Optimal sizing of combined PV-energy storage for a grid-connected residential building

In this paper, load profile and operational goal are used to find optimal sizing of combined PV-energy storage for a future grid-connected residential building. As part of this approach, five operational goals are introduced and the annual cost for each operation goal has been assessed. Finally, the optimal sizing for combined PV-energy storage has been determined, using direct search method. In addition, sensitivity of the annual cost to different parameters has been analyzed.

Towards an operational understanding of wellness

Despite the increased focus on wellness and wellness programs there is still no consensus as to what wellness is. This is in part because programs do not define wellness and in part because studies and programs employ vastly different outcome measures that arguably reflect other constructs such as health, well-being, and quality of life. In this paper, we suggest an operational understanding of wellness and show how wellness differs from health, quality of life and well-being. Academic literature on the subject of health, wellness, well-being and quality of life reveals confusion, as theorists and researchers frequently describe each of these constructs in a very similar manner. We argue that elements such as the context and target population in which the term wellness is used are critical for our understanding of the construct. While it is inevitable that cross-over exists between similar constructs, wellness does have distinctly identifiable features. These include: being both holistic and multidimensional, being focused on lifestyle behaviours, being about actions or processes, recognising the inter-relatedness between person and environment, and being unique by way of goal and context.

Latest developments in data analysis tools for disruption prediction and for the exploration of multimachine operational spaces.

In the last years significant efforts have been devoted to the development of advanced data analysis tools to both predict the occurrence of disruptions and to investigate the operational spaces of devices, with the long term goal of advancing the understanding of the physics of these events and to prepare for ITER. On JET the latest generation of the disruption predictor called APODIS has been deployed in the real time network during the last campaigns with the new metallic wall. Even if it was trained only with discharges with the carbon wall, it has reached very good performance, with both missed alarms and false alarms in the order of a few percent (and strategies to improve the performance have already been identified). Since for the optimisation of the mitigation measures, predicting also the type of disruption is considered to be also very important, a new clustering method, based on the geodesic distance on a probabilistic manifold, has been developed. This technique allows automatic classification of an incoming disruption with a success rate of better than 85%. Various other manifold learning tools, particularly Principal Component Analysis and Self Organised Maps, are also producing very interesting results in the comparative analysis of JET and ASDEX Upgrade (AUG) operational spaces, on the route to developing predictors capable of extrapolating from one device to another.

Applied operational research with SAS

Using a wide range of operational research (OR) optimization examples, Applied Operational Research with SAS demonstrates how the OR procedures in SAS work. The book is one of the first to extensively cover the application of SAS procedures to OR problems, such as single criterion optimization, project management decisions, printed circuit board assembly, and multiple criteria decision making. The text begins with the algorithms and methods for linear programming, integer linear programming, and goal programming models. It then describes the principles of several OR procedures in SAS. Subsequent chapters explain how to use these procedures to solve various types of OR problems. Each of these chapters describes the concept of an OR problem, presents an example of the problem, and discusses the specific procedure and its macros for the optimal solution of the problem. The macros include data handling, model building, and report writing. While primarily designed for SAS users in OR and marketing analytics, the book can also be used by readers interested in mathematical modeling techniques. By formulating the OR problems as mathematical models, the authors show how SAS can solve a variety of optimization problems.

Az európai uniós támogatások hatékonysága és hatásossága közötti különbség a ROP 1.2 intézkedésnél (The difference between the efficiency and effectiveness of using the EU-subsidies at Regional Operational Program)

A szerző cikkében megpróbál rávilágítani annak fontosságára, hogy az Európai Unióból érkező fejlesztési támogatások hasznosulása és a támogatási rendszer hatékonysága között jelentős különbség van. Ha nem tudjuk hatékonyan és hatásosan felhasználni az Unióból érkező pénzügyi eszközöket, akkor a cél: a kohézió, a konvergencia az Európai Unió régi tagállamainak fejlettségi szintjéhez, jólétéhez még nehezebben és lassabban érhető el. Az uniós támogatások hatékonysága alapvetően a rendelkezésre álló pénz lekötésének, lehívásának arányából, illetve a lekötött, lehívott és esetleg visszafizetett összeg arányából állapítható meg (kvantitatív megközelítés). A támogatások felhasználásának hatékonyságánál bonyolultabb, jóval összetettebb megközelítést igényel a hatásosság fogalma. A felhasználás hatásosságát a projektszinten a támogatás hatására megtermelt hozzáadott értékkel, programszinten a GDP hozzáadott növekedéssel lehet kifejezni. A cikk alapvetően a ROP 1.2 "Turisztikai fogadóképesség javítása" pályázati kiírás nyertes projektjeinél végzett kutatás eredményein keresztül kívánja szemléltetni a projektszintű vagy mikro hatásosság fontosságára (kvalitatív megközelítés). _________ The author tries to highlight the importance the difference between the efficiency and effectiveness of using the EU-subsidies. If Hungary cannot use the financial means of the EU efficiently and effectively, than the goal: cohesion and convergence to the level of the old, developed countries of the EU will be much harder and slowly. The efficiency of the EU-subsidies can be measured by the ratio of the amount of money obliged and the amount of money spent, and by the amount of money withdrawn by the Commission, which is actually lost (quantitative approach). The effectiveness of EU-subsidies needs a much more complicated and complex approach, than the efficiency. The effectiveness of usage on project level can be measured by the "added value" of the project, on program level by the added GDP growth or employment. The article is analysing basically the results of a survey made among the winner project of the application ROP 1.2 (Regional Operational Program 1.2) Improving the capacity for tourism (project level or micro effectiveness – qualitative approach).

