Smarter asset management for renewable energy

2012 ◽  
Author(s):  
B.P. Hanley ◽  
R.J. Clayton
Keyword(s):  
Renewable Energy ◽  
Asset Management

scholarly journals BPM Tools for Asset Management in Renewable Energy Power Plants

2019 ◽  
Author(s):  
Vincenza Carchiolo ◽  
Giovanni Catalano ◽  
Michele Malgeri ◽  
Carlo Pellegrino ◽  
Giulio Platania ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Asset Management ◽  
Power Plants

scholarly journals An Overview of Digital Twin Concept for Key Components of Renewable Energy Systems

2021 ◽  
Vol 8 ◽  
pp. 29-47
Author(s):  
Qiying Li
Keyword(s):  
Renewable Energy ◽  
Condition Monitoring ◽  
Asset Management ◽  
Energy System ◽  
Operational Reliability ◽  
Energy Structure ◽  
Low Carbon ◽  
Operation Condition ◽  
Digital Twin ◽  
Renewable Energy System

Renewable energy (RE) is green and low-carbon energy, which can not only protect the environment, promote the technological diversification of the energy supply system, accelerate the adjustment of energy structure, but also has important significance for the sustainable development of economy. With the increasing complexity of the problems of renewable energy system asset management and ensuring the operational reliability of electric power equipment, it's necessary to establish remote, online, reliable monitoring and inspection techniques for the state evaluation of electrical equipment during the full life cycle. In order to meet these demands, the digital twin is a very suitable technology. In recent years, there are numerous scientific papers demonstrating DT's capabilities in virtual simulation, condition monitoring (CM), power optimization and fault diagnosis for RE generation systems, transmission and transformation equipment and storage systems. The majority of the research focusing on product design, maintenance of operation, condition monitoring and fault decision-making has provided many valuable contributions to academia and industrial fields. Nevertheless, all this valuable information is scattered over many literatures and it is lack of systematic generalization. In this article, different applications of DT technology in RE system are analyzed, advanced methods and theories are summarized comprehensively, and the development trend of DT technology in renewable energy system in the future is introduced.

scholarly journals Smart Asset Management for District Heating Systems in the Baltic Sea Region

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 314
Author(s):  
Anna Grzegórska ◽  
Piotr Rybarczyk ◽  
Valdas Lukoševičius ◽  
Joanna Sobczak ◽  
Andrzej Rogala
Keyword(s):  
Renewable Energy ◽  
Baltic Sea ◽  
Asset Management ◽  
Renewable Energy Sources ◽  
District Heating ◽  
Operating Conditions ◽  
Energy Sources ◽  
The Baltic Sea ◽  
Baltic Sea Region ◽  
The Baltic

The purpose of this review is to provide insight and a comparison of the current status of district heating (DH) systems for selected Baltic Sea countries (Denmark, Germany, Finland, Latvia, Lithuania, Poland, and Sweden), especially from viewpoints of application and solutions of novel smart asset management (SAM) approaches. Furthermore, this paper considers European projects ongoing from 2016, involving participants from the Baltic Sea Region, concerning various aspects of DH systems. The review presents the energy sources with particular attention to renewable energy sources (RES), district heating generations, and the exploitation problems of DH systems. The essential point is a comparison of traditional maintenance systems versus SAM solutions for optimal design, operating conditions, and controlling of the DH networks. The main conclusions regarding DH systems in Baltic Sea countries are commitment towards a transition to 4th generation DH, raising the quality and efficiency of heat supply systems, and simultaneously minimizing the costs. The overall trends show that applied technologies aim to increase the share of renewable energy sources and reduce greenhouse gas emissions. Furthermore, examples presented in this review underline the importance of the implementation of a smart asset management concept to modern DH systems.

scholarly journals Current Status and Future Trends in the Operation and Maintenance of Offshore Wind Turbines: A Review

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2484
Author(s):  
Giovanni Rinaldi ◽  
Philipp R. Thies ◽  
Lars Johanning
Keyword(s):  
Renewable Energy ◽  
Condition Monitoring ◽  
Asset Management ◽  
Early Stage ◽  
Wind Farms ◽  
Industrial Condition ◽  
Offshore Wind ◽  
Current Status ◽  
Operation And Maintenance ◽  
Fault Diagnosis And Prognosis

Operation and maintenance constitute a substantial share of the lifecycle expenditures of an offshore renewable energy farm. A noteworthy number of methods and techniques have been developed to provide decision-making support in strategic planning and asset management. Condition monitoring instrumentation is commonly used, especially in offshore wind farms, due to the benefits it provides in terms of fault identification and performance evaluation and improvement. Incorporating technology advancements, a shift towards automation and digitalisation is taking place in the offshore maintenance sector. This paper reviews the existing literature and novel approaches in the operation and maintenance planning and the condition monitoring of offshore renewable energy farms, with an emphasis on the offshore wind sector, discussing their benefits and limitations. The state-of-the-art in industrial condition-based maintenance is reviewed, together with deterioration models and fault diagnosis and prognosis techniques. Future scenarios in robotics, artificial intelligence and data processing are investigated. The application challenges of these strategies and Industry 4.0 concepts in the offshore renewables sector are scrutinised, together with the potential implications of early-stage project integration. The identified technologies are ranked against a series of indicators, providing a reference for a range of industry stakeholders.

scholarly journals Overview and Tools of Asset Management in Renewable Energy Based Smart Grid

