{"title":"Impact of Renewables Resources into the Italian Intraday Electricity Market","authors":"Andrea Alberizzi, Alessandro Zani, Paolo Di Barba","doi":"10.12720/sgce.12.4.81-90","DOIUrl":"https://doi.org/10.12720/sgce.12.4.81-90","url":null,"abstract":": Intermittent resources such as wind and solar are nowadays strongly approaching the energy markets. European authorities are responsible to find the optimal way to integrate them efficiently into the power system to follow the decarbonization process. Market rules penalize traders who close their position in the market without being able to respect it in real market operation. At this regard, the possibility of being able to exchange energy closer to the real time operation helps players to solve forecasts problems. To this aim, a new design of intraday market has been carried at European level focused on the possibility to trade energy continuously until one hour before the delivery. The Italian energy market, historically based on seven auctions, taking part to the Single Intra Day Coupling (SIDC) Market, implemented a hybrid system composed by three auctions and continuous trading. Consequently, the whole system had to face significant changes that impacts on volumes, prices of energy exchanged and agent’s behavior. This paper aims at investigating how the efficiency of the market changes in terms of liquidity and price volatility and the new strategies adopted by players throughout statistical analyses that compare the past structure of intraday Italian market and the current one.","PeriodicalId":495173,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207595","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":"Improved Multi-objective Lion Swarm Algorithm Based on Scheduling Model for Wind Power Systems","authors":"Qi Zhang","doi":"10.12720/sgce.12.4.118-123","DOIUrl":"https://doi.org/10.12720/sgce.12.4.118-123","url":null,"abstract":": The multi-objective model is established to minimize the cost of power generation and optimize the energy and environmental benefits, and the improved lion swarm optimization algorithm is adopted in the solution method, i.e. the idea and mechanism of coati optimization is introduced into the lion swarm algorithm. The method enhances the high-dimensional search capability of the population and verifies the effectiveness, scientificity, and advancement of the improved algorithm. Experimental analysis is carried out with the micro-wind power grid-connected generation example to verify that the proposed model considers the cost of micro-grid from various aspects and helps to improve the reliability of the system. The objective of optimizing the cost of wind and solar energy penalties is to achieve the full utilization of wind and solar energy, which helps to solve the problem of \"wind\" and \"solar\" abandonment.","PeriodicalId":495173,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136208204","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":"Analysis of Concrete Load in Very Long Column Formwork by Using Finite Element","authors":"Tawatchai Kraisee, Pilin Hankhuntod, Niwat Ketchat, Bundit Krittacom","doi":"10.12720/sgce.12.4.100-110","DOIUrl":"https://doi.org/10.12720/sgce.12.4.100-110","url":null,"abstract":": The purpose of this research is to analyze the pressure (P) or stress on concrete according to the AASHTO M85 railway platform construction standard. The railway platform formwork was made of SS400 steel. Four different thicknesses (t) of formwork were examined: 3 mm. 4 mm. 5 mm., and 6 mm, respectively. The vertical steel batten (pl) was kept at 20 cm, but there were four horizontal steel battens (ph), i.e., 10, 15, 20, and 30 cm. A finite element method (FEM) was used to solve the solution. The height of column formwork (h) was 900 cm. The initial pressure of liquid concrete (P) was done at the top of the long column (h = 900 cm). As the analysis, it was found that the maximum stress or P was increased as the thickness (t) reduced. Then, the maximum stress of t = 3 cm becomes 406, 440, 485, and 470 MPa for the horizontal steel battens (ph) of 10, 15, 20, and 30 cm, respectively. The formwork was not resistant to the deformation owing to the maximum strength of SS400 being 245 MPa leading to the analyzed result of the present study having higher than the strength of SS400.","PeriodicalId":495173,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207143","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}
Santiago Bernal-del Río, Riccardo Mereu, Juan Carlos Rivera, Gilberto Osorio-Gómez
{"title":"Optimization of Photovoltaic and Wind Energy Sources Sizing for Home Requirements in Non-interconnected Zones: A Colombian Case Study","authors":"Santiago Bernal-del Río, Riccardo Mereu, Juan Carlos Rivera, Gilberto Osorio-Gómez","doi":"10.12720/sgce.12.4.111-117","DOIUrl":"https://doi.org/10.12720/sgce.12.4.111-117","url":null,"abstract":": This document proposes a sustainable strategy for implementing different Non-Conventional Renewable Energy (NCRE) Sources in Non-Interconnected Zones to satisfy the most significant energy demand in these areas. The proposed approach establishes an optimization model to minimize the Loss Probability of Power Supply (LPSP) and improve the cost-benefit ratio of electricity generation with NCRE, considering different constraints, such as demand, technology costs, available environmental resources, energy storage, and technical limitations. A genetic algorithm that minimizes an objective function dependent on the LPSP and the Levelized Cost of Energy (LCOE) is developed, considering the energy models of a hybrid system composed of solar panels, horizontal axis wind turbines, and an energy storage system. The meteorological conditions for the study area, such as radiation, wind speed, and temperature, are considered, as well as the technical specifications of different models of the systems, to arrive at a solution that allows selecting the best alternatives for a user who wants to implement renewable energy in his household.","PeriodicalId":495173,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207991","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}
Ilaria Sorrenti, Theis Bo Harild Rasmussen, Qiuwei Wu, Shi You
{"title":"Carbon-emission Reduction of Hybrid Renewable Energy System Stochastic Day-Ahead Scheduling","authors":"Ilaria Sorrenti, Theis Bo Harild Rasmussen, Qiuwei Wu, Shi You","doi":"10.12720/sgce.12.4.91-99","DOIUrl":"https://doi.org/10.12720/sgce.12.4.91-99","url":null,"abstract":": In light of new energy policies, energy systems should face the challenge of mitigating CO 2 . Although environmental sustainability is a hot topic, Day-ahead (DA) scheduling is approached by prioritising the economic perspective, risking sub-optimal CO 2 emission. To highlight the current model limitation, this paper proposes an approach for minimising CO 2 during operation inspired by the Carbon Emission Flow (CEF) method, not revealed by cost optimisation. Although this approach assumes complete energy system control and is less likely to be used for real-world energy dispatching, such a tool creates awareness among stakeholders about the minimum CO 2 limit and the consequences of using specific components or external sources. For this purpose, CEF cost and emission results are compared with cost minimisation with/without CO 2 taxation, confirming that current optimisations objectives cannot achieve the lowest CO 2 emission level. The performances are compared with indices assessing sustainability with insights on dispatching strategies and system components that affect emissions and costs. Finally, to detect if the taxation strategy is suitable for reaching the lowest CO 2 in DA scheduling, a sensitivity analysis was carried out by increasing taxation prices up to 5-times, concluding it would increase costs without reaching the minimum set by the proposed approach.","PeriodicalId":495173,"journal":{"name":"International Journal of Smart Grid and Clean Energy","volume":"87 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136207153","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}