The necessary alignment between technology innovation effectiveness and operational effectiveness

Organisations are increasingly investing in complex technological innovations such as enterprise information systems with the aim of improving the operations of the business, and in this way gaining competitive advantage. However, the implementation of technological innovations tends to have an excessive focus on either technology innovation effectiveness (also known as system effectiveness), or the resulting operational effectiveness; focusing on either one of them is detrimental to the long-term enterprise benefits through failure to achieve the real value of technological innovations. The lack of research on the dimensions and performance objectives that organisations must be focusing on is the main reason for this misalignment. This research uses a combination of qualitative and quantitative, three-stage methodological approach. Initial findings suggest that factors such as quality of information from technology innovation effectiveness, and quality and speed from operational effectiveness are important and significantly well correlated factors that promote the alignment between technology innovation effectiveness and operational effectiveness.

International practices in investment decision making in road sector

This document provides the findings of an international review of investment decision-making practices in road asset management. Efforts were concentrated on identifying the strategic objectives of agencies in road asset management, establishing and understanding criteria different organisations adopted and ascertaining the exact methodologies used by different countries and international organisations. Road assets are powerful drivers of economic development and social equity. They also have significant impacts on the natural and man-made environment. The traditional definition of asset management is “A systematic process of maintaining, upgrading and operating physical assets cost effectively. It combines engineering principles with sound business practices and economic theory and it provides tools to facilitate a more organised, logical approach to decision-making” (US Dept. of Transportation, 1999). In recent years, the concept has been broadened to cover the complexity of decision making, based on a wider variety of policy considerations as well as social and environmental issues rather than is covered by Benefit-Cost analysis and pure technical considerations. Current international practices are summarised in table 2. It was evident that Engineering-economic analysis methods are well advanced to support decision-making. A range of tools available supports performance predicting of road assets and associated cost/benefit in technical context. The need for considering triple plus one bottom line of social, environmental and economic as well as political factors in decision-making is well understood by road agencies around the world. The techniques used to incorporate these however, are limited. Most countries adopt a scoring method, a goal achievement matrix or information collected from surveys. The greater uncertainty associated with these non-quantitative factors has generally not been taken into consideration. There is a gap between the capacities of the decision-making support systems and the requirements from decision-makers to make more rational and transparent decisions. The challenges faced in developing an integrated decision making framework are both procedural and conceptual. In operational terms, the framework should be easy to be understood and employed. In philosophical terms, the framework should be able to deal with challenging issues, such as uncertainty, time frame, network effects, model changes, while integrating cost and non-cost values into the evaluation. The choice of evaluation techniques depends on the feature of the problem at hand, on the aims of the analysis, and on the underlying information base At different management levels, the complexity in considering social, environmental, economic and political factor in decision-making is different. At higher the strategic planning level, more non-cost factors are involved. The complexity also varies based on the scope of the investment proposals. Road agencies traditionally place less emphasis on evaluation of maintenance works. In some cases, social equity, safety, environmental issues have been used in maintenance project selection. However, there is not a common base for the applications.

eValuBuild

The overall goal of the project was to provide a tool for improved investment decision making for functional performance of investment property. The evaluation examines both ex post and ex ante building performance within operational and investment contexts and considers the resultant financial, environmental and social impacts.

