scholarly journals Uncertainty Quantification in Energy Management Procedures

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1471
Author(s):  
Luca Giaccone ◽  
Paolo Lazzeroni ◽  
Maurizio Repetto
Keyword(s):  
Open Source Software ◽  
Computational Cost ◽  
Energy Systems ◽  
Plant Performance ◽  
Simulation Tool ◽  
Energy Prices ◽  
Expansion Technique ◽  
Management Procedures ◽  
User Demand ◽  
Versus Input

Complex energy systems are made up of a number of components interacting together via different energy vectors. The assessment of their performance under dynamic working conditions, where user demand and energy prices vary over time, requires a simulation tool. Regardless of the accuracy of this procedure, the uncertainty in data, obtained both by measurements or by forecasting, is usually non-negligible and requires the study of the sensitivity of results versus input data. In this work, polynomial chaos expansion technique is used to evaluate the variation of cogeneration plant performance with respect to the uncertainty of energy prices and user requests. The procedure allows to obtain this information with a much lower computational cost than that of usual Monte-Carlo approaches. Furthermore, all the tools used in this paper, which were developed in Python, are published as free and open source software.

Review of empirical solar radiation models for estimating global solar radiation of various climate zones of China

2019 ◽  
Vol 44 (2) ◽  
pp. 168-188
Author(s):  
Shaban G Gouda ◽  
Zakia Hussein ◽  
Shuai Luo ◽  
Qiaoxia Yuan
Keyword(s):  
Solar Radiation ◽  
Solar Energy ◽  
Computational Cost ◽  
Energy Systems ◽  
Global Solar Radiation ◽  
Empirical Models ◽  
Dew Point ◽  
Machine Learning Techniques ◽  
Accurate Information ◽  
Input Parameters

Utilizing solar energy requires accurate information about global solar radiation (GSR), which is critical for designers and manufacturers of solar energy systems and equipment. This study aims to examine the literature gaps by evaluating recent predictive models and categorizing them into various groups depending on the input parameters, and comprehensively collect the methods for classifying China into solar zones. The selected groups of models include those that use sunshine duration, temperature, dew-point temperature, precipitation, fog, cloud cover, day of the year, and different meteorological parameters (complex models). 220 empirical models are analyzed for estimating the GSR on a horizontal surface in China. Additionally, the most accurate models from the literature are summarized for 115 locations in China and are distributed into the above categories with the corresponding solar zone; the ideal models from each category and each solar zone are identified. Comments on two important temperature-based models that are presented in this work can help the researchers and readers to be unconfused when reading the literature of these models and cite them in a correct method in future studies. Machine learning techniques exhibit performance GSR estimation better than empirical models; however, the computational cost and complexity should be considered at choosing and applying these techniques. The models and model categories in this study, according to the key input parameters at the corresponding location and solar zone, are helpful to researchers as well as to designers and engineers of solar energy systems and equipment.

Optimal Design of a Heat Exchanger for an Externally-Fired Microturbine in Combined Heat and Power Generation

2008 ◽  
Author(s):  
Juha Kaikko ◽  
Lasse Koskelainen ◽  
Jari L. H. Backman ◽  
Jaakko Larjola
Keyword(s):  
Heat Exchanger ◽  
Net Present Value ◽  
Vital Role ◽  
Hot Water ◽  
Plant Performance ◽  
Energy Prices ◽  
Direct Combustion ◽  
Heat Engines ◽  
Economical Optimization ◽  
The Cost

Biofuels have a vital role in emerging distributed energy systems. Special interest is focused on heat engines that can utilize biomass by direct combustion, such as externally-fired microturbines (EFMT). This paper considers a case where a natural gas-fired microturbine is converted into an EFMT. In the application the combustion chamber is replaced by a metallic heat exchanger retrofitted into a large biomass-fueled hot water boiler. The hot air that leaves the microturbine is directed into the furnace as preheated combustion air. In the paper, techno-economical optimization is performed for the selected heat exchanger configuration. The optimization is based on maximizing the net present value of the investment. The optimum depends on the cost of the new components and the resulting effect on the overall plant performance. The results show that the energy prices have only a mild impact on the optimum dimensions, although the feasibility of the investment itself depends strongly on the economy parameters. Using the optimized heat exchanger, the performance of the EFMT is predicted under part-load conditions of the boiler.

On-Sun Performance of FLATCON® CPV Systems

2010 ◽  
Vol 74 ◽  
pp. 288-296
Author(s):  
Andreas Gombert ◽  
Inka Heile ◽  
Johannes Wüllner ◽  
Tobias Gerstmaier ◽  
Sascha van Riesen ◽  
...  
Keyword(s):  
Power Efficiency ◽  
Power Plants ◽  
Energy Systems ◽  
Fresnel Lens ◽  
Plant Performance ◽  
Solar Irradiation ◽  
Bottom Plate ◽  
Short Introduction ◽  
Ac Power ◽  
Fraunhofer Institute

Concentrating photovoltaic (CPV) systems based on III-V semiconductors entered the photovoltaic market recently. Concentrix Solar deploys the FLATCON® CPV module technology originally developed at the Fraunhofer Institute for Solar Energy Systems ISE. This paper gives a short introduction in design considerations of FLATCON CPV module and provides detailed field data of the system technology over up to two years are presented as well as field experiences with the operation of the systems. FLATCON modules are based on III-V triple junction cells, a Fresnel lens array, and a glass cover and bottom plate. In 2008, Concentrix installed a single tracker system and two power plants in Spain. A system solar-to-grid AC energy efficiency of 21% over the whole period of two years with maximum system AC power efficiency values of 23% for a single tracker system are shown. Similar systems installed in 2009 and equipped with the current FLATCON module CX-75 achieved system AC power efficiencies of 25%. The effects of spectral variations of the solar irradiation on power plant performance are discussed.

