scholarly journals Policy Implications of Power Exchanges on Operational Scheduling: Evaluating EUPHEMIA’s Market Products in Case of Greece

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2715 ◽  
Author(s):  
Nikolaos Koltsaklis ◽  
Athanasios Dagoumas
Keyword(s):  
Decision Making ◽  
Electricity Market ◽  
Relevant Literature ◽  
Policy Implications ◽  
Research Centre ◽  
Variable Cost ◽  
Wholesale Market ◽  
Joint Research ◽  
Market Participants ◽  
The Impact

A vital component for the development of a functioning internal electricity market is the adoption by each European member state of the Pan-European Hybrid Electricity Market Integration (EUPHEMIA) for the day-ahead market solution. The consideration of the national power market’s characteristics enables more realistic market design towards the implementation of the so-called “Target Model”. This work considers a series of factors, including the EUPHEMIA order types, their use by market participants, the relative competitiveness of power generators, the impact of interconnected markets, the existence of market players with dominant positions, and the existence of specific regulations such as the minimum average variable cost restriction on offers by producers, as well as the strategy adopted by market participants. The main goal of this paper is to provide a comprehensive analysis on the adoption of EUPHEMIA’s algorithm in case of the Greek wholesale market, based on a relevant research project funded by the Joint Research Centre of the European Commission to support the Hellenic Regulatory Authority of Energy on its decision-making. The paper contributes to the relevant literature on the quantification of the impacts of the EUPHEMIA algorithm in the case of the Greek wholesale market, providing insights on the crucial aspects affecting realistic, market-based decision-making.

scholarly journals The demography of desert Australia

2008 ◽  
Vol 30 (1) ◽  
pp. 29 ◽  
Author(s):  
Dominic Brown ◽  
John Taylor ◽  
Martin Bell
Keyword(s):  
Economic Policy ◽  
Arid Zone ◽  
Policy Implications ◽  
Population Projections ◽  
Research Centre ◽  
Arid Zones ◽  
Demographic Information ◽  
The Impact ◽  
First Time ◽  
Semi Arid

In recent years, with the formation of organisations such as the Desert Knowledge Cooperative Research Centre, social science interest in the Australian desert has re-surfaced with a research emphasis that is focused on creating sustainable futures for the region. One consequence of this is a demand for detailed demographic information to allow an assessment of different quanta of need in social and economic policy, and for assessment of the impact of these in environmental policy. However, demographic analysis on human populations in the desert to date has attracted very little research attention. In this paper we begin to address this lack of analysis by focusing on the populations, both aboriginal and non-aboriginal, of the arid and semi-arid zones of Australia. We extend earlier analysis by including for the first time demographic information on the semi-arid as well as the arid zone to establish the spatial pattern of population growth within the whole desert area drawing attention to the resulting settlement structure as an outcome of prevailing social, cultural and economic conditions. By examining population structure and demographic components of population change we also present for the first time population projections for the semi-arid zone and, therefore, in combination with the arid zone, for the entire Australian desert. All of this provides a basis for considering social and economic policy implications and the nature of underlying processes that drive change in this region.

The Impact of Weighting Methods and Behavioral Attitudes on the Weighting Process in Decision-Making

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Anastasia Tzioutziou ◽  
Yiannis Xenidis
Keyword(s):  
Decision Making ◽  
Relevant Literature ◽  
Weighting Method ◽  
Behavioral Traits ◽  
Complex Process ◽  
Original Survey ◽  
Methodological Aspects ◽  
The Impact ◽  
Behavioral Attitudes ◽  
Weighting Methods

Abstract The determination of weights in decision-making problems can be deduced as a complex process of preference formation. Preferences are expressions of behavioral attitudes and are affected by external circumstances, such as risk and ambiguity. The objective of this research is to examine the impact of both the human factor and the weighting methods on the weighting process in decision-making problems. Based on relevant literature a new methodology is proposed and applied to identify with the use of a psychometric function the behavioral attitudes of decision-making analysts against risk and ambiguity. Furthermore, the examination of process-related features such as the weighting method, the weighting scale and the weighting problem's presentation provides additional knowledge on the understanding of the weighting process in decision-making problems. Thus, an original survey is designed, aiming at: (a) the identification of the respondents' attitudinal preferences based on multiple personality tests and (b) the elicitation of weight assignments through the use of different weighting tasks and subtasks. The findings reveal that the weightings and their consistency are significantly affected by the elicitation method, the nature of the weighting scale and the problem's framing. It is also interesting that the decision analysts' behavioral traits, in association with the problem's methodological aspects, affect the weight assignments, thus providing evidence for the potential to predict weightings in the decision-making process.

