Maximizing Energy Harvesting of Photovoltaic Panel Full Tracking Optimization

2019 ◽  
Author(s):  
Ahmed Y. Abdelmaksoud ◽  
Hesham A. Hegazi ◽  
Mohamed S. El Morsi ◽  
Sayed M. Metwalli

Abstract The wide spread use of solar energy and photovoltaic solar cells attracts researchers to work hard for the objective of improving their performance to be a viable attractive alternative to fossil fuels. This work presents the optimization of the output power of a photovoltaic solar cell to harvest maximum power. The power is optimized based on PVP full tracking of the sun and the effect of the tilt, the azimuth, and the incidence angles on its performance. A meta-model is utilized as a tool in the optimization technique. A case study which develops 2nd, 3rd, and 4th order hyper-surface equations that depend on day and hour to get the optimum tilt angle and optimum azimuth angle for the city of Hurghada in Egypt. The power produced from the polynomial meta-model algorithm is higher by 25.5% over the fixed tilt and azimuth angles. The developed equations from the meta-model optimization technique can be used in tracking control systems to get optimum tilt and optimum azimuth angles at any hour and at any day. By comparing the metamodel and the lengthy performance optimization technique, the error is around 1.1%. Comparison has also been made between the cost of the fixed and full tracking photovoltaic systems.

2018 ◽  
Vol 7 (3) ◽  
pp. 316-346 ◽  
Author(s):  
Tiara R. Na’puti ◽  
Phaedra C. Pezzullo ◽  
Leah Sprain ◽  
Lydia Reinig

Abstract Energy democracy hopes to foster community engagement and participation in shaping our transition from fossil fuels to a renewable energy-based economy. These considerations result from critiques by environmental justice, climate justice, and just transition advocates. Although many are sympathetic to energy democracy ideals, climate goals often are articulated in math terms. This essay defines the aforementioned key terms and asks: what are the limitations and possibilities of engaging publics when climate action solely is articulated in numbers? A compelling case study is the City of Boulder – recognized as a global leader in climate science and a national leader in innovative environmental planning. This essay shares work from 2016, when the City shared a climate action plan for public feedback, supported several public participation events, and passed climate action legislation goals. We argue a just transition and energy democracy ideals are hindered if we reduce climate goals to math.


2020 ◽  
Author(s):  
Benjamin Oebel ◽  
Dr. Tobias Gaugler

<p><strong>Keywords:</strong> External costs, mobility, environmental costs, social costs, monetarization</p> <p> </p> <p><strong>Purpose: </strong>This study provides a methodology to evaluate the environmental and social costs, which arise from traffic in the German city of Augsburg. Social costs are driven by air pollutants such as nitric oxides or particulate matter, causing health damages. Environmental follow-up costs are driven by the emission of greenhouse gases. Furthermore, approaches for a successful transformation towards a car-free city are shown.</p> <p><strong>Method: </strong>Based on traffic data from the Augsburg Civil Engineering Office, as well as traffic shares from the German Federal Motor Transport Authority, the average emission factors of vehicles on Augsburg´s streets and, subsequently, the total traffic emissions on municipal roads in the city are quantified. The environmental as well as the social consequences are monetarized using the cost rates by Matthey and Bünger (2019) and van Essen et al. (2019). Social costs are additionally assessed using to the DALY approach. Therefore the DALYs lost due to air pollutants are determined and costs per DALY are calculated using the willingness to pay-approach by Cropper and Khanna (2014) and Spengler (2004) additionally to a method by Daroudi et al. (2019) assessing health care expenditures.</p> <p><strong>Results:</strong> Applying this framework to the case study of Augsburg, results show, that environmental costs of 140.6 Million € arise from traffic in the city per year. These costs are entirely attributable to car traffic (77.7%), truck traffic (19.8%) and motorcycle traffic (1.9%), as public transport in Augsburg is climate neutral. Further, traffic on municipal roads in Augsburg causes a loss of 212.3 DALYs per year, which equals to annual social costs of 27.2 Million €. Cars account for 63.2% of those, trucks for 33.8%, motorcycles for 2.3% and buses for 0.2%, respectively. With a proportion of passenger kilometers of 90.4% from cars, 6.1% from motorcycles and 3.6% from buses, it is evident that cars contribute disproportionately to the environmental and social costs of Augsburg's traffic.</p> <p><strong>Conclusion:</strong> The social and economic follow-up costs of transport in the city of Augsburg are currently not borne by the polluter. Their great amount encourages measures, such as reinforcing the use of bicycles or public transport, eventually facilitating a change towards sustainable traffic in Augsburg.</p> <p> </p> <p><strong>References</strong></p> <p>Cropper, Maureen; Khanna, Shefali (2014): How Should the World Bank Estimate Air Pollution Damages? In Resources for the Future Discussion Paper, pp. 14–30.</p> <p>Daroudi, Rajabali; Faramarzi, Ahmad; Akbari Sari, Ali; Nahvijou, Azin (2019): Cost Per Daly Averted in Low, Middle and High Income Countries: Evidence from Global Burden of Disease Study to Estimate the Cost Effectiveness Thresholds. In SSRN Journal.</p> <p>Matthey, Astrid; Bünger, Björn (2019): Methodenkonvention 3.0 zur Ermittlung von Umweltkosten – Kostensätze. Edited by Umweltbundesamt. Available online at https://www.umweltbundesamt.de/sites/default/files/medien/1410/publikationen/2019-02-11_methodenkonvention-3-0_kostensaetze_korr.pdf, checked on 10/29/2020.</p> <p>Spengler, Hannes (2004): Kompensatorische Lohndifferenziale und der Wert eines statistischen Lebens in Deutschland. In Zeitschrift für ArbeitsmarktForschung-Journal for Labour Market Research 37 (3), pp. 269–305.</p> <p>van Essen, Huib; van Wijngaarden, Lisanne, Schroten, Arno; Sutter, Daniel; Bieler, Cuno; Maffii, Silvia; Brambilla, Marco et al. (2019): Handbook on the external costs of transport. Edited by CE Delft. Available online at https://ec.europa.eu/transport/sites/transport/files/studies/internalisation-handbook-isbn-978-92-79-96917-1.pdf, checked on 10/29/2020.</p>


