Deloitte Touche Tohmatsu Limited, commonly referred to as Deloitte, is one of the Big Four professional services firms along with PricewaterhouseCoopers , Ernst & Young, and KPMG. Deloitte is the second largest professional services network in the world by revenue and has 182,000 employees in more than 150 countries providing audit, tax, consulting, enterprise risk and financial advisory services. Wikipedia.
IEEE Transactions on Sustainable Energy | Year: 2011
Scale Efficient Network Extension (SENE) to connect remote renewable generation resources requires a new regulatory regime to facilitate construction of transmission in anticipation of uncertain generation development. This paper first discusses the conflicting requirements of such transmission development. While it is desirable to take advantage of significant economies of scale of high voltage/ultrahigh voltage (HV/UHV) transmission, there is a risk of part of these assets getting stranded, if generation does not eventuate. This is a trade-off that traditional cost-benefit analysis of transmission under the current regulatory regime does not take into account. On the other hand, a transmission asset that is scale efficient and does not have stranding risk may not necessarily have positive net market benefit. We have analyzed how these fundamentally different benefits and risks associated with transmission assets may be shared among various parties. Second, we have presented realistic case studies for three major renewable generation hubs in Australia to quantitatively demonstrate these trade-offs. We conclude the discussion on a number of insights to use the scale efficiency and market benefit concepts in a complementary way to shape future regulatory developments. © 2011 IEEE.
Computer Networks | Year: 2013
This article presents an empirical and practice-based analysis of the question, why despite substantial investments, there are still major security weaknesses in today's information systems. Acknowledging that cyber security is not a purely technical discipline, the article takes a holistic approach and identifies four anti-patterns that are frequent in practice and detrimental to the goal of achieving strong cyber security. The first anti-pattern is that decisions about security are frequently based on intuition rather than data and rigor; this introduces cognitive biases and undermines decision quality. Second, many organizations fail to implement foundational security controls and consequently, are easy targets for opportunistic and novice attackers. Third, there is an overreliance on the relatively static threat knowledge in products such as virus scanners, while an inability to learn and adapt dynamically opens the door for advanced threats. Fourth, weaknesses in security governance create systemic control gaps and vulnerabilities. The article describes each anti-pattern and presents specific steps that organizations can take to overcome them. © 2013 Elsevier B.V. All rights reserved.
Energy Policy | Year: 2012
In recent years, energy policy makers have proposed a carbon tax as an economy-wide policy tool to curb greenhouse gas (GHG) emissions. The quantification of its impact on GHG emissions has relied on an energy-economy model, whose complexity often makes it difficult to comprehend how it simulates the interaction of a carbon tax and energy demand. This study therefore aims at developing an alternative model called the Carbon Tax Analysis Model (C-TAM). The elasticity-based approach used in C-TAM is less sophisticated than an equilibrium-based approach used in an energy-economy model, but C-TAM is designed to maximize its predictive capabilities by using a wide range of elasticities for each sector and fuel use, accounting for likely changes in fuel mix for electricity generation, and addressing the model's sensitivity to elasticity estimates with Monte Carlo simulation. The trial analysis in this study evaluates a potential carbon tax in Washington State, suggesting a carbon tax at US$30 per metric ton of CO 2 (tCO 2) lowers GHG emissions by 8.4% from the business-as-usual (BAU) scenario in 2035. The study concludes that C-TAM can provide meaningful policy implications by forecasting detailed impact on revenues and energy demand for each sector and fuel use. © 2012 Elsevier Ltd.
De Vos C.,Deloitte
European journal of preventive cardiology | Year: 2013
International research indicates that attendance of patients to a proposed cardiac rehabilitation (CR) programme varies between 21% and 75%. Addressing the reasons why cardiac patients are not participating will improve accessibility to CR. The objective of this study was to investigate patient compliance with cardiac rehabilitation and the reasons of refusing or abandoning the programme. Twenty hospital centres were recruited to participate. Each centre was asked to recruit patients from three patient groups, namely: percutaneous coronary intervention patients, patients that underwent major cardiac surgery, and patients being admitted because of an acute myocardial infarction and not belonging to the other two groups. Patients were asked to fill out a questionnaire during a follow-up outpatient consultation after the cardiac intervention. In total, 226 patients participated in the survey. Most patients were proposed (86%) and accepted (81% out of proposed) to attend a CR programme. Of those who accepted, 77% completed the programme. The main reasons that led to patients' refusal to participate in a CR programme were distance to the CR centre, patients' belief they could handle their own problems, and lack of time. The main three reasons for not completing an initiated CR programme were other physical problems, patients' belief they could handle their own problems, and the cost of rehabilitation. Our findings demonstrate the importance of raising patients' awareness of the benefits of CR. Addressing potential barriers to attend a CR programme should be investigated with patients individually in order to ensure compliance.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: EE-12-2014 | Award Amount: 1.02M | Year: 2015
Improving energy efficiency can deliver a range of benefits to the economy and society. However, energy efficiency programmes are often evaluated only on the basis of the energy savings they deliver, without considering the many other socio-economic and environmental intangible benefits delivered. As a result, the full value of energy efficiency improvements in both national and global economies may be significantly underestimated. The main aim of IN-BEE is to address the theme of energy efficiency and to describe and provide evidence for the many intangible benefits of improving energy efficiency through a multi-disciplinary approach, combining methods, datasets, and techniques from cutting edge research in law and economics, humanities and consumer behavior, regulation and environmental sciences, as well as engineering. The overall outcome of IN-BEE is to consolidate a set of policy recommendations for the EU and public/private institutions in charge of promoting energy efficiency, competitiveness and environmental and social sustainability. IN-BEE will impact on both consumers (residential and companies) and policy makers, by: Developing a set of indicators to measure intangible benefits of energy efficiency Developing Key Performance Indicators to assess the impact of energy efficiency strategies Studying relevant cases and identifying best practices Bridging policy makers and researchers through a web platform Involving a vast audience of stakeholders IN-BEE combines a strong scientific base with a concrete and focused approach (based on real-life case studies), aiming to involve primarily regional and local stakeholders and to support them in assessing results of previous plans and initiatives on energy efficiency and, above all, in designing new effective strategies.