Rovdjursinventering Järv 2015 : Rovdjursinventering Järv 2015. Järvstammen i Sverige – något minskande

Den senaste populationsberäkningen 2015 visar att järvstammen minskar något. Beräkningen visar att det finns omkring 921 (793–1 142) järvar i Skandinavien varav 585 (481–758) i Sverige. Inventeringarna ger kunskap om rovdjursstammarnas storlek, var de lever och hur stammarna utvecklas över tiden. Bra underlag är nödvändiga för att det ska vara möjligt att bedriva en ansvarsfull och långsiktigt hållbar förvaltning av våra stora rovdjur.

Unified pinch approach for targeting of carbon capture and storage (CCS) systems with multiple time periods and regions

Carbon capture and storage (CCS) is a key technology for the mitigation of industrial carbon dioxide (CO2) emissions. It involves the reduction of emissions from large industrial facilities (i.e., sources) by capturing the CO2 from the exhaust gases and subsequently storing it in appropriate geological storage sites (i.e., sinks) such as depleted oil and/or gas reservoirs, saline aquifers, coal seams and other similar formations. In practice, these sites may not be readily available for storage at the same time or before the sources are operating, which gives rise to a temporal aspect in the planning problem. At the same time, sources and sinks may need to be clustered geographically to minimize the need to transport CO2 over long distances. This work presents an improved pinch analysis based methodology by simultaneously considering injectivity constraint of every sink as well as time of availability of various sources and sinks. Three illustrative case studies are used to demonstrate the applicability of the proposed methodology. The first two case studies illustrate graphical and algebraic variants, while the third case studies shows an extension that involves two distinct geographical regions. (C) 2013 Elsevier Ltd. All rights reserved

A Graphical Approach for Pinch-Based Source-Sink Matching and Sensitivity Analysis in Carbon Capture and Storage Systems

Carbon capture and storage (CCS) is regarded as an important interim technology for the reduction of carbon dioxide (CO2) emissions from large industrial facilities such as power plants and refineries. CCS involves capture of concentrated CO2 streams from point sources (industrial flue gases), followed by subsequent secure storage in an appropriate natural reservoir. Such reservoirs include various geological formations such as depleted oil or gas wells, inaccessible coal seams, and saline aquifers. In practice, such storage sites will have limitations on both CO2 storage capacity and injection rate, subject to geological characteristics. In this work, a graphical approach is proposed for matching multiple CO2 soruces and storage sites (sinks) optimally within a predefined geographical region. The technique is developed on the basis of analogies withe existing graphical pinch analysis approaches for the synthesis of industrial resource conservation networks (RCNs). Generalized principles for optimal CO2 source-sink matching based on pinch analysis insights are discussed in this work. In addition, sensitivity of the system to the uncertainties that occur in CCS planning (e.g., variation of actual injectivity and capacity as well as options for increase or decrease of source lifetime) is considered. Realistic case studies are shown to illustrate these various aspects of methodology

A model for medical staff idleness minimization

Operation research concepts can help healthcare facilities with unplanned situations, crisis, and handling of supplies, utilities, and strategies. A methodology for dealing with the Man-Hour (MH) distribution in a cellular type Healthcare Organization (HCO) is introduced, and its goal is to maximize the use of resources and workforce. The problem is modeled via Linear Programming (LP), which results in a minimal cost flow problem with the simplex algorithm. The proposed framework (MCFP) can motivate individuals, reward ability and individual knowledge (not only moneywise) plus improving patient care. Such model can help to devise a software tool for decision making with performance and efficiency; it brings direct profit for the HCO and its staff due to the superior management of their MHs, and it increases the benefits to the community they serve. The methodology models MHs in an HCO to optimize management, decision-making tasks, and resource distribution140633645Proceedings of the 4th Brazilian Technology Symposium (BTSym'18)2018Idleness minimization Healthcare system model Minimal cost flow problem Motivation rewards Linear programming Graph theory applications Simplex algorithm Healthcare work assignmen