2012 ◽  
Vol 5 (1) ◽  
pp. 99-111 ◽  
Author(s):  
KM Bahauddin ◽  
MH Uddin

Environmental Management Measure (EMM) model will be a well-designed approach for sustainable and effective solid waste management in Dhaka city. Environmental Management Measure (EMM) model has three instruments such as economic, regulatory and suasive which proposed in this paper. This paper discusses the situation of solid waste in Dhaka city as well as it offers environmental policy recommendations to concerned authorities including effective instruments to minimize the polluting behavior of individuals and industries and to recover the cost of pollution in the city. To improve solid waste management in Dhaka city, a combination of economic, regulatory and suasive instrument are recommended. The findings of the study will be helpful for policy maker, planner, implementer and other stakeholders towards adopting more effective strategy for management of solid waste in Dhaka city. DOI: http://dx.doi.org/10.3329/jesnr.v5i1.11601 J. Environ. Sci. & Natural Resources, 5(1): 99 - 111, 2012


2021 ◽  
Author(s):  
Paul Adam Erlichman.

Although some green housing elements have become more commonplace in residential renovations in Canada, the undertaking of complete green retrofits is relatively uncommon. This paper explores the barriers to green retrofits, such as affordability and bureaucracy, in the urban context of the City of Toronto. The research was informed by one main case study, one supplementary case study, and six interviews with sustainable housing experts. The research has yielded nine recommendations that are directed towards three levels of government and related public and private housing organizations. These recommendations have been made in the hopes of making sustainable housing more ubiquitous in Toronto.


Author(s):  
A. Razavi ◽  
F. Hosseinali

Abstract. Nowadays, people in most parts of the world always visit, travel and have fun in their cities or other cities, and they spend considerable time and money in their city or in other cities as a tourist. The existence of an intelligent and automated system that can provide the most suitable recreational and cultural offerings at any time and place, with regard to financial capability and time and transport constraints, as well as individual interests and personalization; has always been felt. Recommender systems can be used to suggest suitable recreational options for the user. The main difference between the recommendation model in this study and the previous models is to focus on the short-term planning of a few hours for one day. Previous models were often based on planning a few days a week or days of the month. Also, the cost factor has been considered in this research, which has been less considered in previous models. We used collaborative filtering based on logistic regression to predict whether a type of places is a proper proposition to a user or not. Our case study is about recommending the board game cafés in the city of Kerman, Iran and the result shows that mixed groups between 15 to 30 years old are the best target and our model can predict if board game café is a good suggestion to different users. We used correlation based recommender systems when board game cafes are a proper suggestion for a user and there are at least two options for the user. In case there is no information about the user and his previous rating, popularity based recommender system can be useful. We also used content based recommender systems to give recommendations by having some background information about previous itineraries of a user and his rating to those.


