Classification of Technical Operation Services for Renewable Energy Power Plants

2013 ◽  
Vol 4 (2) ◽  
pp. 92-101 ◽  
Author(s):  
Michael Sonnenberg ◽  
Stefan Kühne ◽  
Michael Becker
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Classification Scheme ◽  
Comprehensive Evaluation ◽  
Added Value ◽  
Energy Services ◽  
Technical Operation

In the rapidly growing market for renewable energy, a generally accepted classification of renewable energy services is still absent. In the context of this article, a classification for technical operation services is developed. Starting from a basic structuring of renewable energy services and a comprehensive evaluation of service portfolios of the providers, a classification scheme is derived. This scheme can generate added value for the industry for example in the area of portfolio presentation and structured development of services.

PP194 Intersectoral Costs And Benefits In The Societal Perspective

2019 ◽  
Vol 35 (S1) ◽  
pp. 74-74
Author(s):  
Ruben Drost ◽  
Inge van der Putten ◽  
Dirk Ruwaard ◽  
Silvia Evers ◽  
Aggie Paulus
Keyword(s):  
Health Care ◽  
Mental Disorders ◽  
Literature Search ◽  
Classification Scheme ◽  
Social Effects ◽  
Added Value ◽  
Costs And Benefits ◽  
Scarce Resources ◽  
Health Care Interventions

IntroductionMany health care interventions have costs and benefits that spill over to sectors outside the healthcare sector. Little is known about these inter-sectoral costs and benefits (ICBs). However, to achieve an efficient allocation of scarce resources, insights on ICBs are indispensable. The main objective of this study was to identify the ICBs related to health care and provide a sector-specific classification scheme for these ICBs. For this sector-specific classification scheme mental disorders were taken as an example, as we expect that this is the sector with the most ICBs.MethodsUsing PubMed, a literature search was conducted for ICBs of mental disorders and related (psycho)social effects. A policy perspective was used to build the scheme's structure, which was adapted to the outcomes of the literature search. In order to validate the scheme's international applicability inside and outside the mental health domain, semi-structured interviews were conducted with (inter)national experts in the broad fields of health care.ResultsThe searched-for items appeared in a total of fifty-two studies. The ICBs found were classified in one of four sectors: “Education”, “Labor and Social Security”, “Household and Leisure” or “Criminal Justice System”. Psycho(social) effects were placed in a separate section under “Individual and Family”. Based on interviews, the scheme remained unadjusted, apart from adding a population-based dimension.ConclusionsThis is the first study which offers a sector-specific classification of ICBs. Given the explorative nature of the study, no guidelines on sector-specific classification of ICBs were available. Nevertheless, the classification scheme was acknowledged by an international audience and could therefore provide added value to researchers and policymakers in the field of health technology assessment. The identification and classification of ICBs offers decision makers supporting information on how to optimally allocate scarce resources. By exploring a new area of research, which has remained largely unexplored until now, the current study has an added value as it may form the basis for the development of a tool which can be used to calculate the ICBs of health care interventions.

scholarly journals Classification of Renewable Sources of Electricity in the Context of Sustainable Development of the New EU Member States

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2271 ◽  
Author(s):  
Jacek Brożyna ◽  
Grzegorz Mentel ◽  
Eva Ivanová ◽  
Gennadii Sorokin
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
The European Union ◽  
Member States ◽  
Eu Member States ◽  
Electrical Capacity ◽  
New Eu Member States

Climate change and awareness of the need to care for the environment have resulted in a global increase in the interest in renewable energy sources. The European Union (EU) is active in this respect and requires Member States to fulfill specific plans in the transformation of their energy systems. We employed hierarchical cluster analysis in an attempt to distinguish those countries among the new EU Member States that increased their electrical capacity from renewable energy sources to the greatest extent while paying attention to their energy intensity. The analyses were conducted in two scenarios for both 2004 and 2016. The first scenario assumed an analysis of all known renewable energy sources, whereas in the second scenario, only renewable energy sources from wind and solar power plants were included. The division of analyses into these two variants showed the importance of the differences in the energy assessment of individual countries, depending on classification of renewable energy sources. We identified groups of countries where electrical capacity from renewable energy sources increased the most. Conducting analyses using two variants allowed distinguishing countries that based most of their renewable energy on modern renewable energy sources, such as solar and wind power plants. The inclusion of gross domestic product in the analyses allowed us to identify countries with the worst energy efficiency value.

scholarly journals Analyzing Trade in Continuous Intra-Day Electricity Market: An Agent-Based Modeling Approach

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3860
Author(s):  
Priyanka Shinde ◽  
Ioannis Boukas ◽  
David Radu ◽  
Miguel Manuel de Manuel de Villena ◽  
Mikael Amelin
Keyword(s):  
Renewable Energy ◽  
Electricity Market ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Agent Based Modeling ◽  
Market Liquidity ◽  
Energy Sources ◽  
Modeling Framework ◽  
Agent Based