scholarly journals Managing Wind Turbine Generators with a Profit Maximized Approach

2020 ◽  
Vol 12 (17) ◽  
pp. 7139
Author(s):  
Dominik McInnis ◽  
Massimiliano Capezzali
Keyword(s):  
Wind Turbine ◽  
Electricity Market ◽  
Investment Decision ◽  
Production Costs ◽  
Variable Cost ◽  
Turbine Generators ◽  
Wind Turbine Generators ◽  
Short Run ◽  
The Impact ◽  
Feed In Tariff

In Europe, at least 3 GW installed capacity of wind turbine generators (WTG) will fall out of subsidy schemes every year from 2021 onwards. An estimated 50% of this capacity cannot be replaced with new WTG due to commercial and legal restrictions. The remaining options are either to sell the electricity without subsidies on the wholesale electricity market—a novelty for most WTG, as most are receiving a feed-in tariff—or their dismantlement. Since the electricity market fixes the price at the intersection of demand and short run marginal production costs, WTG might struggle to generate enough revenues to cover their costs. This paper proposes an innovative commercialization strategy for WTG after the end of the feed-in tariff, namely a profit-maximized approach that focuses on synergies between revenues and costs when increasing the curtailments of the WTG. The two key elements of this approach are a more flexible and variable cost structure and a central overall optimization process. The paper proves the potential of this new strategy and highlights the necessity of further research for WTG at the end of their lifetime from a technical and commercial perspective, due to the impact on the initial investment decision and best allocation of subsides.

scholarly journals Decision-Making Support Methods, Algorithms and Tools for Electricity Market Participants

2020 ◽  
Author(s):  
◽  
Kārlis Baltputnis
Keyword(s):  
Decision Making ◽  
Power Plant ◽  
Electricity Market ◽  
Large Scale ◽  
Demand Forecasting ◽  
Combined Heat And Power ◽  
Market Participants ◽  
Hydropower Plants ◽  
Storage Technologies ◽  
Support Methods

Electricity market participants need to optimize their processes to avoid being outcompeted by other traders. Consequently, decision-making methods, algorithms and tools related to large-scale energy storage technologies (scheduling, sizing) and cascaded hydropower plants (scheduling, hydroelectric set selection), as well as heating demand forecasting, which is a prerequisite for efficient combined heat and power plant participation in an electricity market.

Data-Driven Method to Study the Impact of Utilizing Electric Ground Power Systems on Airport Electricity Demand Profile

2020 ◽  
Vol 2674 (4) ◽  
pp. 261-271
Author(s):  
S.M. Sajed Sadati ◽  
Kristen S. Cetin
Keyword(s):  
Power Systems ◽  
Ambient Temperature ◽  
Electricity Market ◽  
Weather Conditions ◽  
Electricity Demand ◽  
Photovoltaic System ◽  
Wholesale Market ◽  
Rate Structure ◽  
Aircraft Type ◽  
The Impact

Gate electrification provides electricity and preconditioned air to stationary aircraft at airport gates as an alternative to the use of auxiliary power units. This includes a preconditioned air unit (PCA) and a ground power unit (GPU). This study aims to explore the impact of utilizing these units on the electricity demand of airports and analyzes the associated costs for both the cases of purchasing the electricity from a utility following a typical large commercial rate structure, and participating in the wholesale electricity market. The possibility of benefiting from solar energy to supply this electricity demand is also examined. The demand for gate electrification was measured at a gate at Des Moines International Airport in Iowa, U.S.A., and combined with other data including weather conditions and aircraft types to identify significant explanatory variables for electricity demand. This analysis revealed that ambient temperature is the main PCA demand predictor while aircraft type is the main factor driving the GPU demand. A linear regression model was developed to estimate the PCA electricity demand based on the ambient temperature. For the GPU, the typical demand was used based on aircraft type. This analysis shows that gate electrification used across all gates can contribute to up to 87% of the measured peak demand of the airport; the cost of participating in the wholesale market would be 57% less than following the current large commercial rate structure, and the airport can benefit from installing a photovoltaic system if the surplus electricity is utilized.

