 and 100sccm were investigated. Also, nitrogen is used to study the effect of inert gas dilution. A gas chromatograph is used to study the exhaust gas composition. The reactor is analyzed visually for the traces of soot particles before and after combustion, each time the temperature and/or equivalence ratio is varied. From 750–950°C, no soot is indicted at all equivalence ratios even up to 100. The inert gas dilution helped in raising the critical sooting equivalence ratio as expected because of the lower temperature. The results indicated an opposite trend to what has been well understood for the pre-mixed sooting flames, i.e., decreasing temperature decreases soot formation. The capability of the reactor to examine the effects of temperature on the critical sooting equivalence ratio at different flow rates has been successfully demonstrated.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127002796","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}
Miguel A. Peinado-Guerrero, Nicolas A. Campbell, J. Villalobos, P. Phelan
{"title":"A Framework for Demand-Side Management With Demand Response Input","authors":"Miguel A. Peinado-Guerrero, Nicolas A. Campbell, J. Villalobos, P. Phelan","doi":"10.1115/power2020-16635","DOIUrl":"https://doi.org/10.1115/power2020-16635","url":null,"abstract":"\u0000 A framework is proposed for demand-side load management (DSLM) of manufacturers participating in demand response (DR) programs. Utilities are increasingly focused on enticing their portfolios of energy end-users to adjust their energy use patterns in a mutually beneficial manner such as with DR programs. DR programs allow the utility to receive bulk peak load reduction and the participating end-user to receive credit towards their electricity bills. Once an end-user is enrolled in a DR program, they receive periodic requests for some amount of load reduction, typically the day before. Failing to respond to a DR signal will usually cost the end-user handsomely. The end-user is often left to their own discretion on how to attain the level of load reduction requested by the utility. For a manufacturer, this means if the request in load reduction is high enough, they will need to figure out how to curtail production. On the other hand, if the load reduction requested is small enough to need no disruption to production, the utility may be missing out on untapped DR capabilities that could be offered from the ability of the manufacturer to reschedule their production. In either case, the availability of an optimal plan for the manufacturer to best schedule its production in response to a DR event can maximize the benefits for both parties. Most of the research found in literature addresses production scheduling with minimal energy use or cost with respect to a time-of-use price tariff. A system that communicates the desires of the utility to the end-user for a DR event and provides the end-user with support in the decision-making process remains to be developed. The framework proposed addresses these shortcomings, considering the introduction of IoT capabilities and the physical constraints of the manufacturer.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130525874","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}
Aliza M. Willsey, Alex Hartwell, T. Welles, Daekwon Park, P. Ronney, J. Ahn
{"title":"Investigation of Mycelium Growth Network As a Thermal Transpiration Membrane for Thermal Transpiration Based Pumping and Power Generation","authors":"Aliza M. Willsey, Alex Hartwell, T. Welles, Daekwon Park, P. Ronney, J. Ahn","doi":"10.1115/power2020-16619","DOIUrl":"https://doi.org/10.1115/power2020-16619","url":null,"abstract":"\u0000 Micro combustion and power generation systems have increasingly been investigated as potential alternatives to electrochemical energy storage thanks to hydrocarbon fuel’s high energy density, but electrical componentry for pumping significantly limits the overall system efficiency. These components must be eliminated to allow for widespread adoption of micro combustion and power generation systems, and so the development of an alternative pumping technique is required.\u0000 By taking advantage of the thermal transpiration phenomenon, small-scale pumping can be obtained in the presence of a temperature gradient. Initial work has been done to investigate the efficacy of this system, but a major issue has arisen due to the lack of low-cost thermal transpiration membranes with desirable pore characteristics. Research has revealed that vessel hyphae present in the roots of mushrooms (mycelium) form a network which could meet the requirements of an effective thermal transpiration membrane. Proper growing conditions could also allow for an application specific mycelium structure providing a highly effective and low-cost thermal transpiration membrane for micro combustion systems.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115579049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Take on Wake Modeling of Turbines Based on Deep Learning","authors":"Dorsa Ziaei, N. Goudarzi","doi":"10.1115/power2020-16950","DOIUrl":"https://doi.org/10.1115/power2020-16950","url":null,"abstract":"\u0000 Analyzing real-world engineering problems such as wake modeling of wind/ocean current turbines are known to be complex and challenging. The multivariable nature of these problems requires either the implementation of computational analyses under certain simplifying assumptions or conducting experiments for a limited number of scenarios. Hence, there is always several fundamental features missed in understanding the key players in determining the complex turbulent velocity fields within the wake of turbines. It becomes more critical when studying the optimization of wind/ocean renewable farms with more than one turbine to determine the true power density or cost of energy.\u0000 Machine learning (ML) algorithms suggest promising complementary solutions to the existing physics-based (e.g. wind farm wake modeling) techniques. Implementation of conventional ML algorithms that require long-term historical data is either not feasible in many real-case applications or very expensive and time-consuming. Moreover, there are often infinite features in dataset with complex relation between them. It makes the tasks of feature selection and model tuning more challenging. In this work, a cross-domain study of physics and ML models is performed to show the need of integration of these domains. The key achievement of this work is two-fold: first, suggesting a group of emerging generative models (e.g. Generative Adversarial Networks) in the wake modeling domain; second, reducing the computational cost by demanding either smaller or no simulation dataset.","PeriodicalId":282703,"journal":{"name":"ASME 2020 Power Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121805005","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}