M. Montalà, K. Ganesan, O. Casal, J. Cortina, M. Santarelli, C. Valderrama
{"title":"Energy, Exergy and Themoeconomic Analysis of an Industrial Solar Pond","authors":"M. Montalà, K. Ganesan, O. Casal, J. Cortina, M. Santarelli, C. Valderrama","doi":"10.2139/ssrn.3888186","DOIUrl":"https://doi.org/10.2139/ssrn.3888186","url":null,"abstract":"This study evaluates the viability of an industrial salinity gradient solar pond during two operating seasons (2014 and 2015). Energy analysis indicate that the NCZ and the UCZ have low efficiencies because these zones have a low capacity to store heat and no heat extractions are carried out from these zones. In contrast, heat extraction in LCZ has a positive impact on the system because it increases the capacity of the solar pond to store energy. Thus, higher efficiencies were achieved in the second operation period in LCZ. The overall exergy efficiency of the LCZ after the first and second operation periods were 1.6% and 2.3%, respectively. The solar pond works at temperatures close to room temperature and thus the exergetic efficiency decreases significantly. Regarding the thermoeconomic analysis, the cost of exergy stored, is studied in this work, using two different approaches. The exergy-stored price tends to the decrease inversely to the fuel oil price. The cost of the exergy stored needs to be between four to five times higher than the fuel oil price for the solar pond system to be feasible., Thus, it can be concluded that current facility cannot be considered feasible from thermoeconomic point of view.","PeriodicalId":319585,"journal":{"name":"Industrial & Manufacturing Engineering eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131252136","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":"The Impact of Heterogeneity in Consumer Characteristics on the Design of Optimal Time-of-Use Tariffs","authors":"D. Choi, Karthik Murali","doi":"10.2139/ssrn.3926135","DOIUrl":"https://doi.org/10.2139/ssrn.3926135","url":null,"abstract":"Unlike the commercial and industrial sectors where they have been successfully deployed, the rollout of voluntary Time-of-Use (TOU) tariffs in the residential sector has been tepid. One cause for this limited penetration of TOU tariffs in the residential sector is the difficulty in offering appropriate price incentives to a consumer class that is heterogeneous in its demographics and preferences. In this paper, we develop a parsimonious game-theoretic model to shed light on the optimal pricing problem from the utility's perspective when its consumers vary in their electricity consumption scheduling preferences as well as their willingness or flexibility to shift consumption in response to price incentives offered by the utility. Using this model, we generate structural insights into the role of the two types of consumer heterogeneity on the design and potential of voluntary TOU tariffs. Based on these insights, we propose a solution algorithm to efficiently identify the optimal TOU tariff for a residential market. We use data from the U.S. residential market to illustrate the applicability of our model.","PeriodicalId":319585,"journal":{"name":"Industrial & Manufacturing Engineering eJournal","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122294728","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":"Regional Wind Power Probabilistic Forecasting Based on an Improved Kernel Density Estimation, Regular Vine Copulas, and Ensemble Learning","authors":"Weichao Dong, Hexu Sun, Jianxin Tan, Zheng Li, Jingxuan Zhang, Huifang Yang","doi":"10.2139/ssrn.3873708","DOIUrl":"https://doi.org/10.2139/ssrn.3873708","url":null,"abstract":"Reliable wind energy forecasting is crucial for the stable operation of power grids. This paper proposes a regional wind power probabilistic forecasting model comprising an improved kernel density estimation (IKDE), regular vine copulas, and ensemble learning. The IKDE is firstly used to generate the margin probability density function (PDF) of each wind farm and the KDE bandwidth is optimized via the golden-section search algorithm to obtain the best possible prediction. Then, several dependence structures are formulated by building different regular vine copulas based on multiple criteria, and all the dependence structures work together with marginal PDF to generate respective joint distribution functions. Finally, ensemble learning is applied to combine all the joint distribution functions and establish an ultimate distribution function. Furthermore, a novel multi-distribution mega-trend-diffusion (MD-MTD) with parametric optimization is proposed to