scholarly journals Residential Photovoltaic Profitability with Storage under the New Spanish Regulation: A Multi-Scenario Analysis

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1987
Author(s):  
Bruno Domenech ◽  
Gema Calleja ◽  
Jordi Olivella
Keyword(s):  
Sensitivity Analysis ◽  
Solar Radiation ◽  
Economic Performance ◽  
Limited Impact ◽  
For Profit ◽  
Risks And Benefits ◽  
Spanish Law ◽  
Self Sufficiency ◽  
Profit Maximisation ◽  
Compensation Rate

In recent years, solar price drops and regulations have helped residential users to invest in grid-connected photovoltaic (PV) facilities. In Spain, a novel law promotes self-consumption by discounting electricity fed into the grid from the utility bill. However, the performance of PV-based facilities depends on diverse factors. The contribution of this paper is to evaluate the techno-economic performance of such installations for different considerations linked to the Spanish law. A simulation model is used to examine different representative cities, load profiles and alternative objectives: maximising profitability and self-sufficiency. For profit maximisation, results show that load profile variations entail PV size changes up to 5 kWp for the same location, together with huge economic and self-sufficiency differences. In contrast, the solar radiation and compensation rate have a more limited influence. For self-sufficiency maximisation, the economic performance drops close to EUR 0, as benefits are used to double the PV size, buy batteries and reach close to 70% self-sufficiency. Finally, a sensitivity analysis shows a limited impact of the utility tariff and the technology cost on the PV size, but a relevant influence on the benefits. These results can help investors and families to quantify the risks and benefits of domestic self-consumption facilities.

scholarly journals Ventilated Double Window for the Preheating of the Ventilation Air Comparison of Its Performance in a Northern and a Southern European Climate

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Jorge S. Carlos ◽  
Helena Corvacho
Keyword(s):  
Sensitivity Analysis ◽  
Solar Radiation ◽  
Indoor Air ◽  
Climatic Data ◽  
Relevant Factor ◽  
Outdoor Air ◽  
Cold Winter ◽  
Passive System ◽  
Reference Levels ◽  
European Climate

Keeping the indoor air quality within the reference levels requires that the polluted indoor air be replaced by fresh air coming from the outside. This paper presents a sensitivity analysis and a series of simulations where the performance of this passive system is studied. The influence of each relevant factor, like the wind, the solar radiation, and the outdoor air temperature, is assessed. Two different local sets of climatic data were chosen, a mild and a cold winter.

Approximation algorithms for profit maximisation in multicast D2D networks

2021 ◽  
Vol 36 (1) ◽  
pp. 8
Author(s):  
Cian You Yang ◽  
Wing Kai Hon ◽  
Jang Ping Sheu ◽  
Jagadeesha R. Bhat
Keyword(s):  
Approximation Algorithms ◽  
For Profit ◽  
Profit Maximisation

Governing Homelessness through Running

2019 ◽  
Vol 25 (2) ◽  
pp. 88-118 ◽  
Author(s):  
Bryan C Clift
Keyword(s):  
Social Life ◽  
The United States ◽  
The Body ◽  
Self In Relation ◽  
For Profit ◽  
Not For Profit ◽  
Development Organizations ◽  
Self Sufficiency ◽  
The Social ◽  
A Site

In the context of social welfare austerity and non-state actors’ interventions into social life, an urban not-for-profit organization in the United States, Back on My Feet, uses the practice of running to engage those recovering from homelessness. Promoting messages of self-sufficiency, the organization centralizes the body as a site of investment and transformation. Doing so calls to the fore the social construction of ‘the homeless body’ and ‘the running body’. Within this ethnographic inquiry, participants in recovery who ran with the organization constructed moralized senses of self in relation to volunteers, organizers, and those who do not run, while in recovery. Their experiences compel consideration of how bodily constructions and practices reproduce morally underpinned, self-oriented associations with homeless and neoliberal discourses that obfuscate systemic causes of homelessness, pose challenges for well-intentioned voluntary or development organizations, and service the relief of the state from social responsibility.

The Comparative Economic Performance of Investor-Owned Chain and Not-for-Profit Hospitals

1986 ◽  
Vol 314 (2) ◽  
pp. 89-96 ◽  
Author(s):  
J. Michael Watt ◽  
Robert A. Derzon ◽  
Steven C. Renn ◽  
Carl J. Schramm ◽  
James S. Hahn ◽  
...  
Keyword(s):  
Economic Performance ◽  
For Profit ◽  
Not For Profit

scholarly journals New Developments in Ensemble-based Probabilistic Forecasting of Solar Radiation: The WRF-Solar Ensemble Prediction System

2021 ◽  
Author(s):  
Manajit Sengupta ◽  
Pedro Jimenez ◽  
Jaemo Yang ◽  
Ju-Hye Kim ◽  
Yu Xie
Keyword(s):  
Sensitivity Analysis ◽  
Solar Radiation ◽  
Solar Irradiance ◽  
Solar Power ◽  
Ensemble Prediction ◽  
Prediction System ◽  
Ensemble Prediction System ◽  
Stochastic Perturbations ◽  
Radiation Data ◽  
Solar Generation

<p>The demand for increased accuracy in predicting solar power has grown considerably over recent years due to a rapid growth in grid-tied solar generation both utility scale and distributed. To increase confidence in forecasting solar power there is a need to provide reliable probabilistic solar radiation information that also minimizes error and uncertainty. Funded by the U.S. Department of Energy, the Weather Research and Forecasting (WRF)-Solar ensemble prediction system (WRF-Solar EPS) has been recently developed by a collaboration between the National Renewable Energy Laboratory and the National Center for Atmospheric Research. The WRF-Solar EPS is now ready to be disseminated to support the integration of solar generation resources and improve accuracy of day-ahead and intraday probabilistic solar forecasts. The first stage of our framework in developing WRF-Solar EPS required a specially designed method using a tangent linear (TL) sensitivity analysis to efficiently investigate uncertainties of WRF-Solar variables in forecasting clouds and solar irradiance. For the second stage, we applied a methodology to introduce stochastic perturbations in 14 key variables ascertained through the TL sensitivity analysis in generating ensemble members. A user-friendly interface is provided in WRF-Solar EPS, in which the parameters of stochastic perturbations can be controlled by configuration files. Lastly, we implemented an analog technique as an ensemble post-processing method to improve the performance of ensemble solar irradiance forecasts. This presentation will summarize the work performed in the past 3 years to understand the interactions between cloud physics, land surface, boundary layer and radiative transfer models through the development of a probabilistic cloud optimized day-ahead forecasting system based on WRF-Solar. For evaluation of forecasts, we adapt and use satellite-derived solar radiation data, e.g., the National Solar Radiation Data Base (NSRDB) as well as ground-measured observations. A comprehensive analysis to assess gridded model outputs over the Contiguous U.S is performed. The importance of evaluation of the WRF-Solar model with the NSRDB lies in the fact that the knowledge of the cloud-caused uncertainties in predicting solar irradiance over a wide range of regions provides model developers a detailed understanding of model strength and weaknesses in predicting clouds. Overall, we will present the detailed research steps that resulted in the development of the WRF-Solar EPS. We will also present a detailed validation demonstrating the improvements provided by this model. Moreover, we will also introduce the user’s guide for WRF-Solar EPS and future extension of this research.</p>

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