REMIND-D: A Hybrid Energy-Economy Model of Germany

This paper presents a detailed documentation of the hybrid energy-economy model REMIND-D. REMIND-D is a Ramsey-type growth model for Germany that integrates a detailed bottom-up energy system module, coupled by a hard link. The model provides a quantitative framework for analyzing long-term domestic CO2 emission reduction scenarios. Due to its hybrid nature, REMIND-D facilitates an integrated analysis of the interplay between technological mitigation options in the different sectors of the energy system as well as overall macroeconomic dynamics. REMIND-D is an intertemporal optimization model, featuring optimal annual mitigation effort and technology deployment as a model output. In order to provide transparency on model assumptions, this paper gives an overview of the model structure, the input data used to calibrate REMIND-D to the Federal Republic of Germany, as well as the techno-economic parameters of the technologies considered in the energy system module.Hybrid Model, Germany, Energy System, Domestic Mitigation

What's the Difference? How Foundation Trustees View Evaluation

Trustee Evaluation ToolkitTrustees care deeply about impact. Understanding results is part of their fiduciary duty. As foundations strive to improve performance, advance accountability and share knowledge, their desire for evaluation -- reliable data on organizational effectiveness -- grows. Based on discussions with trustees, we've heard that current evaluation approaches don't always generate useful information. In too many cases, foundation evaluation practices don't align with trustee needs. Trustees across the United States believe there are ways to improve how we determine the effectiveness of social investments. FSG Social Impact Advisors, with funding from the James Irvine Foundation, interviewed dozens of foundation trustees, CEOs and evaluation experts to uncover critical issues and exciting ideas related to evaluation. This "toolkit" shares highlights from these interviews, and explores innovative new approaches

Growing Smarter: Achieving Sustainability in Emerging Community Foundations

It's a striking paradox: as community foundations grow their assets, their sustainability is often threatened. That's the conclusion of a new paper written by FSG Social Impact Advisors and sponsored by The James Irvine Foundation. "Growing Smarter: Achieving Sustainability in Emerging Community Foundations" is based on research with growing and small community foundations. The information and models presented have relevance to community foundations of virtually any size that are interested in better understanding and enhancing their economic models

Advancing Good Governance: How Grantmakers Invest in the Governance of Nonprofit Organizations

Over the last decade, growing numbers of nonprofit organizations and grantmakers have recognized the need for capacity-building in nonprofit organizations. In 2006, U.S. funding for capacity-building topped $1 billion -- a 126% increase over 2000. Leadership capacity has received particular attention, but utilizing the board of directors has often been overlooked. Today, nonprofits and grantmakers are seeking to leverage the inherent assets of these governing groups. This report represents a revealing overview of nonprofit grantmaking in the new economy

Extended X-ray emission from non-thermal sources in the COSMOS field: A detailed study of a large radio galaxy at z=1.168

X-ray selected galaxy group samples are usually generated by searching for extended X- ray sources that reflect the thermal radiation of the intragroup medium. On the other hand, large radio galaxies that regularly occupy galaxy groups also emit in the X-ray window, and their contribution to X-ray selected group samples is still not well understood. In order to investigate their relative importance, we have carried out a systematic search for non-thermal extended X-ray sources in the COSMOS field. Based on the morphological coincidence of X-ray and radio extensions, out of 60 radio galaxies, and \sim 300 extended X-ray sources, we find only one candidate where the observed extended X-ray emission arises from non- thermal processes related to radio galaxies. We present a detailed analysis of this source, and its environment. Our results yield that external Inverse Compton emission of the lobes is the dominant process that generates the observed X-ray emission of our extended X-ray candidate, with a minor contribution from the gas of the galaxy group hosting the radio galaxy. Finally, we show that finding only one potential candidate in the COSMOS field (in a redshift range 0 < z < 6 and with radio luminosity between 1025 and 1030 W/Hz) is consistent with expected X-ray-counts arising from synchrotron lobes. This implies that these sources are not a prominent source of contamination in samples of X-ray selected clusters/groups, but they could potentially dominate the z > 1 cluster counts at the bright end (S_X > 7 \cdot 10^-15 erg s^-1 cm^2).Comment: 11 pages, 10 figures, 2 tables, accepted for publication in MNRA

Küstennahe Grundwassersysteme: Kartierung der Chloridverteilung aus Bohrdaten und Geophysik

Information on chloride (Cl) distribution in aquifers is essential for planning and management of coastal zone groundwater resources as well as for simulation and validation of density-driven groundwater models. We developed a method to derive chloride concentrations from borehole information and helicopter-borne electromagnetic (HEM) data for the coastal aquifer in the Elbe-Weser region where observed chloride and electrical conductivity data reveal that the horizontal distribution of salinity is not uniform and does not correlate with the coastline. The integrated approach uses HEM resistivity data, borehole petrography information, grain size analysis of borehole samples as well as observed chloride and electrical conductivity to estimate Cl distribution. The approch is not straightforward due to the complex nature of the geology where clay and silt are present. Possible errors and uncertainties involved at different steps of the method are discussed.Informationen zur Chloridverteilung im Grundwasserleiter sind für Planung und Management von Grundwasserressourcen in Küstengebieten sowie für die Simulation und Validierung von dichtegesteuerten Grundwassermodellen von wesentlicher Bedeutung. Es wurde eine Methode zur Ableitung der Chloridkonzentration aus Bohrungen und hubschrauber-elektromagnetischen Daten (HEM) entwickelt und für den Küstengrundwasserleiter des Elbe-Weser-Dreiecks eingesetzt. Die dort beobachteten Chloriddaten und elektrischen Leitfähigkeitsdaten zeigen eine ungleichmäßige horizontale Verteilung des Salzgehalts, die nicht mit der Küstenlinie korreliert. Der integrierte Ansatz verwendet HEM-Daten des spezifischen elektrischen Widerstands, Bohrloch-Petrographie-Informationen, Korngrößenanalysen von Bohrlochproben sowie beobachtete Chlorid- und elektrische Leitfähigkeitswerte, um die Chlorid-Verteilung abzuschätzen. Mögliche Fehler und Unsicherheiten bei den verschiedenen Schritten des Verfahrens werden diskutiert