improve the prediction when the data are insufficient. The results of comparative evaluations conducted on datasets from eight wind farms indicate that the proposed model outperforms existing models in wind power generation prediction. Specifically, the proposed model can reliably forecast power generation for an entire region for the next 24 h with only three months of historical data. In contrast, most benchmark models require a year of data.","PeriodicalId":319585,"journal":{"name":"Industrial & Manufacturing Engineering eJournal","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115797624","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":"Contradictory Deviations from Maximization: Environment-Specific Biases, or Reflections of Basic Properties of Human Learning?","authors":"Ido Erev, E. Ert, Ori Plonsky, Yefim Roth","doi":"10.2139/ssrn.3741831","DOIUrl":"https://doi.org/10.2139/ssrn.3741831","url":null,"abstract":"Analyses of human reaction to economic incentives reveal contradictory deviations from maximization. For example, underinvestment in the stock market suggests risk aversion, but insufficient diversification of financial assets suggests risk-seeking. Leading explanations for these contradictions assume that different choice environments (e.g., different framings) trigger different biases. Our analysis shows that variation in the choice environment is not a necessary condition. It demonstrates how certain changes in the incentive structure are sufficient to trigger six pairs of contradictory deviations from maximization even when the choice environment is fixed. Moreover, our analysis shows that the direction of these deviations can be captured by assuming that choice propensities reflect reliance on small samples of past experiences. In order to clarify the underlying processes, we considered distinct models of the reliance on small samples assumption, and compared them to classical models of choice (including prospect theory). The comparison focused on both within-individual, and between-group predictions (based on a preregistered study with 120 new tasks). The results reveal large advantage of \"wide sampling\" models that (in the static settings we examine) approximate an effort to rely on the most similar past experiences. Surprisingly, we also found that assuming that the parameters reflect stable individual traits impairs predictions; it seems that the number of \"most similar past experiences\" for each individual varies from task to task. These results suggest that ignoring the predictable impact of the incentive structure can lead to exaggeration of the importance of environment- and individual-specific decision biases. (PsycInfo Database Record (c) 2023 APA, all rights reserved).","PeriodicalId":319585,"journal":{"name":"Industrial & Manufacturing Engineering eJournal","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130116479","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":"Pig Iron Production (Post Blast Furnace Era)","authors":"Gawie Lötter, A. van Niekerk, G. Farmer","doi":"10.2139/ssrn.3926709","DOIUrl":"https://doi.org/10.2139/ssrn.3926709","url":null,"abstract":"It has become an environmental drive world-wide to reduce the production of Carbon Dioxide (CO2) in the steelmaking process. Alternative reductants other than coal-based materials has been found to be a true replacement with resultant major reduction in CO2, by using “cleaner” reductants like natural gas. Coke consumption in the Blast Furnace requires coke to produce pig iron for which alternative reductant routes are now sought. It has been proven that natural gas is a suitable reductant in the production of Direct Reduced Iron (DRI) in a shaft furnace or a Rotary Hearth Furnace (RHF) process. This DRI can then be used as raw material for pig-iron production in a closed Submerged-Arc Furnace (SAF), (being a circular AC Furnace, DC Furnace, or a large 6-in-line Rectangular Furnace), where a reduced amount of reductant is required for final reduction and introducing additional carbon required for the subsequent steelmaking processes. The SAF also acts as a slag modifier which adds value to this traditional waste product. Instead of producing aggregate, high quality granulated slag is produced which can be used as a clinker replacement material in the classical cement production. This contributes to the reduction of CO2 gasses by reducing traditional cement fabrication. Fossil-based reductant are still required through this process route, but the sum equates to a reduction of fossil-based reductants. The use of renewable energy as a source of