Medication Decision Making Among African American Caregivers of Children With ADHD: A Review of the Literature

2020 ◽  
pp. 108705472093078
Author(s):  
Amy Glasofer ◽  
Catherine Dingley ◽  
Andrew Thomas Reyes
Keyword(s):  
Decision Making ◽  
African American ◽  
Observational Studies ◽  
Relevant Literature ◽  
Future Research ◽  
Cultural Norms ◽  
Children With Adhd ◽  
The Impact ◽  
Specific Barriers ◽  
African American Caregivers

Background: Significant pharmacotherapy disparities exist among children from ethnic minorities with ADHD. Objective: The purpose of this review is to synthesize existing evidence on African American caregiver medication decision making (MDM) for children with ADHD. Method: Databases queried for this review included the Cumulative Index of Nursing and Allied Health Literature (CINAHL), PsychINFO, PubMed, and Education Resources Information Center (ERIC). Information regarding the unique culturally specific barriers and supports to MDM were examined through the relevant literature search. Results: Fourteen articles were included in this review (seven observational studies, four qualitative studies, three mixed methods studies). Three main themes were identified which include (a) fundamental perspectives of ADHD, and cultural norms for child behavior; (b) the impact of fundamental perspectives on MDM in ADHD; and (c) ADHD diagnosis and treatment as forms of social control. Conclusion: Evidence-based recommendations for clinicians are provided, along with direction for future research.

Modelling systems to describe maternal productivity, with the aim of improving beef production efficiency by eliciting practice change

2018 ◽  
Vol 58 (1) ◽  
pp. 193 ◽  
Author(s):  
B. J. Walmsley ◽  
V. H. Oddy
Keyword(s):  
Decision Making ◽  
Nutrient Availability ◽  
Nutrient Intake ◽  
Genetic Differences ◽  
Pregnancy Rates ◽  
Research Centre ◽  
Beef Production ◽  
Cow Calf ◽  
Carcass Performance ◽  
The Impact

The overall efficiency of beef production is considered more highly correlated with cow–calf efficiency, viz. maternal productivity (MP), than the efficiency of other segments of the beef production chain. Recently, concerns have been raised that improvements in feedlot and carcass performance have led to a decline in MP due to the uncertainty that surrounds the relationships between production and MP traits. The Beef Cooperative Research Centre ‘Maternal Productivity’ Project examined the impact of cow genotype and nutrient intake on breeding herd productivity. This experiment demonstrated that cow body composition is influenced by genetic differences in rib fat and residual feed intake, as well as nutrient availability. Genetic differences in rib fat were shown to influence heifer pregnancy rates, observed days to calving, MP when nutrient intake is restricted and ME intake by the cow–calf unit. Weaning rate was found to account for a large portion of the variation in MP, while cow genetic background and pre-weaning nutrient availability influenced the postweaning and carcass performance of progeny. These findings demonstrate that although balancing the requirements of MP with those of other traits is not straight forward, it is of critical importance. Incorporating modelling systems into decision-support systems (DSS) offers the opportunity to integrate fragmented knowledge into decision making. Unfortunately, previous DSS have gained little traction and limited adoption due to their perceived complexity, large input-data requirements, and mismatches between outputs and the decision-making styles of producers. The development of the BeefSpecs fat calculator provides an example of how producer-measurable inputs and simple user interactions can be combined using modelling systems to develop DSS to improve MP. No single model that addressed all issues affecting MP was found in the literature. Thus, it was concluded that previous modelling systems would need to be combined to develop a suite of DSS that target-specific components of MP, such as heifer pregnancy rates and interactions between the cow herd and the nutritional environment.

scholarly journals Does Gender Diversity on Board Promote Corporate Social Responsibility? An Empirical Analysis of Sustainable Development Goals

2021 ◽  
Vol 15 (5) ◽  
pp. 22-40
Author(s):  
Amit Kumar Singh ◽  
Hima Bindu Kota ◽  
Varda Sardana ◽  
Shubham Singhania
Keyword(s):  
Decision Making ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Policy Implications ◽  
Strategic Decision ◽  
Women Directors ◽  
Gender Diverse ◽  
Board Capital ◽  
Corporate Social ◽  
The Impact