Workflow simulation for operational decision support

Simulation is widely used as a tool for analyzing business processes but is mostly focused on examining abstract steady-state situations. Such analyses are helpful for the initial design of a business process but are less suitable for operational decision making and continuous improvement. Here we describe a simulation system for operational decision support in the context of workflow management. To do this we exploit not only the workflow’s design, but also use logged data describing the system’s observed historic behavior, and incorporate information extracted about the current state of the workflow. Making use of actual data capturing the current state and historic information allows our simulations to accurately predict potential near-future behaviors for different scenarios. The approach is supported by a practical toolset which combines and extends the workflow management system YAWL and the process mining framework ProM.

Science education policy-making : eleven emerging issues

The Perth Declaration on Science and Technology Education of 2007 expresses strong concern about the state of science and technology education worldwide and calls on governments to respond to a number of suggestions for establishing the structural conditions for their improved practice. The quality of school education in science and technology has never before been of such critical importance to governments. There are three imperatives for its critical importance. The first relates to the traditional role of science in schooling, namely the identification, motivation and initial preparation of those students who will go on to further studies for careers in all those professional fi elds that directly involve science and technology. A suffi cient supply of these professionals is vital to the economy of all countries and to the health of their citizens. In the 21st century they are recognised everywhere as key players in ensuring that industrial and economic development occurs in a socially and environmentally sustainable way. In many countries this supply is now falling seriously short and urgently needs to be addressed. The second imperative is that sustainable technological development and many other possible societal applications of science require the support of scientifically and technologically informed citizens. Without the support and understanding of citizens, technological development can all too easily serve short term and sectional interests. The longer term progress of the whole society is overlooked, citizens will be confused about what should, and what should not be supported, and reactive and the environment will continue to be destroyed rather than sustained. Sustainable development, and the potential that science and technology increasingly offers, involves societies in ways that can often interact strongly, with traditional values, and hence, making decisions about them involve major moral decisions. All students need to be prepared through their science and technology education to be able to participate actively as persons and as responsible citizens in these essential and exciting possibilities. This goal is far from being generally achieved at present, but pathways to it are now more clearly understood. The third imperative derives from the changes that are resulting from the application of digital technologies that are the most rapid, the most widespread, and probably the most pervasive influence that science has ever had on human society. We all, wherever we live, are part of a global communication society. Information exchange and access to it that have been hitherto the realm of the few, are now literally in the hands of individuals. This is leading to profound changes in the World of Work and in what is known as the Knowledge Society. Schooling is now being challenged to contribute to the development in students of an active repertoire of generic and subject-based competencies. This contrasts very strongly with existing priorities, in subjects like the sciences that have seen the size of a student’s a store of established knowledge as the key measure of success. Science and technology education needs to be a key component in developing these competencies. When you add to these imperatives, the possibility that a more effective education in science and technology will enable more and more citizens to delight in, and feel a share in the great human enterprise we call Science, the case for new policy decisions is compellingly urgent. What follows are the recommendations (and some supplementary notes) for policy makers to consider about more operational aspects for improving science and technology education. They are listed under headings that point to the issues within each of these aspects. In the full document, a background is provided to each set of issues, including the commonly current state of science and technology education. Associated with each recommendation for consideration are the positive Prospects that could follow from such decision making, and the necessary Prerequisites, if such bold policy decisions are to fl ow, as intended, into practice in science and technology classrooms.

The strategic and operational dimensions of staff training and professional development for information professionals : what neXus2 has revealed

The paper seeks to continue the debate about the need for professionals in the library and information services (LIS) sector to continually engage in career-long learning to sustain and develop their knowledge and skills in a dynamic industry. Aims: The neXus2 workforce study has been funded by the ALIA and the consortium of National and State Libraries Australasia (NSLA). It builds on earlier research work (the neXus census) that looked at the demographic, educational and career perspectives of individual library and information professions, to critically examine institutional policies and practices associated with the LIS workforce. The research aims to develop a clearer understanding of the issues impacting on workforce sustainability, workforce capability and workforce optimisation. Methods: The research methodology involved an extensive online survey conducted in March 2008 which collected data on organisational and general staffing; recruitment and retention; staff development and continuing professional education; and succession planning. Encouragement to participate was provided by key industry groups, including academic, public, health, law and government library and information agencies, with the result that around 150 institutions completed the questionnaire. Results: The paper will specifically discuss the research findings relating to training and professional development, to measure the scope and distribution of training activities across the workforce, to consider the interrelationship between the strategic and operational dimensions of staff development in individual institutions and to analyse the common and distinctive factors evident in the different sectors of the profession. Conclusion: The neXus2 project has successfully engaged LIS institutions in the collection of complex industry data that is relevant to the future education and workforce strategies for all areas of the profession. Cross-sector forums such as Information Online 2009 offer the opportunity for stimulating professional dialogue on the key issues.