Deriving efficient policy portfolios promoting sustainable energy systems—Case studies applying Invert simulation tool

2006 ◽  
Vol 31 (15) ◽  
pp. 2393-2410 ◽  
Author(s):  
Lukas Kranzl ◽  
Michael Stadler ◽  
Claus Huber ◽  
Reinhard Haas ◽  
Mario Ragwitz ◽  
...  
Keyword(s):  
Case Studies ◽  
Sustainable Energy ◽  
Energy Systems ◽  
Simulation Tool ◽  
Sustainable Energy Systems

scholarly journals A literature review on Building Integrated Solar Energy Systems (BI-SES) for façades − photovoltaic, thermal and hybrid systems

2022 ◽  
Vol 7 ◽  
pp. 7
Author(s):  
Karol Bot ◽  
Laura Aelenei ◽  
Maria da Glória Gomes ◽  
Carlos Santos Silva
Keyword(s):  
Systematic Review ◽  
Solar Energy ◽  
Literature Review ◽  
Parametric Analysis ◽  
Energy Systems ◽  
Experimental Simulation ◽  
Simulation Tool ◽  
Strategic Development ◽  
Building Facades ◽  
And Performance

The building façade has a crucial role in acting as the interface between the environment and the indoor ambient, and from an engineering and architecture perspective, in the last years, there has been a growing focus on the strategic development of building façades. In this sense, this work aims to present a literature review for the Building Integrated Solar Energy Systems (BI-SES) for façades, subdivided into three categories: thermal, photovoltaic and hybrid (both thermal and photovoltaic). The methodology used corresponds to a systematic review method. A sample of 75 works was reviewed (16 works on thermal BI-SES, 37 works on photovoltaic BI-SES, 22 works on hybrid BI-SES). This article summarises the works and later classifies them according to the type of study (numerical or experimental), simulation tool, parametric analysis and performance when applied.

Assessment of soft and hard linking approaches of integrated water-energy simulation

2020 ◽  
Author(s):  
Mikiyas Etichia ◽  
Eduardo Alejandro Martinez ◽  
Julien Harou ◽  
Mathaios Panteli
Keyword(s):  
Renewable Energy Sources ◽  
Computational Cost ◽  
Energy Systems ◽  
Energy System ◽  
Domestic Water ◽  
Sustainable Solutions ◽  
System Models ◽  
Advantages And Disadvantages ◽  
Operation Rules ◽  
Trade Offs

<p>The strong synergies between water and energy use are becoming increasingly evident nowadays. It is becoming more and more apparent that significant benefits can be gained if both resources are managed in an integrated manner, which can be critical to improve efficiencies, reduce trade-offs, and find better and more sustainable solutions to future energy and water resources scarcity problems. Two types of approaches have drawn attention to integrate water and power system models, namely soft-link and hard-link approaches. Soft-linking approaches involve iterations, wherein the two system models are simulated independently, and their outputs (e.g., water available for hydropower generation) are passed to the other model until convergence is reached. In hard-link approaches, both the water and power systems are simulated with a single optimization model. More research to understand better the implications of different water-energy linking approaches, their computational cost, flexibility, and scalability are critically needed.</p><p>In this work water and energy system network models are linked with varying levels of integration (i.e., gradually moving from soft to hard link approaches) to demonstrate the advantages and disadvantages of the different types of links. The water and energy model includes multi-purpose storage reservoirs, irrigation, and domestic water users, renewable energy sources, and conventional power generators. Results show that soft linking approaches are more suitable for water-energy systems with fixed reservoir operation rules. Hard linking approaches are proven to be more suitable for cases with well established water and energy markets and can be computationally cheaper than soft linking approaches. Better joint simulation will help investigate better ways to manage and invest in water-energy systems.</p>

scholarly journals Optimal Coordination Strategies for Load Service Entity and Community Energy Systems Based on Centralized and Decentralized Approaches

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3202
Author(s):  
Longxi Li
Keyword(s):  
Energy Demand ◽  
Numerical Study ◽  
Storage System ◽  
Energy Systems ◽  
Energy Prices ◽  
Renewable Energy Resources ◽  
Coordination Strategies ◽  
Coordination Scheme ◽  
Game Theoretic ◽  
Optimal Coordination

The energy interaction among a load service entity and community energy systems in neighboring communities leads to a complex energy generation, storage, and transaction problem. A load service entity is formed by a local electricity generation system, storage system, and renewable energy resources, which can provide ancillary services to customers and the utility grid. This paper proposes two coordination schemes for the interaction of community-based energy systems and load service entities based on game-theoretic frameworks. The first one is a centralized coordination scheme with full cooperation, in which the load service entity and community energy systems jointly activate the local resources. The second one is set as a decentralized coordination scheme to obtain a relative balance of interests among the market participants in a Stackelberg framework. Two mathematical models are developed for the day-ahead decision-making of the above energy management schemes. The Shapley value method, Karush-Kuhn-Tucker conditions, and strong dual theory are applied to solve the complex coordination problems. Numerical study shows the effectiveness of the coordination strategies that all stakeholders benefit from the proposed coordination schemes and create a win–win situation. In addition, sensitivity analysis is conducted to study the effects of system configuration, energy demand, and energy prices on the economic performance of all stakeholders. The results can serve as references for business managers of the load service entity.

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