Safety and Performance of Electricity Production Facilities

2013 ◽  
pp. 1-5
Author(s):  
Gilles Deleuze ◽  
Jean Primet ◽  
Philippe Klein ◽  
Carole Duval ◽  
Antoine Despujols
Keyword(s):  
Electricity Production ◽  
And Performance ◽  
Production Facilities

CONSTRUCTABILITY STUDY OF ASPHALT PAVEMENTS INCORPORATING SHALLOW GEOTHERMAL ENERGY

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Ali Zalghout ◽  
Nooralhuda Saleh ◽  
Samir Sari Ad Din ◽  
Ghassan Chehab
Keyword(s):  
Pilot Study ◽  
Geothermal Energy ◽  
Large Scale ◽  
Asphalt Pavement ◽  
Permanent Deformation ◽  
Electricity Production ◽  
Asphalt Pavements ◽  
Control Section ◽  
Shallow Geothermal Energy ◽  
And Performance

The incorporation of geothermal energy in heating and electricity production has rapidly increased during the last three decades. This paper focuses on the use of shallow geothermal energy in asphalt pavement, herein called Ground Coupled Hydronic Asphalt Pavement (GCHAP) system. GCHAP consists of a series of pipes embedded within the asphalt layer coupled with another network of pipes embedded in the soil. A circulating fluid acts to exchange the heat energy between the soil and the asphalt layer. The system can be used for cooling the pavement, which results in decreasing permanent deformation in the summer. This paper presents a study on the constructability and performance of such systems on a large-scale section. Numerical analyses and a pilot study were conducted to select the system design components. A 9.6 x 4 meter GCHAP section was constructed on a municipal road in addition to another control section. The secondary network of pipes was placed three meters below the ground. Sensors were embedded within the GCHAP system to record and compare the temperature of the pavement to that of the control section. The results showed that GCHAP section can decrease the pavement temperature leading to an increase in resistance to permanent deformation. Moreover, the constructability study showed the importance of performing a pilot study before constructing the system to ensure the resilience of the pipes.

scholarly journals Tailored Algorithms for Anomaly Detection in Photovoltaic Systems

Energies ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 225 ◽  
Author(s):  
Pedro Branco ◽  
Francisco Gonçalves ◽  
Ana Cristina Costa
Keyword(s):  
Time Series ◽  
Alternative Energy ◽  
Weather Conditions ◽  
Electricity Production ◽  
Pv System ◽  
Detection Algorithms ◽  
Pv Systems ◽  
Adverse Weather ◽  
Full Capacity ◽  
And Performance

The fastest-growing renewable source of energy is solar photovoltaic (PV) energy, which is likely to become the largest electricity source in the world by 2050. In order to be a viable alternative energy source, PV systems should maximise their efficiency and operate flawlessly. However, in practice, many PV systems do not operate at their full capacity due to several types of anomalies. We propose tailored algorithms for the detection of different PV system anomalies, including suboptimal orientation, daytime and sunrise/sunset shading, brief and sustained daytime zero-production, and low maximum production. Furthermore, we establish simple metrics to assess the severity of suboptimal orientation and daytime shading. The proposed detection algorithms were applied to a set of time-series of electricity production in Portugal, which are based on two periods with distinct weather conditions. Under favourable weather conditions, the algorithms successfully detected most of the time-series labelled with either daytime or sunrise/sunset shading, and with either sustained or brief daytime zero-production. There was a relatively low percentage of false positives, such that most of the anomaly detections were correct. As expected, the algorithms tend to be more robust under favourable rather than under adverse weather conditions. The proposed algorithms may prove to be useful not only to research specialists, but also to energy utilities and owners of small- and medium-sized PV systems, who may thereby effortlessly monitor their operation and performance.

scholarly journals SCENARIOS FOR THE DEPLOYMENT OF CARBON CAPTURE AND STORAGE IN THE POWER SECTOR IN A PORTFOLIO OF MITIGATION OPTIONS

2020 ◽  
pp. 2150001
Author(s):  
JENNIFER MORRIS ◽  
HAROON KHESHGI ◽  
SERGEY PALTSEV ◽  
HOWARD HERZOG
Keyword(s):  
Carbon Capture ◽  
Power Plants ◽  
Carbon Capture And Storage ◽  
Carbon Price ◽  
Electricity Production ◽  
Base Case ◽  
Power Sector ◽  
Storage Potential ◽  
And Performance ◽  
And Storage