electricity further adds to the reduction of emissions adding even more value to the whole production chain. A natural progression from this process step would be the introduction of environmentally friendly Hydrogen (H2) in the future.","PeriodicalId":319585,"journal":{"name":"Industrial & Manufacturing Engineering eJournal","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121665880","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":"Greenhouse Gas Emissions from Silicon Production -Development of Carbon Footprint with Changing Energy Systems","authors":"G. Sævarsdóttir, H. Kvande, T. Magnusson","doi":"10.2139/ssrn.3926088","DOIUrl":"https://doi.org/10.2139/ssrn.3926088","url":null,"abstract":"As the world pushes for a low-carbon future, populous regions of the world develop rapidly, increasing the global demand for materials. Emissions from the primary production of metals can be split into three parts; a) direct process related emissions, b) emissions due to auxiliary processes and c) indirect emissions due the production of the electrical energy used in the production process. As production of metallurgical grade (MG) silicon is energy intensive, the indirect emissions from the electrical energy production contribute a significant part of the overall specific carbon footprint per kg of silicon produced. In this paper, the trend in the energy use for MG silicon production on a global basis from 1995 is tracked, and the development of the carbon footprint from the energy mix is estimated. Silicon production increased by 240% from 2000 to 2019, and by 456% from 1995. As most of this increase in production has occurred in Asia, and more specifically China, the energy mix for the production site determines the indirect carbon dioxide emissions. The ratio of low carbon electric power sources such as hydro power or nuclear energy is still significant in the energy mix for silicon production. It was around 57% in 2019 as compared to 67% in 2000 and 71% in 1995, while the share of coal thermal power has increased from 20% in 1995 to 40% in 2019. This increased share of coal-based power has led to an increase in the indirect energy related carbon emissions to 6.3 kg CO2e/kg Si in 2019, up from 3.3 in 1995, and is now similar to the direct process emissions that are around 4 kg CO2e/kg Si. That is indeed a development in the wrong direction for the silicon industry, facing increasing climate related pressures.","PeriodicalId":319585,"journal":{"name":"Industrial & Manufacturing Engineering eJournal","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123048213","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}
Timur Kazdal, R. Haas-Wittmuess, S. Richter, S. Lang, C. Binder, M. Reuter
{"title":"Process Design for the Pre-Treatment of Manganese Ores","authors":"Timur Kazdal, R. Haas-Wittmuess, S. Richter, S. Lang, C. Binder, M. Reuter","doi":"10.2139/ssrn.3926619","DOIUrl":"https://doi.org/10.2139/ssrn.3926619","url":null,"abstract":"Technical impediments and costs can turn down the feasibility of a process concept fast. Experimental validation in the early stages of process design improves quality and allows cost estimation for plant scale-up. For the investigation of the pre-treatment of manganese ores, an iterative procedure of experiments and process simulations has been applied. The experiments have been conducted to extract necessary data for a more detailed simulation. Static process simulations have been run using Metso Outotec’s HSC SIM tool. They are refined continuously with new experimental data. This allows for an early integration of energy efficiency and life cycle analysis, defining the best process design in a broad field of performance indicators. This paper explains individual steps in the process scale-up towards an industrial scale plant for pre-treatment of manganese ores.","PeriodicalId":319585,"journal":{"name":"Industrial & Manufacturing Engineering eJournal","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120964919","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}
S. A. Halvorsen, M. Sparta, V. Risinggård, M. Fromreide