In recent years, the vast penetration of renewable energy sources has introduced a large degree of uncertainty into the power system, thus leading to increased trading activity in the continuous intra-day electricity market. In this paper, we propose an agent-based modeling framework to analyze the behavior and the interactions between renewable energy sources, consumers and thermal power plants in the European Continuous Intra-day (CID) market. Additionally, we propose a novel adaptive trading strategy that can be used by the agents that participate in CID market. The agents learn how to adapt their behavior according to the arrival of new information and how to react to changing market conditions by updating their willingness to trade. A comparative analysis was performed to study the behavior of agents when they adopt the proposed strategy as opposed to other benchmark strategies. The effects of unexpected outages and information asymmetry on the market evolution and the market liquidity were also investigated.

scholarly journals A SWOT Analysis Approach for a Sustainable Transition to Renewable Energy in South Africa

2021 ◽  
Vol 13 (7) ◽  
pp. 3933
Author(s):  
Solomon E. Uhunamure ◽  
Karabo Shale
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Renewable Energy ◽  
Regional Integration ◽  
Power Plants ◽  
Swot Analysis ◽  
Climatic Conditions ◽  
Policy Implications ◽  
Analysis Approach ◽  
Renewable Energy Resources

South Africa is been faced with erratic power supply, resulting in persistent load shedding due to ageing in most of its coal-fired power plants. Associated with generating electricity from fossil fuel are environmental consequences such as greenhouse emissions and climate change. On the other hand, the country is endowed with abundant renewable energy resources that can potentially ameliorate its energy needs. This article explores the viability of renewable energy using the strengths, weaknesses, opportunities and threats (SWOT) analysis approach on the key renewable potential in the country. The result indicates that geographic position, political and economic stability and policy implementation are some of the strengths. However, Government bureaucratic processes, level of awareness and high investment cost are some of the weaknesses. Several opportunities favour switching to renewable energy, and these include regional integration, global awareness on climate change and the continuous electricity demand. Some threats hindering the renewable energy sector in the country include land ownership, corruption and erratic climatic conditions. Some policy implications are suggested based on the findings of the study.

scholarly journals The Sustainability of Decentralised Renewable Energy Projects in Developing Countries: Learning Lessons from Zambia

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3757
Author(s):  
Susann Stritzke ◽  
Prem Jain
Keyword(s):  
Renewable Energy ◽  
Energy Use ◽  
Relevant Literature ◽  
Financial Data ◽  
Added Value ◽  
Local Context ◽  
Energy Access ◽  
Solar Pv ◽  
Social Dimensions ◽  
Sustainability Challenges

Decentralised renewable energy (RE) systems such as solar PV mini-grids (MG) are considered to be a cornerstone for the strategic achievement of the UN’s energy access goals in the developing world. Many of these systems implemented however face substantial technical, financial and social sustainability challenges which are also a recurring theme in the relevant literature. MG analyses however often lack detailed technical or financial data or apply ‘silo-approaches’ as a comprehensive review of MG case study literature presented in this article reveals. Consequently, this study aims to enhance the understanding of RE MG sustainability in the developing context based on the integrated evaluation of the technical, financial and social dimensions of MG operation through empirical data from community surveys on energy use from Uganda and Zambia and two in-depth MG case studies from Zambia. By presenting detailed technical and financial data in combination with energy consumer perception, the study aims to close existing data gaps on sustainable RE MG operation and offers an approach to evaluate and optimise the operational sustainability of an MG in its individual local context. The article finds that the complex rural community ecosystem is a central, but yet undervalued determinant of MG sustainability in rural developing contexts. The mismatch between energy affordability and MG tariffs threatens MG sustainability and the scaling of energy access projects if not addressed specifically during project development and implementation. Consequently, the article calls for a strategic inclusion of community-ecosystem parameters and MG planning based on realistic energy affordability levels and an added value approach that includes dynamic MG financing mechanisms and targeted measures to generate added value through energy consumption as integral parts of RE MG projects.

scholarly journals Portfolio optimization of power plants by using renewable energy in Iran

2020 ◽  
Author(s):  
Seyedeh Asra Ahmadi ◽  
Seyed Mojtaba Mirlohi ◽  
Mohammad Hossein Ahmadi ◽  
Majid Ameri
Keyword(s):  
Renewable Energy ◽  
Portfolio Optimization ◽  
Energy Supply ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Modern Society ◽  
Sustainable Growth ◽  
Electricity Sector ◽  
Capital Costs

Abstract Lack of investment in the electricity sector has created a huge bottleneck in the continuous flow of energy in the market, and this will create many problems for the sustainable growth and development of modern society. The main reason for this lack of investment is the investment risk in the electricity sector. One way to reduce portfolio risk is to diversify it. This study applies the concept of portfolio optimization to demonstrate the potential for greater use of renewable energy, which reduces the risk of investing in the electricity sector. Besides, it shows that investing in renewable energies can offset the risk associated with the total input costs. These costs stem from the volatility of associated prices, including fossil fuel, capital costs, maintenance, operation and environmental costs. This case study shows that Iran can theoretically supply ~33% of its electricity demand from renewable energy sources compared to its current 15% share. This case study confirms this finding and predicts that Iran, while reducing the risk of investing in electricity supply, can achieve a renewable energy supply of ~9% with an average increase in supply costs. Sensitivity analysis further shows that with a 10% change in input cost factors, the percentage of renewable energy supply is only partially affected, but basket costs change according to the scenario of 5–32%. Finally, suggestions are made that minimize risk rather than cost, which will bring about an increase in renewable energy supply.

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