Using the MIT Economic Projection and Policy Analysis (EPPA) model, we explore factors influencing carbon capture and storage (CCS) deployment in power generation and its role in mitigating carbon emissions. We find that in the 2∘C scenario with EPPA’s base-case technology cost and performance assumptions, CCS plays an important role in the second half of the century: by 2100 CCS is applied to almost 40% of world electricity production, with a third coming from coal with CCS and the other two-thirds from gas with CCS. Results on CCS deployment depend on the assumed fraction of carbon captured in CCS power plants, as emissions constraints get tighter and the carbon price rises. Adding options for higher capture fractions or offsetting uncaptured emissions leads to greater deployment of CCS than in the 2∘C base case. We provide a sensitivity analysis by making favorable assumptions for CCS, nuclear and renewables. We also explore regional differences in the deployment of CCS. We find that US and Europe mostly rely on gas CCS, whereas China relies on coal CCS and India pursues both options. We also assess how these projections align with assessment of CO2 storage potential, and find that storage potential is larger than storage demand at both global and regional scales. Ultimately, we find that under stringent mitigation scenarios, the power sector relies on a mix of technological options, and the conditions that favor a particular mix of technologies differ by region.

New FORTRAN meanline code for investigating the volute to rotor interspace effect on mixed flow turbine performance

2021 ◽  
pp. 095440892110070
Author(s):  
Ahmed Ketata ◽  
Zied Driss
Keyword(s):  
Test Data ◽  
Expansion Ratio ◽  
Industrial Applications ◽  
Electricity Production ◽  
Mixed Flow ◽  
Turbine Efficiency ◽  
Wide Range ◽  
Fortran Language ◽  
Design Speed ◽  
And Performance

Mixed flow turbines are widely used in several industrial applications covering turbomachinery, automotive engineering and electricity production. For decades, it is well known that mixed flow turbines are a seat of several loss phenomena such as the volute to rotor interspace loss, subject of this paper. Commonly, the meanline approach is the first step solution for building a preliminary design of such turbines and estimating subsequent losses. The accuracy of the code used in the meanline modeling is crucial for building an optimized turbine design with a minimized loss generation. This paper presents an improved validated meanline code, written in the newest object-oriented version of the FORTRAN language, for turbomachinery performance prediction. Unlike commercially available codes, the code allows the calculation of the rotor passage loss coefficient given the turbine expansion ratio without the need for additional test data. The standard deviation value between the code and test data is less than 10%, for all studied cases which ensure the validity of the developed model. Then, the developed code is exploited to investigate the effect of the volute to rotor interspace geometry on the loss generation and performance of a mixed flow turbine. Indeed, a performance distribution over a wide range of rotational speed and an energy loss breakdown are depicted and discussed showing a significant impact of the volute to rotor interspace. The results revealed an improvement in the turbine efficiency up to 2.9% with a volute to rotor interspace radii ratio of 0.59 at 80% of the design speed.

scholarly journals Infrastructure deficiency and the performance of small- and medium-sized enterprises in Nigeria’s Liberalised Economy

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Lawrence O. Obokoh ◽  
Geoff Goldman
Keyword(s):  
Electricity Production ◽  
Structured Interviews ◽  
Infrastructure Provision ◽  
Longitudinal Approach ◽  
Key Factor ◽  
Managerial Implications ◽  
The Government ◽  
Value Add ◽  
And Performance ◽  
Basic Infrastructure

Orientation: The paper investigates the situation facing SME’s in Nigeria, who have to function in an environment with depleted infrastructure.Research purpose: To examine the effects of infrastructure deficiency on the performance of manufacturing small and medium sized enterprises in Nigeria.Motivation for the study: Low budgetary allocation by the Nigerian government toward investment and rehabilitation of infrastructure in favor of attempts to conform to the tenets of trade liberalisation, has created a situation where basic infrastructure provision is a huge challenge in the creation of SME’s.Research design, approach and method: A longitudinal approach was followed, where a survey was conducted amongst 500 SME’s in Nigeria. To complement this, semi-structured interviews were conducted in 2007 and 2011 respectively. Main findings: The deficiency in infrastructure negatively impacts the profitability and performance of SMEs, due to the high cost incurred by SMEs in the self-provision of infrastructure and distribution of finished goods. Furthermore, despite the successful privatisation of electricity production in November 2013, there is still no significant improvement in the power supply in Nigeria. However, the government has embarked on road rehabilitation to ease the transportation of goods and services.Practical/managerial implications: The study uncovers the practical realities of the challenges faced by SME’s operating in an environment with insufficient infrastructure, which is typical of much of the developing world.Contribution/value add: The study highlights the necessity of sound infrastructure provision as a key factor to the development of SME’s.