{"title":"Electrical Conditions in 3-phase Submerged Arc Furnaces: Learning from the ElMet Project","authors":"S. A. Halvorsen, M. Sparta, V. Risinggård, M. Fromreide","doi":"10.2139/ssrn.3926712","DOIUrl":"https://doi.org/10.2139/ssrn.3926712","url":null,"abstract":"ElMet is the short name for a competence project (2015-2020) on electrical conditions in 3-phase submerged arc furnaces (SAFs). In the project, NORCE has cooperated closely with The Norwegian University of Science and Technology (NTNU), University of Oxford, University of Santiago de Compostela, and the industrial partners, Elkem and Eramet Norway. ElMet has focused on mathematical modelling, and a set of tools have been utilized: • Basic equation analysis, together with very simplified models, have clarified fundamental aspects. • 2D and 3D models have then supplied important overall insight. • Finally, metamodels have enabled a link between physics- and data-based modelling. The ElMet project has established a sound basis for understanding electrical conditions in SAFs, and proper tools have been developed and tested for future use: • Flexible 3D simulations models to be applied for various case studies. • A strong electromagnetic proximity effect for (almost) parallel currents has been discovered. • Induced currents in the furnace steel shell carry information that might be utilized for identification of inner conditions. • Metamodels, together with additional measurements, seem suitable for on-line use and to identify inner furnace conditions.","PeriodicalId":319585,"journal":{"name":"Industrial & Manufacturing Engineering eJournal","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132519702","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":"The Importance of Controlling the Chemistry of Pre-Oxidized Chromite Pellets for Submerged Arc Furnace FeCr Smelting: a Study on Furnace Si Control","authors":"M. Erwee, S. Swanepoel, Q. Reynolds","doi":"10.2139/ssrn.3926683","DOIUrl":"https://doi.org/10.2139/ssrn.3926683","url":null,"abstract":"South African FeCr operations have over time moved to running furnaces on predominantly pelletized concentrate feeds. This has brought about several changes in how submerged arc FeCr furnaces are operated. In particular, raw material management has become a critical factor to ensure that maximum value is derived from the material, and to minimize the impact of process upsets when they occur. When pre-oxidized pellets are produced, variations in the SiO2 fraction of the pellets will influence the liquidus temperature of the pellet material. Lower liquidus temperatures are undesirable when smelting pellets, since this can lead to impaired pre-reduction of iron oxides in the upper parts of the furnace. Further to this, if for example the furnace electrodes are positioned incorrectly, an excess amount of heat may be generated in the upper parts of the furnace – this can lead to excessive reduction of SiO2 to Si, which in turn reports to the FeCr product as a contaminant. In this paper, the effect of the chemistry of the pellet, electrode control and slag chemistry is studied. It was found that no one factor can fully explain the Si content of the alloy, however, with more modern tools, the industry is one step closer to fully predictive control. Some practical aspects of ensuring that the alloy Si specification is met.","PeriodicalId":319585,"journal":{"name":"Industrial & Manufacturing Engineering eJournal","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115157954","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}
Ozan Uylas, Y. Kaya, S. Savelev, G. Romanenko, A. Bykov
{"title":"A Study on Decreasing Heat and Metal Loss In Ladle In HC-FeCr Production","authors":"Ozan Uylas, Y. Kaya, S. Savelev, G. Romanenko, A. Bykov","doi":"10.2139/ssrn.3927165","DOIUrl":"https://doi.org/10.2139/ssrn.3927165","url":null,"abstract":"Yılmaden Holding is one of the important players in the chromium industry, company consists of 10 companies and operating in 7 different countries. High-quality high carbon ferrochromium (HQ HC FeCr) is produced in 3 different plants with 12 furnaces. These plants are Eti Krom Inc in Turkey, Vargon Alloys AB in Sweden, and Tikhvin Ferro Alloy in Russia. Tikhvin Ferro Alloy (TFZ) casting operations take place through refractory-lined ladles for a long time and also climate conditions are tough. Under these working conditions, some of the liquid metal solidifies in the ladle and a secondary process is needed. The secondary metal recovery process increases the production cost, that’s why ladle refractory design has critical importance to decrease solidified metal amount during casting. In this study, to decrease heat loss and reprocessed metal volume, a new refractory lining design to increase insulation capability of transfer ladle is studied. Theoretical heat loss calculation of existing design and new design are compared.","PeriodicalId":319585,"journal":{"name":"Industrial & Manufacturing Engineering eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131149483","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}