Learning to Detect and Prevent Elder Abuse: The Need for a Valid Risk Assessment Instrument

AbstractPrevalence data of elder abuse from social and health services only present a tip of the iceberg. A large amount of situations is left undetected. Professionals often lack knowledge and skills on the topic. Consequently, this paper focuses on training professionals to prevent and assess elder abuse by drawing on a literature search and previous quantitative research on learning and supporting the prevention of elder abuse. This paper provides an understanding of the multi-dimensionality of elder abuse, explores the potential and need for an assessment instrument to support prevention by professionals and examines existing instruments, while addressing a number of shortcomings. Education programmes for care professionals often include identifying signs and symptoms of elder abuse, how to manage suspected cases, and the role of the professional in protecting potential victims and ethical issues. However, there lacks a user-friendly, brief, multi-dimensional instrument, which could support professionals in identifying symptoms of elder abuse

OpenMS - A Framework for Quantitative HPLC/MS-Based Proteomics

In the talk we describe the freely available software library OpenMS which is currently under development at the Freie Universität Berlin and the Eberhardt-Karls Universität Tübingen. We give an overview of the goals and problems in differential proteomics with HPLC and then describe in detail the implemented approaches for signal processing, peak detection and data reduction currently employed in OpenMS. After this we describe methods to identify the differential expression of peptides and propose strategies to avoid MS/MS identification of peptides of interest. We give an overview of the capabilities and design principles of OpenMS and demonstrate its ease of use. Finally we describe projects in which OpenMS will be or was already deployed and thereby demonstrate its versatility

Reactivation of Microbial Strains and Synthetic Communities After a Spaceflight to the International Space Station: Corroborating the Feasibility of Essential Conversions in the MELiSSA Loop

To sustain human deep space exploration or extra-terrestrial settlements where no resupply from the Earth or other planets is possible, technologies for in situ food production, water, air, and waste recovery need to be developed. The Micro-Ecological Life Support System Alternative (MELiSSA) is such a Regenerative Life Support System (RLSS) and it builds on several bacterial bioprocesses. However, alterations in gravity, temperature, and radiation associated with the space environment can affect survival and functionality of the microorganisms. In this study, representative strains of different carbon and nitrogen metabolisms with application in the MELiSSA were selected for launch and Low Earth Orbit (LEO) exposure. An edible photoautotrophic strain (Arthrospira sp. PCC 8005), a photoheterotrophic strain (Rhodospirillum rubrum S1H), a ureolytic heterotrophic strain (Cupriavidus pinatubonensis 1245), and combinations of C. pinatubonensis 1245 and autotrophic ammonia and nitrite oxidizing strains (Nitrosomonas europaea ATCC19718, Nitrosomonas ureae Nm10, and Nitrobacter winogradskyi Nb255) were sent to the International Space Station (ISS) for 7 days. There, the samples were exposed to 2.8 mGy, a dose 140 times higher than on the Earth, and a temperature of 22 degrees C +/- 1 degrees C. On return to the Earth, the cultures were reactivated and their growth and activity were compared with terrestrial controls stored under refrigerated (5 degrees C +/- 2 degrees C) or room temperature (22 degrees C +/- 1 degrees C and 21 degrees C +/- 0 degrees C) conditions. Overall, no difference was observed between terrestrial and ISS samples. Most cultures presented lower cell viability after the test, regardless of the type of exposure, indicating a harsher effect of the storage and sample preparation than the spaceflight itself. Postmission analysis revealed the successful survival and proliferation of all cultures except for Arthrospira, which suffered from the premission depressurization test. These observations validate the possibility of launching, storing, and reactivating bacteria with essential functionalities for microbial bioprocesses in RLSS

Variable Renewable Energy in Modeling Climate Change Mitigation Scenarios

This paper addresses the issue of how to account for short‐term temporal variability of renewable energy sources and power demand in long‐term climate change mitigation scenarios in energy‐economic models. An approach that captures in a stylized way the major challenges to the integration of variable renewable energy sources into power systems has been developed. As a first application this approach has been introduced to REMIND‐D, a hybrid energy‐economy model of Germany. An approximation of the residual load duration curve is implemented. The approximating function endogenously changes depending on the penetration and mix of variable renewable power. The approach can thus be used to account for variability and correlations between different sources of renewable supply and power demand within the intertemporal optimization of long‐term (energy system) investment decisions in climate change mitigation scenarios. Moreover, additional constraints are introduced to account for flexibility requirements concerning loadfollowing and ancillary services. The parameterization is validated with MICOES a highly resolved dispatch model. Model results show that significant changes are induced when the new residual load duration curve methodology is implemented. With variability, scenarios show that the German power sector is no longer fully decarbonized because natural gas combined‐cycle plants are built to complement renewable energy generation. The mitigation costs increase by about 20% compared to a model version in which variability is not taken into account