scholarly journals Performance evaluation of roof top solar photovoltaic systems in Tamilnadu

2019 ◽  
Vol 8 (3) ◽  
pp. 265
Author(s):  
M. Aravindan ◽  
V. Balaji ◽  
V. Saravanan ◽  
M. Arumugam
Keyword(s):  
Power Plants ◽  
Performance Ratio ◽  
Electricity Production ◽  
Energy Yield ◽  
Solar Photovoltaic ◽  
Pv System ◽  
System Output ◽  
And Performance ◽  
Bad Weather ◽  
Performance Results

This manuscript reports the monitored performance results of roof top solar photovoltaic (PV) power plants in different parts of Tamilnadu, India. In this work, PV plants of capacities 84 kWp and 18 kWp located at Tirunelveli and Ranipet respectively in Tamilnadu are considered. During an eight month period, of September 2014 to April 2015, these plants had generated 43.99 MWh and 15.55 MWh units of electricity respectively. The average electricity production per day for the considered period of these plants is 181.74 kWh and 62.81 kWh respectively. The performance ratio (PR) of these plants PV1 and PV2 is found to be 0.52 and 0.86 respectively. The characteristics of poly crystalline PV modules and the performance of employed photovoltaic inverters are also analyzed.It is observed that external conditions like climate and bad weather significantly reduces the PV system output, whereas it reduces marginally due to inverter failure as observed from the values of energy yield and performance ratio of these plants. Online monitoring of PV plant with DC/AC line and phase voltages and current waveforms observed for the given day are also presented.

scholarly journals Color coated glazing for next generation BIPV: performance vs aesthetics

2021 ◽  
Vol 12 ◽  
pp. 11
Author(s):  
Benjamin Riedel ◽  
Paul Messaoudi ◽  
Ya Brigitte Assoa ◽  
Philippe Thony ◽  
Rayan Hammoud ◽  
...  
Keyword(s):  
Electrical Performance ◽  
Electricity Production ◽  
Colored Glass ◽  
Next Generation ◽  
Aesthetic Quality ◽  
Interferential Filter ◽  
Generation Cost ◽  
Cost Efficient ◽  
And Performance ◽  
The Impact

Through the H2020 BE-SMART project, we work on the validation and industrialization of new materials (and processes) for manufacturing next-generation cost-efficient, reliable and highly aesthetic/performing BIPV. On this basis, we aim at introducing novel multifunctional and transformative BIPV elements, in the concept/form of Energy Positive Glazing (EPoG). The project's developments so far indicate the high potential of e.g. using colored encapsulants, interferential filter technique and/or ceramic-based colored glazing for implementing novel “transformative” BIPV with high aesthetic quality. Yet, since BIPV's primary function is electricity production, we need to understand and quantify the impact of such coloration solutions on the performance (and reliability, in longer terms) of future BIPV. In this paper, we present an experimental comparative study on the optical and electrical performance of multiple color coated and patterned BIPV glazing solutions, towards their upscaling and commercialization. In particular, we performed optical transmission measurements and light intensity-/angle-depent IV characterization on 25 different colored glass samples and 10 different colored/patterned glass PV laminates respectively. The measurement results and their discussion presented in this paper provide valuable insights into the optical-electrical performance of the investigated colored BIPV glazing, as well as a first identification of BIPV industry-relevant colors and patterns with the best potential “compromise” between aesthetics and performance, for future energy positive glazing applications.

Optimum Planning of Electricity Production

2008 ◽  
Author(s):  
Giovanni Cerri ◽  
Marco Gazzino ◽  
Francesca Alessandra Iacobone ◽  
Ambra Giovannelli
Keyword(s):  
Maintenance Management ◽  
Electricity Production ◽  
Planning Problem ◽  
Economic Implications ◽  
Maintenance Strategies ◽  
Optimum Planning ◽  
Production Planning Problem ◽  
And Performance ◽  
Life Consumption ◽  
Plant Behaviour

The power production planning problem has been deeply investigated. Maintenance management and load allocation problems have been assumed as crucial aspects for achieving maximum plant profitability. Modelling of life consumption of hot section components has been considered as one of the key feature necessary to simulate the plant behaviour. The approach takes market scenarios, as well as actual status and performance of plant components into account. A supervisor algorithm provides the operating parameters needed to establish each plant loading. Economic implications related to maintenance strategies including postponement or anticipation of maintenance interventions are investigated and results obtained by the numerical simulation are presented and widely discussed.

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