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Konstantinos Chalvatzis

Other affiliations: Norwich University
Bio: Konstantinos Chalvatzis is an academic researcher from University of East Anglia. The author has contributed to research in topics: Renewable energy & Electricity. The author has an hindex of 24, co-authored 63 publications receiving 1608 citations. Previous affiliations of Konstantinos Chalvatzis include Norwich University.


Papers
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TL;DR: In this article, the authors evaluate the impact of knowledge about environmental and energy issues on potential pro-environmental behavior in households, specifically relating to behaviours, attitudes and habits towards energy use.

217 citations

Journal ArticleDOI
TL;DR: In this paper, the authors assess the out-of-sample performance of Bitcoin within portfolios of various asset classes and a well-diversified portfolio under four strategies and estimate the economic gains net of transaction costs.

133 citations

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TL;DR: The authors employ an asymmetric multivariate VAR-GARCH model to study spillover effects between Bitcoin and energy and technology companies and find unilateral return and volatility spillovers and bidirectional shock influences.

132 citations

Journal ArticleDOI
TL;DR: In this paper, the feasibility of an alternative operation strategy for energy storage systems (ESSs), based on the use of wind energy surplus, is investigated, by employing, for the first time, a comprehensive socioeconomic cost-benefit model that takes into account initial investment subsidies and feed-in tariffs (FiTs) for ESSs.

121 citations

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TL;DR: This article explored a special case of electronic word of mouth that of employees' online reviews to study the determinants of job satisfaction and employee turnover, finding that leadership and cultural values are better predictors of high employee satisfaction, while career progression is critical for employee turnover.

120 citations


Cited by
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01 Aug 2001
TL;DR: The study of distributed systems which bring to life the vision of ubiquitous computing systems, also known as ambient intelligence, is concentrated on in this work.
Abstract: With digital equipment becoming increasingly networked, either on wired or wireless networks, for personal and professional use alike, distributed software systems have become a crucial element in information and communications technologies. The study of these systems forms the core of the ARLES' work, which is specifically concerned with defining new system software architectures, based on the use of emerging networking technologies. In this context, we concentrate on the study of distributed systems which bring to life the vision of ubiquitous computing systems, also known as ambient intelligence.

2,774 citations

01 Jan 2016
TL;DR: Thank you very much for reading input output analysis foundations and extensions, as many people have search hundreds of times for their chosen readings like this, but end up in infectious downloads.
Abstract: Thank you very much for reading input output analysis foundations and extensions. As you may know, people have search hundreds times for their chosen readings like this input output analysis foundations and extensions, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some malicious virus inside their desktop computer.

1,316 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the existing literature in the analysis of life cycle costs of utility-scale electricity storage systems, providing an updated database for the cost elements (capital costs, operational and maintenance costs, and replacement costs).
Abstract: Large-scale deployment of intermittent renewable energy (namely wind energy and solar PV) may entail new challenges in power systems and more volatility in power prices in liberalized electricity markets. Energy storage can diminish this imbalance, relieving the grid congestion, and promoting distributed generation. The economic implications of grid-scale electrical energy storage technologies are however obscure for the experts, power grid operators, regulators, and power producers. A meticulous techno-economic or cost-benefit analysis of electricity storage systems requires consistent, updated cost data and a holistic cost analysis framework. To this end, this study critically examines the existing literature in the analysis of life cycle costs of utility-scale electricity storage systems, providing an updated database for the cost elements (capital costs, operational and maintenance costs, and replacement costs). Moreover, life cycle costs and levelized cost of electricity delivered by electrical energy storage is analyzed, employing Monte Carlo method to consider uncertainties. The examined energy storage technologies include pumped hydropower storage, compressed air energy storage (CAES), flywheel, electrochemical batteries (e.g. lead–acid, NaS, Li-ion, and Ni–Cd), flow batteries (e.g. vanadium-redox), superconducting magnetic energy storage, supercapacitors, and hydrogen energy storage (power to gas technologies). The results illustrate the economy of different storage systems for three main applications: bulk energy storage, T&D support services, and frequency regulation.

1,279 citations

Journal ArticleDOI
TL;DR: In this article, a comprehensive review of the battery state of charge estimation and its management system for the sustainable future electric vehicles (EVs) applications is presented, which can guarantee a reliable and safe operation and assess the battery SOC.
Abstract: Due to increasing concerns about global warming, greenhouse gas emissions, and the depletion of fossil fuels, the electric vehicles (EVs) receive massive popularity due to their performances and efficiencies in recent decades. EVs have already been widely accepted in the automotive industries considering the most promising replacements in reducing CO2 emissions and global environmental issues. Lithium-ion batteries have attained huge attention in EVs application due to their lucrative features such as lightweight, fast charging, high energy density, low self-discharge and long lifespan. This paper comprehensively reviews the lithium-ion battery state of charge (SOC) estimation and its management system towards the sustainable future EV applications. The significance of battery management system (BMS) employing lithium-ion batteries is presented, which can guarantee a reliable and safe operation and assess the battery SOC. The review identifies that the SOC is a crucial parameter as it signifies the remaining available energy in a battery that provides an idea about charging/discharging strategies and protect the battery from overcharging/over discharging. It is also observed that the SOC of the existing lithium-ion batteries have a good contribution to run the EVs safely and efficiently with their charging/discharging capabilities. However, they still have some challenges due to their complex electro-chemical reactions, performance degradation and lack of accuracy towards the enhancement of battery performance and life. The classification of the estimation methodologies to estimate SOC focusing with the estimation model/algorithm, benefits, drawbacks and estimation error are extensively reviewed. The review highlights many factors and challenges with possible recommendations for the development of BMS and estimation of SOC in next-generation EV applications. All the highlighted insights of this review will widen the increasing efforts towards the development of the advanced SOC estimation method and energy management system of lithium-ion battery for the future high-tech EV applications.

1,150 citations

Posted Content
01 Jan 1994
TL;DR: In this paper, a natural resource-based view of the firm is proposed, which is composed of three interconnected strategies: pollution prevention, product stewardship, and sustainable development, and each of these strategies are advanced for each of them regarding key resource requirements and their contributions to sustained competitive advantage.
Abstract: Historically, management theory has ignored the constraints imposed by the biophysical (natural) environment. Building upon resource-based theory, this article attempts to fill this void by proposing a natural-resource-based view of the firm—a theory of competitive advantage based upon the firm's relationship to the natural environment. It is composed of three interconnected strategies: pollution prevention, product stewardship, and sustainable development. Propositions are advanced for each of these strategies regarding key resource requirements and their contributions to sustained competitive advantage.

902 citations