2018 ◽  
Vol 7 (2.18) ◽  
pp. 22
Author(s):  
Surender Reddy Salkuti
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Asset Management ◽  
Environmental Sustainability ◽  
Distribution Systems ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Optimal Operation ◽  
Renewable Energy Resources ◽  
Time Data

This paper presents the importance, issues and challenges related to Smart Grid. It also evaluates various approaches for Smart Grid planning and operation. It discusses tools for asset management and their applicability to the next generation grid. The proper asset management reduces the risk of equipment failure, extends the equipment life and minimizes the occurrence of unplanned outages. Aging assets, uncertainty in load demand profile and renewable energy resources, and demand management create a challenge for the optimal operation and maintenance of electrical grid. Frequent condition assessment with asset audit enables a comprehensive assessment of the asset in question and includes objective and transparent asset condition information recommendations for the improved environmental sustainability. This paper addresses the challenges and opportunities to improve transmission and distribution systems asset maintenance. This paper also presents the asset replacement alternatives. It presents the cost-benefit analysis of asset management using the information/real time data from the utility company. This paper will serve a guide for doing the asset management to the electrification  process, investment and  recovery to sustain reliable and efficient power delivery.

Verification and Benchmarking Methodology for O&M Planning and Optimization Tools in the Offshore Renewable Energy Sector

2018 ◽  
Author(s):  
Giovanni Rinaldi ◽  
Ajit C. Pillai ◽  
Philipp R. Thies ◽  
Lars Johanning
Keyword(s):  
Renewable Energy ◽  
Asset Management ◽  
Wind Farm ◽  
Complex Dynamics ◽  
Real Data ◽  
Energy System ◽  
Offshore Wind ◽  
Operational Experience ◽  
Computational Tools ◽  
Simulation And Optimization

Lowering Operation and Maintenance (O&M) expenses is pivotal in order to increase the penetration of offshore renewables in the generation of electricity. The combined use of Monte Carlo simulation and optimization algorithms has been explored to support the assets management and propose improved solutions in an efficient and automated way. However, due to the lack of operational experience and historical data, validation of these models, intended in the commonly known sense of comparison against observed data is often not possible. This generates concern about their ability to fully grasp and interpret the complex dynamics of an offshore renewable energy system. This paper presents a method to effectively calibrate, verify and benchmark computational tools for O&M strategies and asset management of an offshore wind farm, as an alternative to validation in absence of real data. A case study is used to test the quality of the results and compare them against those provided by similar tools built for the same purpose. The evaluation functions for an optimization of the O&M strategies are then benchmarked against these outputs in order to ensure that the solutions are consistent within the overall characterization and optimization framework. The requirements for acceptability of the models performance, as well as guidelines for analogous verifications using similar models, are derived. Hence, this work provides a basis to benchmark future models and increase confidence and credibility in computational tools for the O&M planning of offshore renewables.

Assessing Knowledge Assets in Renewable Energy SMEs in Scotland

2012 ◽  
pp. 55-66
Author(s):  
Antonio Lerro ◽  
Giovanni Schiuma ◽  
Robert Huggins ◽  
Daniel Prokop ◽  
Maria Weir
Keyword(s):  
Renewable Energy ◽  
Performance Improvement ◽  
Asset Management ◽  
Small And Medium Enterprises ◽  
Organizational Knowledge ◽  
Energy Sector ◽  
Knowledge Assets ◽  
Knowledge Resources ◽  
Intellectual Assets ◽  
And Performance

This chapter develops a research protocol to identify a domain of organizational knowledge resources and assets within firms and provides the final main insights of a research project managed by the Intellectual Assets Center in Scotland in order to support the adoption of knowledge asset management initiatives for driving innovation and performance improvement of Small and Medium Enterprises (SMEs) operating in the renewable energy sector. The chapter first presents a methodology for valuing organizational knowledge assets within SMEs operating in the renewable energy industry. Then, an exploratory survey with a sample of 58 organizations from the Scottish renewable energy sector is introduced. Finally, the chapter analyses and discusses the main insights about SMEs’ perception and orientation to identifying, measuring, and managing knowledge, and to qualitatively identify a feasible set of knowledge resources and assets potentially driving performance improvement.

scholarly journals Full Life Cycle Management of Power System Integrated With Renewable Energy: Concepts, Developments and Perspectives

2021 ◽  
Vol 9 ◽  
Author(s):  
Kang Wang ◽  
Yikai Li ◽  
Xiaojun Wang ◽  
Zengtao Zhao ◽  
Ning Yang ◽  
...  
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Life Cycle ◽  
Asset Management ◽  
Life Cycle Cost ◽  
Large Scale ◽  
Power Grid ◽  
Peak Load ◽  
Frequency Regulation ◽  
Continuous Growth

Under high-penetration of renewable energy, power grid is facing with the development problems such as production delay, wind and solar power abandoning. With the continuous growth of renewable energy installation such as wind power, photovoltaic (PV), as well as the increase of power generation capacity, it is urgent to increase peak-load and frequency regulation capacity on a large scale to alleviate the consumption problems caused by large renewable energy integration, and then requires power generation enterprises of peak-load and frequency regulation to increase relevant equipment assets. As a result, peak-load and frequency regulation enterprises must carry out scientific cost management of equipment assets. This paper introduces the concepts, developments and perspectives of life cycle cost (LCC) management of equipment assets in high-penetrated renewable energy power grid, and probes into cost collection and estimation scheme in the process of equipment asset management.

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