Recent regulatory changes in India require the firms to improve the appointment of female directors on corporate boards, and it is believed that such a regulation would prove to be a boon in terms of strategic decision making. The Board Capital Theory advocates that the appointment of women directors on board shall enhance various dimensions of the board capital breadth and help in better decision making. With growing consciousness for sustainable practices throughout the globe, it is pertinent to see whether the gender diverse boards can promote corporate social responsibility and create a business case for their upsurge, as it would give room for policy implications. This study investigates the impact of gender diverse boards on promoting corporate social responsibility, using multivariate regression with a sample of NIFTY 50 Index for the period 2014-2019. The study found insignificant positive relation among gender-diverse boards and sustainability. To check for the robustness of the study, we have used two diversity indices, Blau & Shannon index, to supplement our results.

scholarly journals Bottom-up Modeling of Local Energy Markets within a Pan-European Wholesale Electricity Market Model

2020 ◽  
Author(s):  
Carlo Schmitt ◽  
Kenneth Samaan ◽  
Henrik Schwaeppe ◽  
Albert Moser
Keyword(s):  
Electricity Market ◽  
Energy System ◽  
Energy Markets ◽  
Computational Effort ◽  
Market Model ◽  
Local Energy ◽  
Wholesale Market ◽  
Bottom Up ◽  
Local Markets ◽  
The Impact

The energy system decarbonization and decentralization<br>require coordination schemes for distributed generators<br>and flexibilities. One coordination approach is local energy markets for trading energy among local producers and consumers. The resulting local coordination leads to the questions of how the interaction between local and wholesale markets will be designed and of how the introduction of local energy markets influences the wholesale market system. Therefore, this paper proposes a bottom-up modeling method for local markets within a pan- European wholesale market model. Furthermore, an aggregation-disaggregation method for local markets is developed to reduce computational effort. A case study for local markets in Germany shows the computational advantages of the aggregation-disaggregation method. Preliminary results indicate the impact of different interaction designs between local and wholesale markets on the wholesale market and show the need for further research.

Microinsurance performance – a systematic narrative literature review

2015 ◽  
Vol 15 (1) ◽  
pp. 146-170 ◽  
Author(s):  
George Apostolakis ◽  
Gert van Dijk ◽  
Periklis Drakos
Keyword(s):  
Literature Review ◽  
Financial Performance ◽  
Social Impact ◽  
Relevant Literature ◽  
Well Being ◽  
Policy Implications ◽  
Future Research ◽  
Published Data ◽  
Content Type ◽  
The Impact

Purpose – This study aims to offer a literature review on microinsurance, focusing on its financial performance and social impact. The aim is to review current research in microinsurance performance. Over the past decade, microinsurance has aroused the interest of the scientific community. Scholars have monitored its development and have examined its impact on the poor’s ability of breaking out of the poverty trap. Design/methodology/approach – A systematic-narrative method was used to review the relevant literature. In total, 64 relevant articles on investigating the financial performance and the effects of microinsurance programs on the poor’s well-being were reviewed, coded and followed by a narrative synthesis. Findings – This review synthesizes current published data on microinsurance to provide practitioners and researchers with a better understanding of this important area. Microinsurance benefits the poor, as it reduces their vulnerability to poverty. Microinsurance has a twofold impact on an individual’s ability to overcome poverty. First, it has a direct impact on access to healthcare services and, second, it has an indirect effect on an individual’s economic status, by moderating risk vulnerability and improving income stability. Further research is necessary to reach concrete conclusions about the financial performance of microinsurance programs. Finally, the analysis of the literature revealed an absence of research regarding the impact of microinsurance on society and sustainable development. Research limitations/implications – An understanding of the performance of microinsurance services is important. Therefore, the findings can be used by microinsurance practitioners to assess and improve their performance. Further, policy implications such as improvement of financial knowledge and social marketing via education polices to increase microinsurance awareness of its benefits are recommended. Originality/value – This review provides a synthesis of the literature in microinsurance concerning its financial and social performance, and raises suggestions for future research.

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