2021 ◽  
Author(s):  
Paul Adam Erlichman.

Although some green housing elements have become more commonplace in residential renovations in Canada, the undertaking of complete green retrofits is relatively uncommon. This paper explores the barriers to green retrofits, such as affordability and bureaucracy, in the urban context of the City of Toronto. The research was informed by one main case study, one supplementary case study, and six interviews with sustainable housing experts. The research has yielded nine recommendations that are directed towards three levels of government and related public and private housing organizations. These recommendations have been made in the hopes of making sustainable housing more ubiquitous in Toronto.


Game Theory ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Nicola Besozzi ◽  
Luca Ruschetti ◽  
Chiara Rossignoli ◽  
Fernanda Strozzi

This paper studies cost allocation for the bus transportation service in Castellanza, a small town (14,000 inhabitants ca.) close to Varese, Italy. Carlo Cattaneo University (LIUC) is one of the promoters and funders of this service, together with the City Council and other private agents. The case study is first analysed as a traveling salesman problem (TSP) to find the optimal route. Then the traveling salesman game (TSG) is introduced, where the bus stops are associated with the players of a cooperative game, thus allowing the study of possible allocations of the total cost among them. The optimal route is found by the Branch and Bound algorithm. The Shapley vector and the separable and nonseparable cost are the methods used to allocate the cost of the optimal route among players.


Author(s):  
Andry Wijaya ◽  
Suparman Abdullah ◽  
Rahmad Muhammad

One of the global developments that is fast and has quite an impact on the pattern of people's lives is developments in the field of technology and information, namely through the internet. YouTube has become an internet media that is in demand by various audiences around the world. Disbursing youtube adsense is fairly complicated, but the work as a youtuber is currently in great demand by Millennials. Youtuber is a new job that is synonymous with Millennials in this 4.0 industrial era. This study aims to determine the use of social capital trust by youtubers in increasing popularity, as well as to determine the use of social capital linking youtubers in increasing popularity. This study uses a qualitative approach, with informants namely millennial youtubers who live in the city of Makassar. Data collection techniques through observation, interviews and documentation, with data analysis techniques using: data reduction, data presentation and drawing conclusions and verification. The results of the study show that trust social capital is widely used by youtubers to increase their popularity, in this case increasing the number of subscribers and viewers on their youtube channel. Many YouTubers use social capital linking or networks to increase the number of subscribers and viewers. The social capital of the network used is by utilizing the friendship and community of YouTubers in the process of designing content, taking videos, editing to uploading videos and socializing YouTube channels in order to minimize the cost of managing YouTube channels for YouTubers


Author(s):  
Sada Abdalkhaliq Hasan

In this research the best cost and time are identified to implement a multi-level car park. The aim of this research is to develop a time frame model, including time and cost analysis, and to find optimal alternatives for a multi-level garage project during the planning phase. The proposed model has been developed using Solver program in Excel built for combining cost and time calculations by adopting the Project Management Software (MS-Project) to facilitate optimal solution access. In future the same project can be implemented at the lowest possible cost. This research concluded that it is possible to obtain the optimal solution after analyzing the alternatives using the Solver program and then taking the results of the optimization process to perform the improvement of the timeline. The research highlights the factors such as: the estimated cost, the planned time and the alternatives available for optimum performance aimed at finding optimal solutions and thus enhancing overall performance. The research was applied to the case study of one of the projects implemented within the city and found that the results are consistent with the research objective. According application of the model, the solution shows it will reduce cost and time to about 190292 $ and 91day from the cost and time of actual project.


Author(s):  
Paolo Cicconi ◽  
Vincenzo Castorani ◽  
Michele Germani ◽  
Marco Mandolini ◽  
Alessio Vita

The paper proposes a methodological approach to support the multi-objective (i.e. cost and structural performance) optimization of complex systems, typical of the oil & gas sector. The complexity is managed through a double-level of optimization. The first one, based on simplified product models (1-D and 0-D), considers an analytical approach for the structural behavior and a parametric one for the cost estimation. The second level considers the use of a 3-D FEM solver for structural simulations, and an analytical tool for the cost estimation. As case study, the paper proposes the design optimization of an oil & gas chimney for gas turbines. The workflow analyzed during the case study describes the use of a multi-objective and multi-level approach to optimize cost, weigh, and structural behavior of oil & gas ducts.


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